Bayesian factorial design as a tool in the identification of rice blast resistance sources.
Bayesian factorial design as a tool in the identification of rice blast resistance sources.
Author(s): MELLO, R. N.; MORAIS JUNIOR, O. P.; ABREU, A. G.; BORBA, T. C. O.
Summary: 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.
Publication year: 2016
Types of publication: Abstract in annals or event proceedings
Unit: Embrapa Rice & Beans
Observation
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