Factors in the Adoption of Beef Cattle Artificial Insemination (AI) Technology in Brebes Regency

Abstract

Efforts to increase beef cattle population and genetic in Brebes Regency can be done by using artificial insemination (AI) technology approach.Therefore this study aims to determine the factors that influence the ability of beef cattle farmers in adopting artificial insemination technology (AI) in Brebes Regency. Survey method was applied to observe beef cattle and farmers. Sampling technique used Slovin formula with 90% significant rate to observe variables, namely the ability of farmers to adopt AI technology (Y); social factors (X1) consisting of age (X1.1), educational background (X1.2), farming experience (X1.3), herd size (X1.4); technical factors consisting of S/C (X2.1) and oestrous detection (X2.2); and economic factor is AI costs (X3). The research data obtained were analysed using descriptive analysis and correlation. The results showed that adoption of artificial insemination in beef cattle in Brebes Regency had a negative correlation with age (X1.1) (rs = -0.498), did not correlate with educational background (X1.2) (rs = 0.221), farming experience ( rs = X1.3) (rs = -0.056), and the herd size (X1.4) (rs = 0.094) as social factors; does not correlate with the value of S/C (X2.1) (rs = 0.203) and estrous detection (X2.2) (rs = 0.259) as technical factors; and negatively correlate.ed with AI cost (X3) (rs = -0,661) as an economic factor. From the results of the study, it can be concluded that the adoption of artificial insemination in beef cattle in Brebes Regency is influenced by social and economic factors, especially from the age factor and AI cost factor that is less supportive.

Determinants of Willingness to Pay for Artificial Insemination (Ai) Among Muturu Cattle Farmers in Ipokia Local Government Area, Ogun State, Nigeria

“…It may also turn out that these muturu breeders have a good knowledge of the importance of genetic improvement and prevention of genital diseases that AI can bring to their herd and hence CAP selection. This is in contrast to the findings of Setiana et al (2020), who reported that owned herd size was not significant for the decision to adopt innovation (IA) in Brebes. Onoh et al (2012) believe that farm size affects the extent to which farmers will adopt innovation and are willing to pay for such services.…”

Evaluation of adoption rate of frozen sexed semen artificial insemination technology adoption in Palang Village, Tuban Regency, East Java

“…Experience, knowledge, and skills increase according to age (Eddy, Roessali, & Marzuki, 2012). In contrast, other studies showed that aged farmers had less motivated to develop farming, while young farmers were interested to change and adopt technology (Setiana, Saleh, Nugroho, & Lana, 2020). Supporting this, the result of this study showed that the age of respondents affected the ability of innovation adoption.…”

“…Similar to the age of respondents, the education level of farmers and its impact on the adoption level differs for every case. Some previous research found that education level was not significantly related to the adoption rate of innovation (Setiana et al, 2020;Sirajuddin, Sudirman, Bahar, Al Tawaha, & Al Tawaha, 2018). However, the higher level of education had higher innovation adoption levels compare to farmers with a lower level of education (Soekartawi, 2008).…”

Factors Supporting the Success of Artificial Insemination in Beef Cattle in East Langsa District Langsa City

“…Knowing the factors that influence the success of AI in cattle is very important for farmers to increase the efficiency and productivity of their livestock (Müller-Sepúlveda et al 2020). The selection of the right factors and the application of the right steps will provide an opportunity to increase the success of AI (Setiana et al 2020), resulting in high-quality, productive, and profitable cattle populations. Several studies related to this topic have been conducted in various regions but have never been conducted in Langsa City.…”