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Modelling crop:weed interactions in wheat with ALMANAC
Authors:P DEBAEKE  J P CAUSSANEL  J R KINIRY  B KAFIZ  G MONDRAGON
Institution:INRA, Station d'Agronomie, BP 27, 31326 Castanet-Toloasan cedex. France;INRA. Laboratoira de Malherbologie, BV 1540, 21034 Dijon Cedex, France, and;USDA-ARS, Grassland, Soil &Water Research Laboratory, Temple. TX 76502, USA
Abstract:ALMANAC is a dynamic model for plant growth, water balance and soil nitrogen dynamics that can simulate on a daily basis two or more competing species. The simulation of competition for light is based on Beer's law, allowing a different extinction coefficient ( k ) for each species. Light is partitioned between species based on k -values, leaf area index and plant heights. Total hiomass is simulated with radiation use efficiency and grain yield with a harvest index approach, sensitive to water stress. The model simulates competition for water and nutrients based on each species current rooting zone and demand by each species. The effect of crop management on the competition issue can he simulated. The model was evaluated in Dijon (France) using 4 years of experimental data on wheat:oat mixtures, differing in oat ( Avena sativa L.) densities, the period of oat emergence, the date of weed suppression by herbicides and the wheat ( Triticun aestivum L.) genotype. Additional data on oilseed rape ( Brassica nupus L.) and vetch ( Vilcia sauiva L.) competition in spring wheat were also used. The wheat grain yield was reasonably simulated with a root mean square error (RMSE) of 0.10-0.35 t ha-1. Corresponding values for oats were 0.10-0.55 t ha-1. The competitiveness of oats, oilseed rape and vetch was correctly simulated. The model appears as a reasonable tool for estimating damage thresholds in integrated weed control programmes.
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