Título:	Open access resources for genome-wide association mapping in rice.
Autoria:	MCCOUCH, S. R. WRIGHT, M. H. TUNG, C.-W. MARON, L. G. MCNALLY, K. L. FITZGERALD, M. DECLERCK, G. AGOSTO-PEREZ, F. KORNILIEV, P. GREENBERG, A. J. NAREDO, M. E. B. MERCADO, S. M. Q. HARRINGTON, S. E. SHI, Y. BRANCHINI, D. A. FALCAO, P. R. K. LEUNG, H. EBANA, K. YANO, M. EIZENGA, G. SINGH, N. MCCLUNG, A. MEZEY, J.
Afiliação:	SUSAN 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.
Ano de publicação:	2016
Referência:	Nature Communications, p. 1-13, Feb, 2016.
Conteúdo:	Increasing 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.
Thesagro:	Genoma
NAL Thesaurus:	Genome Chromosome mapping Genetic resources Alleles Genetic improvement Bioinformatics genes
Palavras-chave:	Dados genótipicos Biologia computacional
Digital Object Identifier:	10.1038/ncomms10532
Notas:	Article number:10532.
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPTIA)