Multi-criteria assessment of climate smartness in rice-based cropping systems

Kiran Kumar Mohapatra , Amaresh Kumar Nayak , Ranjan Kumar Patra , Rahul Tripathi , Chinmaya Kumar Swain , Prasannajit Mishra , Manoranjan Satapathy , Rasu Eeswaran , Saheed Garnaik
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Abstract

Rice is one of the major staple food grains in the world and because of its higher water requirement, rice production is heavily threatened by climate change and extremes. As global warming and climate variabilities increasingly affect most of the rice growing regions including India, it is vital to introduce alternative options to rice-rice monocropping. To address this issue, we developed a climate smart index (CSI) to evaluate the climate smartness of different cropping systems such as, rice-sunflower (R-S), rice-maize (R-M), rice-black gram (R-BG) and rice-green gram (R-GG) compared to a conventional rice-rice (R-R) system grown in the eastern coastal belt of India. Diversifying rice-based cropping systems with legumes and sunflower significantly enhanced system productivity and the partial factor productivity of nitrogen by 33–41% and 40–45%, respectively over the rice-rice cropping system. Further, these systems reduced the global warming potential (GWP) by 46.3–51% compared to the rice-rice system. The soil organic carbon content increased by about 5–7 % due to the adoption of pulse crops. The climate-smart index for rice-sunflower (R-S), rice-black gram (R-BG), rice-green gram (R-GG), and rice-maize (R-M) systems were found to be higher than the rice-rice (R-R) system by 26.5%, 18.7%, 18.7%, and 14.9% respectively, on average across seasons. Hence, incorporating legumes and oilseed crops during the dry/minor seasons of the year in rice-based cropping systems can be proposed as a climate-smart alternative. Further, we propose conducting large-scale assessments of these cropping systems using spatial data to deliver decision tools for regional planning and policy formulation in agriculture.

Abstract Image

水稻种植系统气候适应性的多准则评估
水稻是世界上主要的粮食作物之一,由于其需水量较高,水稻生产受到气候变化和极端天气的严重威胁。随着全球变暖和气候变化对包括印度在内的大多数水稻种植区的影响越来越大,引入水稻-水稻单一种植的替代方案至关重要。为了解决这个问题,我们开发了一个气候智能指数(CSI)来评估不同种植系统的气候智能度,如水稻-向日葵(R-S)、水稻-玉米(R-M)、水稻-黑克(R-BG)和水稻-绿克(R-GG),与印度东部沿海地区种植的传统水稻-水稻(R-R)系统进行比较。以豆科植物和向日葵为基础的水稻多样化种植制度显著提高了系统生产力和氮的偏因子生产力,分别比水稻-水稻种植制度提高了33-41%和40-45%。此外,与水稻-水稻系统相比,这些系统降低了全球变暖潜势(GWP) 46.3-51%。由于采用脉冲作物,土壤有机碳含量增加了约5 - 7%。水稻-向日葵(R-S)、水稻-黑克(R-BG)、水稻-绿克(R-GG)和水稻-玉米(R-M)系统的气候智能指数比水稻-水稻(R-R)系统的季节平均分别高出26.5%、18.7%、18.7%和14.9%。因此,可以将豆类和油籽作物在一年中的旱季/小季纳入以水稻为基础的种植系统中,作为一种气候智能型的替代方案。此外,我们建议利用空间数据对这些种植制度进行大规模评估,为区域规划和农业政策制定提供决策工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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