Home⇛Journal of Interdisciplinary Perspectives⇛vol. 3 no. 7 (2025)

Assessing Stakeholder Engagement in the Unified National Artificial Insemination Program for Cattle in Negros Oriental: Awareness, Challenges, and Support Systems

Michelle M. Pacana | Jobert R. Kleine Koerkamp

Discipline: Animal Science

 

Abstract:

This study addresses the knowledge gap regarding farmer awareness, inseminator challenges, and institutional support systems in the implementation of the UNAIP cattle artificial insemination program in Negros Oriental. Employing a descriptive-correlational research design, with a random sample of 298 farmers and a census of 52 inseminators, data were collected through expert-validated questionnaires and analyzed using means, standard deviations, and Spearman’s rank correlation. Results reveal that farmers exhibit a very high level of awareness about AI benefits and procedures, influenced by experience, education, and cultural perceptions. At the same time, inseminators face multiple logistical and technical challenges. Institutional support is generally rated as adequate; however, logistical constraints and support responsiveness vary across regions. Key findings include a lack of significant correlation between support systems and AI success rates, suggesting biological, environmental, and farmer-driven factors are critical for success. The study concludes that a comprehensive, community-driven approach is necessary to enhance AI adoption and program effectiveness, contributing valuable insights for policymakers and stakeholders to improve livestock development in rural areas.



References:

  1. Abella, E. C., Reyes, L. T., & Delos Reyes, M. L. (2017). Adoption of artificial insemination among smallholder farmers in Bukidnon, Philippines. Philippine Journal of Veterinary Medicine, 54(3), 145–156. https://doi.org/10.3860/pjvm.2017.v54.3.145
  2. Briones, R. M. (2020). Enhancing youth engagement in Philippine agriculture (PIDS Discussion Paper Series No. 2020-24). Philippine Institute for Development Studies. https://tinyurl.com/6bav5228
  3. Chandran, B., Seth, P., Mittra, B., & Pingali, P. (2025). Understanding the determinants of farmers’ adoption of artificial insemination in livestock: A systematic review. Economic & Political Weekly, 60(7), 68–80. https://doi.org/10.71279/epw.v60i6.42332
  4. Department of Agriculture. (2023). Revised implementing guidelines on the grant of artificial insemination cash-calf incentives (AICCI) under the Unified National Artificial Insemination Program (UNAIP) for large ruminants (Memorandum Order No. 4, Series of 2023).
  5. Edale, M. G. (2025). DA enhances cattle breeds through artificial insemination. Philippine Information Agency. Retrieved from https://pia.gov.ph/da-enhances-cattle-breeds-through-artificial-insemination
  6. Foote, R. H. (2002). The history of artificial insemination: Selected notes and notables. Journal of Animal Science, 80(E-Suppl_2), E1–E10. https://doi.org/10.2527/animalsci2002.80E-Suppl_2E
  7. Israel, D. C., & Briones, R. M. (2013). Impacts of natural disasters on agriculture, food security, natural resources and environment in the Philippines (PIDS Discussion Paper Series No. 2013-06). Philippine Institute for Development Studies. Retrieved from https://tinyurl.com/36zv9yvf
  8. Latonio, M., Asis, G., & Lopez, J. (2019). Adoption of reproductive technologies among cattle farmers: Barriers and enabling factors. Philippine Journal of Veterinary and Animal Sciences, 45(1), 45–53.
  9. Lorenciana, C. (2021). Artificial insemination programs produce over 7K calves in Cebu. Philippine News Agency. Retrieved from https://www.pna.gov.ph/articles/1142025
  10. Patel, G. K., Haque, N., Madhavar, M., Chaudhari, A. K., Patel, D. K., Bhalakiya, N., Jamnesha, N., Patel, P., & Kumar, R. (2017). Artificial insemination: A tool to improve livestock productivity. Journal of Pharmacognosy and Phytochemistry, 307–313. https://tinyurl.com/27avae44
  11. Peña, S. T., & Lañada, E. B. (2019). Predictors of success or failure in artificially inseminated buffalo cows in Baybay City, Leyte, Philippines: An unmatched case-control study. Buffalo Bulletin, 38(1). https://kuojs.lib.ku.ac.th/index.php/BufBu/article/view/2393
  12. Peralta, M. (2024). 14 new AI technicians to increase calf drop in CAR. Philippine Carabao Center. Retrieved from https://tinyurl.com/2jp7xzy6
  13. Pingali, P., Mittra, B., & Rahman, A. (2021). Transforming food systems for a rising India. Springer Nature. https://doi.org/10.1007/978-3-030-75403-5
  14. Seth, P., Chandran, B., Mittra, B., & Pingali, P. (2025). Understanding the determinants of farmers’ adoption of artificial insemination in livestock: A systematic review. Economic & Political Weekly, 60(7), 68–80. https://doi.org/10.71279/epw.v60i6.42332
  15. Soriano, A. P., Celestino, E. F., & Urpiano, E. M. V. (2021). Artificial insemination (AI) is applied as a breeding method for dairy goat herd build-up in Region 3, Philippines—the CLSU International Journal of Science & Technology, 5(2). https://doi.org/10.22137/ijst.2021.v5n2.01
  16. Tadesse, B., Reda, A. A., Kassaw, N. T., & Tadeg, W. (2022). Success rate of artificial insemination, reproductive performance and economic impact of failure of first service insemination: A retrospective study. BMC Veterinary Research, 18, Article 226. https://doi.org/10.1186/s12917-022-03347-3
  17. Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
  18. Toledo, R. A., Perez, E. M., & Manalo, L. R. (2019). Evaluation of the AI program in swine genetic improvement in Cebu, Philippines. Philippine Journal of Veterinary and Animal Sciences, 45(2), 99–109. https://doi.org/10.3860/pjvas.2019.v45.2.99
  19. Valdez, A. V. (2024). A policy brief on applying artificial insemination (AI) in Lanao del Sur. Journal of Agricultural Research, 9(1), Article 000353.
  20. Valencia, M. J., Reyes, C. M., & Francisco, K. A. (2023). Behavioral factors influencing technology adoption among smallholder farmers in Southeast Asia. Journal of Agricultural Development Studies, 41(2), 115–130. https://doi.org/10.23880/oajar-16000353
  21. Ybañez, A. P., Ybañez, R. H. D., Fojas, A. J. G., Malate, P. L. T., Abela, J. V., Nuñez, E. S., Royo, E. S., & Lopez, I. F. M. (2017). Retrospective analysis of selected artificial insemination (AI) related practices, maternal factors and success rate of AI in water buffaloes in three rural areas in the Philippines (1998–2015). Livestock Research for Rural Development, 29(4). https://tinyurl.com/yb7ux2w6
  22. Zuidema, D., Kerns, K., & Sutovsky, P. (2021). An exploration of current and prospective semen analysis and sperm selection for livestock artificial insemination. Animals, 11, Article 3563. https://doi.org/10.3390/ani11123563

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