Farmers' adoption of newly released climate-resilient rice varieties in the coastal ecosystem of Bangladesh: Effectiveness of a head-to-head adaptive trial

The adoption of newly released rice varieties in Bangladesh remains slow, particularly in coastal ecosystems, where multiple stressors reduce productivity. Limited knowledge transfer on climate‐resilient varieties has led farmers to favor traditional cultivars over newer ones. Head‐to‐Head Adaptive...

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Autores principales: Akter, Tahmina, Afrad, Md. Safiul Islam, Habib, Muhammad Ashraful, Zhang, Yating, Sarkar, Md Abdur Rouf, Nayak, Swati, Qin, Xiaodi, McKenzie, Andrew M., Kamal, Mohammed Zia Uddin
Formato: Journal Article
Lenguaje:Inglés
Publicado: Wiley 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/174448
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author Akter, Tahmina
Afrad, Md. Safiul Islam
Habib, Muhammad Ashraful
Zhang, Yating
Sarkar, Md Abdur Rouf
Nayak, Swati
Qin, Xiaodi
McKenzie, Andrew M.
Kamal, Mohammed Zia Uddin
author_browse Afrad, Md. Safiul Islam
Akter, Tahmina
Habib, Muhammad Ashraful
Kamal, Mohammed Zia Uddin
McKenzie, Andrew M.
Nayak, Swati
Qin, Xiaodi
Sarkar, Md Abdur Rouf
Zhang, Yating
author_facet Akter, Tahmina
Afrad, Md. Safiul Islam
Habib, Muhammad Ashraful
Zhang, Yating
Sarkar, Md Abdur Rouf
Nayak, Swati
Qin, Xiaodi
McKenzie, Andrew M.
Kamal, Mohammed Zia Uddin
author_sort Akter, Tahmina
collection Repository of Agricultural Research Outputs (CGSpace)
description The adoption of newly released rice varieties in Bangladesh remains slow, particularly in coastal ecosystems, where multiple stressors reduce productivity. Limited knowledge transfer on climate‐resilient varieties has led farmers to favor traditional cultivars over newer ones. Head‐to‐Head Adaptive Trials (HHATs) were introduced to promote the dissemination of improved varieties, but their effectiveness has not been fully assessed. This study evaluates farmers' trait preferences, varietal selection criteria, adoption patterns, key determinants, and the impact of HHATs on varietal adoption in coastal Bangladesh. HHATs were conducted in 2021–2022 and 2022–2023, with data collected from April to June 2023. Using purposive sampling, 50 participant farmers were selected, while 150 neighboring farmers were systematically sampled based on geographic proximity. Findings indicate that yield, taste, and resilience to salinity and drought were the most important traits influencing varietal selection. While farmers valued the superior grain quality and resilience of newer varieties, concerns over yield consistency and climate adaptability led many to continue adopting older varieties. HHATs created spillover effects, encouraging broader adoption among neighboring farmers. Education, farming as a primary occupation, income, commercial farming, extension services, training, social networks, seed access, grain quality, varietal resilience, and market price significantly influenced adoption, while age, low soil fertility, high input costs, and large landholdings were barriers. Propensity score matching analysis confirmed that HHATs increased adoption rates by 11.25%–17.71%, though limited seed distribution hindered widespread adoption. The study highlights the need for targeted policy measures to enhance seed access, extension services, and farmer support to scale up the adoption of climate‐resilient rice varieties.
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spelling CGSpace1744482025-12-02T10:59:51Z Farmers' adoption of newly released climate-resilient rice varieties in the coastal ecosystem of Bangladesh: Effectiveness of a head-to-head adaptive trial Akter, Tahmina Afrad, Md. Safiul Islam Habib, Muhammad Ashraful Zhang, Yating Sarkar, Md Abdur Rouf Nayak, Swati Qin, Xiaodi McKenzie, Andrew M. Kamal, Mohammed Zia Uddin climate resilience crop yield innovation adoption field trials farmer participation drought tolerance salt tolerance farming systems coastal areas soil fertility sustainable agriculture market prices social networks The adoption of newly released rice varieties in Bangladesh remains slow, particularly in coastal ecosystems, where multiple stressors reduce productivity. Limited knowledge transfer on climate‐resilient varieties has led farmers to favor traditional cultivars over newer ones. Head‐to‐Head Adaptive Trials (HHATs) were introduced to promote the dissemination of improved varieties, but their effectiveness has not been fully assessed. This study evaluates farmers' trait preferences, varietal selection criteria, adoption patterns, key determinants, and the impact of HHATs on varietal adoption in coastal Bangladesh. HHATs were conducted in 2021–2022 and 2022–2023, with data collected from April to June 2023. Using purposive sampling, 50 participant farmers were selected, while 150 neighboring farmers were systematically sampled based on geographic proximity. Findings indicate that yield, taste, and resilience to salinity and drought were the most important traits influencing varietal selection. While farmers valued the superior grain quality and resilience of newer varieties, concerns over yield consistency and climate adaptability led many to continue adopting older varieties. HHATs created spillover effects, encouraging broader adoption among neighboring farmers. Education, farming as a primary occupation, income, commercial farming, extension services, training, social networks, seed access, grain quality, varietal resilience, and market price significantly influenced adoption, while age, low soil fertility, high input costs, and large landholdings were barriers. Propensity score matching analysis confirmed that HHATs increased adoption rates by 11.25%–17.71%, though limited seed distribution hindered widespread adoption. The study highlights the need for targeted policy measures to enhance seed access, extension services, and farmer support to scale up the adoption of climate‐resilient rice varieties. 2025-03 2025-05-07T08:48:03Z 2025-05-07T08:48:03Z Journal Article https://hdl.handle.net/10568/174448 en Open Access application/pdf Wiley Akter, Tahmina, Md Safiul Islam Afrad, Muhammad Ashraful Habib, Yating Zhang, Md Abdur Rouf Sarkar, Swati Nayak, Xiaodi Qin, Andrew M. McKenzie, and Mohammed Zia Uddin Kamal. "Farmers' Adoption of Newly Released Climate‐Resilient Rice Varieties in the Coastal Ecosystem of Bangladesh: Effectiveness of a Head‐To‐Head Adaptive Trial." Food and Energy Security 14, no. 2 (2025): e70075.
spellingShingle climate resilience
crop yield
innovation adoption
field trials
farmer participation
drought tolerance
salt tolerance
farming systems
coastal areas
soil fertility
sustainable agriculture
market prices
social networks
Akter, Tahmina
Afrad, Md. Safiul Islam
Habib, Muhammad Ashraful
Zhang, Yating
Sarkar, Md Abdur Rouf
Nayak, Swati
Qin, Xiaodi
McKenzie, Andrew M.
Kamal, Mohammed Zia Uddin
Farmers' adoption of newly released climate-resilient rice varieties in the coastal ecosystem of Bangladesh: Effectiveness of a head-to-head adaptive trial
title Farmers' adoption of newly released climate-resilient rice varieties in the coastal ecosystem of Bangladesh: Effectiveness of a head-to-head adaptive trial
title_full Farmers' adoption of newly released climate-resilient rice varieties in the coastal ecosystem of Bangladesh: Effectiveness of a head-to-head adaptive trial
title_fullStr Farmers' adoption of newly released climate-resilient rice varieties in the coastal ecosystem of Bangladesh: Effectiveness of a head-to-head adaptive trial
title_full_unstemmed Farmers' adoption of newly released climate-resilient rice varieties in the coastal ecosystem of Bangladesh: Effectiveness of a head-to-head adaptive trial
title_short Farmers' adoption of newly released climate-resilient rice varieties in the coastal ecosystem of Bangladesh: Effectiveness of a head-to-head adaptive trial
title_sort farmers adoption of newly released climate resilient rice varieties in the coastal ecosystem of bangladesh effectiveness of a head to head adaptive trial
topic climate resilience
crop yield
innovation adoption
field trials
farmer participation
drought tolerance
salt tolerance
farming systems
coastal areas
soil fertility
sustainable agriculture
market prices
social networks
url https://hdl.handle.net/10568/174448
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