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dc.contributor.authorJuliana, Philominen_US
dc.contributor.authorXinyao Heen_US
dc.contributor.authorPoland, Jesse A.en_US
dc.contributor.authorRoy, Krishna K.en_US
dc.contributor.authorMalaker, Paritosh K.en_US
dc.contributor.authorVinod Kumar Mishraen_US
dc.contributor.authorChand, Rameshen_US
dc.contributor.authorShrestha, Sandeshen_US
dc.contributor.authorKumar, Uttamen_US
dc.contributor.authorRoy, Chandanen_US
dc.contributor.authorGahtyari, Navin C.en_US
dc.contributor.authorJoshi, Arun Kumaren_US
dc.contributor.authorSingh, Ravi P.en_US
dc.contributor.authorSingh, Pawan K.en_US
dc.date.accessioned2023-01-05T09:09:07Zen_US
dc.date.available2023-01-05T09:09:07Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/126596en_US
dc.titleGenomic selection for spot blotch in bread wheat breeding panels, full-sibs and half-sibs and index-based selection for spot blotch, heading and plant heighten_US
cg.authorship.typesCGIAR and developing country instituteen_US
cg.authorship.typesCGIAR and advanced research instituteen_US
dcterms.abstractA major biotic stress challenging bread wheat production in regions characterized by humid and warm weather is spot blotch caused by the fungus Bipolaris sorokiniana. Since genomic selection (GS) is a promising selection tool, we evaluated its potential for spot blotch in seven breeding panels comprising 6736 advanced lines from the International Maize and Wheat Improvement Center. Our results indicated moderately high mean genomic prediction accuracies of 0.53 and 0.40 within and across breeding panels, respectively which were on average 177.6% and 60.4% higher than the mean accuracies from fixed effects models using selected spot blotch loci. Genomic prediction was also evaluated in full-sibs and half-sibs panels and sibs were predicted with the highest mean accuracy (0.63) from a composite training population with random full-sibs and half-sibs. The mean accuracies when full-sibs were predicted from other full-sibs within families and when full-sibs panels were predicted from other half-sibs panels were 0.47 and 0.44, respectively. Comparison of GS with phenotypic selection (PS) of the top 10% of resistant lines suggested that GS could be an ideal tool to discard susceptible lines, as greater than 90% of the susceptible lines discarded by PS were also discarded by GS. We have also reported the evaluation of selection indices to simultaneously select non-late and non-tall genotypes with low spot blotch phenotypic values and genomic-estimated breeding values. Overall, this study demonstrates the potential of integrating GS and index-based selection for improving spot blotch resistance in bread wheat.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.available2022-04-13en_US
dcterms.bibliographicCitationJuliana, P., He, X., Poland, J., Roy, K. K., Malaker, P. K., Mishra, V. K., Chand, R., Shrestha, S., Kumar, U., Roy, C., Gahtyari, N. C., Joshi, A. K., Singh, R. P., & Singh, P. K. (2022). Genomic selection for spot blotch in bread wheat breeding panels, full-sibs and half-sibs and index-based selection for spot blotch, heading and plant height. Theoretical and Applied Genetics, 135(6), 1965–1983. https://hdl.handle.net/10883/22063en_US
dcterms.issued2022-06en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherSpringer Science and Business Media LLCen_US
dcterms.subjectfoodsen_US
dcterms.subjectbiotic stressen_US
dcterms.subjectsoft wheaten_US
dcterms.subjectgenomicsen_US
dcterms.subjectplant heighten_US
dcterms.subjectgenesen_US
dcterms.typeJournal Articleen_US
cg.contributor.affiliationBorlaug Institute for South Asiaen_US
cg.contributor.affiliationInternational Maize and Wheat Improvement Centeren_US
cg.contributor.affiliationKing Abdullah University of Science and Technologyen_US
cg.contributor.affiliationBangladesh Wheat and Maize Research Instituteen_US
cg.contributor.affiliationBanaras Hindu Universityen_US
cg.contributor.affiliationKansas State Universityen_US
cg.contributor.affiliationBihar Agricultural Universityen_US
cg.contributor.affiliationIndian Council of Agricultural Researchen_US
cg.identifier.urlhttps://hdl.handle.net/10883/22063en_US
cg.identifier.doihttps://doi.org/10.1007/s00122-022-04087-yen_US
cg.placeGermanyen_US
cg.isijournalISI Journalen_US
cg.contributor.crpWheaten_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.creator.identifierPhilomin Juliana: 0000-0001-6922-0173en_US
cg.creator.identifierXinyao He: 0000-0003-0217-9510en_US
cg.creator.identifierUTTAM KUMAR: 0000-0002-6618-3810en_US
cg.creator.identifierJesse Poland: 0000-0002-7856-1399en_US
cg.creator.identifierArun Kumar Joshi: 0000-0003-4205-9329en_US
cg.creator.identifierRavi Prakash Singh: 0000-0002-4676-5071en_US
cg.creator.identifierPawan Singh: 0000-0003-4610-3120en_US
cg.contributor.donorBill & Melinda Gates Foundationen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.donorForeign, Commonwealth and Development Office, United Kingdomen_US
cg.contributor.donorFoundation for Food and Agriculture Researchen_US
cg.contributor.donorUnited States Agency for International Developmenten_US
cg.contributor.donorIndian Council of Agricultural Researchen_US
cg.reviewStatusPeer Reviewen_US
cg.howPublishedFormally Publisheden_US
cg.journalTheoretical and Applied Geneticsen_US
cg.issn1432-2242en_US
cg.volume135en_US
cg.issue6en_US
cg.subject.actionAreaGenetic Innovationen_US
cg.contributor.initiativeAccelerated Breedingen_US


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