Título:	Bayesian factorial design as a tool in the identification of rice blast resistance sources.
Autoria:	MELLO, R. N. MORAIS JUNIOR, O. P. ABREU, A. G. BORBA, T. C. O.
Afiliação:	RAQUEL NEVES DE MELLO, CNPAF; ODILON PEIXOTO MORAIS JUNIOR; ALUANA GONCALVES DE ABREU, CNPAF; TEREZA CRISTINA DE OLIVEIRA BORBA, CNPAF.
Ano de publicação:	2016
Referência:	In: INTERNATIONAL RICE BLAST CONFERENCE, 7., 2016, Manila. New insights into the rice-Maganaporthe Oryzae interactions for better management of rice blast: program and abstract. Manila: IRRI, 2016.
Páginas:	p. 112.
Conteúdo:	Rice germplasm banks have many promising sources of resistance to pathogens. However, identification of resistant genotypes is often arduous, notably when the host-pathogen relationship is complex as in rice blast. In addition, selection of representative Magnaporthe oryzae isolates to adequately identify sources of broad-spectrum resistance is challenging. To overcome these obstacles, data from pathogenicity assays were analyzed as a factorial design, where the pairwise combination comprised rice genotypes and blast isolates. Using this methodology, we aimed to access information about host resistance.
Thesagro:	Arroz Oryza sativa Brusone Doença de planta Resistência
NAL Thesaurus:	Blast disease Bayesian theory Magnaporthe oryzae
Tipo do material:	Resumo em anais e proceedings
Acesso:	openAccess
Aparece nas coleções:	Resumo em anais de congresso (CNPAF)