論文

査読有り
2014年10月

Association Mapping and Validation of QTLs for Flour Yield in the Soft Winter Wheat Variety Kitahonami

PLOS ONE
  • Goro Ishikawa
  • Kazuhiro Nakamura
  • Hiroyuki Ito
  • Mika Saito
  • Mikako Sato
  • Hironobu Jinno
  • Yasuhiro Yoshimura
  • Tsutomu Nishimura
  • Hidekazu Maejima
  • Yasushi Uehara
  • Fuminori Kobayashi
  • Toshiki Nakamura
  • 全て表示

9
10
開始ページ
e111337
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1371/journal.pone.0111337
出版者・発行元
PUBLIC LIBRARY SCIENCE

The winter wheat variety Kitahonami shows a superior flour yield in comparison to other Japanese soft wheat varieties. To map the quantitative trait loci (QTL) associated with this trait, association mapping was performed using a panel of lines from Kitahonami's pedigree, along with leading Japanese varieties and advanced breeding lines. Using a mixed linear model corrected for kernel types and familial relatedness, 62 marker-trait associations for flour yield were identified and classified into 21 QTLs. In eighteen of these, Kitahonami alleles showed positive effects. Pedigree analysis demonstrated that a continuous pyramiding of QTLs had occurred throughout the breeding history of Kitahonami. Linkage analyses using three sets of doubled haploid populations from crosses in which Kitahonami was used as a parent were performed, leading to the validation of five of the eight QTLs tested. Among these, QTLs on chromosomes 3B and 7A showed highly significant and consistent effects across the three populations. This study shows that pedigree-based association mapping using breeding materials can be a useful method for QTL identification at the early stages of breeding programs.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0111337
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/25360619
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000343943700085&DestApp=WOS_CPL
ID情報
  • DOI : 10.1371/journal.pone.0111337
  • ISSN : 1932-6203
  • PubMed ID : 25360619
  • Web of Science ID : WOS:000343943700085

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