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Moderate Prenatal Alcohol Exposure and Quantification of Social Behavior in Adult Rats
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Using pooled data to estimate variance components and breeding values for traits affected by social interactions.

Katrijn Peeters1, Esther Dorien Ellen, Piter Bijma

  • 1Animal Breeding and Genomics Centre, Wageningen University, P,O, Box 338, 6700 AH Wageningen, The Netherlands. katrijn.peeters@wur.nl.

Genetics, Selection, Evolution : GSE
|July 30, 2013
PubMed
Summary

Estimating total genetic variance and breeding values from pooled animal data is possible, but not direct or indirect genetic components. Optimal accuracy is achieved when group members are from the same family.

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Area of Science:

  • Quantitative genetics
  • Animal breeding
  • Genomic selection

Background:

  • Social interactions influence phenotypes through direct and indirect genetic effects.
  • Estimating genetic variances is crucial for predicting population response to selection.
  • Individual phenotyping can be costly, leading to the use of group-level data.

Purpose of the Study:

  • To assess the feasibility of estimating genetic variances and breeding values from pooled group data.
  • To determine optimal group composition for minimizing estimation errors.
  • To evaluate the impact of using pooled data on selection response.

Main Methods:

  • Theoretical derivations to establish estimation principles.
  • Simulation studies to investigate variance component estimation and group composition.
  • Analysis of pooled and individual survival records from 12,944 purebred laying hens.

Main Results:

  • Total genetic variance and breeding values can be estimated from pooled data.
  • Direct and indirect genetic covariances cannot be accurately estimated from pooled data.
  • Estimates are most accurate when group members are from the same family.
  • Correlation between breeding values from individual and pooled data is close to one for hen survival.

Conclusions:

  • Pooled data allows estimation of total genetic variance and breeding values.
  • Underlying direct and indirect genetic components are not estimable from pooled data.
  • Grouping individuals from the same family maximizes estimation accuracy.
  • Minimal loss in selection response is expected when using pooled data for traits like hen survival.