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

Cappa, Eduardo Pablo ; Chen, Charles ; Klutsch, Jennifer G...
http://hdl.handle.net/20.500.12123/14342. , 2022

Link: https://hdl.handle.net/20.500.12123/14342

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-ftargentinainta:oai:localhost:20.500.12123_14342&Exemplar=1&LAN=DE
				
A1 Cappa, Eduardo Pablo
A1 Chen, Charles
A1 Klutsch, Jennifer G
A1 Sebastian-Azcona, Jaime
A1 Ratcliffe, Blaise
A1 Wei, Xiaojing
A1 Da Ros, Letitia
A1 Ullan, Aziz
A1 Liu, Yang
A1 Bernowicz, Andy
A1 Sadoway, Shane
A1 Mansfield, Shawn D
A1 Erbilgin, Nadir
A1 Thomas, Barb R
A1 El-Kassaby, Yousry A
PB BMC
YR 2022
K1 Quantitative Genetics
K1 Marker-assisted Selection
K1 Genome-wide Association Studies
K1 Parameters
K1 Genética Quantitativa
K1 Selección Asistida por Marcadores
K1 Estudios de Asociación del Genoma Completo
K1 Pinus contorta
K1 Parámetros
K1 Genomic Prediction
K1 Single and Multiple Trait Mixed Models
K1 Predicción Genómica
K1 Modelos Mixtos de Rasgos Unicos y Múltiples
JF http://hdl.handle.net/20.500.12123/14342
LK http://dx.doi.org/https://hdl.handle.net/20.500.12123/14342
DO https://hdl.handle.net/20.500.12123/14342
SF ELIB - SuUB Bremen

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