A new model for the pathozone of the take-all pathogen, Gaeumannomyces graminis var. tritici
Autor: | Gosme, Marie, Lebreton, Lionel, Sarniguet, Alain, Lucas, P., Gilligan, C. A., Bailey, Douglas John |
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Přispěvatelé: | Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Agronomie, AgroParisTech-Institut National de la Recherche Agronomique (INRA), Dept Plant Sci, Epidemiol & Modelling Grp, University of Cambridge [UK] (CAM), French National Institute of Agronomical Research (INRA), Biotechnology and Biological Sciences Research Council (BBSRC) of the United Kingdom, BBSRC Professorial Fellowship, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST |
Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: | |
Zdroj: | Annals of Applied Biology Annals of Applied Biology, Wiley, 2013, 163 (3), pp.359-366. ⟨10.1111/aab.12060⟩ Annals of Applied Biology, 2013, 163 (3), pp.359-366. ⟨10.1111/aab.12060⟩ |
ISSN: | 0003-4746 1744-7348 |
DOI: | 10.1111/aab.12060⟩ |
Popis: | International audience; The pathozone (volume of soil surrounding subterranean plant organs within which a propagule must occur if it is to have any chance of infecting the organ) is usually described by statistical models lacking biological meaning. For this reason, pathozone results might be difficult to interpret and the estimated parameters cannot be re-used in other studies. We developed a model with parameters reflecting life-history traits concerning primary infections of soilborne pathogens. The model was then fitted to experimental data obtained from eight isolates of Gaeumannomyces graminis var. tritici, causal agent of take-all disease of wheat. Our model provided not only a mechanistic description for the pathozone dynamics, but also a better fit to the data than four other models published in the literature. Although the isolates displayed phenotypic variability in terms of pathozone dynamics, these differences did not map onto the G1 and G2 genetic subgroups known to occur in Ggt populations. |
Databáze: | OpenAIRE |
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