Aligning Artificial Insemination and Vaccination for Sustainable Beef Cattle Populations
Abstract
This study evaluates the alignment of artificial insemination and livestock vaccination services as complementary interventions for sustaining the beef cattle population in Purwakarta Regency, Indonesia. A descriptive policy-analysis design was applied to secondary administrative data from 2023–2025, including livestock service performance, vaccination records, population statistics, planning documents, budgets, and the institutional risk register. Trend, gap, strengths–weaknesses–opportunities–threats, policy-option, and risk analyses were used. Artificial insemination performance improved in 2025: the number of acceptors rose by 4.39 percent, pregnancies increased by 4.01 percent, and services per conception declined from 1.51 to 1.47. However, births declined slightly, while foot-and-mouth disease vaccination dropped from 95,539 animals in 2024 to 11,283 in 2025. Service targets, locations, timing, and databases were not systematically connected, limiting the ability to verify whether cattle generated through reproductive services received adequate health protection. The preferred policy is a data- and risk-based alignment model that uses acceptor location, animal population, disease risk, and service history to prioritize vaccination without creating a new program or reallocating formal authority. Integrating service data into annual planning can improve targeting, budget efficiency, accountability, and the durability of population gains. The findings show that reproductive output should be assessed together with animal-health protection rather than as an isolated performance measure.
References
Allan, F. K., MacVicar, I. S., Peters, A. R., & Schnier, C. (2024). Systematic map of recent evidence on reproductive performance of cattle in Africa. Tropical Animal Health and Production, 56(7), 218. https://doi.org/10.1007/s11250-024-04074-z
Aranguiz, A. A., Setiabudi, F. H., & Spoelstra, M. (2024). Trends and outlook of dairy production in Java, Indonesia. Wageningen Livestock Research, Public Report, 1522, 24-25. https://doi.org/10.18174/676664
Baruselli, P. S., Ferreira, R. M., Sá Filho, M. F., & Bó, G. A. (2018). Review: Using artificial insemination v. natural service in beef herds. Animal, 12(S1), s45–s52. https://doi.org/10.1017/S175173111800054X
Belsham, G. J. (2020). Towards improvements in foot-and-mouth disease vaccine performance. Acta Veterinaria Scandinavica, 62, 20. https://doi.org/10.1186/s13028-020-00519-1
Cenci, S., Burato, M., Rei, M., & Zollo, M. (2023). The alignment of companies' sustainability behavior and emissions with global climate targets. Nature Communications, 14(1), 7831. https://doi.org/10.1038/s41467-023-43116-2
Dede, M., Sunardi, S., Widiawaty, M. A., Ismail, A., Lam, K. C., Afriana, N. N., ... & Susiati, H. (2025). Spatial distribution and environmental factors analysis of foot-and-mouth disease (FMD) in West Java, Indonesia. Cogent Food & Agriculture, 11(1), 2440549. https://doi.org/10.1080/23311932.2024.2440549
Firman, A., Kuswaryan, S., Nurlina, L., Hadiana, M. H., Sulistyati, M., Yunasaf, U., ... & Trisman, I. (2023). Valuation of massive artificial insemination programs and the economic impact for Indonesia. Adv. Anim. Vet.-Sci, 11, 1037-1046. https://doi.org/10.17582/journal.aavs/2023/11.7.1037.1046
Food and Agriculture Organization. (2024). Data integration for improved epidemic response and animal disease intelligence.
Garcia-Pintos, C. G., Riet-Correa, F., & Menchaca, A. M. (2021). Effect of foot-and-mouth disease vaccine on pregnancy failure in beef cows. Frontiers in Veterinary Science, 8, 761304. https://doi.org/10.3389/fvets.2021.761304
Gunasekera, U., Diep, N. T., Long, P. T., Chuong, V. D., Arzt, J., & Perez, A. (2026). An Overview of Epidemiological Tools That Support the Progress of Foot-and-Mouth Disease Control in Southeast Asia. Pathogens, 15(9), 893. https://doi.org/10.3390/pathogens15090893
Hambisa, A. B. (2025). Enhancing bovine reproduction: The progress of artificial insemination in Ethiopia. Reproduction in Domestic Animals, 60, e70003. https://doi.org/10.1111/rda.70003
Humphreys, J. M., Stenfeldt, C., King, D. P., Knight-Jones, T., Perez, A. M., VanderWaal, K., ... & Arzt, J. (2025). Epidemiology and economics of foot-and-mouth disease: current understanding and knowledge gaps. Veterinary research, 56(1), 141. https://doi.org/10.1186/s13567-025-01561-5
Integrating veterinary public health data into EPCIS-based digital traceability for dairy supply chains. (2026). Foods, 15, 1566.
Isnaini, N., Wahjuningsih, S., Ma’ruf, A., & Witayanto, D. A. (2019). Evaluation of the reproductive performance of Madura cattle raised by small-scale farmers in Madura, Indonesia. Livestock Research for Rural Development, 31(5), Article 70.
Kahariri, S., Thumbi, S. M., Bett, B., Mureithi, M. W., Nyaga, N., Ogendo, A., ... & Thomas, L. F. (2024). The evolution of Kenya’s animal health surveillance system and its potential for efficient detection of zoonoses. Frontiers in Veterinary Science, 11, 1379907. https://doi.org/10.3389/fvets.2024.1379907
Kakkar, P., Gupta, S., Paschopoulou, K. I., Paschopoulos, I., Paschopoulos, I., Siafaka, V., & Tsonis, O. (2025). The integration of artificial intelligence in assisted reproduction: a comprehensive review. Frontiers in Reproductive Health, 7, 1520919. https://doi.org/10.3389/frph.2025.1520919
Kargbo, M. B., & Bangura, S. R. (2024). The socio-economic impact of foot and mouth disease (FMD) on livestock farming in sierra leone, an empirical evidence from six districts. Int. J. Agric. Econ, 9, 59-75. https://doi.org/10.11648/j.ijae.20240902.13
Kedang, V. M. K., Permatasari, I., Chanchaidechachai, T., & Inchaisri, C. (2025). Spatial-temporal distribution and risk factors of foot and mouth disease outbreaks in Java Island, Indonesia from 2022 to 2023. BMC Veterinary Research, 21, 180. https://doi.org/10.1186/s12917-025-04621-2
Kedang, V. M. K., Permatasari, I., Chanchaidechachai, T., & Inchaisri, C. (2025). Spatial-temporal distribution and risk factors of foot and mouth disease outbreaks in Java Island, Indonesia from 2022 to 2023. BMC Veterinary Research, 21, 180. https://doi.org/10.1186/s12917-025-04621-2
Khumalo, L., Nyaki, S. A., Bahta, Y. T., Jammer, B., & Mokhahla, P. (2026). The impact of foot-and-mouth disease on household food security among smallholder farmers in KwaZulu-Natal Province, South Africa. Agrekon, 1-17. https://doi.org/10.1080/03031853.2026.2701043
Knight-Jones, T. J. D., Bulut, A. N., Gubbins, S., Stärk, K. D. C., Pfeiffer, D. U., Sumption, K. J., & Paton, D. J. (2014). Retrospective evaluation of foot-and-mouth disease vaccine effectiveness in Turkey. Vaccine, 32(16), 1848–1855. https://doi.org/10.1016/j.vaccine.2014.01.071
Mekonnen, T., & Gebremariam, T. (2024). Cattle artificial insemination service in developing countries: Efficiency, major challenges and economic loss: A review. Biotechnology Journal International, 28(4), 18–40. https://doi.org/10.9734/bji/2024/v28i4725
Monteiro, P. L., Consentini, C. E. C., Andrade, J. P. N., Beard, A. D., Garcia-Guerra, A., Sartori, R., & Wiltbank, M. C. (2023). Research on timed AI in beef cattle: Past, present and future, a 27-year perspective. Theriogenology, 211, 161-171. https://doi.org/10.1016/j.theriogenology.2023.07.037
Murti, N. T., Safitri, E., Srianto, P., Madyawati, S. P., & Rofikoh, A. R. (2024). Prevalence and progression of lumpy skin disease cases in cattle over the six months leading up to Eid al-Adha in 2023 in Cirebon District, West Java, Indonesia. IOP Conference Series: Earth and Environmental Science, 1292(1), 012037. https://doi.org/10.1088/1755-1315/1292/1/012037
Oltean, H. N., Lipton, B., Black, A., Snekvik, K., Haman, K., Buswell, M., ... & Baseman, J. G. (2025). Developing a one health data integration framework focused on real-time pathogen surveillance and applied genomic epidemiology. One Health Outlook, 7(1), 9. https://doi.org/10.1186/s42522-024-00133-5
Papa, M., Oliveira, S. R. M., & Bergier, I. (2024). Technologies in cattle traceability: A bibliometric analysis. Computers and Electronics in Agriculture, 227, 109459. https://doi.org/10.1016/j.compag.2024.109459
Papadakis, N., & Katsaprakakis, D. A. (2023). A review of energy efficiency interventions in public buildings. Energies, 16(17), 6329. https://doi.org/10.3390/en16176329
Paton, D. J., Valarcher, J.-F., Bergmann, I., Matlho, O. G., Zakharov, V. M., Palma, E. L., & Thomson, G. R. (2005). Selection of foot and mouth disease vaccine strains—A review. Revue Scientifique et Technique, 24(3), 981–993.
Prasetia, B. E., Primatika, R. A., & Nugroho, W. S. (2025). Spatial risk assessment of foot and mouth disease in Sukabumi regency, Indonesia: A GIS and multicriteria decision analysis approach. Research in Veterinary Science, 192, 105694. https://doi.org/10.1016/j.rvsc.2025.105694
Purwakarta Regency Department of Fisheries and Livestock. (2025a). Institutional performance accountability report 2025 [Unpublished government report].
Purwakarta Regency Department of Fisheries and Livestock. (2025b). Strategic plan 2025–2029 [Unpublished government planning document].
Purwakarta Regency Department of Fisheries and Livestock. (2025c). Institutional risk register 2025 [Unpublished government record].
Rawdon, T. G., Garner, M. G., Sanson, R. L., et al. (2022). Evaluating vaccination strategies to control foot-and-mouth disease: A model comparison study. Frontiers in Veterinary Science, 9, 837485. https://doi.org/10.3389/fvets.2022.837485
Republic of Indonesia. (2009). Law Number 18 of 2009 concerning animal husbandry and animal health.
Republic of Indonesia. (2014). Law Number 41 of 2014 amending Law Number 18 of 2009 concerning animal husbandry and animal health.
Rial, C., Laplacette, A., & Giordano, J. O. (2022). Effect of a targeted reproductive management program designed to prioritize insemination at detected estrus and optimize time to insemination on the reproductive performance of lactating dairy cows. Journal of Dairy Science, 105(10), 8411-8425. https://doi.org/10.3168/jds.2022-22082
Sartori, R., Consentini, C. E. C., Alves, R. L. O. R., Silva, L. O., & Wiltbank, M. C. (2023). Manipulation of follicle development to improve fertility of cattle in timed-artificial insemination programs. animal, 17, 100769. https://doi.org/10.1016/j.animal.2023.100769
Shanbehzadeh, M., Nopour, R., & Kazemi-Arpanahi, H. (2022). Designing a standardized framework for data integration between zoonotic diseases systems: Towards one health surveillance. Informatics in Medicine Unlocked, 30, 100893. https://doi.org/10.1016/j.imu.2022.100893
Singh, R. K., Sharma, G. K., Mahajan, S., Dhama, K., Basagoudanavar, S. H., Hosamani, M., Sreenivasa, B. P., Chaicumpa, W., Gupta, V. K., & Sanyal, A. (2019). Foot-and-mouth disease virus: Immunobiology, advances in vaccines and vaccination strategies addressing vaccine failures—An Indian perspective. Vaccines, 7(3), 90. https://doi.org/10.3390/vaccines7030090
Sitko, E. M., Di Croce, F. A., McNeel, A. K., Weigel, D. J., & Giordano, J. O. (2023). Effect of reproductive management programs that prioritized artificial insemination at detected estrus or timed artificial insemination on the economic performance of primiparous Holstein cows of different genetic merit for fertility. Journal of dairy science, 106(9), 6495-6514. https://doi.org/10.3168/jds.2022-22673
Stewart, J. L., Currin, J., Clark, S. G., Redifer, T., Givens, M. D., & Mercadante, V. R. (2023). Assessing pregnancy outcomes in cow-calf operations after administration of modified-live or killed virus vaccinations at the initiation of synchronization for fixed-time AI. Theriogenology, 200, 43-48. https://doi.org/10.1016/j.theriogenology.2023.01.027
Sumual, R., Poli, A., Basir, H., & Pabisa, D. (2024). The Effectiveness of The Family Planning Program In Controlling The Population Growth Rate In North Minahasa Regency, North Sulawesi Province. Jurnal Registratie, 6(2), 140-154. https://doi.org/10.33701/jurnalregistratie.v6i2.4943
Wienert, J., Jahnel, T., & Maaß, L. (2022). What are digital public health interventions? First steps toward a definition and an intervention classification framework. Journal of medical Internet research, 24(6), e31921. https://doi.org/10.2196/31921
World Organisation for Animal Health. (2024). Infection with foot and mouth disease virus. In Terrestrial Animal Health Code (Chapter 8.8). https://www.woah.org/fileadmin/Home/eng/Health_standards/tahc/current/chapitre_fmd.pdf
Zewdie, G., Akalu, M., Tolossa, W., Belay, H., Deresse, G., Zekarias, M., & Tesfaye, Y. (2023). A review of foot-and-mouth disease in Ethiopia: epidemiological aspects, economic implications, and control strategies. Virology Journal, 20(1), 299. https://doi.org/10.1186/s12985-023-02263-0
Copyright (c) 2026 Journal La Lifesci

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



