PENGETAHUAN DAN MINAT MASYARAKAT PETERNAK UNTUK MENERAPKAN TEKNOLOGI INSEMINASI BUATAN

Authors

  • Khaifah Asgaf Universitasi Isalm Negeri Alauddin Makassar
  • Muhammad Arsan Jamili 1Universitas Islam Negeri Alauddin Makassar
  • Muhammad Rusman Rusli Universitas Islam Negeri Alauddin Makassar

DOI:

https://doi.org/10.37090/jwputb.v6i3.688

Abstract

Artificial insemination (AI) is one of the appropriate techniques in increasing cattle productivity and to improve cow genetics. However, not all people are interested in implementing IB Technology. This study aims to explain how to increase the interest of the breeder community to apply artificial insemination technology. This study uses a descriptive quantitative approach. The total sample of 33 respondents was taken by purposive sampling, namely farmers who have at least one calf produced by means of artificial insemination (IB) technology. The analysis used for knowledge and interest variables is descriptive analysis, regression analysis, and T-Test. From the research results obtained knowledge and interest are very influential in improving the application of artificial insemination (IB) technology. The contribution of increasing each variable is knowledge by 24.4% and interest by 48.8%. From these results, it can be concluded that the interest and knowledge of the farming community about artificial insemination technology is very influential or significant based on the results of the T-Test which shows that the substantial value in the attitude of farmers is (0.000) < (0.05). With the implementation of artificial insemination technology carried out by farmers, the community is expected to be able to increase the productivity and quality of their livestock genetic products

Keywords: Breeding Community; Interest; Knowledge; Artificial Insemination Technology

References

Aké-Villanueva, J. R., Aké-López, J. R., Segura-Correa, J. C., Magaña-Monforte, J. G., & Aké-Villanueva, N. Y. (2017). Factors affecting conception rate of hair ewes after laparoscopic insemination with chilled semen under tropical conditions. Small Ruminant Research, 153(August 2016), 114–117. https://doi.org/10.1016/j.smallrumres.2017.06.006

Amare, T., Goshu, G., & Tamir, B. (2018). Flock composition, breeding strategies, and farmers' traits of interest evaluation of Wollo highland sheep and their F 1 crosses. Journal of Animal Science and Technology, 1–13. https://doi.org/10.1186/s40781-018-0173-9

Bakst, M. R. (1993). Future Developments In Artificial Insemination Technology. Applied Poultry Science, 373–377. https://doi.org/10.1093/japr/2.4.373

Barrientos-blanco, J., Thompson, N. M., Widmar, N. J. O., Wolf, C. A., Snyder, L. U., Thompson, N. M., & Nicole, J. (2018). The expected value of crossbred dairy cattle artificial insemination breeding strategies in virgin heifers and lactating cows. In Livestock Science. https://doi.org/10.1016/j.livsci.2018.03.005

Bayei, J. D., & Nache, A. I. (2014). The Effect Of Socio-Economic Characteristics Of Cattle Farmers On The Adoption Of Artificial Insemination Technology In Kaduna State Of Nigeria. IOSR Journal of Agriculture and Veterinary Science, 7(9), 11–17. https://doi.org/10.9790/2380-07921117

Beymer, P. N., Rosenberg, J. M., & Schmidt, J. A. (2020). Does choice matter, or is it all about interest ? An investigation using an experience sampling approach in high school science classrooms ☆. Learning and Individual Differences, 78(January 2019), 101812. https://doi.org/10.1016/j.lindif.2019.101812

Buckley, F., Lopez-Villalobos, N., & Heins, B. J. (2014). Crossbreeding: Implications for dairy cow fertility and survival. Animal, 8(SUPPL. 1), 122–133. https://doi.org/10.1017/S1751731114000901

Directorate General of Livestock and Animal Health. (2019). Livestock and Animal Health Statistics, 2019.

Gilani, H., Arif Goheer, M., Ahmad, H., & Hussain, K. (2020). Under predicted climate change: Distribution and ecological niche modeling of six native tree species in Gilgit-Baltistan, Pakistan. Ecological Indicators, 111(December 2019), 106049. https://doi.org/10.1016/j.ecolind.2019.106049

Hasanipanah, M., Jahed Armaghani, D., Bakhshandeh Amnieh, H., Majid, M. Z. A., & Tahir, M. M. D. (2017). Application of PSO to develop a powerful equation for prediction of flyrock due to blasting. Neural Computing and Applications, 28, 1043–1050. https://doi.org/10.1007/s00521-016-2434-1

Hosie, J., Rowe, S. M., Morton, J. M., Tranter, W. P., & Cavalieri, J. (2019). The use of a sanitary sheath at artificial insemination by nonprofessional technicians does not markedly improve pregnancy rates to artificial insemination in pasture-based dairy cows. Journal of Dairy Science, 102(6), 5588–5598. https://doi.org/10.3168/jds.2018-16082

Jahan, S., & Khan, A. (2012). Power of t-test for Simple Linear Regression Model with Non-normal Error Distribution: A Quantile Function Distribution Approach. Journal of Scientific Research, 4(3), 609–622. https://doi.org/10.3329/jsr.v4i3.9067

Kowalczyk, B., Zawadzka, B., & Lubińska-Żądło, B. (2018). The relationship between the level of knowledge in the field of pro-health procedures and the quality of life in people after stroke. Medical Rehabilitation, 22(1), 22–31. https://doi.org/10.5604/01.3001.0012.0908

Lee, K., & Malerba, F. (2017). Catch-up cycles and changes in industrial leadership: Windows of opportunity and responses of firms and countries in the evolution of sectoral systems. Research Policy, 46(2), 338–351. https://doi.org/10.1016/j.respol.2016.09.006

Lumley, T., Diehr, P., Emerson, S., & Chen, L. (2002). The Importance of the Normality Assumption in Large Public Health Data Sets. Annual Review of Public Health, 23(1), 151–169. https://doi.org/10.1146/annurev.publheath.23.100901.140546

Moore, S. G., & Hasler, J. F. (2017). A 100-Year Review: Reproductive technologies in dairy science. Journal of Dairy Science, 100(12), 10314–10331. https://doi.org/10.3168/jds.2017-13138

Mursidin, Syam, J., Jamili, M. A., Susanti, H. I., Ananda, S., & Irmawaty. (2022). Respon Peternak Sapi Limousin Terhadap Pelayanan Inseminasi Buatan. Jurnal Peternakan Sriwijaya (journal of Animal Science), 11(1), 17-25. doi:10.36706/JPS.11.1.2022.16795

Raungpaka, V., & Savetpanuvong, P. (2017). Information orientation of small-scale farmers' community enterprises in Northern Thailand. Kasetsart Journal of Social Sciences, 38(3), 196–203. https://doi.org/10.1016/j.kjss.2016.08.018

Schmitz, W., Kramer, M., Erhardt, G., Gauly, M., Driancourt, M. A., & Holtz, W. (2017). Pregnancy rate after fixed-time artificial insemination of suckled beef cows subjected to a cozy inch protocol with either buserelin or hCG as an ovulation-inducing agent. Livestock Science, 206(October), 141–147. https://doi.org/10.1016/j.livsci.2017.10.025

Slot, E. M., Vulperhorst, J. P., Bronkhorst, L. H., Rijst, R. M. Van Der, Wubbels, T., & Akkerman, S. F. (2020). Mechanisms of interest sustainment. Learning, Culture and Social Interaction, 24(November 2019), 100356. https://doi.org/10.1016/j.lcsi.2019.100356

Sutiyono, S., Samsudewa, D., & Suryawijaya, A. (2018). Estrus and pregnancy rate of Simmental-O'ngole crossbred and O'ngole grade heifer after being synchronized and inseminated. Journal of the Indonesian Tropical Animal Agriculture, 7(1), 438–444. https://doi.org/10.14710/jitaa.43.4.438-444

Zhu, Z., Kong, L., Deng, X., & Tan, B. (2020). A 2020 perspective on "A graph-oriented model for hierarchical user interest in precision social marketing ." Electronic Commerce Research and Applications, 41(February), 100962. https://doi.org/10.1016/j.elerap.2020.100962

Downloads

Published

03-11-2022

How to Cite

Asgaf, Khaifah, et al. “PENGETAHUAN DAN MINAT MASYARAKAT PETERNAK UNTUK MENERAPKAN TEKNOLOGI INSEMINASI BUATAN”. Wahana Peternakan, vol. 6, no. 3, Nov. 2022, pp. 167-74, doi:10.37090/jwputb.v6i3.688.

Issue

Vol. 6 No. 3 (2022): Wahana Peternakan

Section

Articles

License

Copyright (c) 2022 Khaifah Asgaf, Muhammad Arsan Jamili, Muhammad Rusman Rusli

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.