Open access resources for genome-wide association mapping in rice.

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dc.contributorSUSAN 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.
dc.creatorMCCOUCH, S. R.
dc.creatorWRIGHT, M. H.
dc.creatorTUNG, C.-W.
dc.creatorMARON, L. G.
dc.creatorMCNALLY, K. L.
dc.creatorFITZGERALD, M.
dc.creatorDECLERCK, G.
dc.creatorAGOSTO-PEREZ, F.
dc.creatorKORNILIEV, P.
dc.creatorGREENBERG, A. J.
dc.creatorNAREDO, M. E. B.
dc.creatorMERCADO, S. M. Q.
dc.creatorHARRINGTON, S. E.
dc.creatorSHI, Y.
dc.creatorBRANCHINI, D. A.
dc.creatorFALCAO, P. R. K.
dc.creatorLEUNG, H.
dc.creatorEBANA, K.
dc.creatorYANO, M.
dc.creatorEIZENGA, G.
dc.creatorSINGH, N.
dc.creatorMCCLUNG, A.
dc.creatorMEZEY, J.
dc.date2017-04-11T16:01:31Z
dc.date2017-04-11T16:01:31Z
dc.date2017-04-05
dc.date2016
dc.date2017-04-11T16:01:31Z
dc.date.accessioned2026-07-07T04:14:54Z
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.
dc.descriptionArticle number:10532.
dc.identifierNature Communications, p. 1-13, Feb, 2016.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1068128
dc.identifier10.1038/ncomms10532
dc.identifier.urihttp://hdl.handle.net/123456789/455426
dc.languageeng
dc.rightsopenAccess
dc.subjectDados genótipicos
dc.subjectBiologia computacional
dc.subjectGenoma
dc.subjectGenome
dc.subjectChromosome mapping
dc.subjectGenetic resources
dc.subjectAlleles
dc.subjectGenetic improvement
dc.subjectBioinformatics
dc.subjectgenes
dc.titleOpen access resources for genome-wide association mapping in rice.
dc.typeArtigo de periódico

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