A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India
Limiting nitrogen pollution from crop production is essential for mitigating greenhouse gas emissions and protecting aquatic ecosystems while maintaining food security. Precision nitrogen management (PNM) provides a conceptual framework for achieving yield goals while maintaining nitrogen pollution...
| Autores principales: | , , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
IOP Publishing Ltd
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/179017 |
| _version_ | 1855530203518861312 |
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| author | Sherpa, Sonam Nayak, Hari Sankar Rossiter, David G. Craufurd, Peter Kritee, Kritee Kumar, Virender Paudel, Gokul Panneerselvam, Periyasamy Pathak, Himanshu Poonia, Shishpal P. Singh, Balwinder Urfels, Anton Van Es, Harold Mathijs Gautam, Udham Singh Malik, Ram Kanwar Mcdonald, Andrew |
| author_browse | Craufurd, Peter Gautam, Udham Singh Kritee, Kritee Kumar, Virender Malik, Ram Kanwar Mcdonald, Andrew Nayak, Hari Sankar Panneerselvam, Periyasamy Pathak, Himanshu Paudel, Gokul Poonia, Shishpal P. Rossiter, David G. Sherpa, Sonam Singh, Balwinder Urfels, Anton Van Es, Harold Mathijs |
| author_facet | Sherpa, Sonam Nayak, Hari Sankar Rossiter, David G. Craufurd, Peter Kritee, Kritee Kumar, Virender Paudel, Gokul Panneerselvam, Periyasamy Pathak, Himanshu Poonia, Shishpal P. Singh, Balwinder Urfels, Anton Van Es, Harold Mathijs Gautam, Udham Singh Malik, Ram Kanwar Mcdonald, Andrew |
| author_sort | Sherpa, Sonam |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Limiting nitrogen pollution from crop production is essential for mitigating greenhouse gas emissions and protecting aquatic ecosystems while maintaining food security. Precision nitrogen management (PNM) provides a conceptual framework for achieving yield goals while maintaining nitrogen pollution within planetary boundaries by matching fertilizer rates to specific production conditions. Nevertheless, PNM strategies for smallholder contexts like India, a global nitrogen pollution hotspot, have proven costly to implement and are often ineffective. By combining survey data of production practices from 8705 wheat fields with digital soil mapping, we develop a novel PNM strategy that ‘learns from landscapes’ to generate and evaluate novel decision logic for nitrogen management. With this approach, ex-ante simulations indicate that reductions of 9% in nitrogen use and 16% in N2O emissions can be achieved without compromising yields, saving US$ 28 million per year in subsidies for the Indian state of Bihar alone. In contrast, conventional soil test-based recommendations may increase nitrogen use by 5% without corresponding yield gains. Our method that leverages large-n survey data and predictive modeling may provide a scalable pathway for PNM in similarly complex crop production environments where field and management heterogeneity is high. |
| format | Journal Article |
| id | CGSpace179017 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | IOP Publishing Ltd |
| publisherStr | IOP Publishing Ltd |
| record_format | dspace |
| spelling | CGSpace1790172025-12-19T02:10:23Z A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India Sherpa, Sonam Nayak, Hari Sankar Rossiter, David G. Craufurd, Peter Kritee, Kritee Kumar, Virender Paudel, Gokul Panneerselvam, Periyasamy Pathak, Himanshu Poonia, Shishpal P. Singh, Balwinder Urfels, Anton Van Es, Harold Mathijs Gautam, Udham Singh Malik, Ram Kanwar Mcdonald, Andrew nitrogen pollution greenhouse gas emissions precision agriculture nitrogen-use efficiency decision support food security smallholders wheat Limiting nitrogen pollution from crop production is essential for mitigating greenhouse gas emissions and protecting aquatic ecosystems while maintaining food security. Precision nitrogen management (PNM) provides a conceptual framework for achieving yield goals while maintaining nitrogen pollution within planetary boundaries by matching fertilizer rates to specific production conditions. Nevertheless, PNM strategies for smallholder contexts like India, a global nitrogen pollution hotspot, have proven costly to implement and are often ineffective. By combining survey data of production practices from 8705 wheat fields with digital soil mapping, we develop a novel PNM strategy that ‘learns from landscapes’ to generate and evaluate novel decision logic for nitrogen management. With this approach, ex-ante simulations indicate that reductions of 9% in nitrogen use and 16% in N2O emissions can be achieved without compromising yields, saving US$ 28 million per year in subsidies for the Indian state of Bihar alone. In contrast, conventional soil test-based recommendations may increase nitrogen use by 5% without corresponding yield gains. Our method that leverages large-n survey data and predictive modeling may provide a scalable pathway for PNM in similarly complex crop production environments where field and management heterogeneity is high. 2025-12 2025-12-18T20:31:26Z 2025-12-18T20:31:26Z Journal Article https://hdl.handle.net/10568/179017 en Open Access application/pdf IOP Publishing Ltd Sherpa, S., Nayak, H. S., Rossiter, D. G., Craufurd, P. Q., Kritee, K., Kumar, V., Paudel, G., Peramaiyan, P., Pathak, H., Poonia, S., Singh, B., Urfels, A., Van Es, H., Gautam, U. S., Malik, R., & McDonald, A. J. (2025). A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India. Environmental Research Food Systems, 2(4), 045007. https://doi.org/10.1088/2976-601x/ae1839 |
| spellingShingle | nitrogen pollution greenhouse gas emissions precision agriculture nitrogen-use efficiency decision support food security smallholders wheat Sherpa, Sonam Nayak, Hari Sankar Rossiter, David G. Craufurd, Peter Kritee, Kritee Kumar, Virender Paudel, Gokul Panneerselvam, Periyasamy Pathak, Himanshu Poonia, Shishpal P. Singh, Balwinder Urfels, Anton Van Es, Harold Mathijs Gautam, Udham Singh Malik, Ram Kanwar Mcdonald, Andrew A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India |
| title | A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India |
| title_full | A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India |
| title_fullStr | A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India |
| title_full_unstemmed | A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India |
| title_short | A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India |
| title_sort | data driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in india |
| topic | nitrogen pollution greenhouse gas emissions precision agriculture nitrogen-use efficiency decision support food security smallholders wheat |
| url | https://hdl.handle.net/10568/179017 |
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