Open access resources for genome-wide association mapping in rice

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dc.creatorMcCouch, Susan R.
dc.creatorWright, Mark H.
dc.creatorTung, Chih-Wei
dc.creatorMaron, Lyza G.
dc.creatorMcNally, Kenneth L.
dc.creatorFitzgerald, Melissa
dc.creatorSingh, Namrata
dc.creatorDeClerck, Genevieve
dc.creatorAgosto-Perez, Francisco
dc.creatorKorniliev, Pavel
dc.creatorGreenberg, Anthony J.
dc.creatorNaredo, Ma. Elizabeth B.
dc.creatorMercado, Sheila Mae Q.
dc.creatorHarrington, Sandra E.
dc.creatorShi, Yuxin
dc.creatorBranchini, Darcy A.
dc.creatorKuser-Falcão, Paula R.
dc.creatorLeung, Hei
dc.creatorEbana, Kowaru
dc.creatorYano, Masahiro
dc.creatorEizenga, Georgia
dc.creatorMcClung, Anna
dc.creatorMezey, Jason
dc.date2016-02-04
dc.date2024-12-19T12:54:55Z
dc.date2024-12-19T12:54:55Z
dc.date.accessioned2026-06-27T04:11:15Z
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.identifierhttps://hdl.handle.net/10568/165300
dc.identifier.urihttp://hdl.handle.net/123456789/24414
dc.languageen
dc.publisherSpringer
dc.rightsOpen Access
dc.sourceMcCouch, Susan R.; Wright, Mark H.; Tung, Chih-Wei; Maron, Lyza G.; McNally, Kenneth L.; Fitzgerald, Melissa; Singh, Namrata; DeClerck, Genevieve; Agosto-Perez, Francisco; Korniliev, Pavel; Greenberg, Anthony J.; Naredo, Ma. Elizabeth B.; Mercado, Sheila Mae Q.; Harrington, Sandra E.; Shi, Yuxin; Branchini, Darcy A.; Kuser-Falcão, Paula R.; Leung, Hei; Ebana, Kowaru; Yano, Masahiro; Eizenga, Georgia; McClung, Anna and Mezey, Jason. 2016. Open access resources for genome-wide association mapping in rice. Nat Commun, Volume 7, no. 1
dc.titleOpen access resources for genome-wide association mapping in rice
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)