Evidence map›Paper›PMID 42120517›Full record

ArticleScientific reports2026

Understanding rice farmers' fertilizer application behavior to advance sustainable agricultural practices in Bangladesh: insights from the extended KAP model.

Md Hayder Khan Sujan, Yutao Jiao, Md Ali Akber, Md Abdur Rouf Sarkar, Andrew M McKenzie, Mominul Haque Rabin, Monira Sultana, Ammar Abdul Aziz

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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Md Hayder Khan SujanDepartment of Development and Poverty Studies, Sher-e-Bangla Agricultural University, Dhaka, 1207, Bangladesh.
Yutao JiaoSchool of Economics and Trade, Zhongnan University of Economics and Law, Wuhan, 430073, China. jytzuel@163.com.
Md Ali AkberSchool of Agriculture and Food Sustainability, The University of Queensland, Gatton, QLD, 4343, Australia.
Md Abdur Rouf SarkarSchool of Economics, Zhongnan University of Economics and Law, Wuhan, 430073, China.
Andrew M McKenzieDepartment of Agricultural Economics and Agribusiness, The University of Arkansas, Fayetteville, AR, 72701, USA.
Mominul Haque RabinDepartment of Agricultural Chemistry, Sher-e-Bangla Agricultural University, Dhaka, 1207, Bangladesh.
Monira SultanaSchool of Agriculture and Food Sustainability, The University of Queensland, Gatton, QLD, 4343, Australia.
Ammar Abdul AzizSchool of Agriculture and Food Sustainability, The University of Queensland, Gatton, QLD, 4343, Australia.

Funding

Ministry of Science and Technology, Government of the People's Republic of Bangladesh 39.00.0000.012.02.009.23.159-A&FS/144University Grants Commission of Bangladesh Agricultural science/Crop science-27/2022-23
6 · The paper itself

Abstract

Unbalanced chemical fertilizer use in rice farming poses significant environmental and economic challenges in Bangladesh. This study investigates farmers' knowledge, attitudes, and practices (KAP) regarding fertilizer application, with a focus on behavioral drivers that remain underexplored. It extends the traditional KAP framework by integrating institutional factors (education, training, extension services), social influences (peer networks), and farmer perceptions as distinct antecedents of knowledge and attitude formation. Unlike conventional linear KAP models, this extended framework uses PLS-SEM to quantify direct, indirect, and mediated pathways, capturing the complex socio-institutional context shaping fertilizer behavior. Primary data were collected from 315 randomly selected rice farmers in Mymensingh and Rangpur districts during May-June 2024. Results revealed that only 28% of farmers applied recommended doses, with 37% over-applying and 35% substantially under-applying, leading to nutrient imbalances. The extended KAP model explained 60.6% of variance in fertilizer practices (R

Indexed as

AgricultureFarmersFertilizersOryzaAdultBangladeshFemaleHealth Knowledge, Attitudes, PracticeHumansMaleSurveys and QuestionnairesFertilizersAgricultural extensionBehavioral modelingFertilizer managementInstitutional supportKnowledge-Attitude-Practice modelPeer influencePLS-SEM

Identifiers

PMID42120517
PMCPMC13357800

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LicenceCC BY-NC-ND
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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.