Analysis of field data and modeling with the faq aquacrop model, in the framework of a study on the resistance of two rice cultivars to irrigation deficiency in Cambodia
Lerfel, Déborah
Promotor(s) : Degré, Aurore
Date of defense : 12-Oct-2022 • Permalink : http://hdl.handle.net/2268.2/16573
Details
Title : | Analysis of field data and modeling with the faq aquacrop model, in the framework of a study on the resistance of two rice cultivars to irrigation deficiency in Cambodia |
Translated title : | [fr] Analyse de données de terrain et modélisation à l'aide du modèle AquaCrop (FAO) dans le cadre d'une étude de la résistance de deux cultivars de riz à l'irrigation déficitaire |
Author : | Lerfel, Déborah |
Date of defense : | 12-Oct-2022 |
Advisor(s) : | Degré, Aurore |
Committee's member(s) : | Jijakli, Haissam
Wellens, Joost De Clerck, Caroline Ket, Pinnara |
Language : | English |
Number of pages : | 77 |
Keywords : | [en] AWD [en] irrigation [en] cultivars [en] water-use efficiency [en] AquaCrop |
Discipline(s) : | Life sciences > Agriculture & agronomy |
Research unit : | Institut de Technologie du Cambodge (ITC) |
Target public : | Researchers |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master de spécialisation en production intégrée et préservation des ressources naturelles en milieu urbain et péri-urbain |
Faculty: | Master thesis of the Gembloux Agro-Bio Tech (GxABT) |
Abstract
[en] This study was dedicated to the analysis of the water-use efficiency of rice in Cambodia. We studied several scenarios depending on the parameters: soil and fertilization, irrigation regime and cultivar. We identified the most resistant cultivar to irrigation deficiency as CAR15, which is also the cultivar producing rice with the best WUE.
We also modeled these scenarios in AquaCrop to calibrate and validate a model, and especially with the objective to determine the accuracy of the model in stress scenarios. We had some struggles with the modeling as the irrigation records were flawed and we lacked information on some stresses that could impact the rice. Thus, we recommend a better and more rigorous data collection to be able to fit and validate the model properly in the future.
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