Bayesian factorial design as a tool in the identification of rice blast resistance sources.
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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.
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Arroz, Oryza sativa, Brusone, Doença de planta, Resistência, Blast disease, Bayesian theory, Magnaporthe oryzae