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Improvement and validation of a pea crop growth model to simulate the growth of cultivars infected with Ascochyta blight (Mycosphaerella pinodes)
Authors:Christophe?Le?May  author-information"  >  author-information__contact u-icon-before"  >  mailto:lemay@agrocampus-rennes.fr"   title="  lemay@agrocampus-rennes.fr"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Alexandra?Schoeny,Bernard?Tivoli,Bertrand?Ney
Affiliation:(1) AGROCAMPUS, Laboratoire Ecologie et Sciences Phytosanitaires, UMR Biologie des Organismes et des Populations appliquée à la Protection des Plantes, 65 rue de Saint-Brieuc, CS 84215, 35042 Rennes Cedex, France;(2) INRA, UMR Biologie des Organismes et des Populations appliquée à la Protection des Plantes, Domaine de la Motte, BP 35327, 35653 Le Rheu Cedex, France;(3) INAPG, UMR Environnement et Grandes Cultures, 78850 Thiverval-Grignon, France
Abstract:A model simulating the growth of a pea crop infected with Ascochyta blight was improved and validated using 6 spring pea cultivars, all equally susceptible to Ascochyta blight, but differing in architectural features (stem height, branching ability, standing ability). This model takes into account the spatial distribution of the disease, including the contribution of each layer of the canopy to the radiation interception efficiency (RIE) and the radiation use efficiency (RUE) of the crop. The decreasing contribution of each layer due to the disease was estimated by the relationship between the photosynthesis of a layer and its disease score. The effect of disease on photosynthesis was assessed in controlled conditions as a means of evaluating the effect of disease on each cultivar. All cultivars were affected equally. In field conditions, cultivars with different canopy architectures displayed differences in the profile of disease on leaves. Cultivar Aladin reached higher disease levels at the top of the plant. Epidemics affected crop growth, and the cultivars tested differed in the magnitude of the decrease in growth. Observed and simulated data were compared. The disease-coupled crop growth model gave satisfactory predictions of crop growth for the six cultivars tested.
Keywords:canopy structure  epidemiology  growth disruption  Leguminosae  Mycosphaerella pinodes
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