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Related Experiment Videos

Productive life evaluations: calculation, accuracy, and economic value

P M VanRaden1, G R Wiggans

  • 1Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350, USA.

Journal of Dairy Science
|March 1, 1995
PubMed
Summary
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Corrigendum to "Changes in genetic trends in US dairy cattle since the implementation of genomic selection" (J. Dairy Sci. 106:1110-1129).

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Genetic selection for higher milk yield in Holstein cattle has positively impacted productive life, but further improvements are possible by integrating yield and productive life traits into breeding indexes for greater economic progress.

Area of Science:

  • Animal Science
  • Dairy Cattle Genetics
  • Reproductive Biology

Background:

  • Holstein cattle breeding has historically focused on yield and type traits.
  • Productive life is a critical economic trait in dairy cows, influenced by genetics and management.
  • Previous studies indicated a potential negative genetic correlation between yield and productive life.

Purpose of the Study:

  • To evaluate the genetic and phenotypic trends of productive life in Holstein cattle.
  • To assess the correlation between estimated breeding values for productive life and those for yield and type traits.
  • To determine the potential economic benefits of incorporating productive life into genetic selection indexes.

Main Methods:

  • Analysis of approximately 11 million Holstein records using animal model programs.

Related Experiment Videos

  • Calculation of predicted transmitting abilities (PTA) for productive life, yield, and type.
  • Estimation of genetic and phenotypic trends and correlations between traits.
  • Main Results:

    • A positive genetic trend for productive life was observed as a correlated response to selection for yield and type.
    • Phenotypic trend for productive life was slightly negative.
    • Active AI bulls showed minimal correlation between yield/type PTA and productive life PTA, while bulls born since 1980 showed positive correlations (.25–.36).

    Conclusions:

    • Integrating yield and productive life traits into a selection index can enhance economic progress by up to 4%.
    • Multitrait evaluations incorporating correlated traits like yield, type, and somatic cell score may improve reliability for productive life.
    • Balancing selection for yield with productive life is crucial for sustainable dairy cattle breeding programs.