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Analysis of speed of improved maize (BH-540) variety adoption among smallholder farmers in Northwestern Ethiopia: count outcome model

Low maize yield and productivity are major contributors to Ethiopia’s severe food insecurity and poverty. Generous efforts have been made by various stakeholders such as producers, and governmental and non-governmental organizations, to increase the country’s maize yield and productivity. However, t...

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Detalles Bibliográficos
Autores principales: Abate, Tadie Mirie, Mekie, Taye Melese, Dessie, Abebe Birara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557903/
https://www.ncbi.nlm.nih.gov/pubmed/36247130
http://dx.doi.org/10.1016/j.heliyon.2022.e10916
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author Abate, Tadie Mirie
Mekie, Taye Melese
Dessie, Abebe Birara
author_facet Abate, Tadie Mirie
Mekie, Taye Melese
Dessie, Abebe Birara
author_sort Abate, Tadie Mirie
collection PubMed
description Low maize yield and productivity are major contributors to Ethiopia’s severe food insecurity and poverty. Generous efforts have been made by various stakeholders such as producers, and governmental and non-governmental organizations, to increase the country’s maize yield and productivity. However, the outcome is not as expected to achieve food security and poverty reduction. Hence, the purpose of this study was to determine factors influencing the speed of adoption of the improved maize (BH-540) variety in the Central Gondar zone. A three-stage sampling method was used to select a total of 385 smallholder farmers. Moreover, a negative binomial regression was used to determine factors influencing the speed of adopting the improved maize (BH-540) variety. The negative binomial regression model revealed that the age of the household head, farm size, and membership of the cooperative were statistically significant and positively affected the speed of adopting the improved maize (BH-540) variety, whereas distance to the nearest market and access to credit were statistically significant and inversely affected the speed of adopting the improved maize (BH-540) variety. Therefore, this study suggests that the native administration ought to organize skill division and provide short-range keeping fit packages to input suppliers, producers, traders, and development agents in each district. Moreover, supporting and strengthening the current agricultural cooperatives is advisable to strengthen farmer-to-farmer skill allotment by providing mindfulness conception, benefits, and numerous infrastructures. Furthermore, the trade and market development department should be designed to establish improved seed market institutions in each district.
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spelling pubmed-95579032022-10-14 Analysis of speed of improved maize (BH-540) variety adoption among smallholder farmers in Northwestern Ethiopia: count outcome model Abate, Tadie Mirie Mekie, Taye Melese Dessie, Abebe Birara Heliyon Research Article Low maize yield and productivity are major contributors to Ethiopia’s severe food insecurity and poverty. Generous efforts have been made by various stakeholders such as producers, and governmental and non-governmental organizations, to increase the country’s maize yield and productivity. However, the outcome is not as expected to achieve food security and poverty reduction. Hence, the purpose of this study was to determine factors influencing the speed of adoption of the improved maize (BH-540) variety in the Central Gondar zone. A three-stage sampling method was used to select a total of 385 smallholder farmers. Moreover, a negative binomial regression was used to determine factors influencing the speed of adopting the improved maize (BH-540) variety. The negative binomial regression model revealed that the age of the household head, farm size, and membership of the cooperative were statistically significant and positively affected the speed of adopting the improved maize (BH-540) variety, whereas distance to the nearest market and access to credit were statistically significant and inversely affected the speed of adopting the improved maize (BH-540) variety. Therefore, this study suggests that the native administration ought to organize skill division and provide short-range keeping fit packages to input suppliers, producers, traders, and development agents in each district. Moreover, supporting and strengthening the current agricultural cooperatives is advisable to strengthen farmer-to-farmer skill allotment by providing mindfulness conception, benefits, and numerous infrastructures. Furthermore, the trade and market development department should be designed to establish improved seed market institutions in each district. Elsevier 2022-10-03 /pmc/articles/PMC9557903/ /pubmed/36247130 http://dx.doi.org/10.1016/j.heliyon.2022.e10916 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Abate, Tadie Mirie
Mekie, Taye Melese
Dessie, Abebe Birara
Analysis of speed of improved maize (BH-540) variety adoption among smallholder farmers in Northwestern Ethiopia: count outcome model
title Analysis of speed of improved maize (BH-540) variety adoption among smallholder farmers in Northwestern Ethiopia: count outcome model
title_full Analysis of speed of improved maize (BH-540) variety adoption among smallholder farmers in Northwestern Ethiopia: count outcome model
title_fullStr Analysis of speed of improved maize (BH-540) variety adoption among smallholder farmers in Northwestern Ethiopia: count outcome model
title_full_unstemmed Analysis of speed of improved maize (BH-540) variety adoption among smallholder farmers in Northwestern Ethiopia: count outcome model
title_short Analysis of speed of improved maize (BH-540) variety adoption among smallholder farmers in Northwestern Ethiopia: count outcome model
title_sort analysis of speed of improved maize (bh-540) variety adoption among smallholder farmers in northwestern ethiopia: count outcome model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557903/
https://www.ncbi.nlm.nih.gov/pubmed/36247130
http://dx.doi.org/10.1016/j.heliyon.2022.e10916
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