Sustaining rice productivity through weather-resilient agricultural practices.

WFBAS climate change crop management system rice sustainability weather-smart rice farming

Journal

Journal of the science of food and agriculture
ISSN: 1097-0010
Titre abrégé: J Sci Food Agric
Pays: England
ID NLM: 0376334

Informations de publication

Date de publication:
10 Nov 2023
Historique:
revised: 07 11 2023
received: 22 09 2023
accepted: 10 11 2023
pubmed: 10 11 2023
medline: 10 11 2023
entrez: 10 11 2023
Statut: aheadofprint

Résumé

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.

Sections du résumé

BACKGROUND BACKGROUND
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.
RESULTS RESULTS
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.
CONCLUSION CONCLUSIONS
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.

Identifiants

pubmed: 37947769
doi: 10.1002/jsfa.13119
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Deutsche Forschungsgemeinschaft
Organisme : United States Agency for International Development

Informations de copyright

© 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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Auteurs

Niaz Md Farhat Rahman (NMF)

Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Waqas Ahmed Malik (WA)

Biostatistics Unit, University of Hohenheim, Stuttgart, Germany.

Md Azizul Baten (MA)

Shahjalal University of Science and Technology, Sylhet, Bangladesh.

Md Shahjahan Kabir (MS)

Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Mohammad Chhiddikur Rahman (MC)

Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Rokib Ahmed (R)

Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Abm Zahid Hossain (AZ)

Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Md Mofazzel Hossain (MM)

Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Tuhin Halder (T)

Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Md Khairul Alam Bhuiyan (MKA)

Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Mohammad Ashik Iqbal Khan (MAI)

Agrometeorology and Crop Modeling Laboratory, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh.

Raihanul Haque Khan (RH)

Regional Integrated Multi Hazard Early Warning System (RIMES), Dhaka, Bangladesh.

Nazmul Ahasan (N)

Regional Integrated Multi Hazard Early Warning System (RIMES), Dhaka, Bangladesh.

Hans-Peter Piepho (HP)

Biostatistics Unit, University of Hohenheim, Stuttgart, Germany.

Classifications MeSH