Shirsath Paresh B, Jat M L, McDonald A J, Srivastava Amit K, Craufurd Peter, Rana D S, Singh A K, Chaudhari S K, Sharma P C, Singh Rajbir, Jat H S, Sidhu H S, Gerard B, Braun Hans
International Maize and Wheat Improvement Center (CIMMYT), NASC Complex, Pusa, New Delhi 110012, India.
CGIAR Research Program on Climate Change, Agriculture & Food Security (CCAFS), BISA, CIMMYT, New Delhi 110012, India.
Agric Syst. 2020 Nov;185:102954. doi: 10.1016/j.agsy.2020.102954. Epub 2020 Sep 21.
To contain the COVID-19 pandemic, India imposed a national lockdown at the end of March 2020, a decision that resulted in a massive reverse migration as many workers across economic sectors returned to their home regions. Migrants provide the foundations of the agricultural workforce in the 'breadbasket' states of Punjab and Haryana in Northwest India.There are mounting concerns that near and potentially longer-term reductions in labor availability may jeopardize agricultural production and consequently national food security. The timing of rice transplanting at the beginning of the summer monsoon season has a cascading influence on productivity of the entire rice-wheat cropping system. To assess the potential for COVID-related reductions in the agriculture workforce to disrupt production of the dominant rice-wheat cropping pattern in these states, we use a spatial modelling framework to evaluate four scenarios representing a range of plausible labor constraints on the timing of rice transplanting. Averaged over both states, results suggest that rice productivity losses under all delay scenarios would be low as compare to those for wheat, with total system productivity loss estimates ranging from 9%, to 21%, equivalent to economic losses of USD $674 m to $1.48 billion. Late rice transplanting and harvesting can also aggravate winter air pollution with concomitant health risks. Technological options such as direct seeded rice, staggered nursery transplanting, and crop diversification away from rice can help address these challenges but require new approaches to policy and incentives for change.
为控制新冠疫情,印度于2020年3月底实施全国封锁,这一决定导致大量劳动力逆向迁移,许多经济部门的工人返回原籍地区。在印度西北部的旁遮普邦和哈里亚纳邦这些“产粮区”,外来务工人员构成了农业劳动力的基础。人们越来越担心,近期以及可能出现的长期劳动力供应减少可能危及农业生产,进而影响国家粮食安全。夏季季风季节开始时的水稻移栽时间对整个稻麦种植系统的生产力有连锁影响。为评估与新冠疫情相关的农业劳动力减少可能扰乱这些邦主要稻麦种植模式生产的可能性,我们使用一个空间建模框架来评估四种情景,这些情景代表了水稻移栽时间方面一系列合理的劳动力限制。在这两个邦的平均结果表明,与小麦相比,所有延迟情景下的水稻生产力损失都较低,整个系统的生产力损失估计在9%至21%之间,相当于6.74亿美元至14.8亿美元的经济损失。晚稻移栽和收获还会加剧冬季空气污染,并带来相应的健康风险。诸如直播水稻、错开秧苗移栽以及作物种植多样化不再种植水稻等技术选择有助于应对这些挑战,但需要新的政策方法和变革激励措施。