Evidence map›Paper›PMID 42054427›Full record

ArticlePloS one2026

Climate adaptation through farmer choice: Understanding preferences for rice varieties in coastal Bangladesh.

Jaba Rani Sarker, John Rolfe, Jayanath Ananda

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jaba Rani SarkerSchool of Business and Law, Central Queensland University, Rockhampton, Queensland, Australia.ORCID https://orcid.org/0000-0003-1589-6842
John RolfeSchool of Business and Law, Central Queensland University, Rockhampton, Queensland, Australia.ORCID https://orcid.org/0000-0001-7659-7040
Jayanath AnandaSchool of Business and Law, Central Queensland University, Melbourne Victoria, Australia.ORCID https://orcid.org/0000-0002-4072-6725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of environmental issues on agricultural livelihoods in Bangladesh's coastal regions-where traditional rice varieties are susceptible to salinity-is best illustrated by climate change-induced saltwater intrusion. Smallholder farmers have yet to adopt salt-tolerant rice varieties, despite the fact that they provide a technological intervention for climate adaptation. This underscores the disconnect between agricultural innovation and practical application. Farmers' preferences for implementing these climate-resilient varieties are investigated in this study using a discrete choice experiment, which also looks at how contextual, institutional, and socio-economic factors influence technology adoption choices. Utilizing Random Parameter Logit and Latent Class Models, findings reveal three distinct farmer segments with varying willingness to pay for salt-tolerant varieties, influenced by age, savings, and land size. Post-hoc chi-square analysis reveals these preference segments are distributed evenly across districts (p = 0.822), indicating preference heterogeneity reflects individual-level differences rather than geographic salinity patterns. Each class from LCM represents the choice responses quite differently with different attributes. The majority of respondents belong to class 3 (46.5%), followed by class 1 (33.2%) and class 2 (20.3%). The largest group (46.5%) demonstrates strong preference for salt-tolerant varieties, while others prioritize different combinations of yield, profitability, and labor considerations. These results suggest that agricultural extension programs should implement differentiated strategies targeting each farmer segment, with subsidized seed distribution for resource-constrained farmers, demonstration plots for risk-averse adopters, and premium variety options for profit-oriented farmers. By highlighting the significance of context-specific approaches to promoting climate-resilient agricultural technologies and informing targeted policy interventions, these insights enable vulnerable coastal communities to achieve their broader development goals, including poverty alleviation, climate adaptation, and sustainable agricultural transformation.

Indexed as

Choice BehaviorClimate ChangeFarmersOryzaAgricultureBangladeshHumans

Identifiers

PMID42054427
PMCPMC13128132

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.