Single-Step BLUP with Varying Genotyping Effort in Open-Pollinated Picea glauca
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Single-Step BLUP with Varying Genotyping Effort in Open-Pollinated Picea glauca
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Single-Step BLUP with Varying Genotyping Effort in Open-Pollinated Picea glauca
Popis výsledku anglicky
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
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40102 - Forestry
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
G3-Genes, Genomes, Genetics
ISSN
2160-1836
e-ISSN
—
Svazek periodika
7
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
8
Strana od-do
935-942
Kód UT WoS článku
000396114600017
EID výsledku v databázi Scopus
2-s2.0-85014931363