Predictive Characterization for Seed Morphometric Traits for Genebank Accessions Using Genomic Selection

cg.contactz.kehel@cgiar.orgen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerOklahoma State University - OSUen_US
cg.contributor.crpCGIAR Research Program on Wheat - WHEATen_US
cg.contributor.crpCGIAR Research Program on Genebanksen_US
cg.contributor.funderInternational Maize and Wheat Improvement Center - CIMMYTen_US
cg.contributor.projectCRP WHEAT Phase IIen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.creator.idKehel, Zakaria: 0000-0002-1625-043Xen_US
cg.creator.idSanchez-Garcia, Miguel: 0000-0002-9257-4583en_US
cg.creator.idAberkane, Hafid: 0000-0003-4092-389Xen_US
cg.creator.idTsivelikas, Athanasios: 0000-0001-6267-5079en_US
cg.creator.idAmri, Ahmed: 0000-0003-0997-0276en_US
cg.identifier.doihttps://dx.doi.org/10.3389/fevo.2020.00032en_US
cg.isijournalISI Journalen_US
cg.issn2296-701Xen_US
cg.journalFrontiers in Ecology and Evolutionen_US
cg.subject.agrovocgenebanksen_US
cg.subject.agrovocwheaten_US
cg.subject.agrovocgenomic selectionen_US
cg.subject.agrovoclandracesen_US
cg.subject.agrovocseed characteristicsen_US
cg.subject.agrovocwheaten_US
cg.volume8en_US
dc.contributorSanchez-Garcia, Miguelen_US
dc.contributorEl-Baouchi, Adilen_US
dc.contributorAberkane, Hafiden_US
dc.contributorTsivelikas, Athanasiosen_US
dc.contributorCharles, Chenen_US
dc.contributorAmri, Ahmeden_US
dc.creatorKehel, Zakariaen_US
dc.date.accessioned2020-03-24T14:58:33Z
dc.date.available2020-03-24T14:58:33Z
dc.description.abstractSeed traits of bread wheat, including the seed size that is considered to be associated with early vigor of the crop and end-use quality, are valuable to farmers and breeders. In this study, a collection of 789 bread wheat landraces, held in-trust at the genebank of the International Center for Agricultural Research in the Dry Areas (ICARDA) were scanned for seed morphometric traits using GrainScan. Diversity analysis using the 12k DartSeq SNP markers revealed that these accessions can be grouped into five distinct clusters. To evaluate the performance for early selection from genebank accessions, we examined the accuracy of genomic selection models with genomic relationship that these landraces accounted for. Based on cross-validations, prediction accuracies for seed traits ranged from 0.64 for seed perimeter to 0.74 for seed width. The variability of prediction accuracies across random validations averaged at 0.14, with a range from 0.12 to 0.18, suggesting stable predictability and reproducible results even with a collection of much greater genetic diversity from genebank accessions. Adding the climatic relationship matrix between accessions based on passport information improved the predictive ability by 8%. Our results on seed traits demonstrated the capacity for estimating important agronomic phenotypes for genebank accessions directly based on genomic information, further advocating the advance in genomic technologies for identifying parental germplasm as potential donors of beneficial alleles for introgression.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/a7a6fd1bf95ae9ec7541d1b1e898df32/v/f7ad9e0b61c2616b0eef693520de7cb2en_US
dc.identifier.citationZakaria Kehel, Miguel Sanchez-Garcia, Adil El-Baouchi, Hafid Aberkane, Athanasios Tsivelikas, Chen Charles, Ahmed Amri. (17/3/2020). Predictive Characterization for Seed Morphometric Traits for Genebank Accessions Using Genomic Selection. Frontiers in Ecology and Evolution, 8, pp. 1-11.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/10942
dc.languageenen_US
dc.publisherFrontiers Mediaen_US
dc.rightsCC-BY-4.0en_US
dc.sourceFrontiers in Ecology and Evolution;8,(2020) Pagination 1-11en_US
dc.titlePredictive Characterization for Seed Morphometric Traits for Genebank Accessions Using Genomic Selectionen_US
dc.typeJournal Articleen_US
dcterms.available2020-03-17en_US
dcterms.extent1-11en_US
mel.impact-factor2.686en_US

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