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Multiple-trait analyses improved the accuracy of genomic pr..:

Eduardo P. Cappa ; Charles Chen ; Jennifer G. Klutsch...
https://doi.org/10.1186/s12864-022-08747-7. , 2022

Link: https://doi.org/10.1186/s12864-022-08747-7

RT Journal
T1 <Title>Multiple-trait analyses improved the accuracy of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:deff97b1e9a543a9a5b45433fc7b9c44&Exemplar=1&LAN=DE
				
A1 Eduardo P. Cappa
A1 Charles Chen
A1 Jennifer G. Klutsch
A1 Jaime Sebastian-Azcona
A1 Blaise Ratcliffe
A1 Xiaojing Wei
A1 Letitia Da Ros
A1 Aziz Ullah
A1 Yang Liu
A1 Andy Benowicz
A1 Shane Sadoway
A1 Shawn D. Mansfield
A1 Nadir Erbilgin
A1 Barb R. Thomas
A1 Yousry A. El-Kassaby
PB BMC
YR 2022
K1 Quantitative genetic parameters
K1 Genomic prediction
K1 Genome wide association analyses
K1 Single- and multiple-trait mixed models
K1 Lodgepole pine
K1 Biotechnology
K1 TP248.13-248.65
K1 Genetics
K1 QH426-470
JF https://doi.org/10.1186/s12864-022-08747-7
LK http://dx.doi.org/https://doi.org/10.1186/s12864-022-08747-7
DO https://doi.org/10.1186/s12864-022-08747-7
SF ELIB - SuUB Bremen

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