Genomic Prediction of Tree Height, Wood Stiffness, and Male Flower Quantity Traits across Two Generations in Selected Individuals of <i>Cryptomeria japonica</i> D. Don (Japanese Cedar)

Genomic Prediction of Tree Height, Wood Stiffness, and Male Flower Quantity Traits across Two Generations in Selected Individuals of <i>Cryptomeria japonica</i> D. Don (Japanese Cedar)

Breeding long-lived trees is challenging, but it has been shown that genomic information can be used to improve efficiency. In this study, genomic prediction (GP) was tested on selected individuals of a two-generation breeding population of <i>Cryptomeria japonica</i>, the most common pl...

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Bibliographic Details
Main Authors: Atsushi Ejima, Kentaro Uchiyama, Hideki Mori, Yoshihiko Tsumura
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Forests
Subjects:
genomic selection
<i>Cryptomeria japonica</i> (Japanese cedar)
RAD-seq
Bayesian GP models
intergenerational kinship
Online Access:https://www.mdpi.com/1999-4907/14/10/2097

Internet

https://www.mdpi.com/1999-4907/14/10/2097

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