Open AccessEvaluation of farmer knowledge level on artificial insemination program and cow’s pregnancy in Central Java and Yogyakarta Provinces
Author(s) -
Restiyana Agustine,
Tri Satya Mastuti Widi,
Ahmad Romadhoni Surya Putra
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/387/1/012088
Subject(s) - artificial insemination , java , insemination , pregnancy , agricultural science , estrous cycle , descriptive statistics , multistage sampling , formal education , statistical analysis , socioeconomics , psychology , zoology , mathematics , computer science , statistics , biology , economics , pedagogy , genetics , programming language
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%).