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Co-Authors
- Toran Lal Nishad
- Sanjay Singh
- Dharmendra
- Anjali Thakur
- R. P. Sharma
- N. K. Sankhyan
- Swapana Sepehya
- R. H. Rizvi
- R. Vishnu
- A. K. Handa
- S. Ramanan
- M. Yadav
- A. Mehdi
- R. K. Singh
- S. Londhe
- S. K. Dhyani
- J. Rizvi
- Punam
- Naved Qaisar
- Navjot Rana
- G. D. Sharma
- Bheem Pareek
- Nasratullah
- Sandeep Manuja
- Raj Paul Sharma
- Subhash Verma
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, Rameshwar
- Constraints Analysis in Relation to the Utilization of Kisan Credit Card in Rewa Block of Rewa District (M.P.)
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Authors
Affiliations
1 Department of Extension Education, College of Agriculture (J.N.K.V.V.), Rewa (M.P.), IN
2 Department of Agricultural Economics and Farm Management, College of Agriculture (J.N.K.V.V.), Rewa (M.P.), IN
1 Department of Extension Education, College of Agriculture (J.N.K.V.V.), Rewa (M.P.), IN
2 Department of Agricultural Economics and Farm Management, College of Agriculture (J.N.K.V.V.), Rewa (M.P.), IN
Source
Agriculture Update, Vol 14, No 1 (2019), Pagination: 62-64Abstract
The Kisan Credit Card scheme introduced in the year 1998 with the objective of fulfillment of agriculture the credit requirement of the farmers in a timely and hassle-free manner for raising agricultural production. Keeping the importance of KCC the present study was an attempt to assess utility of KCC as perceived by the farmers. To gain insight into the functioning of KCCs, the present study was carried out with a sample of 140 beneficiaries of Kisan Credit Card (70 small and 70 marginal farmers). The constraints experienced by the respondents in utilization of Kisan Credit Card of respondents. It was found that the major constraint experienced by the Kisan Credit Card holders were as inflexibility in use of branch (57.85) followed by inflexibility in withdrawal (57.14), insufficient credit limit (56.42), lack of motivation from officials (55.00) and lengthy paper work (54.28). The important suggestions offered by the Kisan Credit Card holders to avail the desired benefit from Kisan Credit Cards were as creating the awareness towards utilization of Kisan Credit Card, flexibility in use of branch (49.28), sufficient credit limit (47.85), motivation from officials (47.14), loaning procedure should be easier (45.00), there should be proper linkage between agricultural expert and beneficiaries (43.57) and premium of repayment should be minimum (42.14).Keywords
Agriculture Loan, Awareness, Farmers, District Co-Operative Bank.References
- Bista, D.R., Kumar, P.K. and Mathur, V.C. (2012). Progress and performance of Kisan Credit Card scheme with a case study of Bihar. Agric. Econ. Res. Rev., 25 (1) : 125-135.
- Kumar, A.,Yadav, C., Jee, S., Kumar, S. and Chauhan, S. (2011). Financial innovation in Indian agricultural credit market: Progress and performance of Kisan Credit Card. Indian J. Agric. Econ., 66 (3): 418-428.
- Meena, S.S. and Reddy, G.P. (2013). A study on growth, performance and impact of Kisan Credit Card on farmers income in rajasthan-an economic approach, J.Res ANGRAU, 41 (3):75-81.
- Parwate, P., Sharma, M.L. and Maske, M. (2012). A study on utilization pattern of Kisan Credit Card (KCC) among the farmers in Raipur district of Chhattisgarh. Internat. J. Agron. & Plant Prod., 3 (2): 54-58.
- Rajkumar, P.K. (2007). The success of farmers Credit Card (Kisan Credit Card) scheme in India. Indian Econ. Pano., 17(2), July 2007.
- Thakur, A. and Barman, U. (2013). Reasons for poor performance of disbursement of Kisan Credit Card and recovery of loan under the scheme in Assam A qualitative study. J. Academia &Industrial Res., 2 (1) : 16-20.
- Long-Term Effect of Fertilizers and Amendments on Maize Productivity and Relationship of Soil Health Parameters with Quality Traits of Maize Grains under Mid Hills Sub Humid Conditions of Himachal Pradesh
Abstract Views :240 |
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Authors
Affiliations
1 Department of Soil Science, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur - 176062, IN
1 Department of Soil Science, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur - 176062, IN
Source
Himachal Journal of Agricultural Research, Vol 45, No 1&2 (2019), Pagination: 25-30Abstract
This study was undertaken in an on-going long-term fertilizer experiment, initiated during 1972-73 at Experimental Farm of Department of Soil Science, CSK HPKV Palampur to work out the relationship of soil health parameters with quality of maize in an acid Alfisol. The soil of the experimental site was silt loam and classified taxonomically as Typic Hapludalf. The experiment consisted of eleven treatments with varying levels of NPK fertilizers, and FYM & lime as amendments. Continuous application of fertilizers and amendments for forty-six years significantly influenced the yield of maize. The highest grain (46.5 q ha-1) and stover yield of maize (77.0 q ha-1) was recorded in the 100 per cent NPK + FYM treatment and was at par with 100 per cent NPK + lime. Continuous omission of S and K decreased the grain yield by 55 and 53 per cent, respectively, whereas regular application of N alone resulted in zero yield. Soil health parameters and grain quality traits were assessed and the relationship between soil health parameters and quality traits of maize grains was worked out. Correlation studies revealed that soil organic carbon exhibited a positive and significant relationship with non- reducing sugar (r = 0.737**). Similar positive relationship was found between porosity and non-reducing sugars (r =0.940**). There was a positive and significant relationship between dehydrogenase activity and reducing sugars (r = 0.866**). Invariably, bulk density exhibited negative and significant relationship with different quality traits of maize grains.Keywords
Correlation, Fertilizers, FYM, Grains Quality Traits, Maize, Soil Health Parameters, Yield.References
- Anonymous. 2016. Director's Review. ICAR- Indian Institute of Maize Research, New Delhi. P1-3.
- Gomez KA and Gomez AA. 1984. Statistical Procedure for Agricultural Research. John Wiley and Sons, New York.
- Kuppusamy S, Yoon YE, Kim SY, Kim JH and Lee YB. 2017. Long-term inorganic fertilization effect on the micronutrient density in soil and rice grain cultivated in a south Korean paddy field. Communications in Soil Science and Plant Analysis 48 (13): 1603-1615.
- Majhi S, Thakur R, Pal SK, Upasani RR, Puran AN and Kujur AN. 2018. Long-term influence of nutrient management on productivity and profitability of maize (Zea mays)–wheat (Triticum aestivum) cropping system. Indian Journal of Agronomy 63 (1): 14-20.
- Pooniya V and Shivay YS. 2015. Influence of green manuring and zinc fertilization on quality parameters of basmati rice. Communications in Soil Science and Plant Analysis 46: 382-392.
- Rajneesh, Sharma RP, Sankhyan NK and Kumar Rameshwar. 2017. Long-term effect of fertilizers and amendments on depth-wise distribution of available NPK, micronutrient cations, productivity and NPK uptake by maize-wheat system in an acid-Alfisol of North-Western Himalayas. Communications in Soil Science and Plant Analysis 48 (18): 2193-2209.
- Singh V, Dixit SP, Kumar P, Sharma SK and Kaushal S. 2019. Correlation studies of soil properties under STCR approach with yield of maize (Zea mays L.) in an acid Alfisol. Journal of Pharmacognosy and Phytochemistry SP1: 94-96.
- Mapping of Agroforestry Systems and Salix Species in Western Himalaya Agroclimatic Zone of India
Abstract Views :178 |
PDF Views:112
Authors
R. H. Rizvi
1,
R. Vishnu
2,
A. K. Handa
2,
S. Ramanan
2,
M. Yadav
2,
A. Mehdi
2,
R. K. Singh
3,
S. Londhe
3,
S. K. Dhyani
3,
J. Rizvi
3,
Punam
4,
Rameshwar Kumar
4,
Naved Qaisar
5
Affiliations
1 ICAR-CSSRI Regional Research Station, Lucknow 226 005, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 World Agroforestry, South Asia Regional Programme, New Delhi 110 012, IN
4 Himachal Pradesh Krishi Vishvidyalay, Palampur 176 062, IN
5 Sher-e-Kashmir University of Agriculture and Technology, Srinagar 190 025, IN
1 ICAR-CSSRI Regional Research Station, Lucknow 226 005, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 World Agroforestry, South Asia Regional Programme, New Delhi 110 012, IN
4 Himachal Pradesh Krishi Vishvidyalay, Palampur 176 062, IN
5 Sher-e-Kashmir University of Agriculture and Technology, Srinagar 190 025, IN
Source
Current Science, Vol 121, No 10 (2021), Pagination: 1347-1351Abstract
In the present study, agroforestry was mapped in nine districts from Western Himalayan Region. The agroforestry area in these nine selected districts was estimated to be 332127.55 ha (12.4%). Salix alba, an important agroforestry species, accounted for about 12% of total agroforestry area in three districts of Kashmir valleyKeywords
Agroclimatic Zone, Agroforestry Mapping, Object-Oriented Classification, Remote Sensing, Tree Species.References
- Bargali, S. S., Bargali, K., Singh, L., Ghosh, L. and Lakhera, M. L., Acacia nilotica based traditional agroforestry system: effect on paddy crop and management. Curr. Sci., 2009, 96, 581–587.
- Parihaar, R. S., Bargali, K. and Bargali, S. S., Status of an indigenous agroforestry system: a case study in Kumaun Himalaya. Indian J. Agric. Sci., 2015, 85, 442–447.
- Unruh, J. D. and Lefebvre, P. A., A spatial database for estimating areas for agroforestry in Sub-Saharan Africa: aggregation and use of agroforestry case studies. Agrofor. Syst., 1995, 32, 81–96.
- Pathak, P. S., Pateria, H. M. and Solanki, K. R., Agroforestry systems in India: a diagnosis and design approach. National Research Centre for Agroforestry (ICAR), New Delhi, 2000.
- Dhyani, S. K., Handa, A. K. and Uma, Area under agroforestry in India: an assessment for present status and future perspective. Indian J. Agrofor., 2013, 315(1), 1–11.
- GoI, Report of the Task Force on Greening India for Livelihood Security and Sustainable Development, Planning Commission, Government of India, 2001, p. 231.
- Zomer, R. J., Trabucco, A., Coe, R., Place, F., van Noordwijk, M. and Xu, J. C., Trees on farms: an update and reanalysis of agroforestry’s global extent and socio-ecological characteristics. Working Paper 179. World Agroforestry Centre (ICRAF) Southeast Asia Regional Programme, Bogor, Indonesia, 2014; doi:10.5716/ WP14064.pdf
- De Mers, M. N., Fundamental of Geographic Information Systems, Wiley, New York, USA, 1997, p. 486.
- Rizvi, R. H., Dhyani, S. K., Newaj, R., Saxena, A. and Karmakar, P. S., Mapping extent of agroforestry area through remote sensing: issues, estimates and methodology. Indian J. Agrofor., 2013, 15(2), 26–30.
- Rizvi, R. H., Ram Newaj, A. K., Handa, K. B., Sridhar and Anil Kumar, Agroforestry mapping in India through geospatial technologies: present status and way forward. Technical Bulletin-1/2019, ICAR-Central Agroforestry Research Institute, Jhansi, 2019, pp. 1–35.
- Rizvi, R. H., Sridhar, K. B., Handa, A. K., Singh, R. K., Dhyani, S. K., Rizvi, J. and Dongre, G., Spatial analysis of area and carbon stocks under Populus deltoides based agroforestry systems in Punjab and Haryana states of Indo-Gangetic plains. Agrofor. Syst., 2020, 94(6), 2185–2197.
- Rizvi, R. H., Newaj, R., Srivastava, S. and Yadav, M., Mapping trees on farmlands using OBIA method and high resolution satellite data: a case study of Koraput district, Odisha. In ISPRSGEOGLAMISRS International Workshop on Earth Observations for Agricultural Monitoring, IARI, New Delhi, 18–20 February 2019.
- Barrile, V. and Bilotta, G., An application of remote sensing: objectoriented analysis of satellite data. Int. Arch. Photogramm. Remote Sensing Spat. Inf. Sci., 2008, XXXVII, 107–113.
- Shah, M., Masoodi, T. H., Khan, P. A., Wani, J. A. and Mir, S. A., Vegetation analysis and carbon sequestration potential of Salix alba plantations under temperate conditions of Kashmir, India. Indian For., 2015, 141(7), 755–761.
- Rizvi, R. H., Sridhar, K. B., Handa, A. K., Chaturvedi, O. P. and Singh, M., Spectral analysis of Hyperion hyperspectral data for identification of mango (Mangifera indica) species on farmlands. Indian J. Agrofor., 2017, 19(2), 61–64.
- Blaschke, T., Lang, S. and Hay, G. J. (eds), Object Based Image Analysis, Springer, Berlin, Germany, 2008, p. 817.
- Quality traits under different farming practices in legume-based cropping systems
Abstract Views :78 |
PDF Views:0
Authors
Affiliations
1 Department of Agronomy CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
2 Department of Horticulture and Agroforestry, CSK HPKV, Palampur, IN
3 Department of Soil Science, CSK HPKV, Palampur, IN
1 Department of Agronomy CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
2 Department of Horticulture and Agroforestry, CSK HPKV, Palampur, IN
3 Department of Soil Science, CSK HPKV, Palampur, IN
Source
Himachal Journal of Agricultural Research, Vol 47, No 2 (2021), Pagination: 169-174Abstract
Field experiments were conducted at Organic Farm Holta of Department of Organic Agriculture and Natural Farming, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur during kharif and rabi seasons of 2018-19 and 2019-20 on silty clay loam soil to study the performance of different quality traits under different farming practices in legume-based cropping systems. The experiment was laid out under Split Plot Design with three replications comprising of three sequences in legume – vegetable based cropping system i.e., “soybean – onion”, “okra – peas” and “mash – garlic” under different farming practices i.e., Organic farming, Natural farming, Inorganic and Integrated farming practices.Comparing different farming practices, highest protein content (39.1%) was observed in crops under organic farming practices followed by zero budget natural farming practices (38.3%). Significantly higher protein yield of these crops was also recorded under organic farming practices (449 kg/ha) followed by integrated farming practices (405 kg/ha).Carbohydrate yield (1127 kg/ha) and fat yield (120 kg/ha) of crops were significantly highest in integrated farming practices and inorganic farming practices respectively. “Soybean-onion” cropping system produced significantly highest protein yield (644 kg/ha) and fat yield (300.7 kg/ha) as compared to other cropping systems. However, higher protein content and low carbohydrate and fat were recorded in this system when grown under organic farming practices and was found to be the best amongst all cropping systems and farming practices combinations.Keywords
Cropping System, Farming Practices, Quality, Protein.References
- Adewole MB and Ilesanmi AO. 2011. Effects of soil amendments on the nutritional quality of okra. Journal of Soil Science and Plant Nutrition 11(3):45-55.
- AOAC. 2000. Association of Official Analytical Chemists, 17th ED. Of AOAC. International published by AOAC. International Maryland, USA, 1250 pp.
- Bachhav PR and Sabale RN. 1996. Effects of different sources of nitrogen on growth parameters, yield and quality of soybean. Journal of Maharashtra Agriculture University 21 (2):244-247.
- Deshmukh K. K, Khatik SK and Dubey DP. 2005. Effect of integrated use of inorganic, organic and biofertilizers on production, nutrient availability and economic feasibility of soybean grown on soil of Kaymore plateau and Satpura hills. Journal of Soils and Crops 15 (1): 21-25.
- Esmailian Y Ghanbari A, Babaeian M and Tavassoli A. 2011. Influence of organic and inorganic fertilizers and wastewater irrigation on yield and quality traits of soybean. Journal of Agriculture and Environment Science 10 (4): 658-666.
- Goldman IL, Kader AA and Heintz C. 2018. Influence of production, handling, and storage on systems: Ecology and mitigation. Scientia Horticulturae 236:192-206.
- Gomez KA and Gomez AA. 1984. Statistical Procedures for Agricultural Research. John Wiley and Sons, New York p 680.
- Gopalan C, Rama Sastri BV and Balasubramanian. 2007. Proximate Principles: Common Foods. Nutritive Value of Indian Foods p: 47-51.
- Hedge IE and Hofreiter BT. 1962. Carbohydrate Chemistry (Eds Whistler RL and Be Miller JN) Academic Press New York.
- Hoagland L, Ximenes E, Ku S and Ladisch M. 2018. Foodborne pathogens in horticultural production quality in controlled environments. Scientia Horticulturae 234:275-289.
- Hyten DL, Pantalone VR, Sams CE, Saxton AM, Landau Ellis D, Stefaniak TR and Schmidt ME. 2004. Seed quality QTL in a prominent soybean population. Theoretical and Applied Genetics 10: 552-561.
- Javed S and Panwar A. 2013. Effect of biofertilizer, vermicompost and chemical fertilizer on different biochemical parameters of Glycine max and Vigna mungo. Recent Research in Science and Technology 5:40-44.
- Joanne L. Slavin and Beate Lloyd. 2012. Health Benefits of Fruits and Vegetables. Advances in Nutrition 3 (4): 506516.
- Kouris-Blazos and Belski R. 2016. Health benefits of legumes and pulses with a focus on Australian sweet lupins. Asian Pacific Journal of Clinical Nutrition 21(1):1-17.
- Kumar Rameshwar, Punam and Seth Meenakshi. 2020. Productivity and profitability of legume-based cropping systems grown under organic conditions in mid-hills of Himachal Pradesh. Journal of Crop and Weed 16 (2): 117121.
- Kumar Rameshwar, Saini JP, Sharma SK and Seth Meenakshi. 2017. Influence of cereal–legume combination and sources of nutrients on productivity and profitability under organic production system. Indian Journal of Agronomy 62 (3): 275-279.
- Roupharl Y, Kyriacou MC, Petropoulos SA, De Pascale S and Colla G.1999. Improving vegetable phytonutrient content of foods. Nutrition Reviews 57: S46-S52.
- Smukler SM, Jackson LE, Murphree L, Yokota R, Koike ST and Smith RF. 2008. Transition to large-scale organic vegetable production in the Salinas Valley, California. Agriculture Ecosystem Environment 126:168-188.
- Slavin JL and Lloyd B. 2012. Health benefits of fruits and vegetables. Advances in Nutrition 3 (4):506-516.
- Evaluation of Different Components of Natural Farming in Black Gram (Vigna mungo L.) Under Mid Hill Conditionsof Himachal Pradesh
Abstract Views :87 |
PDF Views:0
Authors
Nasratullah
1,
Rameshwar Kumar
1,
Sandeep Manuja
1,
Raj Paul Sharma
1,
G. D. Sharma
1,
Subhash Verma
2
Affiliations
1 Department of Organic Agriculture and Natural Farming, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
2 Department of Veterinary Microbiology, DGCN COVAS, CSK HPKV, Palampur, IN
1 Department of Organic Agriculture and Natural Farming, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
2 Department of Veterinary Microbiology, DGCN COVAS, CSK HPKV, Palampur, IN
Source
Himachal Journal of Agricultural Research, Vol 47, No 2 (2021), Pagination: 175-179Abstract
Field experiments were conducted during kharif 2019 and 2020 at Holta Zero Budget Natural Farm (ZBNF), Department of Organic Agriculture and Natural Farming, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur to evaluate the comparative efficacy of different components of natural farming on crop production and economics of black gram. The results revealed that yield attributes and yield (seed and straw) of black gram increased significantly with application of natural farming components in totality. Application of ghanjeevamrit + jeevamrit + mulching (T7) significantly increased the seed yield of black gram over T8 (absolute control) by 61.4 and 233.1 per cent during 2019 and 2020, respectively and application of ghanjeevamrit + jeevamrit (T4) recorded significantly higher net returns of Rs. 49265 ha-1 statistically at par with ghanjeevamrit + jeevamrit + mulching (T4) in 2019. However, in 2020, application of ghanjeevamrit + jeevamrit + mulching (T7) recorded higher net returns of Rs. 64206 ha over other treatments.Keywords
Black Gram, Jeevamrit, Ghanjeevamrit, Mulching and Natural Farming.References
- Anonymous. 2018. Agricultural Statistics at a Glance. Directorate of Economics and Statistics, Department of Agriculture and Cooperation, New Delhi.
- Gomez GA and Gomez AA. 1984. Statistical Procedure for Agricultural Research (2nd Ed.). John Wiley and sons, New York. p 680.
- Kasbe SS, Joshi M and Bhaskar S. 2009. Characterization of farmer’s jeevamrit formulations with respect to aerobic rice. Mysore Journal of Agricultural Sciences 43 (3): 570-573.
- Palekar S. 2006. Shoonya Bandovalada Naisargika Krushi. Swamy Anand, Agri Prakashana, Bengaluru, India.
- Siddappa. 2015. Use of jeevamrit and farm yard manure on growth and yield of field bean (Lablab purpureus var. lignosus). M Sc Thesis, University of Agricultural Sciences, Bengaluru, India.
- Sutar R, Sujith GM and Devakumar N. 2018. Growth and yield of Cowpea (Vigna unguiculata (L.) Walp) as influenced by jeevamrit and panchagavya application. Legume Research 3932: 1-5.