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dc.contributor.authorVan, Kyujungen
dc.contributor.authorRolling, Williamen
dc.contributor.authorBiyashev, Ruslan M.en
dc.contributor.authorMatthiesen, Rashelle L.en
dc.contributor.authorAbeysekara, Nilwala S.en
dc.contributor.authorRobertson, Alison E.en
dc.contributor.authorVeney, Deloris J.en
dc.contributor.authorDorrance, Anne E.en
dc.contributor.authorMcHale, Leah K.en
dc.contributor.authorMaroof, MA Saghai A. S.en
dc.date.accessioned2021-01-13T11:03:58Zen
dc.date.available2021-01-13T11:03:58Zen
dc.date.issued2020-11-16en
dc.identifierARTN e20063 (Article number)en
dc.identifier.issn1940-3372en
dc.identifier.urihttp://hdl.handle.net/10919/101871en
dc.description.abstractPhytophthora sojae causes Phytophthora root and stem rot of soybean and has been primarily managed through deployment of qualitative Resistance to P. sojae genes (Rps genes). The effectiveness of each individual or combination of Rps gene(s) depends on the diversity and pathotypes of the P. sojae populations present. Due to the complex nature of P. sojae populations, identification of more novel Rps genes is needed. In this study, phenotypic data from previous studies of 16 panels of plant introductions (PIs) were analyzed. Panels 1 and 2 consisted of 448 Glycine max and 520 G. soja, which had been evaluated for Rps gene response with a combination of P. sojae isolates. Panels 3 and 4 consisted of 429 and 460 G. max PIs, respectively, which had been evaluated using individual P. sojae isolates with complex virulence pathotypes. Finally, Panels 5–16 (376 G. max PIs) consisted of data deposited in the USDA Soybean Germplasm Collection from evaluations with 12 races of P. sojae. Using these panels, genome-wide association (GWA) analyses were carried out by combining phenotypic and SoySNP50K genotypic data. GWA models identified two, two, six, and seven novel Rps loci with Panels 1, 2, 3, and 4, respectively. A total of 58 novel Rps loci were identified using Panels 5–16. Genetic and phenotypic dissection of these loci may lead to the characterization of novel Rps genes that can be effectively deployed in new soybean cultivars against diverse P. sojae populations.en
dc.format.extent19 page(s)en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherWileyen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0en
dc.subjectLife Sciences & Biomedicineen
dc.subjectPlant Sciencesen
dc.subjectGenetics & Heredityen
dc.subjectQUANTITATIVE TRAIT LOCIen
dc.subjectF-SP GLYCINEAen
dc.subjectGENES CONFERRING RESISTANCEen
dc.subjectMAJOR GENEen
dc.subjectMODEL APPROACHen
dc.subjectRACESen
dc.subjectIDENTIFICATIONen
dc.subjectASSOCIATIONen
dc.subjectCULTIVARSen
dc.subjectHEILONGJIANGen
dc.subject0604 Geneticsen
dc.subject0607 Plant Biologyen
dc.subject0703 Crop and Pasture Productionen
dc.titleMining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybeanen
dc.typeArticle - Refereeden
dc.date.updated2021-01-13T11:03:56Zen
dc.description.versionPublished (Publication status)en
dc.contributor.departmentSchool of Plant and Environmental Sciencesen
dc.title.serialPlant Genomeen
dc.identifier.doihttps://doi.org/10.1002/tpg2.20063en
dc.type.otherArticleen
dc.type.otherEarly Accessen
dc.type.otherJournalen
dc.identifier.orcidSaghai-Maroof, Mohammad [0000-0002-1398-7110 (orcid)]en
dc.identifier.pmid33200586 (pubmed)en
dcterms.dateAccepted2020-09-05en
dc.identifier.eissn1940-3372en
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/School of Plant and Environmental Sciencesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Durelle Scotten
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/University Research Institutesen


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Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
License: Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International