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

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 usin...

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Detalles Bibliográficos
Autores: Rasheed, A., Xianchun Xia, Ogbonnaya, F.C., Mahmood, T., Zhang, Z., Mujeeb-Kazi, A., He Zhonghu
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:México
Institución:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/19764
Acceso en línea:https://hdl.handle.net/10883/19764
Access Level:acceso abierto
Palabra clave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Association Mapping
DArT Markers
Linkage Disequilibrium Decay
Thousand Kernel Weight
CHROMOSOME MAPPING
GRAIN
SEED CHARACTERISTICS
GENETIC MARKERS
QUANTITATIVE TRAIT LOCI
LINKAGE DISEQUILIBRIUM
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spelling Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysisRasheed, A.Xianchun XiaOgbonnaya, F.C.Mahmood, T.Zhang, Z.Mujeeb-Kazi, A.He ZhonghuAGRICULTURAL SCIENCES AND BIOTECHNOLOGYAssociation MappingDArT MarkersLinkage Disequilibrium DecayThousand Kernel WeightCHROMOSOME MAPPINGGRAINSEED CHARACTERISTICSGENETIC MARKERSQUANTITATIVE TRAIT LOCILINKAGE DISEQUILIBRIUMGrain 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.licensee BioMed Central Ltd2019-01-11T20:48:49Z2019-01-11T20:48:49Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePDFapplication/pdf1471-2229https://hdl.handle.net/10883/1976410.1186/1471-2229-14-12814BMC Plant Biology128reponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYTinstname:Centro Internacional de Mejoramiento de Maíz y Trigoinstacron:CIMMYTEnglishhttps://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-14-128#Sec34United KingdomCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.Open Accessinfo:eu-repo/semantics/openAccessoai:repository.cimmyt.org:10883/197642024-10-11T19:58:18Z
dc.title.none.fl_str_mv Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
title Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
spellingShingle Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
Rasheed, A.
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Association Mapping
DArT Markers
Linkage Disequilibrium Decay
Thousand Kernel Weight
CHROMOSOME MAPPING
GRAIN
SEED CHARACTERISTICS
GENETIC MARKERS
QUANTITATIVE TRAIT LOCI
LINKAGE DISEQUILIBRIUM
title_short Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
title_full Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
title_fullStr Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
title_full_unstemmed Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
title_sort Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
dc.creator.none.fl_str_mv Rasheed, A.
Xianchun Xia
Ogbonnaya, F.C.
Mahmood, T.
Zhang, Z.
Mujeeb-Kazi, A.
He Zhonghu
author Rasheed, A.
author_facet Rasheed, A.
Xianchun Xia
Ogbonnaya, F.C.
Mahmood, T.
Zhang, Z.
Mujeeb-Kazi, A.
He Zhonghu
author_role author
author2 Xianchun Xia
Ogbonnaya, F.C.
Mahmood, T.
Zhang, Z.
Mujeeb-Kazi, A.
He Zhonghu
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Association Mapping
DArT Markers
Linkage Disequilibrium Decay
Thousand Kernel Weight
CHROMOSOME MAPPING
GRAIN
SEED CHARACTERISTICS
GENETIC MARKERS
QUANTITATIVE TRAIT LOCI
LINKAGE DISEQUILIBRIUM
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Association Mapping
DArT Markers
Linkage Disequilibrium Decay
Thousand Kernel Weight
CHROMOSOME MAPPING
GRAIN
SEED CHARACTERISTICS
GENETIC MARKERS
QUANTITATIVE TRAIT LOCI
LINKAGE DISEQUILIBRIUM
description 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.
publishDate 2014
dc.date.none.fl_str_mv 2014
2019-01-11T20:48:49Z
2019-01-11T20:48:49Z
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 1471-2229
https://hdl.handle.net/10883/19764
10.1186/1471-2229-14-128
identifier_str_mv 1471-2229
10.1186/1471-2229-14-128
url https://hdl.handle.net/10883/19764
dc.language.none.fl_str_mv English
language_invalid_str_mv English
dc.relation.none.fl_str_mv https://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-14-128#Sec34
dc.rights.none.fl_str_mv Open Access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Open Access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv PDF
application/pdf
dc.coverage.none.fl_str_mv United Kingdom
dc.publisher.none.fl_str_mv licensee BioMed Central Ltd
publisher.none.fl_str_mv licensee BioMed Central Ltd
dc.source.none.fl_str_mv 14
BMC Plant Biology
128
reponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
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instacron:CIMMYT
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instacron_str CIMMYT
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reponame_str Repositorio Institucional de Publicaciones Multimedia del CIMMYT
collection Repositorio Institucional de Publicaciones Multimedia del CIMMYT
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