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Genetics Selection Evolution

Open Access

Combined analysis of data from two granddaughter designs: A simple strategy for QTL confirmation and increasing experimental power in dairy cattle

  • Jörn Bennewitz1Email author,
  • Norbert Reinsch1,
  • Cécile Grohs2,
  • Hubert Levéziel2,
  • Alain Malafosse3,
  • Hauke Thomsen1,
  • Ningying Xu1,
  • Christian Looft1,
  • Christa Kühn4,
  • Gudrun A Brockmann4,
  • Manfred Schwerin4,
  • Christina Weimann5,
  • Stefan Hiendleder5,
  • Georg Erhardt5,
  • Ivica Medjugorac6,
  • Ingolf Russ6,
  • Martin Förster6,
  • Bertram Brenig7,
  • Fritz Reinhardt8,
  • Reinhard Reents8,
  • Gottfried Averdunk9,
  • Jürgen Blümel10,
  • Didier Boichard11 and
  • Ernst Kalm1
Genetics Selection Evolution200335:319

Received: 14 June 2002

Accepted: 5 December 2002

Published: 15 May 2003


A joint analysis of five paternal half-sib Holstein families that were part of two different granddaughter designs (ADR- or Inra-design) was carried out for five milk production traits and somatic cell score in order to conduct a QTL confirmation study and to increase the experimental power. Data were exchanged in a coded and standardised form. The combined data set (JOINT-design) consisted of on average 231 sires per grandsire. Genetic maps were calculated for 133 markers distributed over nine chromosomes. QTL analyses were performed separately for each design and each trait. The results revealed QTL for milk production on chromosome 14, for milk yield on chromosome 5, and for fat content on chromosome 19 in both the ADR- and the Inra-design (confirmed within this study). Some QTL could only be mapped in either the ADR- or in the Inra-design (not confirmed within this study). Additional QTL previously undetected in the single designs were mapped in the JOINT-design for fat yield (chromosome 19 and 26), protein yield (chromosome 26), protein content (chromosome 5), and somatic cell score (chromosome 2 and 19) with genomewide significance. This study demonstrated the potential benefits of a combined analysis of data from different granddaughter designs.


QTL mappinggranddaughter designcombined analysisQTL confirmationdairy cattle

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Authors’ Affiliations

Institut für Tierzucht und Tierhaltung, Christian-Albrechts-Universität, Kiel, Germany
Laboratoire de génétique biochimique et de cytogénétique, Institut national de la recherche agronomique, Jouy-en-Josas Cedex, France
Union nationale des coopératives d'élevage et d'insémination animale, Paris Cedex 12, France
Forschungsinstitut für die Biologie landwirtschaftlicher Nutztiere, Dummerstorf, Germany
Institut für Tierzucht und Haustiergenetik der Justus-Liebig-Universität, Gießen, Germany
Institut für Tierzucht der Ludwig-Maximilians-Universität, München, Germany
Institut für Veterinärmedizin der Georg-August-Universität, Göttingen, Germany
Vereinigte Informationssysteme Tierhaltung w.V, Verden, Germany
Bayerische Landesanstalt für Tierzucht, Grub, Germany
Institut für die Fortpflanzung landwirtschaftlicher Nutztiere, Schönow, Germany
Station de génétique quantitative et appliquée, Institut national de la recherche agronomique, Jouy-en-Josas Cedex, France


© INRA, EDP Sciences 2003