論文

査読有り
2014年12月

Identification of QTLs controlling harvest time and fruit skin color in Japanese pear (Pyrus pyrifolia Nakai)

BREEDING SCIENCE
  • Toshiya Yamamoto
  • Shingo Terakami
  • Norio Takada
  • Sogo Nishio
  • Noriyuki Onoue
  • Chikako Nishitani
  • Miyuki Kunihisa
  • Eiichi Inoue
  • Hiroyoshi Iwata
  • Takeshi Hayashi
  • Akihiro Itai
  • Toshihiro Saito
  • 全て表示

64
4
開始ページ
351
終了ページ
361
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1270/jsbbs.64.351
出版者・発行元
JAPANESE SOC BREEDING

Using an F-1 population from a cross between Japanese pear (Pyrus pyrifolia Nakai) cultivars 'Akiakari' and 'Taihaku', we performed quantitative trait locus (QTL) analysis of seven fruit traits (harvest time, fruit skin color, flesh firmness, fruit weight, acid content, total soluble solids content, and preharvest fruit drop). The constructed simple sequence repeat-based genetic linkage map of 'Akiakarr consisted of 208 loci and spanned 799 cM; that of 'Taihaku. consisted of 275 loci and spanned 1039 cM. Out of significant QTLs, two QTLs for harvest time, one for fruit skin color, and one for flesh firmness were stably detected in two successive years. The QTLs for harvest time were located at the bottom of linkage group (LG) Tai3 (nearest marker: BGA35) and at the top of LG Tail5 (nearest markers: PPACS2 and MEST050), in good accordance with results of genome-wide association study. The PPACS2 gene, a member of the ACC synthase gene family, may control harvest time, preharvest fruit drop, and fruit storage potential. One major QTL associated with fruit skin color was identified at the top of LG 8. QTLs identified in this study would be useful for marker-assisted selection in Japanese pear breeding programs.

リンク情報
DOI
https://doi.org/10.1270/jsbbs.64.351
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/25914590
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000349355500010&DestApp=WOS_CPL
ID情報
  • DOI : 10.1270/jsbbs.64.351
  • ISSN : 1344-7610
  • eISSN : 1347-3735
  • PubMed ID : 25914590
  • Web of Science ID : WOS:000349355500010

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