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

Genomic prediction (GP) and genome-wide association (GWA) analyses are currently being employed to accelerate breeding cycles and to identify alleles or genomic regions of complex traits in forest trees species. Here, 1490 interior lodgepole pine (Pinus contorta Dougl. ex. Loud. var. latifolia Engel...

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Main Authors:	Cappa, Eduardo Pablo, Chen, Charles, Klutsch, Jennifer G., Sebastian-Azcona, Jaime, Ratcliffe, Blaise, Wei, Xiaojing, Da Ros, Letitia, Ullan, Aziz, Liu, Yang, Bernowicz, Andy, Sadoway, Shane, Mansfield, Shawn D., Erbilgin, Nadir, Thomas, Barb R., El-Kassaby, Yousry A.
Format:	Artículo
Language:	Inglés
Published:	BMC 2023
Subjects:	Quantitative Genetics Marker-assisted Selection Genome-wide Association Studies Parameters Genética Quantitativa Selección Asistida por Marcadores Estudios de Asociación del Genoma Completo Pinus contorta Parámetros Genomic Prediction Single and Multiple Trait Mixed Models Predicción Genómica Modelos Mixtos de Rasgos Unicos y Múltiples
Online Access:	http://hdl.handle.net/20.500.12123/14342 https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-022-08747-7 https://doi.org/10.1186/s12864-022-08747-7