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Combining somatic cell count traits for optimal selection against mastitis.

J J Windig1, W Ouweltjes, J Ten Napel

  • 1Animal Breeding and Genomics Centre-Livestock Research, Wageningen UR, PO Box 65, NL-8200 AB Lelystad, the Netherlands. Jack.Windig@wur.nl

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Summary
This summary is machine-generated.

Selecting specific somatic cell count (SCC) traits can effectively reduce genetic susceptibility to both clinical mastitis (CM) and subclinical mastitis (SCM) in dairy cattle. A combination of five SCC traits offers high accuracy for breeding resistance.

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Area of Science:

  • Animal Genetics
  • Dairy Science
  • Mastitis Research

Background:

  • Somatic cell counts (SCC) are indicators of udder health in dairy animals.
  • Genetic susceptibility to clinical mastitis (CM) and subclinical mastitis (SCM) poses significant challenges in dairy production.
  • Alternative SCC traits offer potential for improving disease resistance.

Purpose of the Study:

  • To identify the optimal combination of alternative SCC traits for reducing genetic susceptibility to both CM and SCM.
  • To evaluate the utility of direct CM information in breeding strategies.
  • To assess the accuracy of selection indices for mastitis resistance.

Main Methods:

  • Estimation of genetic correlations between 10 SCC traits and CM/SCM using three independent datasets.
  • Development of selection indices for a breeding goal of 50% CM and 50% SCM resistance.
  • Resampling of correlations to account for estimation errors and recalculate index accuracy.

Main Results:

  • SCC traits most correlated with CM differed from those most correlated with SCM.
  • A combination of five specific SCC traits (early/late lactation SCC, infection suspicion, extent of increase, peak pattern) achieved high accuracy for the breeding goal.
  • The estimated accuracy of the selection index was 0.91, decreasing to 0.81 after accounting for estimation errors through resampling.
  • Incorporating direct CM information provided only a marginal improvement in accuracy.

Conclusions:

  • A targeted selection of five alternative SCC traits is highly effective for breeding programs aimed at reducing both CM and SCM.
  • The proposed selection index demonstrates robust accuracy, even when accounting for statistical uncertainties.
  • While direct CM data offers minor benefits, alternative SCC traits are primary drivers for improving mastitis resistance.