Single-Step BLUP with Varying Genotyping Effort in Open-Pollinated Picea glauca

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A73048" target="_blank" >RIV/60460709:41320/17:73048 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1534/g3.116.037895" target="_blank" >http://dx.doi.org/10.1534/g3.116.037895</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1534/g3.116.037895" target="_blank" >10.1534/g3.116.037895</a>

Result language
angličtina
Original language name
Single-Step BLUP with Varying Genotyping Effort in Open-Pollinated Picea glauca
Original language description
Maximization of genetic gain in forest tree breeding programs is contingent on the accuracy of the predicted breeding values and precision of the estimated genetic parameters. We investigated the effect of the combined use of contemporary pedigree information and genomic relatedness estimates on the accuracy of predicted breeding values and precision of estimated genetic parameters as well as rankings of selection candidates using single-step genomic evaluation (HBLUP). In this study, two traits with diverse heritabilities (tree height and wood density) were assessed at various levels of family genotyping efforts (0, 25, 50, 75, 100%) from a population of white spruce (Picea glauca) consisting of 1,694 trees from 214 open-pollinated families, representing 43 provenances in Québec, Canada. The results revealed that HBLUP bivariate analysis is effective in reducing the known bias in heritability estimates of open-pollinated populations, as it exposes hidden relatedness, potential pedigree errors, and i
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40102 - Forestry

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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