The optimization of conservation agriculture practices requires attention to location-specific performance: Evidence from large scale gridded simulations across South Asia
The ways in which farmers implement conservation agricultural (CA) practices – which entail reduced tillage, maintenance of soil cover, and crop rotations – varies considerably in different environments, farming systems, and by the intensity with which farmers administer management practices. Such variability requires an efficient tool to evaluate the cost-benefit of CA, to inform agricultural policymakers and development priorities to facilitate expanded use of CA under appropriate circumstances. Rice-wheat rotation is the principal production system in South Asia (SA). Research has shown that CA can be promising in this rotation because of improved irrigated water, energy, and labor use efficiencies, in addition to the reduction in atmospheric pollution and potentially long term improvements in soil quality. Yield responses to CA are however varying across studies and regions. With a nine-year rice-wheat CA experiment in Eastern Gangetic Plains of South Asia, this study parameterizes the Environmental Policy Climate (EPIC) model to simulate five CA and conventional managements on the RW cropping system. Information from geospatial datasets and farm surveys were used to parameterize the model at the regional scale, increasing the management flexibility and range of localities in the simulation. Yield potential of the CAs in the whole SA was thereby explored by utilizing the model with various management strategies. Our results demonstrate how geospatial and survey data, along with calibration by a long-term experiment, can supplement a regional simulation to increase the model's ability to capture yield patterns. Yield gains from CA are widespread but generally low under current management regimes, with varied yield responses among CAs and environments. Conversely, CA has considerable potential in SA to increase rice-wheat productivity by up to 38%. Our results highlight the importance of applying an adaptive definition of CA, depending on environmental circumstances, while also building the capacity of farmers interested in CA to apply optimal management practices appropriate for their environment.
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2022
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Rice-Wheat Systems, Environmental Policy Integrated Climate, Gridded Crop Model, Spatial Optimization, RICE, WHEAT, CONSERVATION AGRICULTURE, YIELD POTENTIAL, |
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dig-cimmyt-10883-220252024-01-23T16:11:01Z The optimization of conservation agriculture practices requires attention to location-specific performance: Evidence from large scale gridded simulations across South Asia Tianning Zhang Wei Xiong Sapkota, T.B. Jat, M.L. Montes, C. Krupnik, T.J. Jat, R.K. Karki, S. Nayak, H. Faisal, A. Jat, H.S. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Rice-Wheat Systems Environmental Policy Integrated Climate Gridded Crop Model Spatial Optimization RICE WHEAT CONSERVATION AGRICULTURE YIELD POTENTIAL The ways in which farmers implement conservation agricultural (CA) practices – which entail reduced tillage, maintenance of soil cover, and crop rotations – varies considerably in different environments, farming systems, and by the intensity with which farmers administer management practices. Such variability requires an efficient tool to evaluate the cost-benefit of CA, to inform agricultural policymakers and development priorities to facilitate expanded use of CA under appropriate circumstances. Rice-wheat rotation is the principal production system in South Asia (SA). Research has shown that CA can be promising in this rotation because of improved irrigated water, energy, and labor use efficiencies, in addition to the reduction in atmospheric pollution and potentially long term improvements in soil quality. Yield responses to CA are however varying across studies and regions. With a nine-year rice-wheat CA experiment in Eastern Gangetic Plains of South Asia, this study parameterizes the Environmental Policy Climate (EPIC) model to simulate five CA and conventional managements on the RW cropping system. Information from geospatial datasets and farm surveys were used to parameterize the model at the regional scale, increasing the management flexibility and range of localities in the simulation. Yield potential of the CAs in the whole SA was thereby explored by utilizing the model with various management strategies. Our results demonstrate how geospatial and survey data, along with calibration by a long-term experiment, can supplement a regional simulation to increase the model's ability to capture yield patterns. Yield gains from CA are widespread but generally low under current management regimes, with varied yield responses among CAs and environments. Conversely, CA has considerable potential in SA to increase rice-wheat productivity by up to 38%. Our results highlight the importance of applying an adaptive definition of CA, depending on environmental circumstances, while also building the capacity of farmers interested in CA to apply optimal management practices appropriate for their environment. 2022-03-19T01:25:16Z 2022-03-19T01:25:16Z 2022 Article Published Version https://hdl.handle.net/10883/22025 10.1016/j.fcr.2022.108508 English Nutrition, health & food security Transforming Agrifood Systems in South Asia Resilient Agrifood Systems United States Agency for International Development (USAID) CGIAR Trust Fund Bill & Melinda Gates Foundation (BMGF) Indian Council of Agricultural Research (ICAR) https://hdl.handle.net/10568/126726 CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose Open Access South Asia Amsterdam (Netherlands) Elsevier 282 0378-4290 Field Crops Research 108508 |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Rice-Wheat Systems Environmental Policy Integrated Climate Gridded Crop Model Spatial Optimization RICE WHEAT CONSERVATION AGRICULTURE YIELD POTENTIAL AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Rice-Wheat Systems Environmental Policy Integrated Climate Gridded Crop Model Spatial Optimization RICE WHEAT CONSERVATION AGRICULTURE YIELD POTENTIAL |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Rice-Wheat Systems Environmental Policy Integrated Climate Gridded Crop Model Spatial Optimization RICE WHEAT CONSERVATION AGRICULTURE YIELD POTENTIAL AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Rice-Wheat Systems Environmental Policy Integrated Climate Gridded Crop Model Spatial Optimization RICE WHEAT CONSERVATION AGRICULTURE YIELD POTENTIAL Tianning Zhang Wei Xiong Sapkota, T.B. Jat, M.L. Montes, C. Krupnik, T.J. Jat, R.K. Karki, S. Nayak, H. Faisal, A. Jat, H.S. The optimization of conservation agriculture practices requires attention to location-specific performance: Evidence from large scale gridded simulations across South Asia |
description |
The ways in which farmers implement conservation agricultural (CA) practices – which entail reduced tillage, maintenance of soil cover, and crop rotations – varies considerably in different environments, farming systems, and by the intensity with which farmers administer management practices. Such variability requires an efficient tool to evaluate the cost-benefit of CA, to inform agricultural policymakers and development priorities to facilitate expanded use of CA under appropriate circumstances. Rice-wheat rotation is the principal production system in South Asia (SA). Research has shown that CA can be promising in this rotation because of improved irrigated water, energy, and labor use efficiencies, in addition to the reduction in atmospheric pollution and potentially long term improvements in soil quality. Yield responses to CA are however varying across studies and regions. With a nine-year rice-wheat CA experiment in Eastern Gangetic Plains of South Asia, this study parameterizes the Environmental Policy Climate (EPIC) model to simulate five CA and conventional managements on the RW cropping system. Information from geospatial datasets and farm surveys were used to parameterize the model at the regional scale, increasing the management flexibility and range of localities in the simulation. Yield potential of the CAs in the whole SA was thereby explored by utilizing the model with various management strategies. Our results demonstrate how geospatial and survey data, along with calibration by a long-term experiment, can supplement a regional simulation to increase the model's ability to capture yield patterns. Yield gains from CA are widespread but generally low under current management regimes, with varied yield responses among CAs and environments. Conversely, CA has considerable potential in SA to increase rice-wheat productivity by up to 38%. Our results highlight the importance of applying an adaptive definition of CA, depending on environmental circumstances, while also building the capacity of farmers interested in CA to apply optimal management practices appropriate for their environment. |
format |
Article |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Rice-Wheat Systems Environmental Policy Integrated Climate Gridded Crop Model Spatial Optimization RICE WHEAT CONSERVATION AGRICULTURE YIELD POTENTIAL |
author |
Tianning Zhang Wei Xiong Sapkota, T.B. Jat, M.L. Montes, C. Krupnik, T.J. Jat, R.K. Karki, S. Nayak, H. Faisal, A. Jat, H.S. |
author_facet |
Tianning Zhang Wei Xiong Sapkota, T.B. Jat, M.L. Montes, C. Krupnik, T.J. Jat, R.K. Karki, S. Nayak, H. Faisal, A. Jat, H.S. |
author_sort |
Tianning Zhang |
title |
The optimization of conservation agriculture practices requires attention to location-specific performance: Evidence from large scale gridded simulations across South Asia |
title_short |
The optimization of conservation agriculture practices requires attention to location-specific performance: Evidence from large scale gridded simulations across South Asia |
title_full |
The optimization of conservation agriculture practices requires attention to location-specific performance: Evidence from large scale gridded simulations across South Asia |
title_fullStr |
The optimization of conservation agriculture practices requires attention to location-specific performance: Evidence from large scale gridded simulations across South Asia |
title_full_unstemmed |
The optimization of conservation agriculture practices requires attention to location-specific performance: Evidence from large scale gridded simulations across South Asia |
title_sort |
optimization of conservation agriculture practices requires attention to location-specific performance: evidence from large scale gridded simulations across south asia |
publisher |
Elsevier |
publishDate |
2022 |
url |
https://hdl.handle.net/10883/22025 |
work_keys_str_mv |
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