Breeding Science
Online ISSN : 1347-3735
Print ISSN : 1344-7610
ISSN-L : 1344-7610
Research Papers
Development of 12 sets of chromosome segment substitution lines that enhance allele mining in Asian cultivated rice
Kazufumi NagataYasunori NonoueKazuki MatsubaraRitsuko MizobuchiNozomi OnoTaeko ShibayaKaworu EbanaEri Ogiso-TanakaTakanari TanabataKazuhiko SugimotoFumio Taguchi-ShiobaraJun-ichi YonemaruYusaku UgaAtsunori FukudaTadamasa UedaShin-ichi YamamotoUtako YamanouchiToshiyuki TakaiTakashi IkkaKatsuhiko KondoTomoki HoshinoEiji YamamotoShunsuke AdachiJian SunNoriyuki KuyaYuka KitomiKen IijimaHideki NagasakiAyahiko ShomuraTatsumi MizubayashiNoriyuki KitazawaKiyosumi HoriTsuyu AndoToshio YamamotoShuichi FukuokaMasahiro Yano
著者情報
ジャーナル オープンアクセス HTML
電子付録

2023 年 73 巻 3 号 p. 332-342

詳細
抄録

Many agronomic traits that are important in rice breeding are controlled by multiple genes. The extensive time and effort devoted so far to identifying and selecting such genes are still not enough to target multiple agronomic traits in practical breeding in Japan because of a lack of suitable plant materials in which to efficiently detect and validate beneficial alleles from diverse genetic resources. To facilitate the comprehensive analysis of genetic variation in agronomic traits among Asian cultivated rice, we developed 12 sets of chromosome segment substitution lines (CSSLs) with the japonica background, 11 of them in the same genetic background, using donors representing the genetic diversity of Asian cultivated rice. Using these materials, we overviewed the chromosomal locations of 1079 putative QTLs for seven agronomic traits and their allelic distribution in Asian cultivated rice through multiple linear regression analysis. The CSSLs will allow the effects of putative QTLs in the highly homogeneous japonica background to be validated.

著者関連情報
© 2023 by JAPANESE SOCIETY OF BREEDING

This is an open-access article distributed under the terms of the Creative Commons Attribution (BY) License.
https://creativecommons.org/licenses/by/4.0/
前の記事 次の記事
feedback
Top