Evaluation of models to predict take-all incidence in winter wheat as a function of cropping practices,soil, and climate |
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Authors: | S Ennaïfar D Makowski J -M Meynard P Lucas |
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Institution: | (1) INRA, UMR d’Agronomie INRA/INA P-G, BP01, 78850 Thiverval-Grignon, France;(2) INRA, unité Mathématiques et Informatique Appliquées, 78352 Jouy en Josas Cedex, France;(3) INRA, Département SAD, INRA, BP01, 78850 Thiverval-Grignon, France;(4) INRA, UMR BIO3P INRA-Agrocampus, Domaine de la Motte, BP 35327, 35653 Le Rheu Cedex, France |
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Abstract: | The incidence and severity of take-all, caused by Gaeumannomyces graminis var. tritici (Ggt), in susceptible crops depend on climate, soil characteristics and cropping practices. Take-all can be controlled by
modifying crop rotation, crop management and fungicide treatment. When available, fungicides are used as a seed treatment
and are partially effective. There is currently no reliable method for helping farmers to optimise their choice of cropping
system to improve take-all control. In this study, we defined 16 models, based on various mathematical functions and input
variables, for predicting disease incidence in a wheat crop as a function of soil characteristics, climate, crop rotation
and crop management. The parameters of these models were estimated from field experiments carried out at six sites in the
north of France over a ten-year period. The root mean squared error of prediction (RMSEP) values of the models were estimated
by cross validation and compared. RMSEP was in the range 16.34–65.93% and was higher for the models based on multiplicative
functions. The lowest RMSEP value was obtained for a dynamic model simulating disease incidence during the crop cycle and
which included among input variables the percentage of diseased plants determined at GS30. |
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Keywords: | Epidemiology Decision support Integrated crop protection Model selection |
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