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Improvement of the efficiency of beef cattle breeding programmes: towards new genetic evaluation models

Alban Bouquet
Abstract : Released in the 1980's and in the early 1990's, the statistical models used for genetic evaluations of beef cattle breeding stocks with on-farm performance recording (IBOVAL) and in central and progeny test stations rely on simple hypotheses which induce biases in the prediction of breeding values. These biases can imply a non optimal choice of breeding stocks and therefore reduce the short-term selection efficiency. They can also reduce long-term selection efficiency because they tend to designate breeding stocks to select among well-known parental lineages. Genetic diversity of the three main French beef cattle populations (Blonde d'Aquitaine, Charolais and Limousin) was also described using pedigree analyses. This study showed that genetic diversity is still large in these populations and sufficient to guarantee genetic gain in the next generations. The work achieved in this thesis also contributes to the improvement of beef cattle selection schemes by proposing new statistical models to eliminate some biases in beef cattle genetic evaluations.
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Submitted on : Wednesday, March 10, 2010 - 8:00:00 AM
Last modification on : Monday, October 19, 2020 - 11:11:39 AM
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Alban Bouquet. Improvement of the efficiency of beef cattle breeding programmes: towards new genetic evaluation models. Life Sciences [q-bio]. AgroParisTech, 2009. English. ⟨NNT : 2009AGPT0063⟩. ⟨pastel-00005713⟩

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