Prediction accuracies for growth and wood attributes of interior spruce in space using genotyping-by-sequencing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F15%3A67069" target="_blank" >RIV/60460709:41320/15:67069 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1186/s12864-015-1597-y" target="_blank" >http://dx.doi.org/10.1186/s12864-015-1597-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s12864-015-1597-y" target="_blank" >10.1186/s12864-015-1597-y</a>

Result language

angličtina

Original language name

Prediction accuracies for growth and wood attributes of interior spruce in space using genotyping-by-sequencing

Original language description

Genomic selection (GS) in forestry can substantially reduce the length of breeding cycle and increase gain per unit time through early selection and greater selection intensity, particularly for traits with low heritability and late expression. Affordable next-generation sequencing technologies made it possible to genotype large numbers of trees at a reasonable cost. Genotyping-by-sequencing was used to genotype 1,126 Interior spruce trees representing 25 open-pollinated families planted over three sites. Trees were phenotyped for several yield and wood attributes. Single- and multi-site GS prediction models were developed using the Ridge Regression Best Linear Unbiased Predictor (RR-BLUP) and the Generalized Ridge Regression (GRR) to test different assumption about traits architecture. The RR-BLUP GS prediction model produced better accuracies than the GRR supporting traits? complex architecture. GS prediction accuracies for multi-site were high and better than those of single-sites w

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GK - Forestry

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

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

Name of the periodical

BMC GENOMICS

ISSN

1471-2164

e-ISSN

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Volume of the periodical

16

Issue of the periodical within the volume

370

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

16

Pages from-to

1-16

UT code for WoS article

000354175900004

EID of the result in the Scopus database

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