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

  • Lucie Setiana Faculty of animal science, Jenderal Soedirman University
  • Dadang Mulyadi Saleh Faculty of animal science, Jenderal Soedirman University
  • Aras Prasetiyo Nugroho Fuculty of Animal Science, Jenderal Soedirman University
  • Dayu Lingga Lana Department of Livestock & Animal Health Brebes Regency Jl.Taman Siswa, Padasugih, Brebes, Central Java
Keywords: Artificial Insemination, Beef Cattle Farmers, Economic Factor, Social Factors, Technical Factors

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.

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References

Abdullah, F. A., & Sharun, M. S. (2018). Level of technology acceptance on Assisted Reproductive Technology (ART) among ruminant farmers in Kelantan, Malaysia. Journal Tropical Resource Sustainable Sciences, 6, 77–79.

Akin, S., & Kara, A. (2019). Factors affecting the farmers’decision on artificial insemination: a case study of diyarbakir province, turkey. applied ecology and environmental research, 17(1), 1389–1399.

Bachev, H., Ivanov, B., Toteva, D., & Toteva, E. (2017). Agrarian sustainability in Bulgaria–economic, social and ecological aspects. Bulgarian Journal of Agricultural Science, 23(4), 519–525.

Bahar, L. D., Sudirman, I., & Sirajuddin, S. N. (2017). The Farmers Willingness to Pay on Artificial Insemination in Bali Cattle. Entomology and Applied Science Letters, 4(2), 34–37.

Bansal, S. K., Bhagat, R. L., Sinha, A. K., Yadav, A. L., & Phadke, N. L. (2019). Factors affecting conception rate in AI bred cattle under field conditions of Bihar. INDIAN JOURNAL OF ANIMAL SCIENCES, 89(1), 110–112.

BPS. (2013). Results of the agricultural cencus. Official statistics news no. 62/09/Th.XVI.2 September 2013. Jakarta: Indonesia.

Declaro-Ruedas, M. Y. A., & Bais, L. S. (2019). Communication Modalities Used in the Delivery of Extension Programs to Small Scale Livestock Raisers in San Jose, Occidental Mindoro, Philippines. International Journal of Agricultural Extension, 7(1), 39–44.

Department of livestock and animal health, B. (2015). No Title. Indonesian Statistic.

Edwina, S., Maharani, E., Kusumawaty, Y., Yusri, J., & Yusmini, Y. (2019). Perception of Farmers of Communal and Individual Stalls Towards the Role of Extension on Integrated Farming in Pelalawan District. Jurnal Penyuluhan, 15(2), 217–229.

Giampaoli, D., Ciambotti, M., & Bontis, N. (2017). Knowledge management, problem solving and performance in top Italian firms. Journal of Knowledge Management.

Ingabire, M. C., Yonggong, L., Pesha, J. C., & Hardi, A. (2018). Factors affecting adoption of artificial insemination technology by small dairy farmers in Rwanda: A case of Rwamagana District. Journal of Economics and Sustainable Development, 9, 46–53.

Ma’sum, M., Hubeis, A. V. S., Saleh, A., & Saharjo, B. (2012). Persepsi peternak tentang penerapan inseminasi buatan di tiga sentra sapi potong di Indonesia. Jurnal Penyuluhan, 8(1).

Ma’sum, M., Hubeis, A. V. S., Saleh, A., & Saharjo, B. (2013). Hubungan Antara Karakteristik Internal dan Eksternal Peternak Sapi Potong dan Adopsi Inovasi Inseminasi Buatan. Jurnal Penyuluhan, 9(1).

Mazumder, A., & Hoque, M. J. (2018). Correlation of Different Characteristics of the Farmers in.

Minister of Agriculture Decree No. 2842/Kpts/LB.430/8/2012, B. (2012). Dokumen Negara. Indonesia.

Monintja, M. Y., Oley, F. S., Sondakh, B. F., & Oroh, F. N. S. (2015). Analisis Keuntungan Peternak Sapi Peranakan Ongole (Po) Yang Menggunakan Inseminasi Buatan (Ib) Di Kecamatan Tompaso Barat. ZOOTEC, 35(2), 201–209.

Prawira, H. Y., & Sutrisna, R. (2015). Potensi Pengembangan Peternakan Sapi Potong di Kecamatan Tanjung Bintang Kabupaten Lampung Selatan. Jurnal Ilmiah Peternakan Terpadu, 3(4).

Rathod, P., Chander, M., & Sharma G, C. (2017). Adoption status of artificial insemination in Indian dairy sector: application of multinomial logit model. Journal of Applied Animal Research, 45(1), 442–446.

Setiawan, D. (2018). Artificial Insemination of Beef Cattle UPSUS SIWAB Program Based on the Calculation of Non-Return Rate, Service Per Conception and Calving Rate In The North Kayong Regency. The International Journal of Tropical Veterinary and Biomedical Research, 3(1), 7–11.

Sirajuddin, S. N., Sudirman, I., Bahar, L. D., Al Tawaha, A. R., & Al Tawaha, A. R. (2018). Social economic factors that affect cattle farmer’s willingness to pay for artificial insemination programs. Bulgarian Journal of Agricultural Science, 24(4), 574–580.

Sugiarto, M., Wakhidati, Y. N., Einstein, A., & Saleh, D. M. (2019). The influence of Artificial Insemination (AI) cost to profitability of beef cattle farming in Banjarnegara District, Central Java Province, Indonesia. IOP Conference Series: Earth and Environmental Science, 247(1), 12046.

Wiseman, L., Sanderson, J., Zhang, A., & Jakku, E. (2019). Farmers and their data: An examination of farmers’ reluctance to share their data through the lens of the laws impacting smart farming. NJAS-Wageningen Journal of Life Sciences, 90, 100301.

Yunasaf, U. (2012). Peran Penyuluh dalam Proses Pembelajaran Peternak Sapi Perah di KSU Tandangsari Sumedang (The Role of Extension Agent in Learning Process Dairy Farmer in KSU Tandangsari Sumedang). Jurnal Ilmu Ternak Universitas Padjadjaran, 12(1).

Published
2020-03-18
How to Cite
SetianaL., SalehD. M., NugrohoA. P., & LanaD. L. (2020). Factors in the Adoption of Beef Cattle Artificial Insemination (AI) Technology in Brebes Regency. Jurnal Penyuluhan, 16(1), 16-23. https://doi.org/10.25015/16202027574