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 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.

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Publication Details

Journal
Nature Communications
Published
2024-09-27
DOI
https://doi.org/10.1038/s41467-024-52448-6
Citations
19
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
19.55
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article

Context-dependent agricultural intensification pathways to increase rice production in India

‪João Vasco Silva, Hari Sankar Nayak, A. K. Nayak, Peter Craufurd et al.
19 citations
Nature Communications
Climate change impacts on agriculture
19.55
article

Context-dependent agricultural intensification pathways to increase rice production in India

‪João Vasco Silva, Hari Sankar Nayak, A. K. Nayak, Peter Craufurd, Virender Kumar, Kindie Tesfaye, C.M. Parihar, Anton Urfels, Udham Singh Gautam, Andrew J. McDonald, Shantanu Kumar Dubey, Panneerselvam Peramaiyan, R. K. Malik, Shishpal Poonia
article en
19 citations

Abstract

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.

Nature CommunicationsVol. 15(1)
International Rice Research Institute (PH), Indian Council of Agricultural Research (IN), Cornell University (US), Centro Internacional de Mejoramiento de Maíz Y Trigo (MX), International Maize and Wheat Improvement Center (ET), International Maize and Wheat Improvement Center (BD), International Maize and Wheat Improvement Center (KE), International Maize and Wheat Improvement Center (IN), Indian Agricultural Research Institute (IN), Central Rice Research Institute (IN), Wageningen University & Research (NL)
Zero hunger
Openalex Percentile: Top 1%
Climate change impacts on agriculture
19.55
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