Impact of reconstructed pedigrees on progeny-test breeding values in red spruce

Trevor K. Doerksen, Christophe M. Herbinger

Résultat de recherche: Articleexamen par les pairs

34 Citations (Scopus)

Résumé

Pedigrees reconstructed through DNA marker assigned paternities in polymix (PMX) and open pollinated (OP) progeny tests were analyzed using mixed models to test the effect of unequal male reproductive success and pedigree errors on quantitative genetic parameters. The reconstructed pedigree increased heritabilities in the larger PMX test. Increased heritability resulted from adding the paternities to the pedigree per se, not by correcting the male reproductive bias by specifying the exact pedigree. Removing hypothesized pedigree errors had no effect on quantitative parameters, either because the magnitude of the errors was too small (PMX) or the progeny test was too small to detect variance components reliably (OP). Although there was no advantage in backwards selection, the increased additive variance, heritabilities and accuracy of progeny with assigned paternities in the pedigree, should permit forward selection of offspring with greater genetic gain and complete control of coancestry for future breeding decisions. Some possible breeding population structures with the new genetic information are discussed.

Langue d'origineEnglish
Pages (de-à)591-600
Nombre de pages10
JournalTree Genetics and Genomes
Volume6
Numéro de publication4
DOI
Statut de publicationPublished - juill. 2010

Note bibliographique

Funding Information:
Acknowledgements We thank two anonymous reviewers for comments that improved the article. We thank Svetlana Shkuratova, Kyle Gardner and Sarah Reid at Dalhousie University; Howard Frame and Dave Steeves at the Nova Scotia Department of Natural Resources (Truro); and Rick Allen, Derek Geldart and Kari Easthouse at NewPage Corp. (formerly Stora-Enso, Port Hawkesbury). Funding was provided by an Atlantic Innovation Fund (ACOA) grant to the second author (CMH).

ASJC Scopus Subject Areas

  • Forestry
  • Molecular Biology
  • Genetics
  • Horticulture

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