SciELO - Scientific Electronic Library Online

 
vol.6 número2Pastoralists' grazing systems and eco-related outcomes in Yewa Division of Ogun State, NigeriaChemical composition of hays of the Caatinga shrub legumes mororó and sabiá from different parts of the plant índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Tropical Grasslands-Forrajes Tropicales

versão On-line ISSN 2346-3775

Resumo

ABEBE, ALEMAYEHU; HAGOS, AFEWORK; ALEBACHEW, HABTAMU  e  FAJI, MULISA. Determinants of adoption of improved forages in selected districts of Benishangul-Gumuz, Western Ethiopia. Trop. Grassl.-Forrajes Trop. [online]. 2018, vol.6, n.2, pp.104-110. ISSN 2346-3775.  https://doi.org/10.17138/tgft(6)104-110.

This study explores different socio-economic and institutional factors influencing the adoption of improved forage technologies in Assosa and Bambasi districts of Benishangul-Gumuz, Western Ethiopia. A structured questionnaire survey was applied to collect information from 120 farm households, and a binary logistic regression model was used to quantify the factors determining farmers' decisions to adopt improved forages. The analysis revealed that access to agricultural extension services, participation in forage training sessions and higher cash income had the greatest positive influence (P<0.05) on adoption of forage technologies, while higher numbers of male adult labor units and use of fertilizers had a lesser effect (P<0.10). In contrast, farmers remote from offices of development agents and possessing greater numbers of equines were less likely to adopt improved forage technologies. We suggest that adoption of improved forage technologies could be enhanced by providing farmers with training sessions, raising household income and providing greater access to extension services and that these factors should be considered by planning bodies.

Palavras-chave : Assosa; Bambasi; binary logistic regression; odds ratio.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )