A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight
An epidemiology‐based strategy using rice sheath blight (ShB) as a biological model was developed that enables identification of sources of resistance. A set of 163 cultivated rice genotypes, including genotypes which had been reported to express partial resistance to ShB, and a few genotypes report...
| Autores principales: | , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2013
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/165726 |
| _version_ | 1855543226048446464 |
|---|---|
| author | Srinivasachary, S. Beligan, G. Willocquet, L. Savary, S. |
| author_browse | Beligan, G. Savary, S. Srinivasachary, S. Willocquet, L. |
| author_facet | Srinivasachary, S. Beligan, G. Willocquet, L. Savary, S. |
| author_sort | Srinivasachary, S. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | An epidemiology‐based strategy using rice sheath blight (ShB) as a biological model was developed that enables identification of sources of resistance. A set of 163 cultivated rice genotypes, including genotypes which had been reported to express partial resistance to ShB, and a few genotypes reported as very susceptible, were assessed using two complementary methods. First, microfield experiments allowed measurement of disease intensification at, and spread from, inoculated sources, along with morphological traits of each genotype. Secondly, detached tiller tests allowed measurement of the physiological resistance to the disease under conditions where morphology does not come into play. Multivariate analysis involving hierarchical cluster analysis, followed by multiple correspondence analysis, indicated that levels of physiological resistance, groups of plant morphology and disease levels in microfields were associated. Results from logistic regressions further indicated that a decreased number of lesions measured on detached tillers increased the odds of a rice genotype belonging to the group with low disease intensity in microfields. The combined results from microfield and detached tiller tests allowed identification of 23 genotypes with low level of disease intensity, which may be used as sources of resistance to ShB in breeding programmes. The results suggest that this strategy, which combines the crop stand and the individual tiller scales, may be applied to the identification of sources of resistance to a range of diseases with similar life cycle traits. |
| format | Journal Article |
| id | CGSpace165726 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1657262024-12-22T05:45:03Z A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight Srinivasachary, S. Beligan, G. Willocquet, L. Savary, S. breeding programmes disease resistance epidemiology fungal diseases fungi genotypes life cycle methodology pathogens plant diseases plant morphology plant pathogenic fungi sheath blight susceptibility thanatephorus cucumeris tillers An epidemiology‐based strategy using rice sheath blight (ShB) as a biological model was developed that enables identification of sources of resistance. A set of 163 cultivated rice genotypes, including genotypes which had been reported to express partial resistance to ShB, and a few genotypes reported as very susceptible, were assessed using two complementary methods. First, microfield experiments allowed measurement of disease intensification at, and spread from, inoculated sources, along with morphological traits of each genotype. Secondly, detached tiller tests allowed measurement of the physiological resistance to the disease under conditions where morphology does not come into play. Multivariate analysis involving hierarchical cluster analysis, followed by multiple correspondence analysis, indicated that levels of physiological resistance, groups of plant morphology and disease levels in microfields were associated. Results from logistic regressions further indicated that a decreased number of lesions measured on detached tillers increased the odds of a rice genotype belonging to the group with low disease intensity in microfields. The combined results from microfield and detached tiller tests allowed identification of 23 genotypes with low level of disease intensity, which may be used as sources of resistance to ShB in breeding programmes. The results suggest that this strategy, which combines the crop stand and the individual tiller scales, may be applied to the identification of sources of resistance to a range of diseases with similar life cycle traits. 2013-08 2024-12-19T12:55:24Z 2024-12-19T12:55:24Z Journal Article https://hdl.handle.net/10568/165726 en Wiley Srinivasachary, S., Beligan, G., Willocquet, L., & Savary, S. (2012). A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight. Plant Pathology, 62(4), 888-899. Portico. https://doi.org/10.1111/j.1365-3059.2012.02695.x |
| spellingShingle | breeding programmes disease resistance epidemiology fungal diseases fungi genotypes life cycle methodology pathogens plant diseases plant morphology plant pathogenic fungi sheath blight susceptibility thanatephorus cucumeris tillers Srinivasachary, S. Beligan, G. Willocquet, L. Savary, S. A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight |
| title | A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight |
| title_full | A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight |
| title_fullStr | A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight |
| title_full_unstemmed | A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight |
| title_short | A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight |
| title_sort | strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance the case study of rice sheath blight |
| topic | breeding programmes disease resistance epidemiology fungal diseases fungi genotypes life cycle methodology pathogens plant diseases plant morphology plant pathogenic fungi sheath blight susceptibility thanatephorus cucumeris tillers |
| url | https://hdl.handle.net/10568/165726 |
| work_keys_str_mv | AT srinivasacharys astrategytoidentifysourcesofquantitativeresistanceinpathosystemsinvolvingdiseaseescapeandphysiologicalresistancethecasestudyofricesheathblight AT beligang astrategytoidentifysourcesofquantitativeresistanceinpathosystemsinvolvingdiseaseescapeandphysiologicalresistancethecasestudyofricesheathblight AT willocquetl astrategytoidentifysourcesofquantitativeresistanceinpathosystemsinvolvingdiseaseescapeandphysiologicalresistancethecasestudyofricesheathblight AT savarys astrategytoidentifysourcesofquantitativeresistanceinpathosystemsinvolvingdiseaseescapeandphysiologicalresistancethecasestudyofricesheathblight AT srinivasacharys strategytoidentifysourcesofquantitativeresistanceinpathosystemsinvolvingdiseaseescapeandphysiologicalresistancethecasestudyofricesheathblight AT beligang strategytoidentifysourcesofquantitativeresistanceinpathosystemsinvolvingdiseaseescapeandphysiologicalresistancethecasestudyofricesheathblight AT willocquetl strategytoidentifysourcesofquantitativeresistanceinpathosystemsinvolvingdiseaseescapeandphysiologicalresistancethecasestudyofricesheathblight AT savarys strategytoidentifysourcesofquantitativeresistanceinpathosystemsinvolvingdiseaseescapeandphysiologicalresistancethecasestudyofricesheathblight |