标题：Recherche de stratégies de conduite du tournesol dans les conditions pluviales de la région de Meknès (Maroc). I. Calage et test du modèle Epic-Phase
期刊名称：Science et changements planétaires / Sécheresse
印刷版ISSN：1147-7806
电子版ISSN：1777-5922
出版年度：2000
卷号：10
期号：4
页码：263-271
出版社：John Libbey Eurotext
摘要：Authors Abdellah Aboudrare , Ahmed Bouaziz , Philippe Debaeke École nationale d’agriculture de Meknès, Département de machinisme agricole, CEAMA, BP S/40, Meknès, Maroc, Institut agronomique et vétérinaire Hassan-II, Département d’agronomie et d’amélioration des plantes, BP 6202, Rabat, Maroc, Institut national de la recherche agronomique, Unité d’agronomie, BP 27, 31326 Castanet-Tolosan Cedex, France. Page(s) : 263-71 Published in: 2000 The present study was carried out to calibrate the Epic-Phase simulation model and test it with rainfed sunflower crops in the Meknès region of Morocco. Data from an experiment conducted in 1996 (highly productive rainy season) at ENA Meknès were mainly used for this calibration, supplemented with data obtained from the literature. The calibration quality was assessed under several soil-tillage conditions on the basis of phenology, leaf area index, grain yield, above-ground biomass and water use. The model was evaluated for the same location using 4 years of experimental data that had not been used for the calibration. In 1991, 1992 and 1993, soil water was efficiently simulated whereas grain yields were overestimated as a result of sparrow pest damage that was not considered by the model. In 1997, the simulated leaf area index was in close agreement with the field observations, but yields were slightly overestimated by the model because hail damage was not taken into consideration. The relative error of prediction was 6% for soil water quantity and 7% for water use, with extremes of 10% and 22%, respectively, in the poorest conditions. Based on the results of a survey conducted in the Meknès region in 1997 (23 fields), the model was able to efficiently simulate grain yield and plant water use for a wide range of soil and cropping conditions. The prediction accuracy was there-fore sufficient to use the model for assessing different rainfed sunflower crop management strategies in the Meknès region.
