Agustine, R. and Widi, T.S.M. and Putra, A.R.S. (2019) Evaluation of farmer knowledge level on artificial insemination program and cow's pregnancy in Central Java and Yogyakarta Provinces. In: The 8th International Seminar on Tropical Animal Production, 23–25 September 2019, Yogyakarta, Indonesia.
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Abstract
This study was aimed to determine the level of knowledge of beef cattle farmers towards artificial insemination (AI) and to identify the success of the AI implementation by observing at the cow's pregnancy rate. This study involved 400 farmers in Central Java and Yogyakarta Provinces as respondents selected by multistage random sampling. Statistical descriptive analysis was used in this study. Frequency distribution used to determine the farmers' level of knowledge toward AI program and the success of pregnancy rate. The results showed that the farmers in this study had a low level of formal education (elementary school) and had a various understanding of AI benefit. Most of the farmers included in the medium category of understanding the benefits of AI and only 25.5 have a high understanding of the benefits of AI. In conclusion, farmers already knew the signs of estrus in cow and had applied it to determine the right time for AI, but the success rate of pregnancy for beef cattle in this study was still low (48.5). © Published under licence by IOP Publishing Ltd.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Cited by: 0; All Open Access; Gold Open Access |
| Uncontrolled Keywords: | Agriculture; Animals; Computer software; Obstetrics; Artificial insemination; Beef cattle; Descriptive analysis; Elementary schools; Farmer knowledge; Formal education; Frequency distributions; Random sampling; Java programming language |
| Subjects: | S Agriculture > SF Animal culture |
| Divisions: | Faculty of Animal Sciences > Department of Livestock Socio-Economics |
| Depositing User: | Sri JUNANDI |
| Date Deposited: | 06 Aug 2026 06:31 |
| Last Modified: | 06 Aug 2026 06:31 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/26718 |
