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

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

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20 páginas.- 7 figuras.- 2 tablas.- 93 referencias.- The online version contains supplementary material available at https://doi.org/10.1186/s12864-022-08747-7

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Bibliographic Details
Main Authors: Cappa, Eduardo P., Chen, Charles, Klutsch, Jennifer, Sebastián Azcona, Jaime, Ratcliffe, Blaise, Wei, Xiaojing, Da Ros, Letitia, Ullah, Aziz, Liu, Yang, Benowicz, Andy, Sadoway, Shane, Mansfield, S.D., Erbilgin, Nadir, Thomas, Barb R., El-Kassaby, Yousry A.
Other Authors: Genome Canada
Format: artículo biblioteca
Language:English
Published: Springer 2022-07-23
Subjects:Quantitative genetic parameters, Genomic prediction, Genome wide association analyses, Single- and multiple-trait mixed models, Lodgepole pine,
Online Access:http://hdl.handle.net/10261/279769
http://dx.doi.org/10.13039/100008762
http://dx.doi.org/10.13039/501100000190
http://dx.doi.org/10.13039/501100000145
http://dx.doi.org/10.13039/100000001
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http://hdl.handle.net/10261/279769
http://dx.doi.org/10.13039/100008762
http://dx.doi.org/10.13039/501100000190
http://dx.doi.org/10.13039/501100000145
http://dx.doi.org/10.13039/100000001

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