Bayesian factorial design as a tool in the identification of rice blast resistance sources.
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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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Parte de livro biblioteca |
| Language: | English eng |
| Published: |
2016-12-20
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| Subjects: | Arroz, Oryza sativa, Brusone, Doença de planta, Resistência, Blast disease, Bayesian theory, Magnaporthe oryzae, |
| Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1058998 |
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