Factors Affecting Adoption of Beef Cattle Artificial Insemination (AI) in Smallholder Farmer in Bengkulu Province, Indonesia
- DOI
- 10.2991/absr.k.210609.032How to use a DOI?
- Keywords
- farmer, adoption, artificial insemination, Bengkulu
- Abstract
This research aimed to determine factors affecting beef cattle adoption of Artificial Insemination (AI) in smallholder farmers in Bengkulu Province, Indonesia. The sample was chosen through random sampling, from 4 districts in Bengkulu Province. The total sample was 80 beef cattle smallholder farmers. Data were collected based on structured questionnaires as primary data and literature review and relevant sources were used as secondary data. Data were analysed descriptively and correlation regression was used to analyze the relationships among parameters. The result shows the majority of farmers in these districts possess Bali cattle; women had a lower adoption percentage than men. Our findings also showed that 88,75% is the active age group (25-60 years of age), have enough knowledge and practices, and capability to make suitable decisions to adopt AI technology. The level of education, family size, farming experience, herd size did not significantly (P>0.05) affect AI adoption, while the age and the knowledge of AI significantly (P<0.05) affected the adoption of AI technology. Difficulty in oestrus detection repeated failure during insemination, higher charges for AI and the distance of the AI centre from the village were the main reasons for smallholder farmers did not adopt the AI technology.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tatik Suteky AU - Dwatmadji PY - 2021 DA - 2021/06/11 TI - Factors Affecting Adoption of Beef Cattle Artificial Insemination (AI) in Smallholder Farmer in Bengkulu Province, Indonesia BT - Proceedings of the International Seminar on Promoting Local Resources for Sustainable Agriculture and Development (ISPLRSAD 2020) PB - Atlantis Press SP - 194 EP - 198 SN - 2468-5747 UR - https://doi.org/10.2991/absr.k.210609.032 DO - 10.2991/absr.k.210609.032 ID - Suteky2021 ER -