Genomic prediction accuracies in space and time for height and wood density of Douglas-fir using exome capture as the genotyping platform
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A74923" target="_blank" >RIV/60460709:41320/17:74923 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1186/s12864-017-4258-5" target="_blank" >http://dx.doi.org/10.1186/s12864-017-4258-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s12864-017-4258-5" target="_blank" >10.1186/s12864-017-4258-5</a>
Alternative languages
Result language
angličtina
Original language name
Genomic prediction accuracies in space and time for height and wood density of Douglas-fir using exome capture as the genotyping platform
Original language description
Genomic selection (GS) can offer unprecedented gains, in terms of cost efficiency and generation turnover, to forest tree selective breeding, especially for late expressing and low heritability traits. Here, we used 1) exome capture as a genotyping platform for 1372 Douglas-fir trees representing 37 full sib families growing on three sites in British Columbia, Canada and 2) height growth and wood density (EBVs), and deregressed estimated breeding values (DEBVs) as phenotypes. Representing models with (EBVs) and without (DEBVs) pedigree structure. Ridge regression best linear unbiased predictor (RRBLUP) and generalized ridge regression (GRR) were used to assess their predictive accuracies over space (within site, cross sites, multi site, and multi site to single site) and time (age to age and trait to trait). The RRBLUP and GRR models produced similar predictive accuracies across the studied traits. Within site GS prediction accuracies with models trained on EBVs were high (RRBLUP from 0,79 to 0,91 an
Czech name
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Czech description
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Classification
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
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
BMC GENOMICS
ISSN
1471-2164
e-ISSN
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Volume of the periodical
18
Issue of the periodical within the volume
930
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
16
Pages from-to
1-16
UT code for WoS article
000416966500001
EID of the result in the Scopus database
2-s2.0-85036477155