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Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis

Author: Rasheed, A.
Author: Xia, X.
Author: Ogbonnaya, F.
Author: Mahmood, T.
Author: Zhang, Z.
Author: Mujeeb-Kazi, A.
Author: He, Z.
Year: 2014
ISSN: 1471-2229
Descriptors: Linkage Disequilibrium
Descriptors: Association Mapping
Descriptors: DArT Marker
Descriptors: Linkage Disequilibrium Decay
Descriptors: Thousand Kernel Weight
Abstract: Grain size and shape greatly influence grain weight which ultimately enhances grain yield in wheat. Digital imaging (DI) based phenomic characterization can capture the three dimensional variation in grain size and shape than has hitherto been possible. In this study, we report the results from using digital imaging of grain size and shape to understand the relationship among different components of this trait, their contribution to enhance grain weight, and to identify genomic regions (QTLs) controlling grain morphology using genome wide association mapping with high density diversity array technology (DArT) and allele-specific markers.
Language: English
Publisher: licensee BioMed Central Ltd
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Type: Article
Place: United Kingdom
Journal issue: 128
Journal: BMC Plant Biology
Journal volume: 14
DOI: 10.1186/1471-2229-14-128
Audicence: Researchers

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  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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