Mapping quantitative trait loci for growth and wood property traits in Cryptomeria japonica across multiple environments

被引:0
|
作者
Hideki Mori
Saneyoshi Ueno
Tokuko Ujino-Ihara
Takeshi Fujiwara
Kana Yamashita
Seiichi Kanetani
Ryota Endo
Asako Matsumoto
Kentaro Uchiyama
Yukari Matsui
Takahiro Yoshida
Yoshimi Sakai
Yoshinari Moriguchi
Ryouichi Kusano
Yoshihiko Tsumura
机构
[1] Forestry and Forest Products Research Institute,Graduate School of Science and Technology
[2] Forest Bio-Research Center,Faculty of Life and Environmental Sciences
[3] Forestry and Forest Products Research Institute,undefined
[4] Kyushu Research Center,undefined
[5] Forestry and Forest Products Research Institute,undefined
[6] Forestry Research Institute,undefined
[7] Chiba Prefectural Agriculture and Forestry Research Center,undefined
[8] Kumamoto Prefecture Forestry Research Center,undefined
[9] Niigata University,undefined
[10] University of Tsukuba,undefined
来源
Tree Genetics & Genomes | 2019年 / 15卷
关键词
Sugi; QTLs; Biomass; Wood moisture content;
D O I
暂无
中图分类号
学科分类号
摘要
Genomic regions which affected tree growth and wood property traits were investigated in the major plantation tree of Japan, Cryptomeria japonica, in three replicated common garden experiments planted in contrasting environments in Kyushu and Honshu, Japan. Phenotypic traits measured were stem diameter at breast height, tree height, wood strength (Young’s modulus), heartwood density, sapwood density, heartwood moisture content, and sapwood moisture content. Quantitative trait locus (QTL) analysis identified an average of 53 QTLs across the three environments. There were two QTLs which affected the same traits across all three environments. These stable QTLs were identified as being associated with sapwood density and Young’s modulus and explained 3.5–11.3% and 2.1–18.7% of the total genotypic variation, respectively. In contrast, the majority of QTLs detected were unique to only one environment, a finding which is consistent with QTL mapping studies of other forest trees, indicating a substantial contribution of environmental effects on the mapping progenies. Nonetheless, the two stable QTLs identified in this study could be important genomic regions to target for further research aimed at maximizing breeding efficiency and wood quality of C. japonica across wide environmental gradients.
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