Drawbacks of Artificial Insemination in Farm Animals in India
Pandiri Keerthana*1, Arya M Narkhede1, M.S. Bawaskar2, D.S. Raghuwanshi2, A.P. Gawande2 and M.S. Patil2
- PhD Scholar, Department of ARGO, NVC, Nagpur
- Professor, Department of ARGO, NVC, Nagpur
Department of Animal Reproduction, Gynaecology and Obstetrics
Nagpur Veterinary College,
Maharashtra Animal & Fishery Sciences University-440006, Nagpur
Email ID: keerthanapandiri2307@gmail.com (Corresponding author)
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Abstract / Summary
Artificial insemination (AI) is now commonly used for breeding cattle and buffaloes in India. It allows farmers to use semen from selected, genetically superior bulls without keeping a breeding bull on every farm. However, AI does not result in pregnancy every time. Government of India data reported in 2025 showed an overall AI success rate of about 32–35%, based on data reported through the Bharat Pashudhan system. This means that a considerable number of inseminations do not result in pregnancy. Poor heat detection, wrong timing, poor nutrition, reproductive diseases, improper semen handling and lack of skilled technicians can all affect the outcome. Therefore, AI should be seen as one part of reproductive management rather than a guaranteed way of getting an animal pregnant.
Keywords: Artificial insemination, conception rate, fertility, cattle, buffalo, reproductive management, farm animals
Introduction
Artificial insemination has become an important breeding method in Indian dairy farming. It allows semen from selected bulls to be used in many females and gives farmers access to superior genetics without maintaining a breeding bull on their own farm.
The use of AI has increased considerably in India. During 2024–25, around 565.55 lakh artificial inseminations were reported across the country. However, the reported national AI success rate was only around 32–35% (Department of Animal Husbandry & Dairying [DAHD], 2025).
Major Drawbacks of Artificial Insemination
- Difficulty in Detecting Heat
One of the most common reasons for poor AI results is missing the correct heat period. If an animal is inseminated too early or too late, the chances of pregnancy can decrease.
Heat signs are sometimes easy to miss, especially in buffaloes, where heat may be weak or occur mainly during cooler parts of the day. Farmers may therefore call the AI technician at the wrong time.
Regular observation of animals, particularly in the morning and evening, can help identify heat more accurately.
- Dependence on Skilled Technicians
AI is not simply a matter of putting semen into the reproductive tract. The technician needs to identify the animal’s reproductive stage, handle the semen correctly and deposit it at the appropriate site.
If the procedure is performed incorrectly, conception may be affected. In some villages, limited availability of trained AI workers can also make timely insemination difficult.
- Improper Semen Storage and Handling
Frozen semen must be stored in liquid nitrogen at very low temperatures. Poor storage or careless handling can damage sperm cells.
Incorrect thawing, unnecessary exposure of semen to higher temperatures or poor handling during transport can reduce semen quality. Even good-quality semen may give poor results if the cold chain is not maintained properly.
- Poor Nutrition
AI cannot correct problems caused by poor feeding. Animals that are very thin or losing weight may have weak or irregular reproductive cycles and lower chances of conception.
Adequate energy, protein, minerals and vitamins are needed for normal reproductive function. Farmers should therefore make sure that animals are properly fed before and after breeding (Noakes et al., 2019).
- Reproductive Diseases
Uterine infections, ovarian problems and other reproductive disorders can prevent an animal from becoming pregnant. Repeatedly inseminating such animals without finding the actual problem can increase the farmer’s expenses without improving the result.
Animals with a history of repeat breeding, abnormal discharge or previous reproductive problems should be examined by a veterinarian before repeated insemination.
- Repeated Insemination Increases Cost
When an animal does not become pregnant, the farmer has to wait until the next heat and arrange another insemination. This means additional labour and service costs.
Repeated failure also increases the time between two calvings and may reduce the productive efficiency of the animal. Therefore, an animal that repeatedly fails to conceive should be investigated rather than inseminated again and again.
- Limited Availability of AI Services
AI services are not equally accessible in all parts of India. Some farmers, particularly those in remote areas, may have difficulty getting an AI technician at the right time.
According to the National Dairy Development Board, AI coverage among breedable bovines remains limited and varies considerably between regions (National Dairy Development Board, n.d.). Poor transport, shortage of trained personnel and lack of awareness can further affect timely breeding.
- AI Does Not Replace Good Breeding Management
AI is a breeding method, not a treatment for infertility. If an animal has poor nutrition, uterine infection, ovarian problems or another reproductive disorder, simply performing AI will not solve the problem.
Similarly, using semen from a superior bull does not guarantee pregnancy. The health of the female, timing of insemination, semen quality and overall management all contribute to the final result.
- Genetic Improvement Requires Proper Selection
One major advantage of AI is access to semen from genetically selected bulls. However, genetic improvement is successful only when suitable breeding animals are selected and proper records are maintained.
Farmers should use semen from approved sources and, where information is available, consider the genetic and production characteristics of the breeding bull. Random selection of semen may reduce the expected benefit of a genetic improvement programme.
How Can Farmers Improve AI Success?
Farmers can improve the chances of conception by following a few simple practices:
- Observe animals regularly for heat.
- Call the AI technician at the appropriate time.
- Maintain good body condition.
- Provide balanced feed and mineral supplementation.
- Keep animals healthy and treat reproductive infections promptly.
- Use semen from approved and reliable sources.
- Ensure proper semen storage and handling.
- Use trained AI technicians.
- Confirm pregnancy after breeding.
- Investigate animals that repeatedly fail to conceive.
Indian field studies show that conception rates can vary considerably depending on management and animal-related factors. For example, a study of AI-bred cattle under field conditions in Bihar reported a conception rate of 52.16% (Bansal et al., 2019). Another field study in buffaloes reported an overall conception rate of 48.01%, with differences associated with factors such as body condition, parity and agro-climatic conditions (Bhave et al., 2016).
These field-study results should not be directly compared with the national programme-level AI success figure because the populations, locations and methods of measurement are different.
Conclusion
Artificial insemination has an important role in improving the genetic potential of farm animals in India. However, AI alone cannot guarantee pregnancy. The national AI success rate reported in 2025 was around 32–35%, showing that there is considerable scope to improve reproductive management.
Poor heat detection, incorrect timing, poor nutrition, reproductive diseases, semen handling problems and lack of skilled personnel can all reduce AI success. Farmers should therefore look at AI as part of a complete reproductive management programme.
Good feeding, regular heat observation, healthy breeding animals, proper semen handling, trained technicians and timely pregnancy diagnosis can help reduce repeat inseminations and reproductive losses. In simple words, successful AI starts before the technician arrives and continues until pregnancy is confirmed.
References
Bansal, K., Bhagat, R. L., Sinha, A. K., Yadav, A. L., & Phadke, N. L. (2019). Factors affecting conception rate in AI bred cattle under field conditions of Bihar. Indian Journal of Animal Sciences, 89(1), 96–100.
Bhave, K. G., Khadse, J. R., Gaundare, Y. S., & Mangurkar, B. R. (2016). Factors affecting conception rates in AI bred buffaloes in field conditions. Indian Journal of Animal Sciences, 86(12).
Department of Animal Husbandry & Dairying. (2025). Artificial insemination. Ministry of Fisheries, Animal Husbandry & Dairying, Government of India.
National Dairy Development Board. (n.d.). Artificial insemination (AI) services. NDDB.
Noakes, D. E., Parkinson, T. J., & England, G. C. W. (Eds.). (2019). Veterinary reproduction and obstetrics (10th ed.). Elsevier.
