Rahman Niaz Md Farhat, Malik Waqas Ahmed, Baten Md Azizul, Kabir Md Shahjahan, Rahman Mohammad Chhiddikur, Ahmed Rokib, Hossain Abm Zahid, Hossain Md Mofazzel, Halder Tuhin, Bhuiyan Md Khairul Alam, Khan Mohammad Ashik Iqbal, Khan Raihanul Haque, Ahasan Nazmul, Piepho Hans-Peter
Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.
Biostatistics Unit, University of Hohenheim, Stuttgart, Germany.
J Sci Food Agric. 2024 Mar 15;104(4):2303-2313. doi: 10.1002/jsfa.13119. Epub 2023 Nov 25.
Enhancing productivity and profitability and reducing climatic risk are the major challenges for sustaining rice production. Extreme weather can have significant and varied effects on crops, influencing agricultural productivity, crop yields and food security.
In this study, a comparative evaluation of two crop management systems was performed involving farmers adopting a weather forecast-based advisory service (WFBAS) and usual farmers' practice (FP). WFBAS crop management followed the generated weather forecast-based advice whereas the control farmers (FP) did not receive any weather forecast-based advice, rather following their usual rice cultivation practices. The results of the experiments revealed that WFBAS farmers had a significant yield advantage over FP farmers. With the WFBAS technology, the farmers used inputs judiciously, utilized the benefit of favorable weather and minimized the risk resulting from extreme weather events. As a result, besides the yield enhancement, WFBAS provided a scope to protect the environment with the minimum residual effect of fertilizer and pesticides. It also reduced the pressure on groundwater by ensuring efficient water management. Finally, the farmers benefited from higher income through yield enhancement, reduction of the costs of production and reduction of risk.
A successful and extensive implementation of WFBAS in the rice production system would assist Bangladesh in achieving Sustainable Development Goal 2.4, which focuses on rice productivity and profitability of farmers as well as long-term food security of the country. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
提高生产力和盈利能力以及降低气候风险是维持水稻生产面临的主要挑战。极端天气会对作物产生重大且多样的影响，影响农业生产力、作物产量和粮食安全。
在本研究中，对两种作物管理系统进行了比较评估，其中一种是采用基于天气预报的咨询服务（WFBAS）的农户，另一种是采用常规农户做法（FP）的农户。WFBAS作物管理遵循基于生成的天气预报给出的建议，而对照农户（FP）未收到任何基于天气预报的建议，而是遵循他们常规的水稻种植做法。实验结果表明，采用WFBAS的农户比采用FP的农户具有显著的产量优势。借助WFBAS技术，农户明智地使用投入品，利用有利天气的益处，并将极端天气事件带来的风险降至最低。因此，除了提高产量外，WFBAS还提供了以最小的化肥和农药残留影响保护环境的空间。它还通过确保高效的水资源管理减轻了对地下水的压力。最后，农户通过提高产量、降低生产成本和降低风险获得了更高的收入。
在水稻生产系统中成功且广泛地实施WFBAS将有助于孟加拉国实现可持续发展目标2.4，该目标侧重于水稻生产力、农户盈利能力以及该国的长期粮食安全。© 2023作者。《食品与农业科学杂志》由约翰·威利父子有限公司代表化学工业协会出版。
