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Related Experiment Videos

Evaluating sire selection practices using lifetime net income functions.

B G Cassell1, S M Jobst, M L McGilliard

  • 1Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061-0315, USA. bcassell@vt.edu

Journal of Dairy Science
|January 7, 2003
PubMed
Summary
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Dairy farmers can increase profits by utilizing artificial insemination (AI) for genetic improvement. Proven AI sires yield higher lifetime net income compared to non-AI or young AI sires, enhancing overall herd economic merit.

Area of Science:

  • Animal Science
  • Dairy Cattle Genetics
  • Agricultural Economics

Background:

  • Dairy farmers often underutilize artificial insemination (AI) for genetic improvement.
  • Economic benefits of superior sire selection are not always fully recognized.
  • Understanding lifetime economic merit is crucial for optimizing breeding strategies.

Purpose of the Study:

  • To quantify economic differences between AI and non-AI bulls.
  • To develop predictive models for progeny lifetime economic merit.
  • To compare sire selection policies for dairy herds.

Main Methods:

  • Calculated lifetime economic merit using two methods: with and without opportunity cost adjustment.
  • Compared income generated by daughters of proven AI bulls, non-AI bulls, and young AI sires.

Related Experiment Videos

  • Developed prediction equations using genetic evaluations for production, productive life, somatic cell score (SCS), and linear type traits.

    • Main Results:

    • Daughters of proven AI bulls generated $148 (fluid milk) and $120 (manufactured milk) more lifetime net income than daughters of non-AI bulls.
    • Daughters of proven AI bulls produced $60 more than daughters of young AI sires.
    • Prediction equations explained 14-18% of income variation; herd and year were more significant factors than sire genetic evaluations.

    Conclusions:

    • Proven AI sires significantly enhance lifetime economic merit in dairy cattle.
    • Merit indexes (Net Merit, Fluid Merit) are robust tools for identifying bulls that maximize progeny economic performance.
    • Improved sire selection through AI offers substantial economic advantages for dairy farmers.