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Detection of genes influencing economic traits in three French dairy cattle breeds

  • Didier BoichardEmail author
  • Cécile Grohs
  • Florence Bourgeois
  • Frédérique Cerqueira
  • Rémi Faugeras
  • André Neau
  • Rachel Rupp
  • Yves Amigues
  • Marie Yvonne Boscher
  • Hubert Levéziel
Open Access
Research

Abstract

A project of QTL detection was carried out in the French Holstein, Normande, and Montbéliarde dairy cattle breeds. This granddaughter design included 1 548 artificial insemination bulls distributed in 14 sire families and evaluated after a progeny-test for 24 traits (production, milk composition, persistency, type, fertility, mastitis resistance, and milking ease). These bulls were also genotyped for 169 genetic markers, mostly microsatellites. The QTL were analysed by within-sire linear regression of daughter yield deviations or deregressed proofs on the probability that the son receives one or the other paternal QTL allele, given the marker information. QTL were detected for all traits, including those with a low heritability. One hundred and twenty QTL with a chromosome-wise significance lower than 3% were tabulated. This threshold corresponded to a 15% false discovery rate. Amongst them, 32 were genome-wise significant. Estimates of their contribution to genetic variance ranged from 6 to 40%. Most substitution effects ranged from 0.6 to 1.0 genetic standard deviation. For a given QTL, only 1 to 5 families out of 14 were informative. The confidence intervals of the QTL locations were large and always greater than 20 cM. This experiment confirmed several already published QTL but most of them were original, particularly for non-production traits.

Keywords

dairy cattle QTL detection genetic marker granddaughter design 

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Copyright information

© INRA, EDP Sciences 2003

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Didier Boichard
    • 1
    Email author
  • Cécile Grohs
    • 2
  • Florence Bourgeois
    • 3
  • Frédérique Cerqueira
    • 3
  • Rémi Faugeras
    • 3
  • André Neau
    • 4
  • Rachel Rupp
    • 1
  • Yves Amigues
    • 3
  • Marie Yvonne Boscher
    • 3
  • Hubert Levéziel
    • 2
  1. 1.Station de génétique quantitative et appliquéeInstitut national de la recherche agronomiqueJouy-en-Josas CedexFrance
  2. 2.Laboratoire de génétique biochimique et de cytogénétiqueInstitut national de la recherche agronomiqueJouy-en-Josas CedexFrance
  3. 3.GIE LabogenaJouy-en-Josas CedexFrance
  4. 4.Département de génétique animaleInstitut national de la recherche agronomiqueJouy-en-Josas CedexFrance

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