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Journal of Integrative Agriculture  2023, Vol. 22 Issue (7): 1985-1999    DOI: 10.1016/j.jia.2022.12.002
Crop Science Advanced Online Publication | Current Issue | Archive | Adv Search |
Identification of genetic loci for grain yield‑related traits in the wheat population Zhongmai 578/Jimai 22
LIU Dan1, ZHAO De-hui1, 2, ZENG Jian-qi1, Rabiu Sani SHAWAI1, 3, TONG Jing-yang1, LI Ming1, LI Fa-ji1, 4, ZHOU Shuo5, HU Wen-li6, XIA Xian-chun1, TIAN Yu-bing1, ZHU Qian7, WANG Chun-ping2, WANG De-sen1, HE Zhong-hu1, 8, LIU Jin-dong1, 9#, ZHANG Yong1#
1 Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, P.R.China
2 College of Agriculture, Henan University of Science & Technology, Luoyang 471000, P.R.China
3 Department of Crop Science, Faculty of Agriculture and Agricultural Technology, Aliko Dangote University of Science and Technology Wudil, Kano 713281, Nigeria
4 Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, P.R.China
5 Institute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050051, P.R.China
6 Gaoyi Stock Seed Station, Shijiazhuang 053110, P.R.China
7 Shangqiu Academy of Agricultural and Forestry Sciences, Shangqiu 476000, P.R.China
8 International Maize and Wheat Improvement Center (CIMMYT), China Office, c/o CAAS, Beijing 100081, P.R.China
9 Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, P.R.China
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发掘稳定的数量性状位点(Quantitative trait lociQTL,并开发其紧密连锁分子标记进一步提高小麦产量的重要途径本研究以中麦578/济麦22重组自交系(Recombinant inbreed linesRIL)群体262个家系为材料,通过调查两年五个环境千粒重、粒长、粒宽、平均灌浆速率、穗粒数和株高共六个产量相关性状利用50K SNP芯片基因型分析数据,构建了含有1501bin标记的遗传连锁图谱,图谱总长度2384.95 cM。利用完备区间作图法,在1D2、2A9、2B6、2D、3A2、3B2、4A5、4D、5B8、5D2、7A7、7B3)和7D5染色体上共定位到53个产量相关QTL,可解释表型变异的2.7–25.5%其中23QTL可在3个以上环境定位到,表现稳定;QKl.caas-2A.1QKl.caas-7DQKw.caas-7DQGfr.caas-2B.1QGfr.caas-4AQGfr.caas-7AQPh.caas-2A.17QTL可能是新的位点。定位到的一因多效QTL共形成六个富集区段(R1–R6),分别包含2–6QTL,位于2A2B4A5B7A7D染色体TaSus2-2BWAPO-A1分别是位于2B7A染色体上一因多效QTL的候选基因。7D染色体上的QTL富集区段内含有4个稳定QTL,分别控制千粒重、粒长、粒宽和株高,利用与其紧密连锁的侧翼标记,开发了KASP标记,在自然群体中对其效应进行了验证。本研究结果为小麦高产育种和中麦578的进一步改良提供基因和分子标记

Abstract  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 1 501 non-redundant bin markers, spanning 2 384.95 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.
Keywords:  grain yield       KASP marker        QTL mapping        SNP chip  
Received: 21 July 2022   Online: 21 December 2022   Accepted: 03 November 2022
Fund: 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), and the Young Elite Scientists Sponsorship Program by China Association for Science and Technology (CAST) (2020QNRC001).
About author:  LIU Dan, E-mail:; #Correspondence ZHANG Yong, Tel: +86-10-82108745, E-mail:; LIU Jin-dong, Tel: +86-10-82108889, E-mail:

Cite this article: 

LIU Dan, ZHAO De-hui, ZENG Jian-qi, Rabiu Sani SHAWAI, TONG Jing-yang, LI Ming, LI Fa-ji, ZHOU Shuo, HU Wen-li, XIA Xian-chun, TIAN Yu-bing, ZHU Qian, WANG Chun-ping, WANG De-sen, HE Zhong-hu, LIU Jin-dong, ZHANG Yong. 2023. Identification of genetic loci for grain yield‑related traits in the wheat population Zhongmai 578/Jimai 22. Journal of Integrative Agriculture, 22(7): 1985-1999.

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