Genome-wide association analysis of kernel morphology in breeding lines derived from synthetic hexaploid wheat in Qinghai Province, China

H. Wang; D. Cao; W. Chen; D. Liu; B. Liu; H. Zhang

doi:10.1556/0806.46.2018.022

Cereal Research Communications

Volume/Issue:: Volume 46: Issue 3

Genome-wide association analysis of kernel morphology in breeding lines derived from synthetic hexaploid wheat in Qinghai Province, China

Authors:

H. Wang

H. Wang Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Xining 810008, China
University of Chinese Academy of Sciences, Beijing 100049, China
Chinese Academy of Sciences, Xining 810008, China

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D. Cao

D. Cao Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Xining 810008, China
University of Chinese Academy of Sciences, Beijing 100049, China
Chinese Academy of Sciences, Xining 810008, China

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W. Chen

W. Chen Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Xining 810008, China
Chinese Academy of Sciences, Xining 810008, China

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D. Liu

D. Liu Sichuan Agricultural University, Chengdu, Sichuan 611130, China

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B. Liu

B. Liu Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Xining 810008, China
Chinese Academy of Sciences, Xining 810008, China

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, and

H. Zhang

H. Zhang Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Xining 810008, China
University of Chinese Academy of Sciences, Beijing 100049, China
Chinese Academy of Sciences, Xining 810008, China

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Pages:: 399–411

Online Publication Date:: Sep 2018

Publication Date:: 01 Sep 2018

Article Category:: Research Article

DOI:: https://doi.org/10.1556/0806.46.2018.022

Keywords:: Genome-wide association; kernel morphology; Synthetic hexaploid wheat

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Wheat kernel morphology is a very important trait for wheat yield improvement. This is the first report of association analysis of kernel morphology traits in wheat breeding lines. In Qinghai, China, the research described here involved genome-wide association analysis in breeding lines derived from synthetic hexaploid wheat with a mixed linear model to identify the quantitative trait loci (QTLs) related to kernel morphology. The 8033 effective Diversity Array Technology (DArT) markers produced a genetic map of 5901.84 cM with an average density of 1.36 markers/cM. Population structure analysis classified 507 breeding lines into three groups by Bayesian structure analysis using unlinked markers. Linkage disequilibrium decay was observed with a map coverage of 2.78 cM. Marker-trait association analysis showed that 15 DArT markers for kernel morphology were detected, located on nine chromosomes, and explained 2.6%–4.0% of the phenotypic variation of kernel area (KA), kernel width (KW), kernel length (KL) and thousand-kernel weight (TKW). The marker 1139297 was related to both the KL and KA traits. Only six DArT markers were close to known QTLs. The parent SHW-L1 carried eight favored alleles, while other seven favored alleles were derived from elite common wheat cultivars. These QTLs, identified in elite breeding lines, should help us understand the kernel morphology trait better, and to provide germplasm for breeding new wheat cultivars for Qinghai Province or other regions.

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Cereal Research Communications A Quarterly of the Cereal Research Non-Profit Ltd. Company

Print ISSN:: 0133-3720

Online ISSN:: 1788-9170

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Cereal Research Communications
Language	English
Size	A4
Year of Foundation	1973
Volumes per Year	1
Issues per Year	4
Founder	Akadémiai Kiadó
Founder's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher	Akadémiai Kiadó Springer Nature Switzerland AG
Publisher's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245. CH-6330 Cham, Switzerland Gewerbestrasse 11.
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ISSN	0133-3720 (Print)
ISSN	1788-9170 (Online)