Genomic selection of juvenile height across a single-generational gap in Douglas-fir

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F19%3A79168" target="_blank" >RIV/60460709:41320/19:79168 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.nature.com/articles/s41437-018-0172-0" target="_blank" >https://www.nature.com/articles/s41437-018-0172-0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41437-018-0172-0" target="_blank" >10.1038/s41437-018-0172-0</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Genomic selection of juvenile height across a single-generational gap in Douglas-fir

Popis výsledku v původním jazyce

Thus far, cross-validation within the same generation has been the most common method of Genomic Selection (GS) validation, but does not reflect trans-generational selective breeding application. Here we perform cross-generational GS analysis on coastal Douglas-fir (Pseudotsuga menziesii), using exome capture as the genotyping platform. A total of 1,321 trees, representing 37 full-sib F1 families from 3 sites in British Columbia, Canada, were used as the training population for: 1) EBVs (estimated breeding values) of juvenile height in the F1 generation predicting genomic EBVs of juvenile height of 136 individuals in the F2 generation, 2) deregressed EBVs of F1 juvenile height predicting deregressed genomic EBVs of F2 juvenile height, and 3) F1 mature height predicting juvenile height in F2. Ridge regression best linear unbiased predictor (RR-BLUP), generalized ridge regression (GRR), and Bayes-B GS methods were used and compared to pedigree based (ABLUP) predictions. GS prediction accuracies for sce

Název v anglickém jazyce

Genomic selection of juvenile height across a single-generational gap in Douglas-fir

Popis výsledku anglicky

Thus far, cross-validation within the same generation has been the most common method of Genomic Selection (GS) validation, but does not reflect trans-generational selective breeding application. Here we perform cross-generational GS analysis on coastal Douglas-fir (Pseudotsuga menziesii), using exome capture as the genotyping platform. A total of 1,321 trees, representing 37 full-sib F1 families from 3 sites in British Columbia, Canada, were used as the training population for: 1) EBVs (estimated breeding values) of juvenile height in the F1 generation predicting genomic EBVs of juvenile height of 136 individuals in the F2 generation, 2) deregressed EBVs of F1 juvenile height predicting deregressed genomic EBVs of F2 juvenile height, and 3) F1 mature height predicting juvenile height in F2. Ridge regression best linear unbiased predictor (RR-BLUP), generalized ridge regression (GRR), and Bayes-B GS methods were used and compared to pedigree based (ABLUP) predictions. GS prediction accuracies for sce

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

HEREDITY

ISSN

0018-067X

e-ISSN

—

Svazek periodika

122

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

16

Strana od-do

848-863

Kód UT WoS článku

000467255800012

EID výsledku v databázi Scopus

2-s2.0-85059850954