Context-dependent agricultural intensification pathways to increase rice production in India
Yield gap analysis is used to characterize the untapped production potential of cropping systems. With emerging large-n agronomic datasets and data science methods, pathways for narrowing yield gaps can be identified that provide actionable insights into where and how cropping systems can be sustain...
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Nature Publishing Group
2024
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| Acceso en línea: | https://hdl.handle.net/10568/158502 |
| _version_ | 1855526759023247360 |
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| author | Hari S. Nayak McDonald, Andrew J. Kumar, Virender Craufurd, Peter Q. Dubey, Shantanu Kumar Nayak, Amaresh Kumar Parihar, Chiter Mal Panneerselvam, Peramaiyan Poonia, Shishpal Fantaye, Kindie Tesfaye Malik, Ram K. Urfels, Anton Gautam, Udham Singh Silva, João Vasco |
| author_browse | Craufurd, Peter Q. Dubey, Shantanu Kumar Fantaye, Kindie Tesfaye Gautam, Udham Singh Hari S. Nayak Kumar, Virender Malik, Ram K. McDonald, Andrew J. Nayak, Amaresh Kumar Panneerselvam, Peramaiyan Parihar, Chiter Mal Poonia, Shishpal Silva, João Vasco Urfels, Anton |
| author_facet | Hari S. Nayak McDonald, Andrew J. Kumar, Virender Craufurd, Peter Q. Dubey, Shantanu Kumar Nayak, Amaresh Kumar Parihar, Chiter Mal Panneerselvam, Peramaiyan Poonia, Shishpal Fantaye, Kindie Tesfaye Malik, Ram K. Urfels, Anton Gautam, Udham Singh Silva, João Vasco |
| author_sort | Hari S. Nayak |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Yield gap analysis is used to characterize the untapped production potential of cropping systems. With emerging large-n agronomic datasets and data science methods, pathways for narrowing yield gaps can be identified that provide actionable insights into where and how cropping systems can be sustainably intensified. Here we characterize the contributing factors to rice yield gaps across seven Indian states, with a case study region used to assess the power of intervention targeting. Primary yield constraints in the case study region were nitrogen and irrigation, but scenario analysis suggests modest average yield gains with universal adoption of higher nitrogen rates. When nitrogen limited fields are targeted for practice change (47% of the sample), yield gains are predicted to double. When nitrogen and irrigation co-limitations are targeted (20% of the sample), yield gains more than tripled. Results suggest that analytics-led strategies for crop intensification can generate transformative advances in productivity, profitability, and environmental outcomes. |
| format | Journal Article |
| id | CGSpace158502 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Nature Publishing Group |
| publisherStr | Nature Publishing Group |
| record_format | dspace |
| spelling | CGSpace1585022025-11-12T04:57:45Z Context-dependent agricultural intensification pathways to increase rice production in India Hari S. Nayak McDonald, Andrew J. Kumar, Virender Craufurd, Peter Q. Dubey, Shantanu Kumar Nayak, Amaresh Kumar Parihar, Chiter Mal Panneerselvam, Peramaiyan Poonia, Shishpal Fantaye, Kindie Tesfaye Malik, Ram K. Urfels, Anton Gautam, Udham Singh Silva, João Vasco rice production yield gap cropping systems agricultural productivity agronomy profitability nitrogen-use efficiency irrigation datasets Yield gap analysis is used to characterize the untapped production potential of cropping systems. With emerging large-n agronomic datasets and data science methods, pathways for narrowing yield gaps can be identified that provide actionable insights into where and how cropping systems can be sustainably intensified. Here we characterize the contributing factors to rice yield gaps across seven Indian states, with a case study region used to assess the power of intervention targeting. Primary yield constraints in the case study region were nitrogen and irrigation, but scenario analysis suggests modest average yield gains with universal adoption of higher nitrogen rates. When nitrogen limited fields are targeted for practice change (47% of the sample), yield gains are predicted to double. When nitrogen and irrigation co-limitations are targeted (20% of the sample), yield gains more than tripled. Results suggest that analytics-led strategies for crop intensification can generate transformative advances in productivity, profitability, and environmental outcomes. 2024-09-27 2024-11-04T17:40:13Z 2024-11-04T17:40:13Z Journal Article https://hdl.handle.net/10568/158502 en Open Access application/pdf Nature Publishing Group Nayak, H. S., McDonald, A. J., Kumar, V., Craufurd, P., Dubey, S. K., Nayak, A. K., Parihar, C. M., Peramaiyan, P., Poonia, S., Tesfaye, K., Malik, R. K., Urfels, A., Gautam, U. S., & Silva, J. V. (2024). Context-dependent agricultural intensification pathways to increase rice production in India. Nature Communications, 15, 8403. https://doi.org/10.1038/s41467-024-52448-6 |
| spellingShingle | rice production yield gap cropping systems agricultural productivity agronomy profitability nitrogen-use efficiency irrigation datasets Hari S. Nayak McDonald, Andrew J. Kumar, Virender Craufurd, Peter Q. Dubey, Shantanu Kumar Nayak, Amaresh Kumar Parihar, Chiter Mal Panneerselvam, Peramaiyan Poonia, Shishpal Fantaye, Kindie Tesfaye Malik, Ram K. Urfels, Anton Gautam, Udham Singh Silva, João Vasco Context-dependent agricultural intensification pathways to increase rice production in India |
| title | Context-dependent agricultural intensification pathways to increase rice production in India |
| title_full | Context-dependent agricultural intensification pathways to increase rice production in India |
| title_fullStr | Context-dependent agricultural intensification pathways to increase rice production in India |
| title_full_unstemmed | Context-dependent agricultural intensification pathways to increase rice production in India |
| title_short | Context-dependent agricultural intensification pathways to increase rice production in India |
| title_sort | context dependent agricultural intensification pathways to increase rice production in india |
| topic | rice production yield gap cropping systems agricultural productivity agronomy profitability nitrogen-use efficiency irrigation datasets |
| url | https://hdl.handle.net/10568/158502 |
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