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Journals
- Indian Forester
- Indian Journal of Science and Technology
- International Journal of Physics and Applications
- International Journal of Pure and Applied Physics
- Journal of Biological Control
- Indian Journal of Physiotherapy & Occupational Therapy-An International Journal
- Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)
- Journal of Geological Society of India (Online archive from Vol 1 to Vol 78)
- Journal of Surface Science and Technology
- The Indian Practitioner
- Current Science
- Journal of Ecophysiology and Occupational Health
- International Journal of Medical and Dental Sciences
- Data Mining and Knowledge Engineering
- Nature Environment and Pollution Technology
- Asian Journal of Research in Chemistry
- Veterinary World
- International Journal of Vehicle Structures and Systems
- International Journal of Scientific Engineering and Technology
- Invertis Journals of Renewable Energy
- Journal of Scientific and Technical Research (Sharda University, Noida)
- Himachal Journal of Agricultural Research
- Indian Welding Journal
- Journal of Mines, Metals and Fuels
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Kumar, A.
- Ethnobotany of Indigofera Cassioides Rottler Ex DC.
Abstract Views :233 |
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Authors
Source
Indian Forester, Vol 135, No 2 (2009), Pagination: 227-230Abstract
The present paper provides botanical description, phenology, vernacular names, ecology and distribution along with less known edible, medicinal and other uses of Indigofera cassioides Rottler ex DC. in different parts of India on the basis of field and literature study. This paper also provides method of cultivation of the plant in the waste/barren land as a subsidiary food crop and for the economic benefits of the tribal people.Keywords
Indigofera Cassioides, Ethno-botany, Food Crop, Propagation
- Towards a Landscape Conservation Strategy: Analysis of Jhum Landscape and Proposed Corridors for Managing Elephants in South Garo Hills District and Nokrek Area, Meghalaya
Abstract Views :304 |
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Indian Forester, Vol 128, No 2 (2002), Pagination: 207-216Abstract
In the South Garo Hills District and Nokrek area of Western Meghalaya, statistical analyses suggest very low elephant densities and greatest declines of elephants in areas with >10% bamboo and secondary forest (6-10 years old) and >10% scrub and abandonedjhum fields (old fallow jhum 3-6 years old). Elephant densities are hi'ghest, and declines are the least, in areas with >25% semi-evergreen forest (old secondary forests 15-30+ years old). Data on elephant sign (use) in the field generally support these findings, with selection by elephants (ie., use significantly exceeding availability) for native semi-evergreen forest, and lack of selection (use significantly less than availability) for deciduous forests (including Sal forest, Teak, and Cashew plantations) and for scrub and abandonedjhum fields. To maintain elephant populations in the South Garo Hills District and Nokrek area, we suggest official delineation of 7 elephant habitat corridors that we mapped as having low degree of fragmentation of forest cover and a high proportion of contiguous, semi-evergreen and evergreen forest cover.- Silvi-pastoral System for Development of Degraded Lands
Abstract Views :318 |
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Source
Indian Forester, Vol 132, No 3 (2006), Pagination: 269-272Abstract
Under the present investigation suitable silvipasture model has been developed for large scale planting of fodder tree-grass combination in saline-alkali soils of U.P. Three tree species viz. Leucaena leucocephala, Albizia lebbek and Cassia siamea along with forage grasses like Brachiaria mutica, Panicum maximum and Chloris gayana were planted in spacement of 4.0m × 2.50m (Tree spp.) and 0.50m × 0.50m (Grass spp.), respectively. The results revealed considerable improvement of the entire system with huge amount of fodder biomass production.- Decomposed Coconut Compith - a Good Nursery Media Mix for Eucalyptus Spp.
Abstract Views :202 |
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Authors
Source
Indian Forester, Vol 123, No 8 (1997), Pagination: 769-772Abstract
Among the six media mixes tested, the DCCP 50 and DCCP 25 increased the vigour, dry matter and number of secondary leaves of E. camaldulensis and E. tereticornis seedlings both in nursery and containers.- Toxin Production by Fusarium solani Causing Eucalyptus Wilt
Abstract Views :186 |
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Indian Forester, Vol 119, No 4 (1993), Pagination: 306-309Abstract
Toxin production by Fusarium solani, the causal agent of Eucalyptus wilt was studied in-vitro. The fungal culture filtrates inhibited considerably seed germination along with radicle and plumule elongations. Richard's, Coon's, Czapek's, Asthana and Hawker's media were found to support phytotoxin production by the pathogen.- Effect of Cadmium Sulphate on Protien and Carbohydrate Level in Brain and Ovary of Fresh Water Fish Heteropneustes fossilis (BLOCH)
Abstract Views :360 |
PDF Views:88
Authors
Affiliations
1 Department of Animal Applied Sciences, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025, IN
1 Department of Animal Applied Sciences, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025, IN
Source
Indian Journal of Science and Technology, Vol 4, No S8 (2011), Pagination: 253-254Abstract
No AbstractFull Text
References
- Wright, D. A. and Welbourn P. M. 1994. Cadmium in the aquatic environment: a review of ecological, physiological, and toxicological effects on biota. Environ. Rev., 2: 187-214.
- Vaglio, A., Landriscina, C, 1999. Changes in liver enzyme activity in the teleost Sparus aurata in response to cadmium intoxication. Ecotoxicol. Environ Saf., 43: 111-6.
- Mikryakov, V. R., Zabotkina, E. A. 2001. Response of fish immune system upon water pollution by toxicants and water acidification. Moscow, Nauka., pp. 126.
- Sastry, K.V., Subhadra, 1982. Effect of cadmium on some aspects of carbohydrate metabolism in a freshwater catfish , Heteropneustes fossilis, Toxicol. Lett.,14: 45-55.
- Larsson , A., Haux, C. 1982. Altered carbohydrate metabolism in fish exposed to sub-lethal of cadmium. J. Environ. Biol., 3: 71-81.
- Point Asymmetry in Charge Shift Model for Electric Field Gradient in TCP Metals
Abstract Views :397 |
PDF Views:0
Authors
Affiliations
1 Department of Physics, College Of Commerce, Patna., IN
1 Department of Physics, College Of Commerce, Patna., IN
Source
International Journal of Physics and Applications, Vol 5, No 1 (2013), Pagination: 25-32Abstract
Electric field gradient at nuclear site in the lattice of tetragonal close packed (TCP) metals such as Indium is computed using the theory developed on the pattern of the Charge Shift Model initiated for hexagonal close packed (hcp) lattice. Numerical results are obtained using FORTRAN programs developed by us for electric field gradient in Indium. A tabulation of lattice sums for electric gradient in this metal suggests that all the three nonequivalent sites under the charge shift ansatz do not simultaneously pass through null electric field gradient for the case when the tcp lattice of the element transforms to body centered cubic lattice with axial ratio unity. At least one non-equivalent electronic site in the frame work of the charge shift model lacks the point symmetry of tetragonal system and contributes an extra electric field gradient.Keywords
Lattice Sum, TCP Lattice, Electric Field Gradient, Indium, Charge Shift, Body Centered Cubic LatticeReferences
- T.P. Das, Physica Scripta 11 12 (1975)
- Mahapatra N.C, Patnaik P.C., Thomson M.D, Das T.P. Phys. Rev. B16 30001(1977)
- E. Bodenstedt and B Parscheid, Hyp. Int. 5 291 (1978)
- H.C. Verma and G.N. Rao, Phys. Lett. A82 303(1981)
- S. Chandra and H.C. Verma, Phys. St. Sol. B K73 131 (1985)
- S.N. Gupta, G. Verma and H.C Verma, Pramana 23 39 (1984)
- S. Chandra and H.C.Verma, Phys. Rev. B34 9(1986)
- S. Chandra and H.C.Verma, Phys. St. Sol.(b) 145(1988)K1
- S.N. Gupta, A. Anand, S. Chandra and B.C. Rai, J.Phy.Sc. vol 12 no. 1159 (2010)
- H.C. Verma, B.kumar, B.C. Rai and S. Chandra, Hyp. Int. 52 97 (1989)
- F.W.de Wette, Phys. Rev. 123, 1 (1961)
- D.P.Verma, A.Yadav and H.C.Verma, Pramana 21 357(1983)
- D.P. Verma, B. Kumar and H.C. Verma, Pramana 25 211 (1985)
- T.P.Das and R.Bersohn, Phys. Rev. 102 733 (1965)
- R.M.Sternheimer, Phys. Rev. 130 (1963)1423, Phys. Rev. 159, 2(1967)
- Electric Quadrupole Moment of Nuclei in TCP Metals
Abstract Views :415 |
PDF Views:2
Authors
Affiliations
1 P.G.Centre, Department of Physics, College of Commerce, Patna., IN
1 P.G.Centre, Department of Physics, College of Commerce, Patna., IN
Source
International Journal of Pure and Applied Physics, Vol 9, No 1 (2013), Pagination: 51-56Abstract
Nuclear quadrupole moments are derived using nuclear quadrupole coupling constants and electric field gradients (EFG) at nuclear site in the lattice of tetragonal close packed (TCP) metals such as stannum (119Sn). EFG are obtained using a model developedonthe pattern similar to the charge shift model initiated for hexagonal close packed lattice.Numerical results are obtained using FORTRAN programs developed by us.Keywords
TCP Lattice, Electric Field Gradient, Nuclear Quadrupole Moment, Charge ShiftReferences
- T.P.Das, PhysicaScripta 11, 12 (1975)
- Mahapatra N.C, Patnaik P.C., Thomson M.D, Das T.P. Phys. Rev. B16 30001(1977)
- E. Bodenstedt and B Parscheid, Hyp. Int. 5 291(1978)
- H.C. Verma and G.N. Rao, Phys. Lett. A82 303(1981)
- S. Chandra and H.C. Verma, Phys. St. Sol. B K73 131(1985)
- S.N.Gupta, G.Verma and H.C Verma, Pramana 23 39 (1984)
- S.Chandra and H.C.Verma, Phys. Rev. B34 9(1986)
- S. Chandra and H.C.Verma, Phys. St. Sol.(b) 145(1988)K1
- S.N. Gupta, A. Anand, S.Chandra and B.C.Rai, J.Phy.Sc. vol 2, no.1, 159-162 (2010)
- S.N.Gupta, A.Anand, S. Chandra and B. C. Rai, J. Phy. Sc.vol2, no.2, 35-38(2010).
- H.C.Verma, B. Kumar, B.C.Rai and S.Chandra, Hyp. Int. 52 97 (1989)
- B C Rai and A Kumar, I J P A, ISSN 0974-3103 vol 5, no. 1, 25-32(2013)
- B C Rai, I J P A, ISSN 0974-3103 vol 5, no. 1, 33-39 (2013)
- G.S. Collins and N. Benczer-Koller, Phy Rev B, vol 17, no. 5, (1978)
- T.P. Das and R. Bersohn, Phys. Rev. 102 733 (1965)
- R.M.Sternheimer, Phys. Rev. 130 (1963)1423, Phys. Rev. 159, 2(1967)
- W.P. Massion and H. Bomel, J. Acous. Soc. Am 28, 930 (1956)
- J.Christiansen, P. Heubes, R. Keitel, W.Loeffler, W.Sandner andW. Wittihun, Z.Phys. B24177(1976).
- Influence of Soil pH and Moisture on the Biocontrol Potential of Trichoderma harzianum on Phytophthora capsici-black Pepper System
Abstract Views :223 |
PDF Views:109
Authors
Affiliations
1 Indian Institute of Spices Research, Marikunnu P. O. Calicut 673 012, Kerala, IN
1 Indian Institute of Spices Research, Marikunnu P. O. Calicut 673 012, Kerala, IN
Source
Journal of Biological Control, Vol 24, No 2 (2010), Pagination: 153-157Abstract
The role of abiotic factors in maintaining the population and proliferation of Trichoderma harzianum (Rifai) with respect to the survival and multiplication of Phytophthora capsici in black pepper system was studied in conducive soil under pot culture conditions. Trichoderma harzianum could grow profusely at a pH range of 4.0-5.0, while P. capsici could grow better at pH 5.5-6.0. Trichoderma harzianum survived and proliferated in soil at a pH range of 4.5-5.5 with 10-15% moisture level. P. capsici survived at a pH range of 4.5-7.0, but its multiplication was at higher pH levels (6.6-7.0) as indicated by the disease potential index and it was also found capable of surviving at all moisture levels tested. When Phytophthora infested soil was supplemented with Trichoderma, a disease reduction of 27.5-63.75% was noticed in 20 days application compared to soil without Trichoderma supplement. Hence for the biological control of P. capsici in black pepper system, the pH of the soil has to be maintained after at 4.5-6.0 in order to facilitate the growth and proliferation of Trichoderma which in turn will reduce the population of Phytophthora.Keywords
Biological Control, Black Pepper, Foot Rot, Trichoderma harzianum, Phytophthora capsici, Survival.Full Text
- Effect of Trunk Control Retraining in Hemiparetic Patients with Postural Disturbances
Abstract Views :384 |
PDF Views:0
Authors
A. Kumar
1
Affiliations
1 Department of Physiotherapy, Guru Jambheshwar University, Hisar, Haryana, IN
1 Department of Physiotherapy, Guru Jambheshwar University, Hisar, Haryana, IN
Source
Indian Journal of Physiotherapy & Occupational Therapy-An International Journal, Vol 4, No 2 (2010), Pagination: 6-9Abstract
Background
Postural disorders are frequent in victims of hemiplegia and limit or delay the recovery of gait and functional independence. This makes postural control a priority in post stroke rehabilitation.
Objective
To find out the effectiveness of Trunk Control Retraining in Hemiparetic patients with postural disturbances and also to find out any probable relationship between postural disturbance and side of paresis.
Design
One group pre-test post-test quasi experimental design.
Setting
Tagore Hospital and Research Centre, Jalandhar.
Population & sampling
15 hemiparetic subjects of both sexes in age group of 40-65 years and of either side affection were selected by convenient sampling method (right and left hemi.) and assigned in a single group.
Intervention
Trunk control retraining therapy for duration of 30 min everyday for 4 times a week and for a total of 4 weeks duration. i.e. total 16 sessions was administered with trivially made Bon Saint Come device.
Main outcome measure
Patients were assessed before commencement and after the completion of 16th treatment session by a fixed battery of tests namely sitting equilibrium index and upright equilibrium index and then postural graphs were taken with the help of trivially made swaymeter.
Results and conclusions
Trunk Control Retraining has significant effect in improving the postural disturbances in right hemiparetic patients but there is no statistically significant effect on Left hemiparetic patients.
References
- Shumway-cook A, Woollacott M. motor control theory and practical application. Williams and Wilkins, Baltimore 1995.
- Wade DT, Wood VA, Hewer RL. Recovery after stroke: the first three months. J Neurol Neurosurg Psychiatry, 1985; 48:7-13.
- Cirstea MC, Ptito A, Levin MF: Arm reaching improvement with short term practice based on the severity of the motor deficits in stroke. Exp Brain Res. 2003; 152:476-488.
- Feigin L, Sharon B, Czaczkes B, Rosin AJ. Sitting equilibrium 2 weeks after a stroke can predict the walking ability after 6 months. Gerontology. 1996; 42:348 –353.
- Jongbloed L. Prediction of function after stroke: a critical review. Stroke.1986; 17:765–766.
- Kaminski TR, Bock C, Gentile AM. The coordination between trunk and arm movements. Exp brain Res, 1995; 106:457-466.
- Bobath B. Adult hemiplegia: evaluation and treatment. London: Heinemann; 1974.
- Winstein C, Gardner ER, McNeal DR, Barto PS, Nicholson DE. Standing balance training: effect on balance and locomotion in hemiparetic adults. Arch Phys Med Rehabil 1989; 70:755-62.
- Rode G, Tiliket C, Charlopain P, Boisson D. Postural asymmetry reduction by vestibular caloric stimulation in left hemiparetic patients. Scand J Rehabil Med 1998; 30:9-14.
- Magnusson M, Johansson K, Johansson BB. Sensory stimulation promotes normalization in postural control after stroke. Stroke 1994;25:1176-1180.
- Wiart L, Bon saint come A, Debelleix X, Petit H, Joseph PA, Mazaux JM, et al. unilateral neglect syndrome rehabilitation by trunk rotation and scanning training. Arch Phys Med Rehabil 1997; 78:424-9.
- Peurala SH, Könönen P, Pitkänen K, Sivenius J, Tarkka IM Postural instability in patients with chronic stroke. Restor Neurol Neurosci. 2007; 25(2):101-8.
- Ioffe ME, Ustinova KI, Chernikova LA, Kulikov MA. Supervised learning of postural tasks in patients with post stroke hemiparesis, Parkinson's disease or cerebellar ataxia, Exp Brain Res. 2006 Jan; 168(3):384- 94. Epub 2005 Sep 21.
- Winter DA, Prince F, Steriou P, Powell C. Medial-lateral and anterior-posterior motor responses associated with center of pressure changes in quite standing. Neurosciences Res Commun 1993; 12:141-148.
- An Online Interactive Bibliographic Information Retrieval System
Abstract Views :227 |
PDF Views:5
Authors
A. Kumar
1,
R. K. Srivastava
1
Affiliations
1 Defence Scientific Information and Documentation Centre, Metcalfe House, Delhi - 110054, IN
1 Defence Scientific Information and Documentation Centre, Metcalfe House, Delhi - 110054, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 24, No 3 (1987), Pagination: 173-183Abstract
An online interactive information retrieval system which, matches descriptor based queries against inverted descriptor data base is described. System design, software package used and I/O design details are given. Methodology for obtaining multiple outputs from single input is outlined.- Changes in the Channel Characteristics of Ganga River During Late Pleistocene - Holocene
Abstract Views :161 |
PDF Views:2
Authors
Affiliations
1 Department of Geology, Lucknow University, Lucknow 226 007, IN
2 Department of Geology, Delhi University, Delhi 110 007, IN
1 Department of Geology, Lucknow University, Lucknow 226 007, IN
2 Department of Geology, Delhi University, Delhi 110 007, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 36, No 1 (1990), Pagination: 67-73Abstract
Gangetic plain shows distinct geomorphic surfaces formed in response to the climatic and base-level changes related to the sea-level fluctuations during Quaternary. Within the major river valleys, a distinct geomorphic surface (T1) is developed, located about 5-10 m above the present-day flood plain (T0). Study of these surfaces in the Ganga River valley near Kanpur demonstrates that T1 -surface channel deposits assigned tentatively the date of the last interglacial (25-30 Ka) show meandering scars and coarser sediments (M1 = 1.9 φ) than the present-day channel sands. The T0-surface shows braided channels and finer sediments (M1 = 3.4 φ). The Ganga River has undergone a river metamorphosis from meandering to braided-type during the last 25,000 years, accompanied by decrease in grain-size, and probable decrease in water budget and increase in sediment load. All the major rivers of the Gangetic Plain, many of them braided-type today, show evidence of having been meandering rivers during last interglacial (25-Ka).Keywords
Geomorphology, Indo-Gangetic Plain, Ganga Pleistocene-Holocene, Quaternary Geology.- Removal of BOD and COD from Coal-Slurry Transport Wastewater
Abstract Views :148 |
PDF Views:0
Authors
Affiliations
1 Department of Chemical Engineering, University of Roorkee, Roorkee-247 667, IN
1 Department of Chemical Engineering, University of Roorkee, Roorkee-247 667, IN
Source
Journal of Surface Science and Technology, Vol 14, No 1-4 (1998), Pagination: 254-261Abstract
The transport of coal-slurry through pipelines with water as carrier is a viable proposition. During transportation, water gets contaminated as a result of leaching of inorganic and organic carbon from coal. The biochemical and'chemical oxygen demand (BOD and COD respectively) of the wastewater generated in the laboratory were 59.49 mg/l and 343.0 mg/l respectively. Both activated and commercial charcoals were found to be effective in reducing the BOD and COD to acceptable levels. Adsorption kinetics studies were performed and Lagergren model was found to fit the data. Effects of temperature, pH and contact time on adsorption behaviour were also studied.Keywords
BOD, COD, Commercial Charcoal, Wastewater Treatment, Adrorptibn.- Observations on Clinical Trial of Dexatopic Cream in Some Dermatoses
Abstract Views :198 |
PDF Views:0
Authors
Affiliations
1 Department of Skin & V.D., P.M.C.H., Patna, IN
1 Department of Skin & V.D., P.M.C.H., Patna, IN
Source
The Indian Practitioner, Vol 33, No 6 (1980), Pagination: 291-299Abstract
No Abstract.- A Study of Geological Setting of Northeastern Part of Chhattisgarh Basin, Mahanadi Graben and Bilaspur-Raigarh-Surguja Gneissic Belt from Gravity Anomalies
Abstract Views :209 |
PDF Views:2
Authors
Affiliations
1 Department of Geophysics, Banaras Hindu University, Varanasi - 221 005, IN
2 National Geophysical Research Institute, Hyderabad - 560 007, IN
1 Department of Geophysics, Banaras Hindu University, Varanasi - 221 005, IN
2 National Geophysical Research Institute, Hyderabad - 560 007, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 68, No 6 (2006), Pagination: 1093-1099Abstract
Gravity survey was conducted in an area of about 13000 sq km covering northeastern part of Chhattisgarh Basin, Bilaspur-Raigarh gneissic belt and the central part of Mahanadi graben. Analysis of gravity anomalies has helped in the demarcation of the boundary of Chhattisgarh Basin and Mahanadi graben as well as in the determination of extent of basins and associated structures. The thickness of sediments in Chhattisgarh Basin and Mahanadi graben is estimated to be 3 5 km and 2 5 km respectively above the crystalline basement. Two prominent gravity high closures in the vicinity of Bilaspur and Akaltra are new findings and are attributed to presence of high density metamorphic schist belt below the Chhattisgarh Basin.Keywords
Gravity Method, Graben, Schist, Gneissic Belt, Chhattisgarh Basin.- Snow Depth Estimation in the Indian Himalaya Using Multi-Channel Passive Microwave Radiometer
Abstract Views :190 |
PDF Views:84
Authors
Affiliations
1 Snow and Avalanche Study Establishment, Chandigarh 160 036, IN
2 National Institute of Technology, Kurukshetra 136 119, IN
3 Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
1 Snow and Avalanche Study Establishment, Chandigarh 160 036, IN
2 National Institute of Technology, Kurukshetra 136 119, IN
3 Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
Source
Current Science, Vol 108, No 5 (2015), Pagination: 942-953Abstract
Snow depth is an important parameter for avalanche forecast and hydrological studies. In the Himalaya, manual snow depth data collection is difficult due to remote and rugged terrain and the severe weather conditions. However, microwave-based sensors in various satellites have the capability to estimate snow depth in all weather conditions. In the present study, experiments were performed to establish an algorithm for snow depth estimation using ground-based passive microwave radiometer with 6.9, 18.7 and 37 GHz antenna frequencies at Dhundhi and Patseo, Himachal Pradesh, India. Different layers in the snowpack were identified and layer properties, i.e. thickness, density, moisture content, etc. were measured manually and using a snow fork. Brightness temperature (TB) of the entire snowpack and of the individual snow layers was measured using passive microwave radiometer. It was observed that TB of the snow is affected by various snow properties such as depth, density, physical temperature and wetness. A decrease in TB with increase in snow depth was observed for all types of snow. TB of the snowpack was observed higher at Dhundhi in comparison to Patseo. Based on the measured radiometer data, snow depth algorithms were developed for the Greater Himalaya and Pir-Panjal ranges. These algorithms were validated with ground measurements for snow depth at different observatory locations and a good agreement between the two was observed (absolute error: 7 to 39 cm; correlation: 0.95).Keywords
Brightness Temperature, Microwave Radiometer, Snow Depth Algorithm, Snowpack.Full Text
- Georeferenced Soil Information System: Assessment of Database
Abstract Views :216 |
PDF Views:106
Authors
T. Bhattacharyya
1,
D. Sarkar
1,
S. K. Ray
1,
P. Chandran
1,
D. K. Pal
2,
D. K. Mandal
1,
J. Prasad
1,
G. S. Sidhu
3,
K. M. Nair
4,
A. K. Sahoo
5,
T. H. Das
5,
R. S. Singh
6,
C. Mandal
1,
R. Srivastava
1,
T. K. Sen
1,
S. Chatterji
1,
N. G. Patil
1,
G. P. Obireddy
1,
S. K. Mahapatra
3,
K. S. Anil Kumar
4,
K. Das
5,
A. K. Singh
6,
S. K. Reza
7,
D. Dutta
5,
S. Srinivas
4,
P. Tiwary
1,
K. Karthikeyan
1,
M. V. Venugopalan
8,
K. Velmourougane
8,
A. Srivastava
9,
Mausumi Raychaudhuri
10,
D. K. Kundu
10,
K. G. Mandal
10,
G. Kar
10,
S. L. Durge
1,
G. K. Kamble
1,
M. S. Gaikwad
1,
A. M. Nimkar
1,
S. V. Bobade
1,
S. G. Anantwar
1,
S. Patil
1,
V. T. Sahu
1,
K. M. Gaikwad
1,
H. Bhondwe
1,
S. S. Dohtre
1,
S. Gharami
1,
S. G. Khapekar
1,
A. Koyal
4,
Sujatha
4,
B. M. N. Reddy
4,
P. Sreekumar
4,
D. P. Dutta
7,
L. Gogoi
7,
V. N. Parhad
1,
A. S. Halder
5,
R. Basu
5,
R. Singh
6,
B. L. Jat
6,
D. L. Oad
6,
N. R. Ola
6,
K. Wadhai
1,
M. Lokhande
1,
V. T. Dongare
1,
A. Hukare
1,
N. Bansod
1,
A. Kolhe
1,
J. Khuspure
1,
H. Kuchankar
1,
D. Balbuddhe
1,
S. Sheikh
1,
B. P. Sunitha
4,
B. Mohanty
3,
D. Hazarika
7,
S. Majumdar
5,
R. S. Garhwal
6,
A. Sahu
8,
S. Mahapatra
10,
S. Puspamitra
10,
A. Kumar
9,
N. Gautam
1,
B. A. Telpande
1,
A. M. Nimje
1,
C. Likhar
1,
S. Thakre
1,
A. P. Nagar
1
Affiliations
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1400-1419Abstract
Land-use planning is a decision-making process that facilitates the allocation of land to different uses that provide optimal and sustainable benefit. As land-use is shaped by society-nature interaction, in land-use planning different components/facets play a significant role involving soil, water, climate, animal (ruminant/ non-ruminant) and others, including forestry and the environment needed for survival of mankind. At times these components are moderated by human interference. Thus land-use planning being a dynamic phenomenon is not guided by a single factor, but by a complex system working simultaneously,which largely affects the sustainability. To address such issues a National Agricultural Innovation Project (NAIP) on 'Georeferenced soil information system for land-use planning and monitoring soil and land quality for agriculture' was undertaken to develop threshold values of land quality parameters for land-use planning through quantitative land evaluation and crop modelling for dominant cropping systems in major agro-ecological sub-regions (AESRs) representing rice-wheat cropping system in the Indo-Gangetic Plains (IGP) and deep-ischolar_mained crops in the black soil regions (BSR). To assess the impact of landuse change, threshold land quality indicator values are used. A modified AESR map for agricultural landuse planning is generated for effective land-use planning.Keywords
Agriculture, Georeferenced Soil Information System, Land-Use Planning, Spatial Database.Full Text
- Development of Soil and Terrain Digital Database for Major Food-Growing Regions of India for Resource Planning
Abstract Views :202 |
PDF Views:75
Authors
P. Chandran
1,
P. Tiwary
1,
T. Bhattacharyya
1,
C. Mandal
1,
J. Prasad
1,
S. K. Ray
1,
D. Sarkar
1,
D. K. Pal
2,
D. K. Mandal
1,
G. S. Sidhu
3,
K. M. Nair
4,
A. K. Sahoo
5,
T. H. Das
5,
R. S. Singh
6,
R. Srivastava
1,
T. K. Sen
1,
S. Chatterji
1,
N. G. Patil
1,
G. P. Obireddy
1,
S. K. Mahapatra
3,
K. S. Anil Kumar
4,
K. Das
5,
A. K. Singh
6,
S. K. Reza
7,
D. Dutta
5,
S. Srinivas
4,
K. Karthikeyan
1,
M. V. Venugopalan
8,
K. Velmourougane
8,
A. Srivastava
9,
Mausumi Raychaudhuri
10,
D. K. Kundu
10,
K. G. Mandal
10,
G. Kar
10,
J. A. Dijkshoorn
11,
N. H. Batjes
11,
P. S. Bindraban
11,
S. L. Durge
1,
G. K. Kamble
1,
M. S. Gaikwad
1,
A. M. Nimkar
1,
S. V. Bobade
1,
S. G. Anantwar
1,
S. V. Patil
1,
K. M. Gaikwad
1,
V. T. Sahu
1,
H. Bhondwe
1,
S. S. Dohtre
1,
S. Gharami
1,
S. G. Khapekar
1,
A. Koyal
4,
K. Sujatha
4,
B. M. N. Reddy
4,
P. Sreekumar
4,
D. P. Dutta
7,
L. Gogoi
7,
V. N. Parhad
1,
A. S. Halder
5,
R. Basu
5,
R. Singh
6,
B. L. Jat
6,
D. L. Oad
6,
N. R. Ola
6,
K. Wadhai
1,
M. Lokhande
1,
V. T. Dongare
1,
A. Hukare
1,
N. Bansod
1,
A. H. Kolhe
1,
J. Khuspure
1,
H. Kuchankar
1,
D. Balbuddhe
1,
S. Sheikh
1,
B. P. Sunitha
4,
B. Mohanty
3,
D. Hazarika
7,
S. Majumdar
5,
R. S. Garhwal
6,
A. Sahu
8,
S. Mahapatra
10,
S. Puspamitra
10,
A. Kumar
9,
N. Gautam
1,
B. A. Telpande
1,
A. M. Nimje
1,
C. Likhar
1,
S. Thakre
1
Affiliations
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi, 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
11 ISRIC, Wageningen, NL
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi, 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
11 ISRIC, Wageningen, NL
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1420-1430Abstract
Soil information system in SOTER (soil and terrain digital database) framework is developed for the Indo- Gangetic Plains (IGP) and black soil regions (BSR) of India with the help of information from 842 georeferenced soil profiles including morphological, physical and chemical properties of soils in addition to the site characteristics and climatic information. The database has information from 82 climatic stations that can be linked with the other datasets. The information from this organized database can be easily retrieved for use and is compatible with the global database. The database can be updated with recent and relevant data as and when they are available. The database has many applications such as inputs for refinement of agroecological regions and sub-regions, studies on carbon sequestration, land evaluation and land (crop) planning, soil erosion, soil quality, carbon and crop modelling and other climate change related research. This warehouse of information in a structured framework can be used as a data bank for posterity.Keywords
Black Soil Region, Database, Indo-Gangetic Plains, SOTER.Full Text
- Soil Information System: Use and Potentials in Humid and Semi-Arid Tropics
Abstract Views :189 |
PDF Views:88
Authors
T. Bhattacharyya
1,
D. Sarkar
1,
S. K. Ray
1,
P. Chandran
1,
D. K. Pal
1,
D. K. Mandal
1,
J. Prasad
1,
G. S. Sidhu
2,
K. M. Nair
3,
A. K. Sahoo
4,
T. H. Das
4,
R. S. Singh
5,
C. Mandal
1,
R. Srivastava
1,
T. K. Sen
1,
S. Chatterji
1,
N. G. Patil
1,
G. P. Obireddy
1,
S. K. Mahapatra
2,
K. S. Anil Kumar
3,
K. Das
4,
A. K. Singh
5,
S. K. Reza
6,
D. Dutta
7,
S. Srinivas
3,
P. Tiwary
1,
K. Karthikeyan
1,
M. V. Venugopalan
8,
K. Velmourougane
8,
A. Srivastava
9,
Mausumi Raychaudhuri
10,
D. K. Kundu
10,
K. G. Mandal
10,
G. Kar
10,
S. L. Durge
1,
G. K. Kamble
1,
M. S. Gaikwad
1,
A. M. Nimkar
1,
S. V. Bobade
1,
S. G. Anantwar
1,
S. Patil
1,
V. T. Sahu
1,
K. M. Gaikwad
1,
H. Bhondwe
1,
S. S. Dohtre
1,
S. Gharami
1,
S. G. Khapekar
1,
A. Koyal
3,
Sujatha
3,
B. M. N. Reddy
3,
P. Sreekumar
3,
D. P. Dutta
6,
L. Gogoi
6,
V. N. Parhad
1,
A. S. Halder
4,
R. Basu
4,
R. Singh
5,
B. L. Jat
5,
D. L. Oad
5,
N. R. Ola
5,
K. Wadhai
1,
M. Lokhande
1,
V. T. Dongare
1,
A. Hukare
1,
N. Bansod
1,
A. Kolhe
1,
J. Khuspure
1,
H. Kuchankar
1,
D. Balbuddhe
1,
S. Sheikh
1,
B. P. Sunitha
3,
B. Mohanty
2,
D. Hazarika
6,
S. Majumdar
4,
R. S. Garhwal
5,
A. Sahu
8,
S. Mahapatra
10,
S. Puspamitra
10,
A. Kumar
9,
N. Gautam
1,
B. A. Telpande
1,
A. M. Nimje
1,
C. Likhar
1,
S. Thakre
1
Affiliations
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1550-1564Abstract
The articles presented in this special section emanated from the researches of consortium members of the National Agricultural Innovative Project (NAIP, Component 4) of the Indian Council of Agricultural Research (ICAR), New Delhi. These researches have helped develop a soil information system (SIS). In view of the changing scenario all over the world, the need of the hour is to get assistance from a host of researchers specialized in soils, crops, geology, geography and information technology to make proper use of the datasets. Equipped with the essential knowledge of data storage and retrieval for management recommendations, these experts should be able to address the issues of land degradation, biodiversity, food security, climate change and ultimately arrive at an appropriate agricultural land-use planning. Moreover, as the natural resource information is an essential prerequisite for monitoring and predicting global environmental change with special reference to climate and land use options, the SIS needs to be a dynamic exercise to accommodate temporal datasets, so that subsequently it should result in the evolution of the soil information technology. The database developed through this NAIP would serve as an example of the usefulness of the Consortium and the research initiative of ICAR involving experts from different fields to find out the potentials of the soils of humid and semi-arid bioclimatic systems of the country.Keywords
Agricultural Land-Use Planning, Humid and Semi-Arid Tropics, Soil Information System, Soil Information Technology, Temporal Datasets.Full Text
- Pedotransfer Functions: A Tool for Estimating Hydraulic Properties of Two Major Soil Types of India
Abstract Views :194 |
PDF Views:68
Authors
P. Tiwary
1,
N. G. Patil
1,
T. Bhattacharyya
1,
P. Chandran
1,
S. K. Ray
1,
K. Karthikeyan
1,
D. Sarkar
1,
D. K. Pal
2,
J. Prasad
1,
C. Mandal
1,
D. K. Mandal
1,
G. S. Sidhu
3,
K. M. Nair
4,
A. K. Sahoo
5,
T. H. Das
5,
R. S. Singh
6,
R. Srivastava
1,
T. K. Sen
1,
S. Chatterji
1,
G. P. Obireddy
1,
S. K. Mahapatra
3,
K. S. Anil Kumar
4,
K. Das
5,
A. K. Singh
6,
S. K. Reza
7,
D. Dutta
5,
S. Srinivas
4,
M. V. Venugopalan
8,
K. Velmourougane
8,
A. Srivastava
9,
M. Raychaudhuri
10,
D. K. Kundu
10,
K. G. Mandal
10,
G. Kar
10,
S. L. Durge
1,
G. K. Kamble
1,
M. S. Gaikwad
1,
A. M. Nimkar
1,
S. V. Bobade
1,
S. G. Anantwar
1,
S. Patil
1,
K. M. Gaikwad
1,
V. T. Sahu
1,
H. Bhondwe
1,
S. S. Dohtre
1,
S. Gharami
1,
S. G. Khapekar
1,
A. Koyal
4,
K. Sujatha
4,
B. M. N. Reddy
4,
P. Sreekumar
4,
D. P. Dutta
7,
L. Gogoi
7,
V. N. Parhad
1,
A. S. Halder
5,
R. Basu
5,
R. Singh
6,
B. L. Jat
6,
D. L. Oad
6,
N. R. Ola
6,
K. Wadhai
1,
M. Lokhande
1,
V. T. Dongare
1,
A. Hukare
1,
N. Bansod
1,
A. H. Kolhe
1,
J. Khuspure
1,
H. Kuchankar
1,
D. Balbuddhe
1,
S. Sheikh
1,
B. P. Sunitha
4,
B. Mohanty
3,
D. Hazarika
7,
S. Majumdar
5,
R. S. Garhwal
6,
A. Sahu
8,
S. Mahapatra
10,
S. Puspamitra
10,
A. Kumar
9,
N. Gautam
1,
B. A. Telpande
1,
A. M. Nimje
1,
C. Likhar
1,
S. Thakre
1
Affiliations
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1431-1439Abstract
In recent years, georeferenced soil information system has gained significance in agricultural land-use planning and monitoring the changes in soil properties/ soil quality induced by land-use changes. The spatiotemporal information on saturated hydraulic conductivity (sHC) and soil water retention-release behaviour is essential for proper crop and land-use planning. The sHC greatly influences the drainage process and soil water retention-release behaviour, ultimately affecting the crop growth and yield. However, sHC and water retention are not measured in a routine soil survey and are generally estimated from easily measurable soil parameters through pedotransfer functions (PTFs). In the present study, PTFs for sHC and water retention were developed separately for the soils of two food-growing zones of India (the Indo-Gangetic Plains (IGP) and the black soil region (BSR)). For the IGP soils, sHC is affected by the increased subsoil bulk density due to intensive cultivation. In BSR, presence of Na+ and Mg++ ions affects the drainage and water retention of the soils. Therefore, these soil parameters were considered while developing the PTFs using stepwise regression technique in SPSS. The validation of PTFs was found to be satisfactory with low RMSE values and high model efficiency.Keywords
Model Efficiency, Pedotransfer Functions, Regression Analysis, Saturated Hydraulic Conductivity, Water Retention.Full Text
- Natural Resources of the Indo-Gangetic Plains: A Land-Use Planning Perspective
Abstract Views :152 |
PDF Views:77
Authors
N. G. Patil
1,
P. Tiwary
1,
T. Bhattacharyya
1,
P. Chandran
1,
D. Sarkar
1,
D. K. Pal
2,
D. K. Mandal
1,
J. Prasad
1,
G. S. Sidhu
3,
K. M. Nair
4,
A. K. Sahoo
5,
T. H. Das
5,
R. S. Singh
6,
C. Mandal
1,
R. Srivastava
1,
T. K. Sen
1,
S. Chatterji
1,
S. K. Ray
1,
G. P. Obireddy
1,
S. K. Mahapatra
3,
K. S. Anil Kumar
4,
K. Das
5,
A. K. Singh
6,
S. K. Reza
7,
D. Dutta
5,
S. Srinivas
4,
K. Karthikeyan
4,
M. V. Venugopalan
8,
K. Velmourougane
8,
A. Srivastava
9,
M. Raychaudhuri
10,
D. K. Kundu
11,
K. G. Mandal
10,
G. Kar
10,
S. L. Durge
1,
G. K. Kamble
1,
M. S. Gaikwad
1,
A. M. Nimkar
1,
S. V. Bobade
1,
S. G. Anantwar
1,
S. Patil
1,
K. M. Gaikwad
1,
V. T. Sahu
1,
H. Bhondwe
1,
S. S. Dohtre
1,
S. Gharami
1,
S. G. Khapekar
1,
A. Koyal
4,
K. Sujatha
4,
B. M. N. Reddy
4,
P. Sreekumar
4,
D. P. Dutta
7,
L. Gogoi
7,
V. N. Parhad
1,
A. S. Halder
5,
R. Basu
5,
R. Singh
6,
B. L. Jat
6,
D. L. Oad
6,
N. R. Ola
6,
K. Wadhai
1,
M. Lokhande
1,
V. T. Dongare
1,
A. Hukare
1,
N. Bansod
1,
A. H. Kolhe
1,
J. Khuspure
1,
H. Kuchankar
1,
D. Balbuddhe
1,
S. Sheikh
1,
B. P. Sunitha
4,
B. Mohanty
3,
D. Hazarika
7,
S. Majumdar
5,
R. S. Garhwal
6,
A. Sahu
8,
S. Mahapatra
10,
S. Puspamitra
10,
A. Kumar
9,
N. Gautam
1,
B. A. Telpande
1,
A. M. Nimje
1,
C. Likhar
1,
S. Thakre
1
Affiliations
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 440 010, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
11 Directorate of Water Management, Bhubaneswar 751 023
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 440 010, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
11 Directorate of Water Management, Bhubaneswar 751 023
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1537-1549Abstract
Current status of land/soil resources of the Indo- Gangetic Plains (IGP) is analysed to highlight the issues that need to be tackled in near future for sustained agricultural productivity. There are intraregional variations in soil properties, cropping systems; status of land usage, groundwater utilization and irrigation development which vary across the subregions besides demographies. Framework for land use policy is suggested that includes acquisition of farm-level data, detailing capability of each unit to support a chosen land use, assess infrastructural support required to meet the projected challenges and finally develop skilled manpower to effectively monitor the dynamics of land use changes.Keywords
Agricultural Productivity, Land Use Planning, Natural Resources, Soil Properties and Soil Management.Full Text
- Soil Physical Quality of the Indo-Gangetic Plains and Black Soil Region
Abstract Views :244 |
PDF Views:116
Authors
Mausumi Raychaudhuri
1,
D. K. Kundu
1,
Ashwani Kumar
1,
K. G. Mandal
1,
S. Raychaudhuri
1,
G. Kar
1,
T. Bhattacharyya
2,
D. Sarkar
3,
D. K. Pal
4,
D. K. Mandal
3,
J. Prasad
3,
G. S. Sidhu
5,
K. M. Nair
6,
A. K. Sahoo
7,
T. H. Das
7,
R. S. Singh
8,
C. Mandal
3,
R. Srivastava
3,
T. K. Sen
3,
S. Chatterji
3,
P. Chandran
3,
S. K. Ray
3,
N. G. Patil
3,
G. P. Obireddy
3,
S. K. Mahapatra
5,
K. S. Anil Kumar
6,
K. Das
5,
A. K. Singh
8,
S. K. Reza
9,
D. Dutta
7,
S. Srinivas
6,
P. Tiwary
3,
K. Karthikeyan
3,
M. V. Venugopalan
9,
K. Velmourougane
9,
A. Srivastava
10,
S. L. Durge
3,
S. Puspamitra
1,
S. Mahapatra
1,
G. K. Kamble
3,
M. S. Gaikwad
3,
A. M. Nimkar
3,
S. V. Bobade
3,
S. G. Anantwar
3,
S. Patil
3,
K. M. Gaikwad
3,
V. T. Sahu
3,
H. Bhondwe
3,
S. S. Dohtre
3,
S. Gharami
3,
S. G. Khapekar
3,
A. Koyal
5,
Sujatha
5,
B. M. N. Reddy
5,
P. Sreekumar
5,
D. P. Dutta
9,
L. Gogoi
9,
V. N. Parhad
1,
A. S. Halder
7,
R. Basu
7,
R. Singh
7,
B. L. Jat
7,
D. L. Oad
7,
N. R. Ola
7,
K. Wadhai
3,
M. Lokhande
3,
V. T. Dongare
3,
A. Hukare
3,
N. Bansod
3,
A. Kolhe
3,
J. Khuspure
3,
H. Kuchankar
3,
D. Balbuddhe
3,
S. Sheikh
3,
B. P. Sunitha
6,
B. Mohanty
5,
D. Hazarika
9,
S. Majumdar
7,
R. S. Garhwal
8,
A. Sahu
11,
A. Kumar
10,
N. Gautam
3,
B. A. Telpande
3,
A. M. Nimje
3,
C. Likhar
3,
S. Thakre
3
Affiliations
1 Directorate of Water Management, Bhubaneswar, Odisha 751 023, IN
2 2Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
4 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
8 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
9 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
10 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
11 Central Institute for Cotton Research, Nagpur 440 010, IN
1 Directorate of Water Management, Bhubaneswar, Odisha 751 023, IN
2 2Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
4 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
8 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
9 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
10 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
11 Central Institute for Cotton Research, Nagpur 440 010, IN
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1440-1451Abstract
Understanding the physical quality of soil that influences its hydraulic behaviour helps in formulating appropriate water management strategies for sustainable crop production. Saturated hydraulic conductivity (Ks) is a key factor governing the hydraulic properties of soils. Ks can be estimated through various techniques. In the present article we have developed and validated the regression models to predict Ks of the soils of the Indo- Gangetic Plains (IGP) and the black soil regions (BSR) under different bioclimatic systems. While particle size distribution was found to be a key factor to predict Ks of the BSR soils, organic carbon was found useful for the IGP soils. Moreover, the models for Ks of both soils were strengthened by putting in CaCO3 and exchangeable sodium percentage content. It seems there is ample scope to study the interaction process for revising Ks to desired levels through management practices in these two important food-growing zones. An index of soil physical quality, derived from the inflection points of the soil moisture characteristic curves could well explain the impact of management practices on soil physical quality.Keywords
Index, Management, Saturated Hydraulic Conductivity, Soil Physical Quality.Full Text
- Impacts of Bioclimates, Cropping Systems, Land Use and Management on the Cultural Microbial Population in Black Soil Regions of India
Abstract Views :197 |
PDF Views:55
Authors
K. Velmourougane
1,
M. V. Venugopalan
1,
T. Bhattacharyya
2,
D. Sarkar
2,
S. K. Ray
2,
P. Chandran
2,
D. K. Pal
3,
D. K. Mandal
2,
J. Prasad
2,
G. S. Sidhu
4,
K. M. Nair
5,
A. K. Sahoo
6,
K. S. Anil Kumar
5,
A. Srivastava
7,
T. H. Das
6,
R. S. Singh
8,
C. Mandal
2,
R. Srivastava
2,
T. K. Sen
2,
S. Chatterji
2,
N. G. Patil
2,
G. P. Obireddy
2,
S. K. Mahapatra
4,
K. Das
6,
S. K. Singh
6,
S. K. Reza
9,
D. Dutta
6,
S. Srinivas
5,
P. Tiwary
2,
K. Karthikeyan
2,
Mausumi Raychaudhuri
10,
D. K. Kundu
10,
K. G. Mandal
10,
G. Kar
10,
S. L. Durge
2,
G. K. Kamble
2,
M. S. Gaikwad
2,
A. M. Nimkar
2,
S. V. Bobade
2,
S. G. Anantwar
2,
S. Patil
2,
M. S. Gaikwad
2,
V. T. Sahu
2,
H. Bhondwe
2,
S. S. Dohtre
2,
S. Gharami
2,
S. G. Khapekar
2,
A. Koyal
5,
Sujatha
5,
B. M. N. Reddy
5,
P. Sreekumar
5,
D. P. Dutta
9,
L. Gogoi
9,
V. N. Parhad
2,
A. S. Halder
6,
R. Basu
6,
R. Singh
8,
B. L. Jat
8,
D. L. Oad
8,
N. R. Ola
8,
A. Sahu
2,
K. Wadhai
2,
M. Lokhande
2,
V. T. Dongare
2,
A. Hukare
2,
N. Bansod
2,
A. Kolhe
2,
J. Khuspure
2,
H. Kuchankar
2,
D. Balbuddhe
2,
S. Sheikh
2,
B. P. Sunitha
5,
B. Mohanty
4,
D. Hazarika
9,
S. Majumdar
6,
R. S. Garhwal
8,
S. Mahapatra
10,
S. Puspamitra
10,
A. Kumar
7,
N. Gautam
2,
B. A. Telpande
2,
A. M. Nimje
2,
C. Likhar
2,
S. Thakre
2
Affiliations
1 Central Institute for Cotton Research, Nagpur 440 010, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
7 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
8 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
9 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
1 Central Institute for Cotton Research, Nagpur 440 010, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
7 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
8 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
9 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1452-1463Abstract
The present study documents the biological properties of the black soil region (BSR) of India in terms of culturable microbial population. Besides surface microbial population, subsurface population of individual soil horizons is described to improve the soil information system. An effort has been made to study the depth-wise distribution and factors (bioclimates, cropping systems, land use, management practices and soil properties) influencing the microbial population in the soils of the selected benchmark spots representing different agro-ecological sub-regions of BSR. The microbial population declined with depth and maximum activity was recorded within 0-30 cm soil depth. The average microbial population (log10 cfu g-1) in different bioclimates is in decreasing order of SHm > SHd > Sad > arid. Within cropping systems, legumebased system recorded higher microbial population (6.12 log10 cfu g-1) followed by cereal-based system (6.09 log10 cfu g-1). The mean microbial population in different cropping systems in decreasing order is legume > cereal > sugarcane > cotton. Significantly higher (P < 0.05) microbial population has been recorded in high management (6.20 log10 cfu g-1) and irrigated agrosystems (6.33 log10 cfu g-1) compared to low management (6.12 log10 cfu g-1) and rainfed agrosystems (6.17 log10 cfu g-1). The pooled analysis of data inclusive of bioclimates, cropping systems, land use, management practices, and edaphic factors indicates that microbial population is positively influenced by clay, fine clay, water content, electrical conductivity, organic carbon, cation exchange capacity and base saturation, whereas bulk density, pH, calcium carbonate and exchangeable magnesium percentage have a negative effect on the microbial population.Keywords
Agro-Ecological Sub-Regions, Benchmark Spots, Black Soil Regions, Principal Component Analysis, Soil Microbial Population.Full Text
- Revisiting Agro-Ecological Sub-Regions of India - A Case Study of Two Major Food Production Zones
Abstract Views :171 |
PDF Views:82
Authors
C. Mandal
1,
D. K. Mandal
1,
T. Bhattacharyya
2,
D. Sarkar
2,
D. K. Pal
2,
Jagdish Prasad
2,
G. S. Sidhu
3,
K. M. Nair
4,
A. K. Sahoo
5,
T. H. Das
6,
R. S. Singh
7,
R. Srivastava
2,
T. K. Sen
2,
S. Chatterji
2,
P. Chandran
2,
S. K. Ray
2,
N. G. Patil
2,
G. P. Obireddy
2,
S. K. Mahapatra
6,
K. S. Anil Kumar
4,
K. Das
6,
A. K. Singh
7,
S. K. Reza
8,
D. Dutta
6,
S. Srinivas
4,
P. Tiwary
2,
K. Karthikeyan
2,
M. V. Venugopalan
9,
A. Srivastava
10,
Mausumi Raychaudhuri
11,
D. K. Kundu
11,
K. G. Mandal
11,
G. Kar
11,
S. L. Durge
2,
G. K. Kamble
2,
M. S. Gaikwad
2,
A. M. Nimkar
2,
S. V. Bobade
2,
S. G. Anantwar
2,
S. Patil
2,
K. M. Gaikwad
2,
A. M. Nimkar
2,
S. V. Bobade
2,
S. G. Anantwar
2,
S. Patil
2,
K. M. Gaikwad
2,
V. T. Sahu
2,
H. Bhondwe
2,
S. S. Dohtre
2,
S. Gharami
2,
S. G. Khapekar
2,
A. Koyal
4,
Sujatha
4,
B. M. N. Reddy
4,
P. Sreekumar
4,
D. P. Dutta
8,
L. Gogoi
12,
V. N. Parhad
2,
A. S. Halder
6,
R. Basu
6,
R. Singh
7,
B. L. Jat
13,
D. L. Oad
7,
N. R. Ola
7,
K. Wadhai
2,
M. Lokhande
2,
V. T. Dongare
2,
A. Hukare
2,
N. Bansod
2,
A. Kolhe
2,
J. Khuspure
2,
H. Kuchankar
2,
D. Balbuddhe
2,
S. Sheikh
2,
B. P. Sunitha
4,
B. Mohanty
3,
D. Hazarika
8,
S. Majumdar
6,
R. S. Garhwal
7,
A. Sahu
9,
S. Mahapatra
11,
S. Puspamitra
11,
A. Kumar
10,
N. Gautam
2,
B. A. Telpande
2,
A. M. Nimje
2,
C. Likhar
2,
S. Thakre
2
Affiliations
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 03, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
8 National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, IN
9 Central Institute for Cotton Research, Nagpur 440 010, IN
10 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
11 Directorate of Water Management, Bhubaneswar 751 023, IN
12 National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004
13 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 03, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
8 National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, IN
9 Central Institute for Cotton Research, Nagpur 440 010, IN
10 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
11 Directorate of Water Management, Bhubaneswar 751 023, IN
12 National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004
13 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1519-1536Abstract
The sustenance of food and nutritional security are the major challenges of the 21st century. The domestic food production needs to increase per annum at the rate of 2% for cereals and 0.6% for oilseeds and pulses to meet the demand by 2030. The Indo-Gangetic Plains (IGP) and the black soil regions (BSR) are the two major food production zones of the country. Since irrigation potential is limited and expansion of irrigated area is tardy, rainfed agriculture holds promise to satisfy future food needs. Frontline demonstrations of these two regions have shown that there is a large gap at the farmers' and achievable levels of yields. This gap can be filled by adopting scientific approach of managing the natural resources. There is tremendous pressure of biotic and abiotic stresses hindering the crop production and that warrants for a systematic appraisal of natural resources. The National Bureau of Soil Survey and Land Use Planning (NBSS&LUP) under the Indian Council of Agricultural Research (ICAR) divided the country into 60 agro-ecological sub-regions (AESRs) in 1994 by superimposing maps on natural resources like soils, climate and length of growing period (LGP) for crops and other associated parameters. With the passage of nearly two decades and the advent of modern facilities of database management and improved knowledge base on natural resources, a need was felt to revise the existing AESR map to reach near the ground reality of crop performance. The new database stored in soil and terrain digital database (SOTER) has helped in modifying the AESR delineations of the BSR (76.4 m ha) and the IGP (52.01 m ha). The estimated available water content, saturated hydraulic conductivity and use of pedo-transfer functions in assessing the drainage conditions and soil quality have helped in computing with improved precision the LGP, and revise the earlier AESRs in BSR and IGP areas. This innovative exercise will be useful for the future AESR-based agricultural land use planning.Keywords
Agro-Ecological Sub-Regions, Food Production Zones, Land-Use Planning, Length of Growing Period.Full Text
- InfoCrop-Cotton Simulation Model - Its Application in Land Quality Assessment for Cotton Cultivation
Abstract Views :191 |
PDF Views:71
Authors
M. V. Venugopalan
1,
P. Tiwary
2,
S. K. Ray
2,
S. Chatterji
2,
K. Velmourougane
1,
T. Bhattacharyya
2,
K. K. Bandhopadhyay
3,
D. Sarkar
2,
P. Chandran
2,
D. K. Pal
4,
D. K. Mandal
2,
J. Prasad
2,
G. S. Sidhu
5,
K. M. Nair
6,
A. K. Sahoo
7,
K. S. Anil Kumar
6,
A. Srivastava
8,
T. H. Das
7,
R. S. Singh
9,
C. Mandal
2,
R. Srivastava
2,
T. K. Sen
2,
N. G. Patil
2,
G. P. Obireddy
2,
S. K. Mahapatra
5,
K. Das
7,
S. K. Singh
7,
S. K. Reza
10,
D. Dutta
7,
S. Srinivas
6,
K. Karthikeyan
2,
Mausumi Raychaudhuri
11,
D. K. Kundu
11,
K. K. Mandal
11,
G. Kar
11,
S. L. Durge
2,
G. K. Kamble
2,
M. S. Gaikwad
2,
A. M. Nimkar
2,
S. V. Bobade
2,
S. G. Anantwar
2,
S. Patil
12,
M. S. Gaikwad
2,
V. T. Sahu
2,
H. Bhondwe
2,
S. S. Dohtre
2,
S. Gharami
2,
S. G. Khapekar
2,
A. Koyal
6,
Sujatha
6,
B. M. N. Reddy
6,
P. Sreekumar
6,
D. P. Dutta
10,
L. Gogoi
10,
V. N. Parhad
2,
A. S. Halder
13,
R. Basu
7,
R. Singh
9,
B. L. Jat
9,
D. L. Oad
9,
N. R. Ola
9,
A. Sahu
1,
K. Wadhai
2,
M. Lokhande
2,
V. T. Dongare
2,
A. Hukare
2,
N. Bansod
2,
A. Kolhe
2,
J. Khuspure
2,
H. Kuchankar
2,
D. Balbuddhe
2,
S. Sheikh
2,
B. P. Sunitha
6,
B. Mohanty
5,
D. Hazarika
10,
S. Majumdar
7,
R. S. Garhwal
9,
S. Mahapatra
11,
S. Puspamitra
11,
A. Kumar
8,
N. Gautam
2,
B. A. Telpande
2,
A. M. Nimje
2,
C. Likhar
2,
S. Thakre
2
Affiliations
1 Central Institute for Cotton Research, Nagpur 440 010, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 Indian Agricultural Research Institute, New Delhi 110 012, IN
4 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
8 National Bureau of Agriculturally Important Microorganisms, Mau 275 103, IN
9 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
10 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
11 Directorate of Water Management, Bhubaneswar 751 023, IN
12 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033
13 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091
1 Central Institute for Cotton Research, Nagpur 440 010, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 Indian Agricultural Research Institute, New Delhi 110 012, IN
4 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
8 National Bureau of Agriculturally Important Microorganisms, Mau 275 103, IN
9 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
10 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
11 Directorate of Water Management, Bhubaneswar 751 023, IN
12 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033
13 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1512-1518Abstract
Crop simulation models have emerged as powerful tools for estimating yield gaps, forecasting production of agricultural crops and analysing the impact of climate change. In this study, the genetic coefficients for Bt hybrids established from field experiments were used in the InfoCrop-cotton model, which was calibrated and validated earlier to simulate the cotton production under different agro-climatic conditions. The model simulated results for Bt hybrids were satisfactory with an R2 value of 0.55 (n = 22), d value of 0.85 and a ischolar_main mean square error of 277 kg ha-1, which was 11.2% of the mean observed. Relative yield index (RYI) defined as the ratio between simulated rainfed (water-limited) yield to potential yield, was identified as a robust land quality index for rainfed cotton. RYI was derived for 16 representative benchmark (BM) locations of the black soil region from long-term simulation results of InfoCrop-cotton model (based on 11-40 years of weather data). The model could satisfactorily capture subtle differences in soil variables and weather patterns prevalent in the BM locations spread over 16 agro-ecological sub-regions (AESRs) resulting in a wide range of mean simulated rainfed cotton yields (482-4393 kg ha-1). The BM soils were ranked for their suitability for cotton cultivation based on RYI. The RYI of black soils (vertisols) ranged from 0.07 in Nimone to 0.80 in Panjari representing AESR (6.1) and AESR (10.2) respectively, suggesting that Panjri soils are better suited for rainfed cotton.Keywords
Bt Cotton, Land Quality, Relative Yield Index, Simulation Model.Full Text
- Soil and Land Quality Indicators of the Indo-Gangetic Plains of India
Abstract Views :205 |
PDF Views:74
Authors
S. K. Ray
1,
T. Bhattacharyya
1,
K. R. Reddy
2,
D. K. Pal
3,
P. Chandran
1,
P. Tiwary
1,
D. K. Mandal
1,
C. Mandal
1,
J. Prasad
1,
D. Sarkar
1,
M. V. Venugopalan
4,
K. Velmourougane
4,
G. S. Sidhu
5,
K. M. Nair
6,
A. K. Sahoo
7,
T. H. Das
7,
R. S. Singh
8,
R. Srivastava
1,
T. K. Sen
1,
S. Chatterji
1,
N. G. Patil
1,
G. P. Obireddy
1,
S. K. Mahapatra
5,
K. S. Anil Kumar
6,
K. Das
7,
S. K. Reza
9,
D. Dutta
9,
S. Srinivas
6,
K. Karthikeyan
1,
A. Srivastava
10,
M. Raychaudhuri
11,
D. K. Kundu
11,
V. T. Dongare
1,
D. Balbuddhe
1,
N. G. Bansod
1,
K. Wadhai
1,
M. Lokhande
1,
A. Kolhe
1,
H. Kuchankar
1,
S. L. Durge
1,
G. K. Kamble
1,
M. S. Gaikwad
1,
A. M. Nimkar
1,
S. V. Bobade
1,
S. G. Anantwar
1,
S. Patil
1,
V. T. Sahu
1,
S. Sheikh
1,
D. Dasgupta
1,
B. A. Telpande
1,
A. M. Nimje
1,
C. Likhar
1,
S. Thakre
1,
K. G. Mandal
10,
G. Kar
10,
K. M. Gaikwad
1,
H. Bhondwe
1,
S. S. Dohtre
1,
S. Gharami
1,
S. G. Khapekar
1,
A. Koyal
4,
Sujatha
4,
B. M. N. Reddy
4,
P. Sreekumar
4,
D. P. Dutta
7,
L. Gogoi
7,
V. N. Parhad
1,
A. S. Halder
5,
R. Basu
5,
R. Singh
6,
B. L. Jat
6,
D. L. Oad
6,
N. R. Ola
6,
A. Hukare
1,
J. Khuspure
1,
B. P. Sunitha
4,
B. Mohanty
3,
D. Hazarika
7,
S. Majumdar
5,
R. S. Garhwal
6,
A. Sahu
8,
S. Mahapatra
11,
S. Puspamitra
11,
A. Kumar
9,
N. Gautam
1
Affiliations
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 Institute of Food and Agricultural Sciences, Soil and Water Science Department, University of Florida, Gainesville, Florida, US
3 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
4 Central Institute for Cotton Research, Nagpur 440 010, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
8 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
9 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
10 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
11 Directorate of Water Management, Bhubaneswar 751 023, IN
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 Institute of Food and Agricultural Sciences, Soil and Water Science Department, University of Florida, Gainesville, Florida, US
3 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
4 Central Institute for Cotton Research, Nagpur 440 010, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
8 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
9 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
10 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
11 Directorate of Water Management, Bhubaneswar 751 023, IN
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1470-1486Abstract
Sustaining soil and land quality under intensive land use and fast economic development is a major challenge for improving crop productivity in the developing world. Assessment of soil and land quality indicators is necessary to evaluate the degradation status and changing trends of different land use and management interventions. During the last four decades, the Indo-Gangetic Plains (IGP) which covers an area of about 52.01 m ha has been the major food producing region of the country. However at present, the yield of crops in IGP has stagnated; one of the major reasons being deterioration of soil and land quality. The present article deals with the estimation of soil and land quality indicators of IGP, so that, proper soil and land management measures can be taken up to restore and improve the soil health. Use of principal component analysis is detailed to derive the minimum dataset or indicators for soil quality. The article also describes spatial distribution of soil and land quality with respect to major crops of IGP.Keywords
Land Quality Index, Principal Component Analysis, Soil Quality and Health.Full Text
- Land Evaluation for Major Crops in the Indo-Gangetic Plains and Black Soil Regions Using Fuzzy Model
Abstract Views :192 |
PDF Views:55
Authors
S. Chatterji
1,
P. Tiwary
1,
T. K. Sen
1,
J. Prasad
1,
T. Bhattacharyya
1,
D. Sarkar
1,
D. K. Pal
2,
D. K. Mandal
1,
G. S. Sidhu
3,
K. M. Nair
4,
A. K. Sahoo
5,
T. H. Das
5,
R. S. Singh
6,
C. Mandal
1,
R. Srivastava
1,
P. Chandran
1,
S. K. Ray
1,
N. G. Patil
1,
G. P. Obireddy
1,
S. K. Mahapatra
3,
S. Srinivas
4,
K. Das
5,
A. K. Singh
6,
S. K. Reza
7,
D. Dutta
5,
K. S. Anil Kumar
4,
K. Karthikeyan
1,
M. V. Venugopalan
8,
K. Velmourougane
8,
A. Srivastava
9,
Mausumi Raychaudhuri
10,
D. K. Kundu
10,
K. G. Mandal
10,
G. Kar
10,
S. L. Durge
1,
G. K. Kamble
1,
M. S. Gaikwad
1,
A. M. Nimkar
1,
S. V. Bobade
1,
S. G. Anantwar
1,
S. Patil
1,
K. M. Gaikwad
1,
V. T. Sahu
1,
H. Bhondwe
1,
S. S. Dohtre
1,
S. Gharami
1,
S. G. Khapekar
1,
A. Koyal
4,
Sujatha
4,
B. M. N. Reddy
4,
P. Sreekumar
4,
D. P. Dutta
4,
L. Gogoi
7,
V. N. Parhad
1,
A. S. Halder
5,
R. Basu
5,
R. Singh
6,
B. L. Jat
6,
D. L. Oad
6,
N. R. Ola
6,
K. Wadhai
1,
M. Lokhande
1,
V. T. Dongare
1,
A. Hukare
1,
N. Bansod
1,
A. Kolhe
1,
J. Khuspure
1,
H. Kuchankar
1,
D. Balbuddhe
1,
S. Sheikh
1,
B. P. Sunitha
4,
B. Mohanty
3,
D. Hazarika
7,
S. Majumdar
5,
R. S. Garhwal
6,
A. Sahu
8,
S. Mahapatra
10,
S. Puspamitra
10,
A. Kumar
9,
N. Gautam
1,
B. A. Telpande
1,
A. M. Nimje
1,
C. Likhar
1,
S. Thakre
1
Affiliations
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
3 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1502-1511Abstract
Land evaluation is carried out to assess the suitability of land for a specific use. Land evaluation procedures focus increasingly on the use of quantitative procedures to enhance the qualitative interpretation of land resource surveys. Conventional Boolean retrieval of soil survey data and logical models for assessing land suitability, treat both spatial units and attribute value ranges as exactly specifiable quantities. They ignore the continuous nature of soil and landscape variation and uncertainties in measurement, which may result in the failure to correctly classify sites that just fail to match strictly defined requirements. The objective of this article is to apply fuzzy model to land suitability evaluation for major crops in the 15 benchmark sites of the Indo- Gangetic Plains (IGP) and 17 benchmark sites of the black soil regions (BSR). Minimum datasets of land characteristics considered relevant to rice and wheat in the IGP and cotton and soybean in the BSR were identified to enhance pragmatic value of land evaluation. The use of fuzzy model is intuitive, robust and helpful for land suitability evaluation and classification, especially in applications in which subtle differences in land characteristics are of a major interest, such as development of threshold values of land characteristics.Keywords
Benchmark Sites, Fuzzy Model, Land Evaluation, Minimum Datasets.Full Text
- Impact of Management Levels and Land-Use Changes on Soil Properties in Rice-Wheat Cropping System of the Indo-Gangetic Plains
Abstract Views :193 |
PDF Views:61
Authors
G. S. Sidhu
1,
T. Bhattacharyya
2,
D. Sarkar
2,
S. K. Ray
2,
P. Chandran
2,
D. K. Pal
3,
D. K. Mandal
2,
J. Prasad
2,
K. M. Nair
4,
A. K. Sahoo
5,
T. H. Das
5,
R. S. Singh
6,
C. Mandal
2,
R. Srivastava
2,
T. K. Sen
2,
S. Chatterji
2,
N. G. Patil
2,
G. P. Obireddy
2,
S. K. Mahapatra
3,
K. S. Anil Kumar
4,
K. Das
5,
A. K. Singh
6,
S. K. Reza
7,
D. Dutta
5,
S. Srinivas
4,
P. Tiwary
2,
K. Karthikeyan
2,
M. V. Venugopalan
8,
K. Velmourougane
8,
A. Srivastava
9,
Mausumi Raychaudhuri
10,
D. K. Kundu
10,
K. G. Mandal
10,
G. Kar
10,
S. L. Durge
2,
G. K. Kamble
2,
M. S. Gaikwad
2,
A. M. Nimkar
2,
S. V. Bobade
2,
S. G. Anantwar
2,
S. Patil
2,
V. T. Sahu
2,
K. M. Gaikwad
2,
H. Bhondwe
2,
S. S. Dohtre
2,
S. Gharami
2,
S. G. Khapekar
2,
A. Koyal
4,
Sujatha
4,
B. M. N. Reddy
4,
P. Sreekumar
4,
D. P. Dutta
7,
L. Gogoi
7,
V. N. Parhad
2,
A. S. Halder
5,
R. Basu
5,
R. Singh
6,
B. L. Jat
6,
D. L. Oad
6,
N. R. Ola
6,
K. Wadhai
2,
M. Lokhande
2,
V. T. Dongare
2,
A. Hukare
2,
N. Bansod
2,
A. Kolhe
2,
J. Khuspure
2,
H. Kuchankar
2,
D. Balbuddhe
2,
S. Sheikh
2,
B. P. Sunitha
4,
B. Mohanty
3,
D. Hazarika
7,
S. Majumdar
5,
R. S. Garhwal
6,
A. Sahu
8,
S. Mahapatra
10,
S. Puspamitra
10,
A. Kumar
9,
N. Gautam
2,
B. A. Telpande
2,
A. M. Nimje
2,
C. Likhar
2,
S. Thakre
2
Affiliations
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
1 Regional Centre, National Bureau of Soil Survey and Land Use Planning, New Delhi 110 012, IN
2 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Nagpur 440 033, IN
3 International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, IN
4 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Bangalore 560 024, IN
5 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Kolkata 700 091, IN
6 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Udaipur 313 001, IN
7 Regional Centre, National Bureau of Soil Survey and Land Use Planning, Jorhat 785 004, IN
8 Central Institute for Cotton Research, Nagpur 440 010, IN
9 National Bureau of Agriculturally Important Microorganisms, Mau 275 101, IN
10 Directorate of Water Management, Bhubaneswar 751 023, IN
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1487-1501Abstract
Five benchmark soils, namely Fatehpur (Punjab) and Haldi (Uttarakhand) non-sodic soils, Zarifa Viran (Haryana), Sakit and Itwa sodic soils (Uttar Pradesh) representing Trans, Upper, Middle and Central Indo- Gangetic Plains (IGP) were revisited for studying the morphological, physical and chemical properties of soils at low and high management levels to monitor changes in soil properties due to the impact of landuse as well as management levels. The results indicate an increase in bulk density (BD) below the plough layer, and build up of organic carbon (OC) and decline in pH in surface layers of Zarifa Viran, Sakit and Itwa sodic soils under high management. The concentration of carbonates and bicarbonates in sodic soils decreased due to adaptation of rice-wheat system. The build-up of OC and decrease of pH in surface soils under rice- wheat system enhanced the soil health. Increase in BD in subsurface soils, however, is a cause of concern for sustaining rice-wheat cropping system. Soil management interventions such as tillage, conservation agriculture and alternate cropping system have been suggested for improved soil health and productivity.Keywords
Benchmark Soil, Bulk Density, Land-Use Changes, Rice–Wheat System, Soil Properties.Full Text
- Effect of Rhizobacteria on Phytophthora meadii, Fusarium oxysporum f. sp. Vanillae and Colletotrichum vanillae Infecting Vanilla
Abstract Views :207 |
PDF Views:95
Authors
R. Suseela Bhai
1,
A. Kumar
1
Affiliations
1 Indian Institute of Spices Research, Marikunnu P.O., Calicut - 673012, Kerala, IN
1 Indian Institute of Spices Research, Marikunnu P.O., Calicut - 673012, Kerala, IN
Source
Journal of Biological Control, Vol 22, No 1 (2008), Pagination: 33-41Abstract
Rhizobacterial isolates, Pseudomonas fluorescens (5 isolates), Enterobacter agglomerans (one isolate) and Bacillus spp. (14 isolates), were screened for growth promotion and against rot pathogens of vanilla such as Phytophthora mcadii McRae, Fusarium oxysporum f.sp. vanillae and Colletotrichum vanillae Massae. All the rhizobacterial isolates tested except Bacillus polymixa (isolate IISR909) and one Bacillus sp. (isolate IISR915) were inhibitory to P. meadii to an extent of 74 percent, while F. oxysporum was highly inhibited (91.0%) by Bacillus polymixa (isolate IISR909) in vitro. Bacillus sp. (IISR153) was highly inhibitory to C. vanillae with an inhibition of 77.8%. The maximum growth promotion in terms of shoot length (27cm) in vanilla was observed in plants treated with P. fluorescens (isolate IISR13). Different combination of isolates found promising as growth promoting such as P. fluorescens isolates (I1SR6, IISR853) B. lentus (11SR906) B. polymixa (IISR909) E. agglomerans (I1SR912), Bacillus spp. (isolates IISR910, 11SR913, IISR914, IISR915 and IISR149) as well as suppressing the rot pathogens, viz., P. fluorescens (isolates IISR6, HSRS1, IISR853), Bacillus spp. (isolates IISR147, I1SR148 and IISR152), were tested against ischolar_main rot of vanilla caused by F. oxysporum f. sp. vanillae. The consortia of rhizobacterial isolates, viz-,1)- P. fluorescens isolates (HSR13, I1SR51), Bacillus sp. (IISRIS2) and B. polymixa (IISR909); 2)- P. fluorescens isolates IISR13, IISR51), Bacillus sp.isolates (IISR148, IISR149, IISR152, IISR 907), B. polymixa (IISR909) and B. lentus (IISR 906); 3) P. fluorescens isolates (IISR6, 1ISR13, IISR51), Bacillus sp. isolates (IISR147, IISR151, IISR1S2, IISR153) and B. polymixa (IISR909); and 4) P. fluorescens isolates (IISR6, IISR5.1, IISR147, IISR148, IISR149 and 1ISR907) and B. lentus (IISR906), gave significant disease reduction (88.22-92.85%) when compared to control. However, among the four rhizobacterial consortia, 3 showed the maximum disease reduction of 92,9%.Keywords
Colletotrichum vanillae, Consortium, Fusarium oxysporum, PGPR, Phytophthora meadii, Rhizobacteria, Vanilla planifolia.Full Text
- Diapause Specific Expressed Sequence Tags of Antheraea mylitta Drury
Abstract Views :266 |
PDF Views:108
Authors
P. K. Mishra
1,
A. Kumar
1,
Lily Jaiswal
1,
S. K. Sharan
1,
D. Kumar
1,
J. P. Pandey
1,
A. K. Sinha
1,
B. C. Prasad
1
Affiliations
1 Silkworm Physiology Laboratory, Central Tasar Research and Training Institute, Piska Nagri, Ranchi-835303, Jharkhand, IN
1 Silkworm Physiology Laboratory, Central Tasar Research and Training Institute, Piska Nagri, Ranchi-835303, Jharkhand, IN
Source
Journal of Ecophysiology and Occupational Health, Vol 11, No 1-2 (2011), Pagination: 53-68Abstract
Daba bivoltine ecorace of tropical tasar silkworm Antheraea mylitta Drury undergoes facultative pupal diapause and shows different type of voltinism. During course of its long pupal diapause, erratic, unseasonal and unsynchronised emergence of adults is noticed and losses of seed stock range in between 10 - 30%. In order to avoid all these problems, proper understanding of induction, maintenance and termination state of diapause of this economically important insect is felt essential. The presence of diapause specific expressed sequence tags (ESTs) through PCR clones of Hsp70, Hsp23, hexamerins and PCNA genes have been reported in the present study. The ESTs obtained form the primers of Hexamerins were only seen when pupae were 65 and 165 days old. ESTSs obtained form the primers designed form Hsps 70 sequences were up regulated during early (D0), middle (D75) and late age (D135 to D165) of diapause period. The presence of Hsp23 was obtained during preparatory phase of diapause (IV instar) and pupae of early and mid aged diapause period (D0 to D75) and late age of diapause (D135 to D165). ESTs of Hsp22 were seen during preparatory phase of diapause (IV&V instar), throughout diapause period and even after diapause period was over. ESTs of Hsps90 were seen during preparatory stage (IV instar) and middle and late age of diapause period. Est of PCNA were down regulated throughout diapause period, their up regulation was seen at the time of diapause termination. Another group of ESTs obtained from different sets of Hsps 70 primers were up regulated intermittently through out the diapause period. Hsps90 were upregulated during middle and late age of true diapause period. At the fag end of true diapause period, ESTs disappeared when pupae became older than 165 days as no ESTs were seen when pupae were 195 days old indicating the actual age of diapause termination. It was also evidenced by the up regulation of PCNA.ESTs whose concentration remained very low through out the diapause period but its intensity increased at 195 days which further increased at 210 days. The pupae of Daba BV of 195 days and older can be further exploited for low temperature treatment to delay the moth emergence in adverse summer season so as to produce dfls matching with the actual cropping schedule.Keywords
Antheraea mylitta, Diapause Specific Expressed Sequence Tags, Diapause Termination State.Full Text
- Synthesis of Zinc Oxide Nano-Particles by Sol-Gel Method and Drop Wise Mixing Process
Abstract Views :158 |
PDF Views:3
Authors
A. Kumar
1,
N. A. Karimi
1
Affiliations
1 Department of Physics, B. N. College, Patna University, Patna - 800004, IN
1 Department of Physics, B. N. College, Patna University, Patna - 800004, IN
Source
Journal of Surface Science and Technology, Vol 31, No 3-4 (2015), Pagination: 179-183Abstract
In the present study the authors report the synthesis of zinc oxide nanoparticles by sol-gel method. ZnO is prepared by conventional precipitation method using sodium hydroxide and zinc sulphate solutions. A homogeneous solution of NaOH was prepared by dissolving 1.6 gm of NaOH in 40 cc of distilled water. The PH value was recorded as 11.57. Another solution of zinc sulphate was prepared by dissolving 9.68 gm of zinc sulphate in 120 ml of distilled water. The NaOH solution already prepared was allowed to mix with ZnSO4 solution by drop wise method at regular interval of time with continuous stirring for 65 minutes. The mixture was left for 48 hours then it was filtered out using whatmann paper and washed with deionised water several times. The residue was spread on a glass plate and placed in an oven for five hours where alternate heating and cooling was applied. It was heated for one hour at 1500°C then allowed to cool for 30 minutes. The zinc oxide was collected in fine powder form named as ZnO-A. Next the NaOH solution was suddenly mixed with ZnSO4 solution and after passing through same operation, the ZnO nanoparticles were collected in powder form named ZnO-B. The X-ray diffraction pattern shows that ZnO-A nanoparticle are highly crystalline with respect to ZnO-B. The surface morphology was recorded by SEM which indicates that the nanoparticles prepared by drop wise method (ZnO-A) are in cluster form where as ZnO-B are in the form of nanosheets. The X-ray diffraction pattern also shows that both ZnO-A and ZnO-B, nanoparticles are of hexagonal structure and grain size was calculated to be very small. The size of ZnO-A and ZnO-B are reported as 34.58 nm and 21.8 nm respectively.Keywords
Dropwise Mixing, Nanoparticle, Precipitation, Sol-Gel, XRD.References
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- Role of Magnification in Conservative Dentistry and Endodontics in Today's Practice-A Review of Literature
Abstract Views :261 |
PDF Views:193
Authors
Affiliations
1 Luxmi Bai Institute of Dental Sciences and Hospital, Dept. of Conservative Dentistry & Endodontics Patiala, Punjab, IN
1 Luxmi Bai Institute of Dental Sciences and Hospital, Dept. of Conservative Dentistry & Endodontics Patiala, Punjab, IN
Source
International Journal of Medical and Dental Sciences, Vol 5, No 2 (2016), Pagination: 1329-1340Abstract
Dentistry has become more sophisticated and complex thus requiring precised motor skills and visual acuity. Optical magnification has expanded the horizons of dentistry. During past decades, dentistry has not only evolved clinically but the histological aspects has also played an important part in the development of new materials as well as helped in better evaluation of treatment procedures. Hence this review article details about the possible alternatives of magnification such as magnifying glasses, dental loupes, optical microscopes, electron microscopes, surgical operating microscopes, endoscopes, and orascopes.Keywords
Magnification, Microscopes, Types, Dentistry, Limitations.Full Text
References
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- Appraisal of Functioning of Janani Suraksha Yojna: a Safe Motherhood Intervention in Rural Blocks of Haryana
Abstract Views :175 |
PDF Views:1
Authors
Affiliations
1 Dept of Community Medicine, Lady Hardinge Medical College, New Delhi, IN
2 Community Medicine, Lady Hardinge Medical College, New Delhi, IN
3 SMO, National Polio Surveillance Project (NPSP), Bareily, UP, IN
4 Community Medicine, Govt. Medical College, Nalhar, Mewat, Haryana, IN
1 Dept of Community Medicine, Lady Hardinge Medical College, New Delhi, IN
2 Community Medicine, Lady Hardinge Medical College, New Delhi, IN
3 SMO, National Polio Surveillance Project (NPSP), Bareily, UP, IN
4 Community Medicine, Govt. Medical College, Nalhar, Mewat, Haryana, IN
Source
The Indian Practitioner, Vol 69, No 5 (2016), Pagination: 38-42Abstract
Context: The Government of India had launched Janani Suraksha Yojana (JSY), in the year 2005, as a safe motherhood intervention to reduce maternal and infant mortality rate through better provision and utilisation of Mother and Child Health (MCH) services. Though the scheme was promising enough, its implementation and utilisation were not uniformly implemented across the country due to lack of awareness of the common people, accessibility of the health services and availability of funds.Aims: The present study was conducted to evaluate the operational mechanism of JSY and to assess the quality of services and perception of mothers regarding it.
Settings and Design: This was a rapid appraisal study conducted in four sub-centres, selected purposively, from two rural blocks of Haryana, a province of North India. The study design adopted was cross sectional.
Methods and Material: All the beneficiaries who received the benefits from 1.4.2009 to 31.3.2010 were enrolled in the study. The data were collected from beneficiaries regarding various aspects of JSY, using semi-structured schedule by carrying in-depth interviews, conducting house-to-house survey. Multi-purpose health workers - female (MPHW-F) of the sub-centres, accredited social health activist (ASHA) serving in the area and the concerned Medical Officer of the primary health centre (PHC) were also interviewed regarding implementation of JSY.
Results: Most of beneficiaries belonged to below poverty line (BPL) as well as schedule caste categories. Less than 15% of the beneficiaries received payment within one month. More than 80% of the beneficiaries got ≥ 2 ante-natal checkups, while post-natal checkups were received by less than 10%. More than two-third of the deliveries were still conducted at home.
Conclusion: More stress should be laid on the implementation of JSY in terms of place of delivery, provision of postnatal care and timely release of the monetary grants, so that the targeted objectives of this strategy can be achieved in a timely manner.
Keywords
Safe Motherhood Intervention, Rapid Appraisal, Maternal Mortality, Janani Suraksha Yojna.References
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- MOHFW, GOI. Janani Suraksha Yojna, Guidelines for implementation [internet]. 2006 [updated 2006 Dec 12; cited 2010 Nov 30]. Available from: http://www.mohfw.nic.in/dofw website/JSY_features_FAQ_Nov_2006.htm
- Nandan D, Agarwal D. Rapid Appraisal of health interventions. Indian J Public Health.2009;53(3):127
- Sharma MP, Soni SC, Bhattacharya M, Datta U, Gupta S, Nandan D. An assessment of institutional deliveries under JSY at different levels of health care in Jaipur district, Rajasthan. Indian J Public Health.2009;53(3):177-81.
- Pal DK, Toppo M, Gupta S, Nair KS, Khattar P, Nandan D. A rapid appraisal of functioning of district programme management units under NRHM in Madhya Pradesh. Indian J Public Health. 2009;53(3):151-7
- International Institute for Population Sciences and Macro International. National Family Health Survey (NFHS-3) 2005–06 India Volume I. Mumbai: IIPS;2007.
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- Srivastava RK, Kansal S, Tiwari VK, Piang L, Chand R, Nandan D. Assessment of utilization of RCH services and client satisfaction at different levels of health facilities in Varanasi district. Indian J Public Health. 2009;53(3):183-9
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- Singh CM, Jain PK, Nair KS, Kumar P, Dhar N, Nandan D. Assessment of utilization of untied funds under the National Rural Health Mission in Uttar Pradesh. Indian J Public Health. 2009;53(3):137-42.
- Collaborative Web Recommendation Systems Based on an Effective Fuzzy Association Rule Mining Algorithm (FARM)
Abstract Views :165 |
PDF Views:2
Authors
A. Kumar
1,
P. Thambidurai
2
Affiliations
1 Department of Computer Science & Engineering, Sathyabama University, Chennai, IN
2 Department of Computer Science & Engineering, Pondicherry Engineering College, Puducherry, IN
1 Department of Computer Science & Engineering, Sathyabama University, Chennai, IN
2 Department of Computer Science & Engineering, Pondicherry Engineering College, Puducherry, IN
Source
Data Mining and Knowledge Engineering, Vol 2, No 8 (2010), Pagination: 214-219Abstract
Web-based product and recommendation systems have become ever popular on-line business practice with increasing emphasis on modeling customer needs and providing them with targeted or personalized service solutions in real-time interaction. Recommender systems is a specific type of information filtering system technique that attempts to recommend information items like images, web pages, etc that are likely to be of interest to the user. Normally, a recommender system compares a user profile to some reference characteristics, and seeks to predict the 'rating' and retrieve the query elements. This system can be classified into two groups: one is Content-based recommendation and another is collaborative recommendation system. Content based recommendation tries to recommend web sites similar to those web sites the user has liked, whereas collaborative recommendation tries to find some users who share similar tastes with the given user and recommends web sites they like to that user. Based on web usage data in adoptive association rule based web mining the association rules were applied to personalization. The technique makes use of apriori algorithm to generate association rules. Even this method has some disadvantages. An effective Fuzzy Association Rule Mining Algorithm (FARM) is proposed by the author to overcome those disadvantages. This proposed Fuzzy HARM algorithm for association rule mining in web recommendation system results in better quality and performance.Keywords
Fuzzy Healthy Association Rule Mining, Association Rules, Apriori Algorithm, Collaborative Recommender.- Synthesis of Biogas as a Renewable Energy from Organic Waste Mixture by Anaerobic Fermentation
Abstract Views :174 |
PDF Views:1
Authors
Affiliations
1 Karpagam University, Coimbatore - 641021, Tamil Nadu, IN
2 Coimbatore Institute of Technology, Coimbatore-641014, Tamil Nadu, IN
3 Department of Chemical Engineering, Kongu Engineering College, Perundurai, Erode - 638052, Tamil Nadu, IN
1 Karpagam University, Coimbatore - 641021, Tamil Nadu, IN
2 Coimbatore Institute of Technology, Coimbatore-641014, Tamil Nadu, IN
3 Department of Chemical Engineering, Kongu Engineering College, Perundurai, Erode - 638052, Tamil Nadu, IN
Source
Nature Environment and Pollution Technology, Vol 15, No 2 (2016), Pagination: 437-442Abstract
An alternative method of obtaining gaseous fuel is through the anaerobic fermentation of wet livestock (animal and vegetable) wastes to produce biogas which is a mixture of methane (45-75%) and carbon dioxide. The process occurs in two stages. In the first stage, the complex organic substance contained in the waste is acted upon by a certain kind of bacteria called acid formers and are broken into small chain simple acids. The second stage produces methane and carbon dioxide by another kind of bacteria. The calorific value of this biogas ranges from 16000-25000 kj/m3. It is an excellent fuel for cooking and lighting as well. When blended with diesel, it is a very good alternate fuel for compression ignition engines and can yield diesel savings of 72 to 80%. Thus, by means of suitable apparatus, biogas is produced from animal waste and vegetable waste with high calorific value (more than 16000-25000 kj/m3).Keywords
Animal Waste, Vegetable Waste, Anaerobic Fermentation, Biogas.Full Text
References
- Aluydas, Zagorskis, Pranas, Baltrenas and Antonas, Misevicius 2012. Experimental biogas research by anaerobic digestion of waste of animal origin and biodegradable garden waste. African Jr. of Biotechnology, 11(100): 16586-16593.
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- Budiyono, B., Sumardiono, S. and Sunarso, S. 2010. Biogas production using anaerobic biodigester from Cassava starch effluent. Int. Jr. of Sci. and Engg., 1(2): 33-37.
- Selvamurugan, M., Ramkumar, V.R., Doraisamy, P. and Maheswari, M. 2013. Effluent of biomethanated distillery spent wash and biocompost application on soil quality and crop productivity. Asian Jr. of Science and Technology, 4(10): 124-129.
- Sharma, R., Sharma, D., Roa, K.S. and Jain, R.C. 2002. Experimental studies on waste paper pulp biodegradation. Indian Journal of Environmental Health, 44(3): 181-188.
- Ukpai, P.A. and Nnabuchi, M.N. 2012. Comparative study of biogas production from cow dung, cow pea and cassava peeling using 45 liters biogas digester. Advances in Applied Science Research, 3(3): 1864-1869.
- Clinical Profile, Pattern of Disease, Duration of Stay and Outcome of Patients Admitted in RICU at Tertiary Care Centre of Rohilkhand Region Bareilly
Abstract Views :170 |
PDF Views:1
Authors
Affiliations
1 Department of Pulmonary (Chest) Medicine, Rohikhand Medical College & Hospital, Bareilly, IN
1 Department of Pulmonary (Chest) Medicine, Rohikhand Medical College & Hospital, Bareilly, IN
Source
The Indian Practitioner, Vol 69, No 7 (2016), Pagination: 23-27Abstract
Introduction: Respiratory intensive care unit(RICU) is an area within hospital which is well equipped and under control of specialised team of doctors, nurses and paramedical staff for providing all possible health facilities to the patient. It is also a specialised place for the monitoring and treatment of patients with acute respiratory failure due to primary respiratory cause and of patient with acute or chronic respiratory failure.
Aim: The aim of this study was to determine the clinical profile, pattern of disease, duration of stay and outcome of patients admitted in RICU at tertiary care centre of Rohilkhand Medical College and Hospital (RMCH), Bareilly.
Methodology: For the practical approach the study was conducted on 144 patients of the RICU. The analysis included patients who were hospitalised in the RICU of Deptt. of Pulmonary Medicine, Rohilkhand Medical College and Hospital, Bareilly from May 2014 until May 2015. Results: There were 144 admission during the study period. 102 were male and 42 were female. 46% were referred from the Emergency department (ED) and 40% of patients came from other ICU and hospitals. The most common complaints of patients was breathlessness in 86.1% and cough 68.02%. Most patients had admission in the ICU because of Respiratory Disorders and were ≥ 50 yrs. Average ICU stay was 4.5 days. About 48% of patients showed response to Oxygen inhalational therapy, but 23% patients were put on mechanical ventilator. > 60% patients were discharged from RICU, 16% died and 15% patient discharged and referred to higher centres.
Conclusion: Respiratory problems are the major reason for an RICU admission. Most common indication for admission was Type II respiratory failure and most common cause was acute exacerbation (AE) of COPD. > 70% of patients were improved and discharged.
Keywords
Intensive Care Unit, Respiratory Failure, Acute Exacerbation, Emergency Department, Outcome.References
- Friedrichs.J.O, Wilson.G, Chant.C. Long-term outcomes and clinical predictors of hospital mortality in very long stay intensive care unit patients. Crit. Care (2006;10(2):59).
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- Weissman .C. Analyzing Intensive care unit lengh of stays data: problems and possible solutions. Crit. Care Med. (1997; 25(9):1594-1600).
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- Design and Implementation of Remote Wireless Monitoring and Control of Smart Power System Using Personal Area Network
Abstract Views :133 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics, Instrumentation and Control Engineering. University of Petroleum and Energy Studies. Dehradun – 248001, IN
2 Sany Group, Pune, IN
1 Department of Electronics, Instrumentation and Control Engineering. University of Petroleum and Energy Studies. Dehradun – 248001, IN
2 Sany Group, Pune, IN
Source
Indian Journal of Science and Technology, Vol 9, No 43 (2016), Pagination:Abstract
The most essential requirement of empowerment is energy. Smart grid technology is a significant leap towards reliable and consistent electricity. Integration of information and communication technologies is a vital part of smart grid progress. Smart grid communication infrastructure is a hierarchical network integrating heterogeneous set of communication standards and technologies. Microgrid plays an important role as a strategic component of smart grid as it enables the use of renewable energy resources. It can resolve the issues like unelectrified villages, electricity theft, depletion of fossil fuels, Green House Gas (GHG) emissions and greenhouse effect. Smart microgrid can operate on both is land as well as grid connected mode. It also contains various hierarchical communication networks for monitoring and control of complete system. This paper describes an experimental investigation of wireless monitoring and control of smart microgrid prototype using IEEE 802.15.1 based low power Personal Area Network.Keywords
Bluetooth, Communication, Energy Monitoring and Control, Home Automation, IEEE 802.15.1,, Microgrid, Renewable energy, Smart Grid, Solar Photovoltaic Wireless.Full Text
- Modelling and Simulation of Object Detection in Automotive Power Window
Abstract Views :109 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics, Instrumentation and Control Engineering University of Petroleum and Energy Studies, Dehradun-248001, Uttarakhand, IN
2 Centre of Information Technology, University of Petroleum and Energy Studies, Dehradun - 248001, Uttarakhand, IN
3 Department of Mechanical Engineering, University of Technology and Management, Shillong - 793001, Meghalaya, IN
1 Department of Electronics, Instrumentation and Control Engineering University of Petroleum and Energy Studies, Dehradun-248001, Uttarakhand, IN
2 Centre of Information Technology, University of Petroleum and Energy Studies, Dehradun - 248001, Uttarakhand, IN
3 Department of Mechanical Engineering, University of Technology and Management, Shillong - 793001, Meghalaya, IN
Source
Indian Journal of Science and Technology, Vol 9, No 43 (2016), Pagination:Abstract
The paper focuses on the system modelling of hardware based power window control system. In power window system, Direct Current (DC) motor served as the source of power to drive the power window frame and accordingly power window can be raised and lowered. In the paper, mathematical model of a DC motor controlled by an H bridge circuit and bridge is controlled through input switches which are available at driver and passenger door side. The main objective of power window control is to control the movement of glass door in upper and lower direction and this operation is controlled with the help of current sensor, fire sensor and position sensor in the replacement of manual control hand turned crank techniques for existing power windows. The driving component is DC motor that drives the power window using selflocking techniques for worm gear in the minimum ratio of 1:50 and output of worm gear goes to lead screw having pitch of 3mm to deliver linear movement to power window. The control unit of power window senses both high and low load obstructions. It is used to activate and deactivate the movement of the glass door in upward direction and downward direction with the help of DC motor, whenever, any hard and soft obstruction is detected. The automatic power window with intelligent control is designed and verified with several conditions that claim its movement in upward and downward direction. The simulation model is visualized in MATLAB/Simulink and performance is analysed with respect to current, voltage and speed measurement.Keywords
DC Motor, Intelligent Window Control System., Mathematical Modelling, Power Window.Full Text
- Winter Fog Experiment Over the Indo-Gangetic Plains of India
Abstract Views :265 |
PDF Views:58
Authors
Sachin D. Ghude
1,
G. S. Bhat
2,
Thara Prabhakaran
1,
R. K. Jenamani
3,
D. M. Chate
1,
P. D. Safai
1,
A. K. Karipot
4,
M. Konwar
1,
Prakash Pithani
1,
V. Sinha
5,
P. S. P. Rao
1,
S. A. Dixit
1,
S. Tiwari
1,
K. Todekar
1,
S. Varpe
1,
A. K. Srivastava
1,
D. S. Bisht
1,
P. Murugavel
1,
Kaushar Ali
1,
Usha Mina
6,
M. Dharua
1,
J. Rao
1,
B. Padmakumari
1,
A. Hazra
1,
N. Nigam
3,
U. Shende
3,
D. M. Lal
1,
B. P. Chandra
5,
A. K. Mishra
5,
A. Kumar
5,
H. Hakkim
5,
H. Pawar
5,
P. Acharja
1,
Rachana Kulkarni
1,
C. Subharthi
1,
B. Balaji
1,
M. Varghese
1,
S. Bera
1,
M. Rajeevan
7
Affiliations
1 Indian Institute of Tropical Meteorology, Pashan, Pune 411 008, IN
2 Indian Institute of Science, Bengaluru 560 012, IN
3 India Meteorological Department, New Delhi 110 003, IN
4 Savitribai Phule Pune University, Pune 411 007, IN
5 Indian Institute of Science Education and Research Mohali, Mohali 140 306, IN
6 Indian Agricultural Research Institute, Pusa, New Delhi 110 012, IN
7 Ministry of Earth Sciences, Government of India, New Delhi 110 003, IN
1 Indian Institute of Tropical Meteorology, Pashan, Pune 411 008, IN
2 Indian Institute of Science, Bengaluru 560 012, IN
3 India Meteorological Department, New Delhi 110 003, IN
4 Savitribai Phule Pune University, Pune 411 007, IN
5 Indian Institute of Science Education and Research Mohali, Mohali 140 306, IN
6 Indian Agricultural Research Institute, Pusa, New Delhi 110 012, IN
7 Ministry of Earth Sciences, Government of India, New Delhi 110 003, IN
Source
Current Science, Vol 112, No 04 (2017), Pagination: 767-784Abstract
The objectives of the Winter Fog Experiment (WIFEX) over the Indo-Gangetic Plains of India are to develop better now-casting and forecasting of winter fog on various time- and spatial scales. Maximum fog occurrence over northwest India is about 48 days (visibility <1000 m) per year, and it occurs mostly during the December-February time-period. The physical and chemical characteristics of fog, meteorological factors responsible for its genesis, sustenance, intensity and dissipation are poorly understood. Improved understanding on the above aspects is required to develop reliable forecasting models and observational techniques for accurate prediction of the fog events. Extensive sets of comprehensive ground-based instrumentation were deployed at the Indira Gandhi International Airport, New Delhi. Major in situ sensors were deployed to measure surface micro-meteorological conditions, radiation balance, turbulence, thermodynamical structure of the surface layer, fog droplet and aerosol microphysics, aerosol optical properties, and aerosol and fog water chemistry to describe the complete environmental conditions under which fog develops. In addition, Weather Forecasting Model coupled with chemistry is planned for fog prediction at a spatial resolution of 2 km. The present study provides an introductory overview of the winter fog field campaign with its unique instrumentation.Keywords
Aerosols, Atmospheric Profiles, Forecasting, Winter Fog.Full Text
- Estimation of Snow Accumulation on Samudra Tapu Glacier, Western Himalaya Using Airborne Ground Penetrating Radar
Abstract Views :152 |
PDF Views:71
Authors
K. K. Singh
1,
H. S. Negi
1,
A. Kumar
2,
A. V. Kulkarni
3,
S. K. Dewali
1,
P. Datt
1,
A. Ganju
1,
S. Kumar
1
Affiliations
1 Snow and Avalanche Study Establishment, Chandigarh 160 036, IN
2 National Institute of Technology, Kurukshetra 136 119, IN
3 Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
1 Snow and Avalanche Study Establishment, Chandigarh 160 036, IN
2 National Institute of Technology, Kurukshetra 136 119, IN
3 Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
Source
Current Science, Vol 112, No 06 (2017), Pagination: 1208-1218Abstract
In this study an airborne ground penetrating radar (GPR) is used to estimate spatial distribution of snow accumulation in the Samudra Tapu glacier (the Great Himalayan Range), Western Himalaya, India. An impulse radar system with 350 MHz antenna was mounted on a helicopter for the estimation of snow depth. The dielectric properties of snow were measured at a representative site (Patseo Observatory) using a snow fork to calibrate GPR data. The snow depths estimated from GPR signal were found to be in good agreement with those measured on ground with an absolute error of 0.04 m. The GPR survey was conducted over Samudra Tapu glacier in March 2009 and 2010. A kriging-based geostatistical interpolation method was used to generate a spatial snow accumulation map of the glacier with the GPR-collected data. The average accumulated snow depth and snow water equivalent (SWE) for a part of the glacier were found to be 2.23 m and 0.624 m for 2009 and 2.06 m and 0.496 m for 2010 respectively. Further, the snow accumulation data were analysed with various topographical parameters such as altitude, aspect and slope. The accumulated snow depth showed good correlation with altitude, having correlation coefficient varying between 0.57 and 0.84 for different parts of the glacier. Higher snow accumulation was observed in the north- and east-facing regions, and decrease in snow accumulation was found with an increase in the slope of the glacier. Thus, in this study we generate snow accumulation/SWE information using airborne GPR in the Himalayan terrain.Keywords
Glacier, Ground Penetrating Radar, Snow Accumulation, Snow Water Equivalent.Full Text
References
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- Waste Cooked Oil as an Alternative Feed Stock for Bio-Diesel Production in Indian Railways
Abstract Views :225 |
PDF Views:0
Authors
Affiliations
1 Indian Railways Institute of Mechanical and Electrical Engineering, (IRIMEE) Jamalpur, Bihar-811214, IN
2 Department of Mechanical Engineering, BIT,Mesra, Ranchi, Jharkhand, IN
3 University Department of Chemistry, L. N. M. University, Darbhanga, Bihar, IN
4 P. G. Department of Chemistry, T. M. Bhagalpur University, Bhagalpur, Bihar, IN
1 Indian Railways Institute of Mechanical and Electrical Engineering, (IRIMEE) Jamalpur, Bihar-811214, IN
2 Department of Mechanical Engineering, BIT,Mesra, Ranchi, Jharkhand, IN
3 University Department of Chemistry, L. N. M. University, Darbhanga, Bihar, IN
4 P. G. Department of Chemistry, T. M. Bhagalpur University, Bhagalpur, Bihar, IN
Source
Asian Journal of Research in Chemistry, Vol 4, No 6 (2011), Pagination: 942-945Abstract
Knowing the enormous potentialities of bio-diesels, Indian Railways has taken up challenge to produce it from plantation of Bio-fuel plants (Jatropha) on a large scale in the vast vacant lands throughout the country including the track sides, and decided to run its Diesel locomotives, road vehicles and even generator sets on it to minimise the air pollution extent in the IR premises. But due to non-availability of regular feedstock (Non-edible oils), it is difficult to continue the same. In this work ,bio-diesel was prepared through the transesterification from waste cooked oils(WCO), collected from Star hotels in and around new Delhi and from the canteen of Queen's Road Hostel, E. Railway Jamalpur. Methyl alcohol with KOH as a catalyst was used for the process. The best result was found at the temperature of 65°C with a reaction time of 1 hour. The biodiesel was characterized by its physical and fuel properties including viscosity, flash point, carbon residue, water and sediments content according to ASTM Standards and found to be comparable as per IS: 15607/05.Production of biodiesel from waste cooked oils for the diesel substitute is particularly important because of the decreasing trend of the economical oil reserves, environmental problems caused due to fossil fuel use and the high price of petroleum products in the international markets.Keywords
IR (Indian Railways), HSD Oil (High Speed Diesel), Waste Cooked Oil (WCO), Transesterification, Free Fatty Acid (FFA) etc.- Nutrigenomic Evaluation of Garlic (Allium sativum) and Holy Basil (Ocimum sanctum) Leaf Powder Supplementation on Growth Performance and Immune Characteristics in Broilers
Abstract Views :121 |
PDF Views:0
Materials and Methods: A 6 weeks feeding trial was conducted with 280-day-old Ven Cobb broilers, distributed randomly into seven experimental groups. Each treatment had 4 replicates with 10 birds each. The birds of the control group (T1) were fed a basal diet formulated as per BIS standards. The broilers of treatment groups T2 and T3 were fed basal diet supplemented with the commercially available garlic powder (GP) at levels of 0.5% and 1.0% of the feed, respectively, while broilers in T4 and T5 were fed basal diet supplemented with commercial grade holy basil leaf powder (HBLP) at levels 0.5% and 1.0% of the feed, respectively. Birds in the T6 were fed with 0.5% GP and 0.5% HBLP, whereas T7 was fed with 1.0% GP and 1.0% HBLP. At the end of the feeding trial (6th week), blood samples were collected and analyzed for relative mRNA expression of toll-like receptors (TLR) 2, TLR 4 and TLR 7 using real-time polymerase chain reaction.
Results: The mean body weight gain and feed conversion efficiency were improved (p<0.05) in broilers fed the GP and HBLP incorporated diets compared with the control group. The relative mRNA expression levels of TLR 2, TLR 4 and TLR 7 in the peripheral blood of the broilers were found to be increased (p<0.05) in the birds supplemented with graded levels of the GP and HBLP as compared to the untreated group.
Conclusion: The present work concludes that the inclusion of GP and HBLP could enhance the production performance and immune status of birds by augmenting the T-cell mediated immune response and thereby protects them from disease without decreasing growth traits as a possible substitution to conventional antimicrobials.
Authors
Affiliations
1 Department of Animal Nutrition, College of Veterinary Sciences, LLR University of Veterinary and Animal Sciences, Hisar-125004, Haryana, IN
2 Department of Animal Biotechnology, College of Veterinary Sciences, LLR University of Veterinary and Animal Sciences, Hisar-125004, Haryana, IN
1 Department of Animal Nutrition, College of Veterinary Sciences, LLR University of Veterinary and Animal Sciences, Hisar-125004, Haryana, IN
2 Department of Animal Biotechnology, College of Veterinary Sciences, LLR University of Veterinary and Animal Sciences, Hisar-125004, Haryana, IN
Source
Veterinary World, Vol 10, No 1 (2017), Pagination: 121-129Abstract
Aim: In this study, a planned research work was conducted to investigate the nutrigenomic aspects of supplementation of Allium sativum (garlic) and Ocimum sanctum (holy basil) leaf powder on the growth performance and immune characteristics of broilers.Materials and Methods: A 6 weeks feeding trial was conducted with 280-day-old Ven Cobb broilers, distributed randomly into seven experimental groups. Each treatment had 4 replicates with 10 birds each. The birds of the control group (T1) were fed a basal diet formulated as per BIS standards. The broilers of treatment groups T2 and T3 were fed basal diet supplemented with the commercially available garlic powder (GP) at levels of 0.5% and 1.0% of the feed, respectively, while broilers in T4 and T5 were fed basal diet supplemented with commercial grade holy basil leaf powder (HBLP) at levels 0.5% and 1.0% of the feed, respectively. Birds in the T6 were fed with 0.5% GP and 0.5% HBLP, whereas T7 was fed with 1.0% GP and 1.0% HBLP. At the end of the feeding trial (6th week), blood samples were collected and analyzed for relative mRNA expression of toll-like receptors (TLR) 2, TLR 4 and TLR 7 using real-time polymerase chain reaction.
Results: The mean body weight gain and feed conversion efficiency were improved (p<0.05) in broilers fed the GP and HBLP incorporated diets compared with the control group. The relative mRNA expression levels of TLR 2, TLR 4 and TLR 7 in the peripheral blood of the broilers were found to be increased (p<0.05) in the birds supplemented with graded levels of the GP and HBLP as compared to the untreated group.
Conclusion: The present work concludes that the inclusion of GP and HBLP could enhance the production performance and immune status of birds by augmenting the T-cell mediated immune response and thereby protects them from disease without decreasing growth traits as a possible substitution to conventional antimicrobials.
Keywords
Broilers, Garlic, Gene Expression, Holy Basil, Toll-Like Receptors.Full Text
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- Wenk, C. (2003) Herbs and botanicals as feed additives in monogastric animals. Asian-Australas J. Anim. Sci., 16(2): 282-289.
- Feng, Y., Zhu, X., Wang, Q., Jiang, Y., Shang, H., Cui, L. and Cao, Y. (2012) Allicin enhances proinflammatory immune responses and protects against acute murine malaria infection. Malar. J., 11: 268-296.
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- Bai, S. P., Lu, L., Luo, X. G. and Liu, B. (2008) Kinetic of manganese absorption in ligated small intestinal segments of broilers. Poult. Sci., 87: 2596-2604.
- Light Weight Freight Rolling Stock Bogie Frame:Design Methodology Validated with Field Oscillation Trials
Abstract Views :296 |
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Authors
Affiliations
1 Govt. of India, Ministry of Railways, Research Designs and Standards Organisation, IN
1 Govt. of India, Ministry of Railways, Research Designs and Standards Organisation, IN
Source
International Journal of Vehicle Structures and Systems, Vol 9, No 4 (2017), Pagination: 245-250Abstract
Indian railway has improved the laden to tare weight ratio by producing lighter as well as higher strength bogie frame of freight rolling stock. Bogie frame is the crucial component of the rail vehicle which carries static load in the form of gross weight and dynamic loads arising from various track and wheel irregularities. The three piece freight vehicle bogie frame comprises two side frames and one bolster. The side frame; fitted with three piece bogie frame and responsible for the ride quality of the freight vehicle, is considered in present study. The locations suitable for weight reduction are found by finite element analysis (FEA), using side frame solid model in MSC FEA environment. International standards of the association of American railroad (AAR specification M-203) load cases and boundary conditions are deployed for analysis in the context of the operating scenario of Indian railways. Typical Indian railway track signatures are used as input for transient analysis. Time dependent stresses at critical speeds are used for fatigue strength evaluation as per Goodman diagram. The modified design is approx. 13.90% lighter and sustains 25.00 ton axle load in comparison of earlier 22.00 ton. Suggested topological changes have been compared by using frequencies of the initial and modified designs. Further, based on Indian railways running conditions, actual assessment and trial of the modified design bogie frame prototype has been carried out by Research Designs and Standards Organisation (RDSO). The results of the trial are found to be satisfactory and within the prescribed range.Keywords
Rail Vehicle, Side Frame, Axle Load, Solid Model, Goodman Diagram, Fatigue Strength.Full Text
References
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- Plasma Enhanced Chemical Vapor Deposited (Pecvd) Silicon-Rich-Nitride Thin Films for Improving Silicon Solar Cells Efficiency
Abstract Views :102 |
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Authors
Affiliations
1 Sensors and Nanotechnology Group, CSIR-Central Electronics Engineering Research Institute (CEERI), Pilani-333031, IN
2 Electronics Science Department, Kurukshetra University, Kurukshetra-136119, IN
1 Sensors and Nanotechnology Group, CSIR-Central Electronics Engineering Research Institute (CEERI), Pilani-333031, IN
2 Electronics Science Department, Kurukshetra University, Kurukshetra-136119, IN
Source
International Journal of Scientific Engineering and Technology, Vol 1, No 4 (2012), Pagination: 111-115Abstract
Silicon-rich-nitride (SRN) films were deposited by plasma enhanced chemical vapour deposition (PECVD) by changing the silane and ammonia flow rates. These films were thermally annealed for precipitation of silicon nanocrystals. Measurements of refractive indices and FTIR absorption spectra of these films indicated increase in the silicon content. Thermally annealed SRN films exhibited photoluminescence in visible region indicating their potential as down-conversion layer for efficiency improvement in solar cells. A significant relative improvement in conversion efficiency using SiOx/SRN layers in solar cells has been reported in our earlier work. In this paper, we present detailed synthesis process, characterization and analysis of SiN films. Characterization results and solar cell measurements indicate that the observed photoluminescence at 577nm in visible range in selected films along is responsible for improvement in conversion efficiency through down-conversion of high energy solar photons.Keywords
Silicon-Rich-Nitride, Pecvd, Silicon-Nanostructures, Down-Conversion, Silicon Solar Cells, Photoluminescence.Full Text
- Recent Trends in Electroactive Polymer Nanocomposites and Swift Heavy Ion Irradiation Effects on Them
Abstract Views :132 |
PDF Views:0
Authors
Affiliations
1 Materials Research Laboratory, Department of Physics, Tezpur University, Napaam, Tezpur-784028, Assam, IN
1 Materials Research Laboratory, Department of Physics, Tezpur University, Napaam, Tezpur-784028, Assam, IN
Source
Invertis Journals of Renewable Energy, Vol 5, No 1 (2015), Pagination: 11-29Abstract
Materials research group at the Department of Physics, Tezpur University is involved in research on electroactive polymers viz., polymer electrolytes, conducting polymers and their nanocomposites and investigation of Swift Heavy Ion irradiation on them. Different polymer electrolyte systems including PVdF-HFP undoped PAni nanofibers dispersed, PEO-MMT, PMMA-MMT, PVdF-MMT based nanocomposite gel polymer electrolytes have been synthesized and characterized by ionic conductivity, electron microscopy, XRD, FTIR, DSC and electrochemical measurements with a view to gain an insight as to how ionic conductivity in polymers can be understood in terms of the dynamic aspects of local structure, including changes in coordination number and in the distribution of electronic charge. In conducting polymers, research has been taken up to develop conducting polymer based nanostructures and nanocomposites using soft template, rapid mixing and interfacial polymerization techniques for their applications as actuators, chemical and biosensors, and antioxidant materials. Understanding the structure property relationships in these technologically important materials using various diffraction, microscopic and spectroscopic techniques is of major interest. The group is also working on the study of swift heavy ion induced modifications in electroactive polymers in collaboration with Inter University Acceleration Centre (IUAC) New Delhi.Keywords
Electroactive Polymers, Nanocomposites, Heavy Ions, Irradiation Effects on Polymers.Full Text
- An Overview of Requirement Elicitation Techniques by Taking ART SCENE as One of Base Elicitation Tool
Abstract Views :247 |
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ART SCENE is a tool-supported contextual method for requirements elicitation and is created to gather requirements in a more detailed, complete and efficient way. It uses important aspects of other requirements elicitation techniques like contextual inquiry and scenario-based techniques.
Authors
A. Kumar
1,
A. K. Saini
2
Affiliations
1 Dravidian University, Andhra Pradesh, IN
2 Information Technology, GGSIPU, New Delhi, IN
1 Dravidian University, Andhra Pradesh, IN
2 Information Technology, GGSIPU, New Delhi, IN
Source
Journal of Scientific and Technical Research (Sharda University, Noida), Vol 7, No 2 (2017), Pagination: 1-6Abstract
Requirements elicitation is the way toward looking for, revealing, getting, and describing requirements for computer-based systems. It is by and large comprehended that requirements are inspired instead of just drawn together. This suggests there are discoveries, growth, and advanced components of the elicitation procedure. Requirements elicitation is a complex procedure, including various exercises with a collection of available systems, methodologies, and instruments for completing them. The paper introduces a thorough study of the essential parts of the strategies, methodologies, and instruments for requirements elicitation, and inspects the ebb and flow issues, patterns, and difficulties looked by analysts and professionals in this field.ART SCENE is a tool-supported contextual method for requirements elicitation and is created to gather requirements in a more detailed, complete and efficient way. It uses important aspects of other requirements elicitation techniques like contextual inquiry and scenario-based techniques.
Keywords
ART SCENE CoRE, Challenges, Requirement Elicitation, Techniques and Tools.References
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- Odd–Even Traffic Rule Implementation during Winter 2016 in Delhi Did Not Reduce Traffic Emissions of VOCs, Carbon Dioxide, Methane and Carbon Monoxide
Abstract Views :177 |
PDF Views:70
Authors
B. P. Chandra
1,
V. Sinha
1,
H. Hakkim
1,
A. Kumar
1,
H. Pawar
1,
A. K. Mishra
1,
G. Sharma
1,
Pallavi
1,
S. Garg
1,
Sachin D. Ghude
2,
D. M. Chate
2,
Prakash Pithani
2,
Rachana Kulkarni
2,
R. K. Jenamani
3,
M. Rajeevan
4
Affiliations
1 Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, IN
2 Indian Institute of Tropical Meteorology, Pashan, Pune 411 008, IN
3 India Meteorological Department, New Delhi 110 003, IN
4 Ministry of Earth Sciences, Government of India, New Delhi 110 003, IN
1 Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, IN
2 Indian Institute of Tropical Meteorology, Pashan, Pune 411 008, IN
3 India Meteorological Department, New Delhi 110 003, IN
4 Ministry of Earth Sciences, Government of India, New Delhi 110 003, IN
Source
Current Science, Vol 114, No 06 (2018), Pagination: 1318-1325Abstract
We studied the impact of the odd–even traffic rule (implemented in Delhi during 1–15 January 2016) on primary traffic emissions using measurements of 13 volatile organic compounds, carbon monoxide, carbon dioxide and methane at a strategic arterial road in Delhi (28.57°N, 77.11°E, 220 m amsl). Whole air samples (n = 27) were collected during the odd–even rule active (OA) and inactive (OI) days, and analysed at the IISER Mohali Atmospheric Chemistry Facility. The average mass concentration ranking and toluene/benzene ratio were characteristic of primary traffic emissions in both OA and OI samples, with the largest fraction comprising aromatic compounds (55– 70% of total). Statistical tests showed likely increase (p ≤ 0.16; OA > OI) in median concentration of 13 out of 16 measured gases during morning and afternoon periods (sampling hours: 07 : 00–08 : 00 and 13 : 30–14 : 30 IST), whereas no significant difference was observed for evening samples (sampling hour: 19 : 00–20 : 00 IST). This suggests that many four-wheeler users chose to commute earlier, to beat the 8 : 00 AM–8 : 00 PM restrictions, and/or there was an increase in the number of exempted public transport vehicles. Thus, the odd–even rule did not result in anticipated traffic emission reductions in January 2016, likely due to the changed temporal and fleet emission behaviour triggered in response to the regulation.Keywords
Odd–Even Rule, Pollution, PTR-MS, Traffic, VOCs.Full Text
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- Evaluation of Maize Inbreds and their Hybrids against Bacterial Stalk Rot, Banded Leaf and Sheath Blight under Mid Hill Conditions
Abstract Views :138 |
PDF Views:0
Authors
Affiliations
1 Department of Crop Improvement, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
2 ICAR Research Complex for North Eastern Hill Region, Sikkim Centre, Tadong, Gangtok, Sikkim-737102, IN
3 CSKHPKV Shivalik Agricultural Research and Extension Centre, Kangra, IN
1 Department of Crop Improvement, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
2 ICAR Research Complex for North Eastern Hill Region, Sikkim Centre, Tadong, Gangtok, Sikkim-737102, IN
3 CSKHPKV Shivalik Agricultural Research and Extension Centre, Kangra, IN
Source
Himachal Journal of Agricultural Research, Vol 40, No 2 (2014), Pagination: 173-176Abstract
Maize (Zea mays L.) is one of the most important Kharif cereal crops of Himachal Pradesh. It is mainly used as food, feed, fodder and fuel in the State and is grown over a wide range of agro-climatic conditions. The importance of biotic stresses and their ever-increasing global concern cannot be underestimated. Losses occurring every year due to one reason or another are massive and invariably result in fluctuating production and market price. During the recent past the spread of different hybrids in the state has increased the severity of different diseases in maize. Most important among them are banded leaf and sheath blight caused by Rhizoctonia solani f.sp. sasakii and Bacterial stalk rot incited by Erwinia chrysanthemi pv zeae. The existing local maize biodiversity in the state is still rich in resistance to such diseases. To combat this rising problem, an effort was made to develop the inbred lines of maize from local germplasm showing resistance to these diseases. Twelve diverse inbred lines were crossed to three inbred testers in L x T design. These twelve inbred lines, three testers and resulting 36 hybrids along with a single cross hybrid Vivek 23 ( check) were evaluated under Randomized Complete Block Design under field conditions. The crosses L1 x T3, L2 x T2, L2 x T3, L3 x T2 and L10 x T1 were found to be resistant to Bacterial Stalk rot. All the inbred lines except L1 and testers T1 and T2 were moderately resistant, while crosses L4 x T1, L5 x T3, L6 x T2, L6 x T3 and L10 x T2 were resistant to the banded leaf and sheath blight.Keywords
Maize, Inbred, Hybrid, Bacterial Stalk Rot, Banded Leaf & Sheath Blight.Full Text
- Scrotal Circumference:A Predictor of Testosterone Concentration And Certain Attributes Of Seminal Vesicles Influencing Buffalo Male Fertility
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Materials and Methods: Altogether, 59 apparently healthy male buffaloes sacrificed at slaughterhouse were selected (irrespective of breed) for measuring SC and collecting blood and paired SVs. The SC was measured at greater curvature using soft thread. In the present study, blood plasma testosterone, cholesterol, protein, and glucose in addition to SV fructose, citric acid and proteins in SV fluid were also estimated. The SV tissue was fixed in RNA later for RNA extraction.Male buffaloes were categorized as per total SV weight into Group I (<5.0 g), Group II (5.0-7.84 g), and Group III (>8.0 g) and dentitions-I (≤18 months), II (18-24 months), and III (≥24 months) to assess the effect of weight and dentition age on SC, SV weight, and its certain secretions. Data were analyzed using linear model procedure including Tukey HSD test and Pearson’s correlation coefficient. Variance inflation and condition index were also used to assess multicollinearity.
Results: Gross and histomorphological evaluation of SVs did not show any abnormality. Macronutrients (plasma protein, glucose, and cholesterol) showed non-significant (p>0.05) variation between groups. The SC and SV weight varied significantly (p<0.05) with a significant positive relationship with plasma testosterone, SV protein, fructose, and citric acid. In addition, testosterone concentration also showed increasing trend from Groups I to III but increased significantly (p<0.05) from Group II to III with positive and significant correlations with SV protein, fructose, and citric acid similar to SV weight and SC. Binders of sperm protein (BSP1, 3, and 5) genes (full length) were sequenced and established an evolutionary relationship which is lacking in buffalo.
Conclusion: The present findings established a significant positive correlation of SC with that of other fertility parameters related to SVs weight and its secretions: Fructose, citric acid, and protein (inclusive of BSPs sequenced full length), and testosterone. Therefore, the present integrated approach along with certain semen quality attributes reflecting epididymis function could be used as a predictive fertility marker for grading and selection of breeding bulls and their progenies to develop outstanding bull mother farm.
Authors
S. Mahmood
1,
A. Kumar
2,
R. Singh
3,
M. Sarkar
4,
G. Singh
4,
M. R. Verma
5,
G. V. P. P. S. R. Kumar
6
Affiliations
1 Division of Animal Reproduction, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
2 Division of Biochemistry, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
3 Division of Pathology, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
4 Division of Physiology and Climatology, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
5 Division of Livestock Economics and Statistics, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
6 Division of Biotechnology, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
1 Division of Animal Reproduction, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
2 Division of Biochemistry, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
3 Division of Pathology, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
4 Division of Physiology and Climatology, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
5 Division of Livestock Economics and Statistics, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
6 Division of Biotechnology, ICAR-Indian Veterinary Research Institute, Izzatnagar-243122, Bareilly, Uttar Pradesh, IN
Source
Veterinary World, Vol 11, No 6 (2018), Pagination: 739-747Abstract
Aim: The aim of this study was to evaluate the relationship of scrotal circumference (SC) with plasma testosterone, seminal vesicles (SVs) weight, and its secretion as measurable indicators of fertility and also to sequence and establish phylogenetic relatedness of certain SV protein genes with other species as such integrated approach is lacking.Materials and Methods: Altogether, 59 apparently healthy male buffaloes sacrificed at slaughterhouse were selected (irrespective of breed) for measuring SC and collecting blood and paired SVs. The SC was measured at greater curvature using soft thread. In the present study, blood plasma testosterone, cholesterol, protein, and glucose in addition to SV fructose, citric acid and proteins in SV fluid were also estimated. The SV tissue was fixed in RNA later for RNA extraction.Male buffaloes were categorized as per total SV weight into Group I (<5.0 g), Group II (5.0-7.84 g), and Group III (>8.0 g) and dentitions-I (≤18 months), II (18-24 months), and III (≥24 months) to assess the effect of weight and dentition age on SC, SV weight, and its certain secretions. Data were analyzed using linear model procedure including Tukey HSD test and Pearson’s correlation coefficient. Variance inflation and condition index were also used to assess multicollinearity.
Results: Gross and histomorphological evaluation of SVs did not show any abnormality. Macronutrients (plasma protein, glucose, and cholesterol) showed non-significant (p>0.05) variation between groups. The SC and SV weight varied significantly (p<0.05) with a significant positive relationship with plasma testosterone, SV protein, fructose, and citric acid. In addition, testosterone concentration also showed increasing trend from Groups I to III but increased significantly (p<0.05) from Group II to III with positive and significant correlations with SV protein, fructose, and citric acid similar to SV weight and SC. Binders of sperm protein (BSP1, 3, and 5) genes (full length) were sequenced and established an evolutionary relationship which is lacking in buffalo.
Conclusion: The present findings established a significant positive correlation of SC with that of other fertility parameters related to SVs weight and its secretions: Fructose, citric acid, and protein (inclusive of BSPs sequenced full length), and testosterone. Therefore, the present integrated approach along with certain semen quality attributes reflecting epididymis function could be used as a predictive fertility marker for grading and selection of breeding bulls and their progenies to develop outstanding bull mother farm.
Keywords
Male Buffalo, Morphology, Scrotal Circumference, Seminal Vesicles, Sequencing, Testosterone.Full Text
References
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