Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 492575
Title The genomics of avian breeding time - an ecologically relevant trait for adaptation to climate change
Author(s) Gienapp, P.; Calus, M.P.L.; Laine, V.; Oers, K. van; Groenen, M.A.M.; Slate, J.; Visser, M.E.
Event XVth ESEB meeting, Lausanne, Switzerland, 2015-08-10/2015-08-14
Department(s) Animal Breeding and Genomics
Animal Breeding & Genomics
WIAS
Publication type Abstract in scientific journal or proceedings
Publication year 2015
Abstract Climate change has led to selection on phenological traits such as avian seasonal breeding time and hence evolutionary rescue will be necessary to ensure population persistence in the long-term. Numerous quantitative genetic studies in wild populations have shown that avian seasonal breeding time is heritable, yet no study could show the expected evolutionary change. One possible explanation for this ‘evolutionary stasis’ is that heritability estimates are inflated by environmental conditions shared among relatives. A good understanding of the genetics of avian breeding time is thus crucial to predict whether this trait can respond to selection. We here explored the genomic basis of avian seasonal breeding time in a wild bird species, the great tit, using our recently assembled and annotated whole genome sequence and high-density SNP-chip of this bird species. We genotyped 2000 individuals with known egglaying dates from our long-term study population on a 675k SNP-chip and identified genomic regions related to breeding time using both QTL-mapping and by quantifying locus-specific allele-substitution effects using a genomic-breeding approach.
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