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Analysis of contributors to grain yield in wheat at the individual quantitative trait locus level
Author(s) -
Yu Ma,
Mao ShuangLin,
Hou DaBin,
Chen GuoYue,
Pu ZhiEn,
Li Wei,
Lan XiuJin,
Jiang QianTao,
Liu YaXi,
Deng Mei,
Wei YuMing
Publication year - 2018
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/pbr.12555
Subject(s) - quantitative trait locus , biology , triticeae , locus (genetics) , population , trait , grain yield , genetics , tiller (botany) , inbred strain , agronomy , gene , genome , sociology , computer science , programming language , demography
In wheat, strong genetic correlations have been found between grain yield ( GY ) and tiller number per plant ( TN ), fertile spikelet number per spike ( FSN ), kernel number per spike ( KN ) and thousand‐kernel weight ( TKW ). To investigate their genetic relationships at the individual quantitative trait locus ( QTL ) level, we performed both normal and multivariate conditional QTL analysis based on two recombinant inbred lines ( RIL s) populations. A total of 79 and 48 normal QTL s were identified in the International Triticeae Mapping Initiative ( ITMI )/ SHW ‐L1 × Chuanmai 32 ( SC ) populations, respectively, as well as 55 and 35 conditional QTL s. Thirty‐two QTL clusters in the ITMI population and 18 QTL clusters in the SC population explained 0.9%–46.2% of phenotypic variance for two to eight traits. A comparison between the normal and conditional QTL mapping analyses indicated that FSN made the smallest contribution to GY among the four GY components that were considered at the QTL level. The effects of TN , KN and TKW on GY were stronger at the QTL level.