Data/hora: 14/06/2024 01:54:16

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 05/04/2017
Data da última atualização: | 06/04/2017
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.
Título: | Open access resources for genome-wide association mapping in rice.
Ano de publicação: | 2016
Fonte/Imprenta: | Nature Communications, p. 1-13, Feb, 2016.
DOI: | 10.1038/ncomms10532
Idioma: | Inglês
Notas: | Article number:10532.
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-speci&#64257;c alleles, with immediate implications for rice improvement.
Palavras-Chave: | Biologia computacional; Dados genótipicos.
Thesagro: | Genoma.
Thesaurus Nal: | Alleles; Bioinformatics; Chromosome mapping; genes; Genetic improvement; Genetic resources; Genome.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/158621/1/open-access.pdf
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (19213-1) - UPC - AP - DD -  -  -  - DIS