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

Content Provider	PubMed Central
Author	Ishikawa, Goro Nakamura, Kazuhiro Ito, Hiroyuki Saito, Mika Sato, Mikako Jinno, Hironobu Yoshimura, Yasuhiro Nishimura, Tsutomu Maejima, Hidekazu Uehara, Yasushi Kobayashi, Fuminori Nakamura, Toshiki
Editor	He, Guangyuan
Copyright Year	2014
Abstract	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.
Related Links	http://dx.doi.org/10.1371/journal.pone.0111337
Starting Page	111337
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	10
Volume Number	9
Language	English
Publisher	Public Library of Science
Publisher Date	2014-10-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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