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Identification of genetic loci for grain yield-related traits in the wheat population Zhongmai 578/Jimai 22

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摘要 The identification of stable quantitative trait locus(QTL)for yield-related traits and tightly linked molecular markers is important for improving wheat grain yield.In the present study,six yield-related traits in a recombinant inbred line(RIL)population derived from the Zhongmai 578/Jimai 22 cross were phenotyped in five environments.The parents and 262 RILs were genotyped using the wheat 50K single nucleotide polymorphism(SNP)array.A high-density genetic map was constructed with 1501 non-redundant bin markers,spanning 2384.95 cM.Fifty-three QTLs for six yield-related traits were mapped on chromosomes 1D(2),2A(9),2B(6),2D,3A(2),3B(2),4A(5),4D,5B(8),5D(2),7A(7),7B(3)and 7D(5),which explained 2.7-25.5%of the phenotypic variances.Among the 53 QTLs,23 were detected in at least three environments,including seven for thousand-kernel weight(TKW),four for kernel length(KL),four for kernel width(KW),three for average grain filling rate(GFR),one for kernel number per spike(KNS)and four for plant height(PH).The stable QTLs QKl.caas-2A.1,QKl.caas-7D,QKw.caas-7D,QGfr.caas-2B.1,QGfr.caas-4A,QGfr.caas-7A and QPh.caas-2A.1 are likely to be new loci.Six QTL-rich regions on 2A,2B,4A,5B,7A and 7D,showed pleiotropic effects on various yield traits.TaSus2-2B and WAPO-A1 are potential candidate genes for the pleiotropic regions on 2B and 7A,respectively.The pleiotropic QTL on 7D for TKW,KL,KW and PH was verified in a natural population.The results of this study enrich our knowledge of the genetic basis underlying yield-related traits and provide molecular markers for high-yield wheat breeding.
出处 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2023年第7期1985-1999,共15页 农业科学学报(英文版)
基金 This work was funded by the Core Research Budget of the Non-profit Governmental Research Institutions,Institute of Crop Sciences,CAAS(S2022ZD04) the Agricultural Science and Technology Innovation Program,CAAS(CAAS-ZDRW202002) the Young Elite Scientists Sponsorship Program by China Association for Science and Technology(CAST)(2020QNRC001).
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