School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.
International Rice Research Institute (IRRI), Los Banos, Philippines.
Nat Commun. 2024 Sep 27;15(1):8403. doi: 10.1038/s41467-024-52448-6.
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.
产量差距分析用于描述作物系统未开发的生产潜力。随着新兴的大型农学数据集和数据科学方法的出现，可以确定缩小产量差距的途径，为作物系统如何可持续地集约化提供切实可行的见解。在这里，我们描述了印度七个邦的水稻产量差距的影响因素，并用一个案例研究区域来评估干预目标的效果。案例研究区域的主要产量限制因素是氮和灌溉，但情景分析表明，普遍采用更高的氮素率可以适度提高平均产量。当针对实践改变的氮限制田地（样本的 47%）进行目标定位时，预计产量将增加一倍。当氮和灌溉共同限制（样本的 20%）进行目标定位时，产量增加三倍以上。结果表明，以分析为导向的作物集约化战略可以在生产力、盈利能力和环境成果方面带来变革性的进步。
