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Related Experiment Video

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Transition of Farm Pigs to Research Pigs using a Designated Checklist followed by Initiation of Clicker Training - a Refinement Initiative

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Will AI in pigs become more efficient?

J Roca¹, I Parrilla¹, A Bolarin²

¹Department of Medicine and Animal Surgery, Faculty of Veterinary Medicine, University of Murcia, Murcia, Spain.

|January 3, 2016

Summary

This summary is machine-generated.

Artificial intelligence (AI) in pig breeding shows promise but faces efficiency challenges with liquid semen. Research aims to improve outcomes using frozen-thawed semen for better swine reproduction and trade.

Keywords:

Fixed-time AI Frozen-thawed semen Seminal plasma Sexed sperm Swine

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Area of Science:

Animal Science
Reproductive Biology
Artificial Intelligence Applications

Background:

Artificial intelligence (AI) is currently used globally in commercial pig breeding, achieving fertility rates comparable to natural mating.
The current AI application relies solely on liquid-stored semen, limiting its efficiency and scalability, with each boar inseminating approximately 2000 sows annually.
The reliance on liquid semen restricts international trade and impedes genetic progress in swine populations.

Purpose of the Study:

To review research efforts focused on enhancing the efficiency of artificial insemination (AI) in commercial pig breeding.
To explore methods for reducing the sperm count required per insemination, thereby improving the practicality of using sexed semen.
To facilitate the adoption of frozen-thawed semen in large-scale swine artificial insemination programs.

Main Methods:

Review of existing scientific literature and research on AI in swine reproduction.
Analysis of studies investigating sperm preservation techniques, particularly freezing and thawing of boar semen.
Evaluation of research focused on optimizing sperm dosage and insemination protocols for reduced sperm numbers.

Main Results:

Current AI practices using liquid semen are effective but suboptimal in terms of boar utilization and genetic dissemination.
Ongoing research shows potential for reducing the number of sperm needed for successful fertilization.
Advancements in semen processing and AI techniques are paving the way for the use of frozen-thawed semen.

Conclusions:

Improving AI efficiency in pig breeding is crucial for maximizing genetic potential and expanding trade.
The development and implementation of protocols for using sexed, frozen-thawed semen are key to overcoming current limitations.
Further research and practical application of these advancements will significantly benefit the swine industry.