Data/hora: 19/06/2024 22:39:26

Biblioteca(s): 	Embrapa Arroz e Feijão.	
Tipo da produção científica: 	Resumo em Anais de Congresso	
Data corrente: 	20/12/2016	
Data da última atualização: 	06/03/2017	
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.	
Título: 	Bayesian factorial design as a tool in the identification of rice blast resistance sources.	
Ano de publicação: 	2016	
Fonte/Imprenta: 	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.	
Idioma: 	Inglês	
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; Brusone; Doença de planta; Oryza sativa; Resistência.	
Thesaurus Nal: 	Bayesian theory; Blast disease; Magnaporthe oryzae.	
Categoria do assunto: 	H Saúde e Patologia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/152097/1/CNPAF-2016-rm.pdf	
Registro original: 	Embrapa Arroz e Feijão (CNPAF)	
Exemplares: 	CNPAF - (34594-1) - UPC - RA - DD - 2016 -  - 2016 - DIS