| Titre : | Impact analysis of various agricultural practices, weather scenarios and environmental effects on the Fusarium wilt, corn borers and associated mycotoxins damage on maize popcorn (Zea mays everta) using IPSIM modeling |
| Auteurs : | Y. Nasrallah |
| Type de document : | Thèse, Mémoire, Master |
| Année de publication : | 2022 |
| Format : | 99 p. |
| Note générale : | Master 2 Thesis. Economics. Programme: Territorial agricultural development, environment and modelling [DATEM]. Co-accreditation University of Montpellier, Institut Agro Montpellier, CIHEAM-IAMM, co-diploma Faculty of Agronomy - Lebanese University, CIHEAM-IAMM. |
| Langues : | Anglais |
| Langues du résumé : | Anglais ; Français |
| Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.6 - Technique Agricole (sols, engrais, mécanisation)Thésaurus IAMM PRATIQUE AGRICOLE ; MODELE DE SIMULATION ; AGROECOLOGIE ; MALADIE DES PLANTES ; FRANCE |
| Résumé : | In a context of the need to transform the agricultural sector to a more resilient and sustainable one. As a part of the “Naturellement Popcorn” project led by Nataïs, the European leader of popcorn production with its several partners, a task was conducted at INRAE (via AGIR). The aim of INRAE’s contribution in the project is to improve the farming practices of maize popcorn through an agro-ecological transition. The task aimed at implementing qualitative models predicting the damage caused by Fusarium wilt, corn bores and the associated mycotoxins on maize popcorn assisting the producers to evaluate and identify the parameters where they would act, thus, using the least possible inputs. Four models were developed by the use of IPSIM modeling (multi-attribute modelling) on DEXi software and Excel. The models represented damage caused by two Fusarium species, F. graminearum and F. verticilliodes, and the contamination of the two associated mycotoxins (DON and fumonisin). An evaluation was carried out on IPSIM-F. graminearum with an independent dataset of two consecutive years (2020 and 2021) of over 3500 data. The predictive quality of the model showed unsatisfactory results due to several reason for the moment. However, several improvements can be conducted on the models to be reliable and serve as a tool to design environmentally friendly systems using fewer inputs. |
| Nature du diplôme : | Mémoire (Master 2 DATEM) |
| Université de soutenance : | CIHEAM-IAMM |
| Ville de l'université de soutenance : | Montpellier (France) |
| Cote : | Réservé lecteur CIHEAM |
| Directeur de Thèse : | Belhouchette H.; Darwich S. |
| Membres du Jury : | Belhouchette H.; Mortada H.; Kleftodimos G.; Darwich S.; Farah J. |
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