Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A76411" target="_blank" >RIV/60460709:41320/18:76411 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.plantsci.2018.03.014" target="_blank" >http://dx.doi.org/10.1016/j.plantsci.2018.03.014</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.plantsci.2018.03.014" target="_blank" >10.1016/j.plantsci.2018.03.014</a>
Alternative languages
Result language
angličtina
Original language name
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers
Original language description
We investigated the impact of combining the pedigree- and genomic-based relationship matrices in a multiple-trait individual-tree mixed model (a.k.a., multiple-trait combined approach) on the estimates of heritability and on the genomic correlations between growth and stem straightness in an open-pollinated Eucalyptus grandis population. Additionally, the added advantage of incorporating genomic information on the theoretical accuracies of parents and offspring breeding values was evaluated. Our results suggested that the use of the combined approach for estimating heritabilities and additive genetic correlations in multiple-trait evaluations is advantageous and that including genomic information increases the expected accuracy of breeding values. Furthermore, the multiple-trait combined approach was proven to be superior in predicting breeding values than the single-trait combined approach, in particular for low-heritability traits. Finally, our results advocate the use of the combined approach in f
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
10608 - Biochemistry and molecular biology
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLANT SCIENCE
ISSN
0168-9452
e-ISSN
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Volume of the periodical
271
Issue of the periodical within the volume
JUN2018
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
27-33
UT code for WoS article
000431162300004
EID of the result in the Scopus database
2-s2.0-85044141664