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Major advances in genetic evaluation techniques.

R L Powell1, H D Norman

  • 1Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350, USA. rpowell@aipl.arsusda.gov

Journal of Dairy Science
|March 16, 2006
PubMed
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Genetic evaluation in dairy cattle has advanced with new methods, more traits, and global data sharing. These improvements enhance breeding goals and manage inbreeding, driving future genetic progress.

Area of Science:

  • Animal Genetics
  • Dairy Science
  • Quantitative Genetics

Background:

  • Dairy cattle genetic evaluation has evolved significantly over the past 25 years, driven by technological and methodological advancements.
  • Increased computing power and data availability have enabled the evaluation of a wider range of traits beyond milk yield.
  • Globalization has led to international data sharing, impacting bull selection and genetic diversity.

Purpose of the Study:

  • To review the evolution of genetic evaluation methodologies in dairy cattle over the past quarter-century.
  • To highlight advancements in trait evaluation, computational capacity, and global data integration.
  • To discuss the impact of these changes on breeding practices, inbreeding management, and future genetic progress.

Main Methods:

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  • Transition from sire and sire-maternal grandsire models to more sophisticated animal models.
  • Integration of Bayesian theory and utilization of individual test-day observations in evaluation models.
  • Development and application of economic indices combining multiple traits for breeding goals.

Main Results:

  • Significant improvements in the accuracy and scope of genetic evaluations for dairy cattle.
  • Increased focus on non-yield traits due to their impact on profitability and antagonistic relationships with yield.
  • Globalized evaluations facilitate wider bull selection but necessitate strategies to manage increased inbreeding.

Conclusions:

  • Continued advancements in methodology, computing, and data integration are crucial for dairy cattle genetic improvement.
  • Managing inbreeding through revised methodologies and crossbreeding strategies is essential.
  • Genomic advancements hold future promise, but robust industry-wide data analysis remains the cornerstone of genetic progress.