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dc.contributor.authorMCCOUCH, S. R.pt_BR
dc.contributor.authorWRIGHT, M. H.pt_BR
dc.contributor.authorTUNG, C.-W.pt_BR
dc.contributor.authorMARON, L. G.pt_BR
dc.contributor.authorMCNALLY, K. L.pt_BR
dc.contributor.authorFITZGERALD, M.pt_BR
dc.contributor.authorDECLERCK, G.pt_BR
dc.contributor.authorAGOSTO-PEREZ, F.pt_BR
dc.contributor.authorKORNILIEV, P.pt_BR
dc.contributor.authorGREENBERG, A. J.pt_BR
dc.contributor.authorNAREDO, M. E. B.pt_BR
dc.contributor.authorMERCADO, S. M. Q.pt_BR
dc.contributor.authorHARRINGTON, S. E.pt_BR
dc.contributor.authorSHI, Y.pt_BR
dc.contributor.authorBRANCHINI, D. A.pt_BR
dc.contributor.authorFALCAO, P. R. K.pt_BR
dc.contributor.authorLEUNG, H.pt_BR
dc.contributor.authorEBANA, K.pt_BR
dc.contributor.authorYANO, M.pt_BR
dc.contributor.authorEIZENGA, G.pt_BR
dc.contributor.authorSINGH, N.pt_BR
dc.contributor.authorMCCLUNG, A.pt_BR
dc.contributor.authorMEZEY, J.pt_BR
dc.date.accessioned2017-04-11T16:01:31Z-
dc.date.available2017-04-11T16:01:31Z-
dc.date.created2017-04-05pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationNature Communications, p. 1-13, Feb, 2016.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1068128pt_BR
dc.descriptionIncreasing food production is essential to meet the demands of a growing human population, with its rising income levels and nutritional expectations. To address the demand, plant breeders seek new sources of genetic variation to enhance the productivity, sustainability and resilience of crop varieties. Here we launch a high-resolution, open-access research platform to facilitate genome-wide association mapping in rice, a staple food crop. The platform provides an immortal collection of diverse germplasm, a high-density single-nucleotide polymorphism data set tailored for gene discovery, well-documented analytical strategies, and a suite of bioinformatics resources to facilitate biological interpretation. Using grain length, we demonstrate the power and resolution of our new high-density rice array, the accompanying genotypic data set, and an expanded diversity panel for detecting major and minor effect QTLs and subpopulation-specific alleles, with immediate implications for rice improvement.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectDados genótipicospt_BR
dc.subjectBiologia computacionalpt_BR
dc.titleOpen access resources for genome-wide association mapping in rice.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-04-11T16:01:31Zpt_BR
dc.subject.thesagroGenomapt_BR
dc.subject.nalthesaurusGenomept_BR
dc.subject.nalthesaurusChromosome mappingpt_BR
dc.subject.nalthesaurusGenetic resourcespt_BR
dc.subject.nalthesaurusAllelespt_BR
dc.subject.nalthesaurusGenetic improvementpt_BR
dc.subject.nalthesaurusBioinformaticspt_BR
dc.subject.nalthesaurusgenespt_BR
dc.description.notesArticle number:10532.pt_BR
riaa.ainfo.id1068128pt_BR
riaa.ainfo.lastupdate2017-04-06pt_BR
dc.identifier.doi10.1038/ncomms10532pt_BR
dc.contributor.institutionSUSAN R. MCCOUCH, Cornell University, Ithaca; MARK H. WRIGHT, Cornell University, Ithaca; CHIH-WEI TUNG, Cornell University, Ithaca; LYZA G. MARON, Cornell University, Ithaca; KENNETH L. MCNALLY, IRRI; MELISSA FITZGERALD, IRRI; GENEVIEVE DECLERCK, Cornell University, Ithaca; FRANCISCO AGOSTO-PEREZ, Cornell University, Ithaca; PAVEL KORNILIEV, Cornell University, Ithaca; ANTHONY J. GREENBERG, Cornell University, Ithaca; MA. ELIZABETH B. NAREDO, IRRI; SHEILA MAE Q. MERCADO, IRRI; SANDRA E. HARRINGTON, Cornell University, Ithaca; YUXIN SHI, Cornell University, Ithaca; DARCY A. BRANCHINI, Cornell University, Ithaca; PAULA REGINA KUSER FALCAO, CNPTIA; HEI LEUNG, IRRI; KOWARU EBANA, IRRI; MASAHIRO YANO, National Institute of Agrobiological Sciences; GEORGIA EIZENGA, USDA–ARS; NAMRATA SINGH, Cornell University, Ithaca; ANNA MCCLUNG, USDA–ARS; JASON MEZEY, Cornell University, Ithaca.pt_BR
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