Open Access

A method for the dynamic management of genetic variability in dairy cattle

  • Jean-Jacques Colleau1Email author,
  • Sophie Moureaux1, 2,
  • Michèle Briend1 and
  • Jérôme Bechu3
Genetics Selection Evolution200436:373

DOI: 10.1186/1297-9686-36-4-373

Received: 18 August 2003

Accepted: 1 March 2004

Published: 15 July 2004

Abstract

According to the general approach developed in this paper, dynamic management of genetic variability in selected populations of dairy cattle is carried out for three simultaneous purposes: procreation of young bulls to be further progeny-tested, use of service bulls already selected and approval of recently progeny-tested bulls for use. At each step, the objective is to minimize the average pairwise relationship coefficient in the future population born from programmed matings and the existing population. As a common constraint, the average estimated breeding value of the new population, for a selection goal including many important traits, is set to a desired value. For the procreation of young bulls, breeding costs are additionally constrained. Optimization is fully analytical and directly considers matings. Corresponding algorithms are presented in detail. The efficiency of these procedures was tested on the current Norman population. Comparisons between optimized and real matings, clearly showed that optimization would have saved substantial genetic variability without reducing short-term genetic gains.

Keywords

relationship coefficient mating optimization breeding scheme

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Authors’ Affiliations

(1)
Station de génétique quantitative et appliquée, Institut national de la recherche agronomique
(2)
Institut de l'élevage
(3)
Génétique Normande Avenir

Copyright

© INRA, EDP Sciences 2004

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