Factors affecting the use of artificial insemination of farmers in dairy farming
Abstract
The study was carried out in the districts of Harmacık, Keles, Orhaneli and Büyükorhan known as the mountain region of Bursa province, Turkey with the purpose of determining factors affecting farmers' use of artificial insemination in dairy farming. The number of the farms was determined using a stratified random sampling method. The data were collected from 252 dairy cattle farms between April and December 2018. The study employed the logit model to evaluate the data. The results revealed that the educational level of the farmers, dairy farming experience, the number of dairy cattle, livestock diseases, off-farm income, artificial insemination support and access to veterinary services variables had a positive effect on farmers' use of artificial insemination; whereas age and household size variables had a negative impact. As a result, the use of artificial insemination in dairy farm can be increased with farmers who are open to innovations regarding livestock activity and knowledgeable about artificial insemination.
Keywords
References
- Aksoy, A., Külekçi, M. and Yavuz, F. (2011). Analysis of the factors affecting the of adoption of innovations a in dairy farms in Erzurum province. Turkey. African Journal of Agricultural Research, 6, 2966-2970. Doi: https://doi.org/10.5897/AJAR11.162
- Asfaw, S., Shiferaw, B., Simtowe, F. and Haile, M.G. (2011). Agricultural technology adoption, seed access constraints and commercialization in Ethiopia. Journal of Development and Agricultural Economics, 3, 436-447. Retrieved from https://www.academicjournals.org/JDAE
- Bamire A.S., Fabiyi, Y.L. and Manyong, B. (2002). Adoption pattern of fertilizer technology among farmers in the ecological zones of Southwestern Nigeria: a tobit analysis. Australian Journal of Agricultural Research, 53, 901- 910. Doi: https://doi.org/10.1071/AR01095
- Beshir, H., Emana, B., Kassa, B. and Jema, H. (2012). Determinants of chemical fertilizer technology adoption in North Eastern Highlands of Ethiopia: the double hurdle approach. Journal of Research in Economics and International Finance, 1, 39-49. Retrieved from https://www.interesjournals.org/JREIF
- Demir, N. and Yavuz, F. (2010). A regional comparative analysis of farmers’ approaches to livestock support policies. Atatürk University Journal of Agricultural Faculty, 41, 113-121. Retrieved from https://dergipark.org.tr/tr/download/article-file/35357
- Gençdal, F., Terin, M. and Yıldırım, İ. (2015). A research on determination of factors affecting the artificial insemination of dairy farms: a case study of Van province of Gevaş district. Anadolu Journal Agricultural Sciences, 30, 254-259. Doi: https://doi.org/10.7161/anajas.2015.30.3.254-259
- Howard, W.H. and Cranfield, J. (1995). Ontario beef producers' attitudes about artificial insemination. Canadian Journal of Agricultural Economics, 43, 305–314. Doi: https://doi.org/10.22004/ag.econ.171158
- Howley, P., Donoghue, C.O. and Heanue, K. (2012). Factors affecting farmers’ adoption of agricultural innovations: a panel data analysis of the use of artificial insemination among dairy farmers in Ireland. Journal of Agricultural Science, 4, 171-179. Doi: https://doi.org/10.5539/jas.v4n6p171
- Kaaya, H., Bashaasha, B. and Mutetikka, D. (2005). Determinants of utilization of artificial insemination (AI) services among Ugandan dairy farmers. Eastern Africa Journal of Rural Development, 21, 34-43. Doi: https://doi.org/10.4314/eajrd.v21i1.28370
- Karahan, H., Özsayın, D., Karaman, S. (2015). Examination the socio-economic aspects of the business engaged in the cultivation of organic strawberries. Harran Journal of Agricultural Food Science, 19, 9-15. Retrieved from https://dergipark.org.tr/en/download/article-file/448727
