Determinants of intensity of bread wheat packages adoption in Tigary, Northern Ethiopia

Gebremariam, Luchia Tekle; Hagos, Hadush

doi:10.24925/turjaf.v6i9.1101-1107.1757

Cited by 6 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The marginal effect shows that all other factors remain constant, an increase in age by one year, will lead to the probability of adopting enhanced maize technologies by 26.4 percent. This finding is in line with previous studies by Aklilu et al (2022); Luchia & Hadush (2018).…”

Section: Determinants Of Farmers' Adoption Of Improved Maize Varietiessupporting

confidence: 94%

Determinants of Adoption of Improved Varieties of Wheat (Triticum aestivum), Teff (Eragrostis teff), and Maize (Zea mays L.) in Central Ethiopia

Tekeste¹,

Tolossa²,

Admasu³

et al. 2023

jae

View full text Add to dashboard Cite

This study determined factors of the adoption of improved varieties of certified maize, teff, and wheat seeds in central Ethiopia. The logit model was applied to estimate the likelihood of adoption decisions. The result showed that 29% of household respondents adopted improved seeds, while 71% relied on their local landraces. The findings also revealed that farmers' decisions to adopt wheat, teff, and maize varieties were significantly influenced by educational level, farm size, farming experience, income, credit access, extension contact, farm input, and distance to the market. Thus, the study recommends that the government should focus on strengthening extension services, improving access to improved seeds, expanding timely agricultural inputs supply, improving market opportunities, equipping knowledgeable farmers who increase the use of new varieties, and making the land more economical by sharing agronomic practices are areas that need policy attention enhancing the adoption of certified seeds of improved varieties.

show abstract

Section: Determinants Of Farmers' Adoption Of Improved Maize Varietiessupporting

confidence: 94%

Determinants of Adoption of Improved Varieties of Wheat (Triticum aestivum), Teff (Eragrostis teff), and Maize (Zea mays L.) in Central Ethiopia

Tekeste¹,

Tolossa²,

Admasu³

et al. 2023

jae

View full text Add to dashboard Cite

show abstract

“…The multivariate probit model indicates that those farmers who have fewer transportation costs are more likely to adopt barley technologies than those who have high transportation costs. The possible explanation for this is that farmers who have higher transport costs might face far away from market centers and lack of information on the availability of the newly released technology provided by the extension system [27,28].…”

Section: Access Tomentioning

confidence: 99%

Adoption of Agricultural Technologies of the Barley-Based Farming System in Ethiopia

Getnet,

Debebe

2023

JET

View full text Add to dashboard Cite

Background: Improving the well-being of small holder farmers through the promotion of improved technologies has gained increased attention in recent times. Despite the high production potential and the crop's economic importance, adoption and diffusion of barley technologies are constrained by various factors. The purpose of the study is to identify determinants of adoption of agricultural technologies in the barley-based farming system of Ethiopia, with the specific objectives of identifying factors affecting Agricultural technology package choice and assessing the inter-dependency between the technologies. Methods: The study was carried out in highland areas of Ethiopia. The study used data from the Ethiopian socio-economic survey of 693 sample households. The descriptive and econometric analytical tools were applied. The research employed the Multivariate probit model to estimate the factors that inﬂuenced the adoption of agricultural technologies choice for barley production. Results: The descriptive result of the study identified that variables, like education, family size, credit access, farm size, farm income, and farmer's age play significant roles across barley technologies. The results showed that about 66.96%, 58.59%, 75.18%, 65.17%, and 75.99% of sample house hold adopted an improved variety of barley, by using urea, DAP, chemical, manure, and crop rotation, respectively. Multivariate probit model results showed that the age of the house hold head, soil fertility, farm size, training, and transportation cost affect the adoption of barley technologies negatively and significantly. Sex of the household head, education level of the house hold head, farm income, tropical livestock unit, and access to credit affect the adoption of barley technologies positively and significantly. Conclusion: Small holder farmers were more likely to succeed than fail in jointly adopting barley technologies. Consequently, government policy and other concerned parties should emphasize on the improvement of the institutional support system and decrease gender disparities in access to such institutions.

show abstract

Determinants of Improved Chickpea Variety Adoption: The case of Southern Ethiopia

Ashu

Tenaye

Tassew

2023

Applied Food Research

View full text Add to dashboard Cite

Determinants of intensity of bread wheat packages adoption in Tigary, Northern Ethiopia

Cited by 6 publications

References 15 publications

Determinants of Adoption of Improved Varieties of Wheat (Triticum aestivum), Teff (Eragrostis teff), and Maize (Zea mays L.) in Central Ethiopia

Determinants of Adoption of Improved Varieties of Wheat (Triticum aestivum), Teff (Eragrostis teff), and Maize (Zea mays L.) in Central Ethiopia

Adoption of Agricultural Technologies of the Barley-Based Farming System in Ethiopia

Determinants of Improved Chickpea Variety Adoption: The case of Southern Ethiopia

Contact Info

Product

Resources

About