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Co-Authors
- V. K. Gupta
- S. P. Ahlawat
- A. Datta
- R. S. Dhillon
- M. Jatian
- Charan Singh
- T. Rani
- A. K. Bharti
- Ram Newaj
- Rajendra Prasad
- A. K. Handa
- Badre Alam
- S. B. Chavan
- Abhishek Saxena
- P. S. Karmakar
- Amit Jain
- Mayank Chaturvedi
- O. P. Chaturvedi
- Dhiraj Kumar
- Anil Kumar Singh
- Abhishek Maurya
- Gargi Gupta
- Kedari Singh
- R. Vishnu
- S. Ramanan
- M. Yadav
- A. Mehdi
- R. K. Singh
- S. Londhe
- S. K. Dhyani
- J. Rizvi
- Punam
- Rameshwar Kumar
- Naved Qaisar
- A. Arunachalam
- S. Suresh Ramanan
Journals
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Rizvi, R. H.
- Age-age Correlation Models for Dalbergia sissoo Roxb. in Semi-arid Region of Central India
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Indian Forester, Vol 135, No 8 (2009), Pagination: 1050-1058Abstract
Nine years growth data of Dalbergia sissoo progeny trial established in semi-arid region of Central India was analysed. Significantly high age-age correlations were found for tree traits viz. height, dbh and D2H. Among three traits, empirical model developed for trait index D2H was found to be best fit (adj. R2 = 0.931). Using this model, the age-age correlations were predicted and efficiency of early selection in terms of gain per year for different plantation and rotation ages was estimated. For the selection age 12 years and rotation age 40 years, the genetic gain was almost twice. But this model is time dependent and does not take into account the growth rates. Another type of model based on variance ratio and a factor of relative size dependent growth was also applied. Predictions of age-age correlations were found to be better in case of D2H than height and dbh. According to this model, selection of progenies at 9 years age seems reasonably good for the improvement of height of Dalbergia sissoo.Keywords
Dalbergia sissoo Roxb., Age-age Correlation Models, Semi-arid Region, CentralIndia
- Assessment of Genetic Diversity in Jatropha Curcas (L.) Germplasm from India Using Rapd Markers
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Indian Forester, Vol 138, No 6 (2012), Pagination: 491-497Abstract
Random amplified polymorphic DNA (RAPD) markers were used to evaluate the genetic diversity among populations of Jatropha curcas (L.) from different agro-climatic regions of India. Out of 305 amplified bands obtained with 30 primers, 291 were found polymorphic. The polymorphisms were scored and used in band-sharing analysis to identify genetic relationship. Evaluated accessions were grouped into two main clusters except MP-020 from Ratlam (Madhya Pradesh) was out crouped from rest of accessions at a similarity coefficient of 0.50. Based on Jaccard's coefficient of similarity values, the maximum similarity was found between accessions MP-022 and MP-031 (0.95). Molecular diversity among the accessions was low at a level of 30 per cent, indicating the need of widening the genetic base of J.curcas through various means.Keywords
Jatropha curcas, accessions, RAPD, genetic diversity- Growth Models for Acacia nilotica Young Plantation in Semi-Arid Region of Central India
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Indian Forester, Vol 139, No 5 (2013), Pagination: 403-407Abstract
Six years growth data of Acacia nilotica plantation was compiled and analysedstatistically. Significantly high correlations were found between height and dbh (0.93) and also between canopy diameter and dbh (0.92). Therefore, height-dbh and canopy diameter-dbh relationships have been established for A. nilotica trees. The non-linear models; Ln H=3.813+0.805D0.267 and CaD=0.438 + 0.396 D - 0.009 D2; where, H-tree height (m), D-diameter at breast height (cm) and CaD- canopy diameter (m) were developed. These models were found good fit on the basis of statistical criteria and may be used for estimating height and canopy diameter of A. nilotica trees in semi-arid region of Central India.Keywords
Acacia Nilotica, Anamorphic, Model, Height-diameter, Semi-arid- Assessment of Carbon Storage Potential and Area under Agroforestry Systems in Gujarat Plains by Co2fix Model and Remote Sensing Techniques
Abstract Views :182 |
PDF Views:98
Authors
R. H. Rizvi
1,
Ram Newaj
1,
Rajendra Prasad
1,
A. K. Handa
1,
Badre Alam
1,
S. B. Chavan
1,
Abhishek Saxena
1,
P. S. Karmakar
1,
Amit Jain
1,
Mayank Chaturvedi
1
Affiliations
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
Source
Current Science, Vol 110, No 10 (2016), Pagination: 2005-2011Abstract
Agroforestry is a traditional and ancient land use practice, having deliberate integration of trees with crop and livestock components. In India, agroforestry practices are prevalent in different agro-ecological zones and occupy sizeable areas. These practices have great potential for climate change mitigation through sequestration of atmospheric CO2. Carbon sequestration potential was studied in four districts of Gujarat (Anand, Dahod, Patan and Junagarh), for which field survey was conducted to collect primary data on existing agroforestry systems. The extent of agroforestry area in these districts was estimated by sub-pixel classifier using medium resolution remote sensing data (RS-2/LISS III). By sub-pixel classifier, the highest area under agroforestry was estimated in Dahod (12.48%) followed by Junagarh district (10.95%) with an average of 9.12%. Sapota (Manilkara zapota) based agroforestry was also mapped in Junagarh district, which occupied an area of 1.13%. An accuracy of 87.2% was found by sub-pixel classifier in delineation of sapota-based agroforestry in the district. Dynamic CO2FIX model has been used to estimate total carbon (biomass + soils) and net carbon sequestered in existing agroforestry systems. Net carbon sequestered over a simulated period of 30 years in Anand, Dahod, Patan and Junagarh districts was found to be 2.70, 6.26, 1.61 and 1.50 Mg C ha-1 respectively. Total carbon stock in all four districts for baseline and simulated period of 30 years was estimated to be 2.907 and 3.251 million tonnes respectively. Thus, agroforestry systems in Gujarat have significant potential in carbon storage and trapping atmospheric CO2 into biomass and soils. Hence, CO2FIX model in conjunction with remote sensing techniques can be successfully applied for estimating carbon sequestration potential of agroforestry systems in a district or a region.Keywords
Agroforestry, Geospatial, Remote Sensing, Sub-Pixel, Tree Cover.Full Text
- Soil Organic Carbon Stock in Agroforestry Systems in Western and Southern Plateau and Hill Regions of India
Abstract Views :285 |
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Authors
Ram Newaj
1,
O. P. Chaturvedi
1,
Dhiraj Kumar
1,
Rajendra Prasad
1,
R. H. Rizvi
1,
Badre Alam
1,
A. K. Handa
1,
S. B. Chavan
1,
Anil Kumar Singh
1,
Mayank Chaturvedi
1,
P. S. Karmakar
1,
Abhishek Maurya
1,
Abhishek Saxena
1,
Gargi Gupta
1,
Kedari Singh
1
Affiliations
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
Source
Current Science, Vol 112, No 11 (2017), Pagination: 2191-2193Abstract
The rising level of carbon dioxide (CO2) in the atmosphere is a major concern, as scientific evidences show that it is the primary cause of global warming. CO2 concentration is expected to double by the middle or end of the 21st century, with a temperature rise between 1.5°C and 4.5°C (ref. 1). The importance of agroforestry as a land-use system is receiving wider recognition not only in terms of agricultural sustainability, but also in issues related to carbon sequestration or climate change.Full Text
References
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- Mapping of Agroforestry Systems and Salix Species in Western Himalaya Agroclimatic Zone of India
Abstract Views :185 |
PDF Views:117
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.Full Text
References
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- 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.
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- 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.
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- 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.
- Agroforestry in India: area estimates and methods
Abstract Views :150 |
PDF Views:81
Authors
Affiliations
1 ICAR-Central Agroforestry Research Institute, Jhansi 248 003, India
2 ICAR-CSSRI Regional Research Station, Lucknow 226 002, India
1 ICAR-Central Agroforestry Research Institute, Jhansi 248 003, India
2 ICAR-CSSRI Regional Research Station, Lucknow 226 002, India
Source
Current Science, Vol 123, No 6 (2022), Pagination: 743-744Abstract
No Abstract.Full Text
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- Rizvi, R. H., Newaj, R., Handa, A. K., Sridhar, K. B., and Kumar, A., Agrofore-stry Mapping in India through Geospatial Technology: Present Status & Way Forward, National Research Centre for Agroforestry, Jhansi, 2019.
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