1. Modeling of Yield Losses Caused by Potato Late Blight on Eight Cultivars with Different Levels of Resistance to Phytophthora infestans
- Author
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Catherine Chatot, Toky Rakotonindraina, Roland Pellé, Jean-Noël Aubertot, Jean-Eric Chauvin, Robert Faivre, Serge Savary, Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, 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, Unité de Biométrie et Intelligence Artificielle (UBIA), Institut National de la Recherche Agronomique (INRA), Germicopa R&D, Kerguivarch, TNRA, Association des Createurs de Varietes Nouvelles de Pomme de Terre through a Conventions Industrielles de Formation par la Recherche grant, project MICMAC [ANR-09-STRA-06], French National Agency for Research (ANR), ANR project ADD-CEDRE, Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), 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)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Unité de Biométrie et Intelligence Artificielle (ancêtre de MIAT) (UBIA), and ANR-09-STRA-0006,MicMac Design,Conception et évaluation par expérimentation et modélisation de prototypes de systèmes de culture intégrés à bas niveaux d'intrants(2009)
- Subjects
0106 biological sciences ,oilseed rape ,growth ,[SDV]Life Sciences [q-bio] ,Field experiment ,Plant Science ,01 natural sciences ,Pathosystem ,phoma stem canker ,crop loss ,Yield (wine) ,Blight ,Leaf spot ,Cultivar ,2. Zero hunger ,disease ,biology ,prediction ,04 agricultural and veterinary sciences ,biology.organism_classification ,quantification ,Fungicide ,pest management ,Agronomy ,pathosystem ,Phytophthora infestans ,leaf spot ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Agronomy and Crop Science ,010606 plant biology & botany - Abstract
Publication Inra prise en compte dans l'analyse bibliométrique des publications scientifiques mondiales sur les Fruits, les Légumes et la Pomme de terre. Période 2000-2012. http://prodinra.inra.fr/record/256699; International audience; The Shtienberg model for predicting yield loss caused by Phytophthora infestans in potato was developed and parameterized in the 1990s in North America. The predictive quality of this model was evaluated in France for a wide range of epidemics under different soil and weather conditions and on cultivars different than those used to estimate its parameters. A field experiment was carried out in 2006, 2007, 2008, and 2009 in Brittany, western France to assess late blight severity and yield losses. The dynamics of late blight were monitored on eight cultivars with varying types and levels of resistance. The model correctly predicted relative yield losses (efficiency = 0.80, root mean square error of prediction = 13.25%, and bias = 0.36%) as a function of weather and the observed disease dynamics for a wide range of late blight epidemics. In addition to the evaluation of the predictive quality of the model, this article provides a dataset that describes the development of various late blight epidemics on potato as a function of weather conditions, fungicide regimes, and cultivar susceptibility. Following this evaluation, the Shtienberg model can be used with confidence in research and development programs to better manage potato late blight in France.
- Published
- 2012