Modeling soil water reserves and biomass in a semiarid, drip irrigated artichoke plot using PILOTE
2017
Sameut, M.K. | Hartani, T. | Mailhol, J.C. | Douaoui, A. | Université Hassiba Ben Bouali de Chlef (UHBC) | TIPAZA UNIVERSITY CENTER DZA ; Partenaires IRSTEA ; Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) | Gestion de l'Eau, Acteurs, Usages (UMR G-EAU) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
[Departement_IRSTEA]Eaux [TR1_IRSTEA]GEUSI
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Show more [+] Less [-]English. Modeling is one of the available tools to manage irrigation and to forecast crop yields. The purpose of this study was to adapt, calibrate, and validate the PILOTE model on globe artichokes (Cynara cardunculus var. scolymus L.) under drip irrigation in the Lower Cheliff Plain (Algeria) in two seasons (2011/2012 and 2012/2013) and to use it to predict soil water reserves and total biomass in other seasons (2006/2007, 2009/2010, and 2010/2011). The model uses daily climate data, soil characteristics, and plant data to simulate the leaf area index, total biomass, and soil water reserves during the crop growth cycle. Our results revealed a strong correlation between model outputs and observed data (leaf area index, soil water reserves, and plant biomass) in the calibration and validation years (coefficient of efficiency >0.90 and root mean square error
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