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- S . B. Chavan
- A. Keerthika
- S. K. Dhyani
- Ram Newaj
- K. Rajarajan
- S. B. Chavan
- A. R. Uthappa
- K. B. Sridhar
- Naresh Kumar
- Dhiraj Kumar
- O. P. Chaturvedi
- R. H. Rizvi
- Rajendra Prasad
- Badre Alam
- Abhishek Saxena
- P. S. Karmakar
- Amit Jain
- Mayank Chaturvedi
- Anil Kumar Singh
- Abhishek Maurya
- Gargi Gupta
- Kedari Singh
- Ajit
- G. M. Bhat
- A. R. Malik
- V. Dutt
- T. H. Masoodi
- Uma
- Sheeraz Saleem Bhat
- Suheel Ahmad
- Ayyandar Arunachalam
- S. Suresh Ramanan
- R. Vishnu
- S. Ramanan
- M. Yadav
- A. Mehdi
- R. K. Singh
- S. Londhe
- J. Rizvi
- Punam
- Rameshwar Kumar
- Naved Qaisar
- Chhavi Sirohi
- A. Arunachalam
- S. S. Ramanan
- A. Krishna
- R. H. Kolse
- K. S. Bangarwa
- R. S. Dhillon
Journals
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
Handa, A. K.
- National Agroforestry Policy in India:A Low Hanging Fruit
Abstract Views :322 |
PDF Views:85
Authors
Affiliations
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 ICAR-Central Arid Zone Research Institute, RRS, Pali-Marwar 306 401, IN
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 ICAR-Central Arid Zone Research Institute, RRS, Pali-Marwar 306 401, IN
Source
Current Science, Vol 108, No 10 (2015), Pagination: 1826-1834Abstract
Since ages agroforestry has been known as a traditional land-use system in India. The multivarious benefits and services generated are recognized as a tool to improve the livelihood status of farmers. Commercial agroforestry gained momentum in the regions where it got support from industry and assured market facilities. However, lack of policy initiatives and strict trade regulations has not supported wide adoption of agroforestry. Though prominent agroforestry models are being developed in different parts of the country, there is no clear-cut mechanism from seed procurement to marketing of the products. In this context, the National Agroforestry Policy, 2014 came in limelight to address the issues of quality planting material, tree insurance, restrictions on transit and harvesting, marketing of agroforestry produce, research and extension. This article links highlights of the policy to existing successful ground-level schemes and the challenges to focus on agroforestry not only as a successful land-use system, but also to utilize its full potential in the economic development of the country.Keywords
Agroforestry Policy, Public Private Partnership, Sustainability, Tree Insurance.- Trees for Life:Creating Sustainable Livelihood in Bundelkhand Region of Central India
Abstract Views :281 |
PDF Views:105
Authors
S. B. Chavan
1,
A. R. Uthappa
1,
K. B. Sridhar
1,
A. Keerthika
2,
A. K. Handa
1,
Ram Newaj
1,
Naresh Kumar
1,
Dhiraj Kumar
1,
O. P. Chaturvedi
1
Affiliations
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 ICAR-Central Arid Zone Research Institute, RRS, Pali-Marwar 306 401, IN
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 ICAR-Central Arid Zone Research Institute, RRS, Pali-Marwar 306 401, IN
Source
Current Science, Vol 111, No 6 (2016), Pagination: 994-1002Abstract
Trees have been a part of life for centuries in India for sustainable livelihood security. Under the difficult climatic situations, farmers are forced to adopt tree-based systems to secure their income and livelihood. Non-timber forest products (NTFPs) harvesting, collection and processing are creating several employment opportunities in the drought-prone Bundelkhand region of India. This article aims to document the livelihood dependency on trees of farmers, tribals and landless labourers for income generation. Surveys and interviews in Bundelkhand region provided an overview of the dependency of different rural communities on NTFPs such as gum, dona pattal, lac from Butea; brooms, jaggery and baskets from Phoenix; flowers and seeds from mahua; bidi leaves from tendu and sticks from bamboo for sustaining their livelihood. To promote NTFPs-based livelihood enterprises, more emphasis should be given for sustainable harvest, value-addition and marketing.Keywords
Employment Generation, Sustainable Livelihood, Trees.- Assessment of Carbon Storage Potential and Area under Agroforestry Systems in Gujarat Plains by Co2fix Model and Remote Sensing Techniques
Abstract Views :179 |
PDF Views:96
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.- Soil Organic Carbon Stock in Agroforestry Systems in Western and Southern Plateau and Hill Regions of India
Abstract Views :282 |
PDF Views:95
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.References
- Smith, K. A., Ball, T., Conen, F., Dobbie, K. E., Massheder, J. and Rey, A., Eur. J. Soil Sci., 2003, 54, 779–791.
- Verma, K. S., Kumar, S. and Bhardwaj, D. R., J. Tree Sci., 2008, 27(1), 14–27.
- Jordan, C. F., Agrofor. Syst., 2004, 61, 79–90.
- Peichl, M., Thevathasan, N. V., Gordon, A. M., Huss, J. and Abohassan, R. A., Agrofor. Syst., 2006, 66, 243–257.
- Lorenz, K. and Lal, R., Agron. Sustain. Dev., 2014, 34, 443–454.
- Nair, P. K. R., Agrofor. Syst., 2012, 86, 243–253.
- Haile, S. G., Nair, V. D. and Nair, P. K. R., Global Change Biol., 2010, 16, 427–438.
- Upson, M. A. and Burgess, P. J., Plant Soil, 2013, 373, 43–58.
- Walkley, A. J. and Black, C. A., Soil Sci., 1934, 37, 29–38.
- Soto-Pinto, L., Anzueto, M., Mendoza, J., Ferrer, G. J. and de Jong, B., Agrofor. Syst., 2010, 78, 39–51.
- Nair, P. K. R. and Nair, V. D., Curr. Opin. Environ. Sustain., 2014, 6, 22–27.
- Hendrick, R. L. and Pregitzer, K. S., J. Ecol., 1996, 84, 167–176.
- Martin, M. P., Wattenbach, M., Smith, P., Meersmans, J., Jolivet, C., Boulonne, L. and Arrouays, D., Biogeosciences, 2011, 8, 1053–1065.
- Munoz-Rojas, M., Jordan, A., Zavala, L. M., De la Rosa, D., Abd-Elmabod, S. K. and Anaya-Romero, M., Solid Earth, 2012, 3, 375–386.
- Swamy, S. L. and Puri, S., Agrofor. Syst., 2005, 64, 181–195.
- Quantification of Carbon Stocks and Sequestration Potential through Existing Agroforestry Systems in the Hilly Kupwara District of Kashmir Valley in India
Abstract Views :260 |
PDF Views:83
Authors
Ajit
1,
A. K. Handa
2,
S. K. Dhyani
3,
G. M. Bhat
4,
A. R. Malik
4,
V. Dutt
4,
T. H. Masoodi
4,
Uma
1,
Amit Jain
2
Affiliations
1 ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110 012, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 NRM-Division, ICAR, KAB-II, Pusa, New Delhi 110 012, IN
4 Camp-Wadura, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar 190 025, IN
1 ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110 012, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 NRM-Division, ICAR, KAB-II, Pusa, New Delhi 110 012, IN
4 Camp-Wadura, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar 190 025, IN
Source
Current Science, Vol 113, No 04 (2017), Pagination: 782-785Abstract
The dynamic carbon accounting model CO2FIX was used for evaluating carbon stocks and estimate greenhouse gas mitigation through tree-based systems, outside the forest area, in Kupwara district of Kashmir valley India. Primary survey results revealed that on an average, there were about 135 trees per hectare, existing on farmers' field. Malus (33.75%), populus (29.91%), salix (14.32%), juglans (6.68%) and robinia (4.7%) were dominant tree species. Paddy and maize are the dominant kharif crops, whereas rabi season is dominated by oilseeds and fodder crops. The carbon sequestration potential, all the three pools simultaneously (viz. tree, crop and soil), of existing agroforestry systems (AFS) has been predicted as 0.88 Mg C ha-1 yr-1. AFS at district level are estimated to sequester 146,996 tonnes of CO2 equivalent annually, which may offset completely the greenhouse gas emissions from agriculture/irrigation sector on account of electricity consumption throughout the state of Jammu and Kashmir.Keywords
Agroforestry Systems, Carbon Sequestration Potential, GHG Mitigation, Soil Carbon, Tree Biomass.References
- Albrecht, A. and Kandji, S. T., Carbon sequestration in tropical agroforestry systems. Agric. Ecosys. Environ., 2003, 99, 15–27.
- Rao, K. P. C., Verchot, L. V. and Laarman, J., Adaptation to climate change through sustainable management and development of agroforestry systems. SAT eJournal, 2007, 4, 1–30.
- Sheikh, A. Q., Skinder, B. M., Pandit, A. K. and Ganai, B. A., Terrestrial carbon sequestration as a climate change mitigation activity. J. Pollut. Effects Control, 2014, 2, 110; doi:10.4172/jpe.1000110.
- Calfapietra, C., Gielen, B., Karnosky, D., Ceulemans, R. and Mugnozza, G. S., Response and potential of agroforestry crops under global change. Environ. Pollut., 2010, 158, 1095–1104.
- Wani, N. R. and Qaisar, K. N., Carbon per cent in different components of tree species and soil organic carbon pool under these tree species in Kashmir valley. Curr. World Environ., 2014, 9(1), 174–181; http://dx.doi.org/10.12944/CWE.9.1.24.
- Wani, N. R., Qaisar, K. N. and Khan, P. A., Growth performance, biomass production and carbon stocks of 19 year old Fraxinus floribunda (ash tree) plantations in Kashmir valley. Agric. Forest., 2014, 60(1), 125–143.
- Wani, N. R., Qaisar, K. N. and Khan, P. A., Biomass, carbon stocks and carbon dioxide mitigation potential of Cedrus deodara under temperate conditions of Kashmir. Can. J. Pure Appl. Sci., 2014, 8(1), 2677–2684.
- Nabuurs, G. J. and Schelhaas, M. J., Carbon profile of typical forest types across Europe assessed with CO2FIX. Ecol. Indicators, 2002, 1, 213–233.
- Masera, O. et al., Modelling carbon sequestration in afforestation, agroforestry and forest management projects: the CO2FIX V.2 approach. Ecol. Model, 2003, 164, 177–199.
- Schelhaas, M. J. et al., CO2FIX V 3.1 – a modelling framework for quantifying carbon sequestration in forest ecosystems. ALTERRA Report 1068, Wageningen, The Netherlands, 2004.
- Gaboury, S., Boucher, J. F., Villeneuve, C., Lord, D. and Gagnon, R., Estimating the net carbon balance boreal open woodland afforestation: a case study in Quebec’s closed crown boreal forest. Forest Ecol. Manage., 2009, 257, 483–494.
- Kaul, M., Mohren, G. M. J. and Dadhwal, V. K., Carbon storage and sequestration potential of selected tree species in India. Mitig. Adapt. Strateg. Global Change, 2010, 15, 489–510.
- Ajit, et al., Modelling analysis of potential carbon sequestration under existing agroforestry systems in three districts of IndoGangetic plains in India. Agroforest. Syst., 2013, 87, 1129–1146.
- Ajit, et al., Estimating carbon sequestration potential of existing agroforestry systems in India. Agroforest Syst., 2016, 1–20; doi: 10.1007/s10457-016-9986-z (published online 12 August 2016).
- Liski, J., Palosuo, T., Peltoniemi, M. and Sievanen, R., Carbon and decomposition model YASOO for forest soils. Ecol. Model, 2005, 189, 168–182.
- Dar, J. A. and Sundarapandian, S., Variation of biomass and carbon pools with forest type in temperate forests of Kashmir Himalaya, India. Environ. Monitor. Assess., 2015, 87(2), 55; doi: 10.1007/s10661-015-4299-7.
- Jana, B. K., Biswas, S., Majumder, M., Roy, P. K. and Mazumdar, A., Carbon sequestration rate and above ground biomass carbon potential of four young species. J. Ecol. Natural Environ., 2009, 1, 15–24.
- Yadava, A. K., Biomass production and carbon sequestration in different agroforestry systems in Tarai region of central Himalaya. Indian Forester, 2010, 136, 234–244.
- Poplar (Populus deltoides) in Jammu and Kashmir, India: Facts and Fiction
Abstract Views :245 |
PDF Views:76
Authors
S. B. Chavan
1,
A. Keerthika
2,
Sheeraz Saleem Bhat
3,
A. K. Handa
1,
K. Rajarajan
1,
Suheel Ahmad
3
Affiliations
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 ICAR-Central Arid Zone Research Institute, Regional Research Station, Pali-Marwar 306 401, IN
3 ICAR-Indian Grassland and Fodder Research Institute, Regional Research Station, Rangreth, Srinagar 191 132, IN
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 ICAR-Central Arid Zone Research Institute, Regional Research Station, Pali-Marwar 306 401, IN
3 ICAR-Indian Grassland and Fodder Research Institute, Regional Research Station, Rangreth, Srinagar 191 132, IN
Source
Current Science, Vol 119, No 6 (2020), Pagination: 910-911Abstract
No Abstract.Keywords
No Keywords.References
- Chavan, S. B. and Dhillon, R. S., Curr. Sci., 2019, 117, 219–225.
- Kumar, D. and Singh, N. B., For. Bull., 2012, 12, 9–14.
- Dhiman, R. C., For. Bull., 2012, 12, 15– 32.
- ICFRE, Country report on poplars and willows period: 2008 to 2011. National Poplar Commission of India, Indian Council of Forestry Research and Education, Dehradun, 2012.
- Chaturvedi, O. P., Promising Agroforestry Tree Species in India, Jhansi, Central Agroforestry Research Institute; Jhansi and New Delhi, South Asia Regional Programme, World Agroforestry Centre, 2017.
- India – Jammu and Kashmir and Haryana Social Forestry Project (English), World Bank, Washington, DC, USA, 1982; http://documents.worldbank.org/curated/en/ 531741468041672484/India-Jammu-and-Kashmir-and-Haryana-Social-Forestry-Project
- Dar, M. A., Sci. Rep., 2013, 4, 19–25.
- Tariq, S. and Khanna, D., In 24th Session of the International Poplar Commission, Dehradun, 30 October–2 November 2012.
- Bhat, G. H. et al., Indian For., 2013, 139, 995–998.
- Garcia-Mozo, et al., Aerobiologia, 2006, 22, 55–66.
- Hu, Y. et al., Grana, 2008, 47, 241–245.
- Administering agroforestry at the district level
Abstract Views :205 |
PDF Views:80
Authors
Affiliations
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India, IN
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India, IN
Source
Current Science, Vol 121, No 4 (2021), Pagination: 473-474Abstract
No Abstract.- Mapping of Agroforestry Systems and Salix Species in Western Himalaya Agroclimatic Zone of India
Abstract Views :181 |
PDF Views:114
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.
- Surge in neem tea mosquito bug incidence in India
Abstract Views :242 |
PDF Views:102
Authors
A. K. Handa
1,
Chhavi Sirohi
2,
A. Arunachalam
1,
S. S. Ramanan
1,
K. Rajarajan
1,
A. Krishna
3,
R. H. Kolse
4
Affiliations
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 Department of Forestry, CCS Haryana Agricultural University, Hisar 125 004, IN
3 Professor Jayashankar Telangana State Agricultural University, Hyderabad 500 030, IN
4 Mahatma Phule Krishi Vidyapeeth, Rahuri 413 722, IN
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 Department of Forestry, CCS Haryana Agricultural University, Hisar 125 004, IN
3 Professor Jayashankar Telangana State Agricultural University, Hyderabad 500 030, IN
4 Mahatma Phule Krishi Vidyapeeth, Rahuri 413 722, IN
Source
Current Science, Vol 122, No 6 (2022), Pagination: 651-651Abstract
No Abstract.Keywords
No keywordsReferences
- Handa, A. K. et al., Successful Agroforestry Models for Different Agro-Ecological Regions in India, Technical Bulletin, ICAR-Central Agroforestry Research Institute, Jhansi and World Agroforestry Centre, New Delhi, 2019.
- Arunachalam, A. et al., Agroforestry Systems for the Indian Himalayan Region, Technical Bulleting, Indian Council of Agricultural Research (ICAR), New Delhi, 2019, p. 19.
- Handa, A. K. et al., Agroforestry for Income Enhancement, Climate Resilience and Ecosystem Services, Technical Bulletin, ICAR, New Delhi, 2020, p. 30.
- Ahmed, S. I., Kumar, S. and Mathur, G., Ann. Entomol., 1999, 171, 27–32.
- Raju, T. and Puttaswamy, G. T., Environ. Ecol., 2003, 21(1), 222–226.
- Susaral, R., Tea mosquito bug infests neem trees in Rayalaseema. The Hindu, Anantpur, 27 November 2020.
- Bhoomi, V., Telangana: Tea mosquito bug causing neem trees to shrivel up. Indian Express, 27 October 2021; https://www.newindianexpress.com/states/telangana/2021/oct/27/telangana-tea-mosquito-bugcausing-neem-trees-to-shrivel-up-237619-9.html
- Sankarganesh, E., Lavanya Sravani, B., Rajeshwaran, B. and Mounika, M. N., J. Plant Health Issues, 2020, 1(1), 14–24.
- Ballard, E., Plant. Chron., 1921, 16, 489–491.
- Chhabra, M., Saini, B. and Dwivedi, G., Energy Sour., A: Rec. Utiliz. Environ. Effects, 2019, 43(10), 1–12.
- Productivity of wheat (Triticum aestivum L.) and soil fertility with poplar (Populus deltoides) agroforestry system in the semi-arid ecosystem of Haryana, India
Abstract Views :165 |
PDF Views:96
Authors
Affiliations
1 Department of Forestry, CCS Haryana Agricultural University, Hisar 125 004, IN
2 ICAR-National Institute of Abiotic Stress Management, Baramati 413 115, IN
3 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
1 Department of Forestry, CCS Haryana Agricultural University, Hisar 125 004, IN
2 ICAR-National Institute of Abiotic Stress Management, Baramati 413 115, IN
3 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
Source
Current Science, Vol 122, No 9 (2022), Pagination: 1072-1080Abstract
The diverse and multi-component nature of traditional agroforestry systems (AFS) provides them a unique edge over monoculture cropping, particularly in arid and semi-arid ecosystems due to their role in providing several ecosystem services (ES) in addition to their prime role in agricultural production. Appropriate selection of components and their management practices results in reduced competition for resources among the components and maximum capitalization of the interactions. Poplar-based AFS adopted in a big way by farmers in the Indo-Gangetic region of India has improved their economic status due to its high industrial value. The present study discusses the effect Populus deltoides as windbreak on yield of wheat as intercrop and soil nutrient status. We considered winter wheat varieties (WH-1105, WH-542, HD-2967, HD-943 and DPW-621-50) during two consecutive years (2013–15) delimited by a row of poplar trees in the east–west and north–south directions. Whereas effects on crop produce were limited for all wheat varieties with increasing distance from the tree line, considerable yield reductions were found near the tree line (treatments T1 and T2) for all the wheat varieties. The highest available soil N (365.2 kg ha–1), P (19.7 kg ha–1) and K (357.3 kg ha–1) were recorded near the tree line at a distance of 2 m. To optimize the provisioning service of poplar windbreak AFS, the cultivation of highly shade-tolerant wheat variety HD-2967 may be advisable over other varieties towards the end of the rotation of mature poplar trees.Keywords
Agroforestry, crop growth and yield, Populus deltoides, tree-based intercropping, wheat.References
- Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R. and Polasky, S., Agricultural sustainability and intensive production practices. Nature, 2002, 418, 671–677.
- Ray, D. K., Ramankutty, N., Mueller, N. D., West, P., Jonathan, C. and Foley, A., Recent patterns of crop yield growth and stagnation. Nature Commun., 2012, 3, 1293.
- Aurbacher, J., Parker, P. S., Calberto Sánchez, G. A., Steinbach, J., Reinmuth, E., Ingwersen, J. and Dabbert, S., Influence of climate change on short term management of field crops – a modelling approach. Agric. Syst., 2013, 119, 44–57.
- Dinesh, D., Campbell, B., Bonilla-Findji, O. and Richards, M., 10 best bet innovations for adaptation in agriculture: a supplement to the UNFCCC NAP technical guidelines. CCAFS Working Paper No. 215, CGIAR Research Programme on Climate Change, Agriculture and Food Security (CCAFS), Wageningen, The Netherland, 2017.
- Chavan, S. B., Newaj, R. and Rizvi, R. H., Reduction of global warming potential vis-à-vis greenhouse gases through traditional agroforestry systems in Rajasthan, India. Environ., Dev. Sustainab., 2020; doi:org/10.1007/s10668-020-00788-w
- Handa, A. K., Sirohi, C., Arunachalam, A. and Chavan, S. B., Agroforestry interventions for carbon sequestration and improving degraded lands. Climate Change Environ. Sustainab., 2020, 8, 3–12.
- Handa, A. K., Sirohi, C., Chavan, S. B., Dhillon, R. S., Ahlawat, K. S. and Rizvi, R. H., Agroforestry in Haryana: status and way forward. Indian J. Agrofor., 2020, 22, 1–10.
- Artu, S., Garre, S., Dupraz, C., Pierre Hiel, M., Frayret, B. C. and Lassois, L., Impact of spatio-temporal shade on crop growth and productivity, perspectives for Temperate Agroforestry. Eur. J. Agrofor., 2016, 82; doi:org/10.1016.j.eja.2016.10.004.
- Pardon, P. et al., Trees increase soil organic carbon and nutrient availability in temperate agroforestry systems. Agric. Ecosyst. Environ., 2017, 247, 98–111.
- Tsonkova, P., Böhm, C., Quinkenstein, A. and Freese, D., Ecological benefits provided by alley cropping systems for production of woody biomass in the temperate region: a review. Agrofor. Syst., 2012, 85, 133–152.
- Sirohi, C. and Bangarwa, K. S., Effect of different spacings of poplar-based agroforestry system on soil chemical properties and nutrient status in Haryana, India. Curr. Sci., 2017, 113, 1403– 1407.
- Zhang, W., Ahanbieke, P., Wang, B. J., Xu, W. L., Li, L. H., Christie, P. and Li, L., Root distribution and interactions in jujube tree/wheat agroforestry system. Agrofor. Syst., 2013, 87, 929–939.
- Yang, L., Ding, X., Liu, X., Li, P. and Eneji, A. E., Impacts of long term jujube tree/winter wheat–summer maize intercropping on soil fertility and economic efficiency – a case study in the lower North China Plain. Eur. J. Agron., 2016, 75, 105–117.
- ICFRE, Country report on poplars and willows period: 2012 to 2015. National Poplar Commission of India, Indian Council of Forestry Research and Education, Dehradun, 2016.
- Rizvi, R. H., Handa, A. K., Sridhar, K. B., Singh, R. K., Dhyan, 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; doi:org/10.1007/s10457-020-00540-3.
- Chavan, S. B. and Dhillon, R. S., Doubling farmers’ income through Populus deltoides-based agroforestry systems in northwestern India: an economic analysis. Curr. Sci., 2019, 117, 219– 226.
- Van Asten, P. J. A., Wairegi, L. W. I., Mukasa, D. and Uringi, N. O., Agronomic and economic benefits of coffee–banana intercropping in Uganda’s smallholder farming systems. Agric. Syst., 2011, 104, 326–334.
- Luedeling, E. et al., Field-scale modeling of tree–crop interactions: challenges and development needs. Agric. Syst., 2016, 142, 51–69.
- Subbiah, B. V. and Asija, G. L., A rapid procedure for the estimation of the available nitrogen in soils. Curr. Sci., 1956, 25, 259– 260.
- Walkley, A. and Black, I. A., An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci., 1934, 37, 29–37.
- Olsen, S. R., Cole, C. V. and Watanabe, F. S., Estimation of available phosphorus in soils by extraction with sodium bi-carbonate, United States Department of Agriculture Circular, 1954, p. 939.
- Jackson, M. L., Soil Chemical Analysis, Prentice Hall of India Pvt Ltd, New Delhi, 1973, p. 498.
- Borjesson, G., Menichetti, L., Thornton, B., Campbell, C. D. and Katterer, T., Seasonal dynamics of the soil microbial community: assimilation of old and young carbon sources in a long-term field experiment as revealed by natural 13C abundance. Eur. J. Soil Sci., 2016, 67, 79–89.
- Peichl, M., Thevathasan, N. V., Gordon, A. M., Huss, J. and Abohassanm, R. A., Carbon sequestration potentials in temperate tree-based intercropping systems, southern Ontario, Canada. Agrofor. Syst., 2006, 66, 243–257.
- Chauhan, S. K., Brar, M. S. and Sharma, R., Performance of poplar (Populus deltoides Bartr.) and its effect on wheat yield under agroforestry system in irrigated agro-ecosystem, India. Caspian J. Environ. Sci., 2012, 10, 53–60.
- Patel, A. D., Jadeja, H. R. and Pandey, A. N., Effect of soil salinity on growth, water status and nutrient accumulation in seedlings of Acacia auriculiformis (Fabaceae). J. Plant Nutr., 2010, 33, 914–932.
- 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.
- Gill, R. I. S., Singh, B. and Kaur, N., Productivity and nutrient uptake of newly released wheat varieties at different sowing times under poplar plantation in north–western India. Agrofor. Syst., 2009, 76, 579–590.
- Pardon, P. et al., Effects of temperate agroforestry on yield and quality of different arable Intercrops. Agric. Syst., 2018, 166, 135–151.
- Arenas-Corraliza, M. G., López-Díaz, M. L. and Moreno, G., Winter cereal production in a Mediterranean silvoarable walnut system in the face of climate change. Agric. Ecosyst. Environ., 2018, 264, 111–118.
- Mead, D. J., Scott, J. T. and Chang, S. X., Using vector analysis to understand temporal changes in understorey-tree competition in agroforestry systems. For. Ecol. Manage., 2010, 259, 1200–1211.
- Agroforestry in India: area estimates and methods
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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.References
- Coe, R., Sinclair, F. and Barrios, E., Curr. Opin. Environ. Sustain., 2014, 6, 73–77.
- Rosenstock, T. S. et al., Agric. Ecosyst. Environ., 2019, 284, 106569.
- Zomer, R. J. et al., Sci. Rep., 2016, 6, 29987.
- FAO, Global Forest Resources Assessment 2020, Food and Agriculture Organization of the United Nations, Rome, Italy, 2020.
- Dhyani, S. K. and Handa, A. K., Indian J. Agrofor., 2013, 15, 1–11.
- Rizvi, R. H., Dhyani, S. K., Newaj, R., Karmakar, P. S. and Saxena, A., Indian Farm., 2014, 63, 62–64.
- Vikrant, K. K., Chauhan, D. S., Rizvi, R. H. and Maurya, A., J. Indian Soc. Remote Sensing, 2018, 46, 1471–1480.
- Mahato, S., Dasgupta, S., Todaria, N. P., and Singh, V. P., Energy Ecol. Environ., 2016, 1, 86–97.
- Ahmad, T., Sahoo, P. M. and Jally, S. K., Agrofor. Syst., 2016, 90, 289–303.
- Ahmad, F., Uddin, M. M. and Goparaju, L., Agrofor. Syst., 2019, 93, 1319–1336.
- 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.
- FSI, India State Forest Report 2019, Forest Survey of India, Dehradun, 2019.
- GoI, Strategy for increasing green cover outside recorded forest areas. Expert Com-mittee Report submitted to the Ministry of Environment, Forest and Climate Change, Government of India, 2019.