論文

査読有り
2021年8月

Identification and Validation of QTLs for Yield and Yield Components under Long-Term Salt Stress Using IR64 CSSLs in the Genetic Background of Koshihikari and Their Backcross Progenies

Agriculture
  • Nguyen Sao Mai
  • ,
  • Dao Duy Hanh
  • ,
  • Mai Nakashima
  • ,
  • Kotaro Kumamoto
  • ,
  • Nguyen Thi Thu Thuy
  • ,
  • Tohru Kobata
  • ,
  • Kuniyuki Saitoh
  • ,
  • Yoshihiko Hirai

11
8
開始ページ
777
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/agriculture11080777
出版者・発行元
MDPI

Unraveling the complex genetic bases and mechanisms underlying salt tolerance is of great importance for developing salt-tolerant varieties. In this study, we evaluated 42 chromosome segment substitution lines (CSSLs) carrying chromosome segments from IR64 on the genetic background of Koshihikari under salt stress. Two CSSLs, SL2007 and SL2038, produced higher plant dry weight and grain yield than did Koshihikari under the stress condition. These CSSLs also showed lower Na+ and Cl- accumulation in the leaf and whole plant at the full heading stage, which might be related to the higher grain yield and yield components. To understand the genetic control of its grain yield and yield components, a SL2007/Koshihikari F-2 population was generated for quantitative trait locus (QTL) analysis. Six QTLs for grain yield and yield-related traits were detected on chromosome 2. Using near-isogenic lines (NILs) from a SL2007/Koshihikari F-5 population, qSTGY2.2 was delimited to a 2.5 Mb region and novel qSTPN2 was delimited to a 0.6 Mb region. We also detected a novel QTL, qSTGF2, for grain filling, which was considered an important contributor to grain yield under salt stress in this CSSL. Our results provide insights into mechanisms conferring grain yield under salinity stress and new genetic resources for cloning and breeding.

リンク情報
DOI
https://doi.org/10.3390/agriculture11080777
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000688690100001&DestApp=WOS_CPL
ID情報
  • DOI : 10.3390/agriculture11080777
  • eISSN : 2077-0472
  • Web of Science ID : WOS:000688690100001

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