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

dc.creatorRasheed, A.
dc.creatorXia, X.
dc.creatorOgbonnaya, F.
dc.creatorMahmood, T.
dc.creatorZhang, Z.
dc.creatorMujeeb-Kazi, A.
dc.creatorHe Zhonghu
dc.date2019-01-11T20:48:49Z
dc.date2019-01-11T20:48:49Z
dc.date2014
dc.date.accessioned2023-07-17T20:03:20Z
dc.date.available2023-07-17T20:03:20Z
dc.identifier1471-2229
dc.identifierhttps://hdl.handle.net/10883/19764
dc.identifier10.1186/1471-2229-14-128
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7511639
dc.descriptionGrain 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.
dc.formatPDF
dc.languageEnglish
dc.publisherlicensee BioMed Central Ltd
dc.relationhttps://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-14-128#Sec34
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dc.rightsOpen Access
dc.source128
dc.source14
dc.sourceBMC Plant Biology
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectAssociation Mapping
dc.subjectDArT Markers
dc.subjectLinkage Disequilibrium Decay
dc.subjectThousand Kernel Weight
dc.subjectCHROMOSOME MAPPING
dc.subjectGRAIN
dc.subjectSEED CHARACTERISTICS
dc.subjectGENETIC MARKERS
dc.subjectQUANTITATIVE TRAIT LOCI
dc.subjectLINKAGE DISEQUILIBRIUM
dc.titleGenome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
dc.typeArticle
dc.coverageUnited Kingdom


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