01479nam a2200253 a 450000100080000000500110000800800410001910000170006024501190007726002010019630000120039752006150040965000200102465000180104465000230106265000100108565000120109565000220110765000170112965000170114670000250116370000170118870000200120520589982017-03-06       2016    bl uuuu     u00u1 u    #d1 aMELLO, R. N.  aBayesian factorial design as a tool in the identification of rice blast resistance sources.h[electronic resource]  aIn: 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: IRRIc2016  ap. 112.  aRice 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.  aBayesian theory  aBlast disease  aMagnaporthe oryzae  aArroz  aBrusone  aDoença de planta  aOryza sativa  aResistência1 aMORAIS JUNIOR, O. P.1 aABREU, A. G.1 aBORBA, T. C. O.