Agroécologie et Intensification Durable des cultures Annuelles

L'unité de recherche Aïda se positionne sur l’intensification et la durabilité de la production des cultures annuelles en quantité et, lorsque pertinent, en qualité, en milieu tropical particulièrement contraint. Ses recherches visent la pleine valorisation des ressources disponibles, en mobilisant les processus écologiques qui régissent leur dynamique au sein des agrosystèmes.
Principaux produits étudiés : canne à sucre, coton, riz, céréales, légumineuses
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 180 Results
2 oct. 2025
Mkwachu, Seif; Macé, Quentin; Heuclin, Benjamin; Goebel, François-Régis, 2025, "White grub infestation in sugarcane in northern Tanzania and soil analysis from 2022 to 2024", https://doi.org/10.18167/DVN1/KQ76OU, CIRAD Dataverse, V1
The damage caused by the white grub Cochliotis melolonthoides Gerst. (Scarabaeidae: Melolonthinae) has severely reduced sugarcane yields in Northern Tanzania since the establishment of large scale plantations in 1940s. At the TPC sugarcane complex, despite the spread of infestati...
19 sept. 2025
Ripoche, Aude; Crétenet, Michel; Sissoko, Fagaye; Dureau, D; Déat, M.; Auzoux, S., 2025, "Data of a long-term experiment on mineral and organic fertilization and crop productivity of a three-years cotton based rotation in N'Tarla - Mali", https://doi.org/10.18167/DVN1/GPZOHO, CIRAD Dataverse, V1
Dataset of agronomic and climate variables over the 1965-1990 period of experiment in N'Tarla, Mali. Cotton/Soghum/Groundnut rotation. 4 treatments were compared: control without fertilization, mineral fertilization, organic fertilization and combination of both. Agronomic variab...
12 août 2025
Mechhour, Oussama; Auzoux, Sandrine; Jonquet, Clément; Roche, Mathieu, 2025, "A Manually Curated and Automatically Scraped Corpus of English Scientific Articles in the Field of Agroecology", https://doi.org/10.18167/DVN1/M3W53D, CIRAD Dataverse, V1, UNF:6:mxKIn5bic7xeFLMCNue36g== [fileUNF]
This dataset includes a list of experimental variables from sugarcane agroecological systems, described by researchers (source variables), a list of candidate experimental variables from AEGIS, and the ground truth of correct matchings between source and candidate variables. It a...
8 août 2025 - Knomana
Martin, Pierre; Mondédji, Abla Déla; Silvie, Pierre, 2025, "Dataset on pesticidal plants for the control of cabbage pests", https://doi.org/10.18167/DVN1/AWCNQD, CIRAD Dataverse, V1, UNF:6:Qz83X9pXZIqqGdR2QFCfgA== [fileUNF]
The aim of this work was to build a pesticide plant dataset of sufficiently reasonable size to produce numerous rules with variable support. To this end, we have extracted tables 3, 4, and 5 from Mondédji et al. (2021) and completed data in order to have a dataset that respects t...
7 août 2025
Bouhenache, Abderrahim; Lashermes, Gwenaëlle; Clivot, Hugues; Recous, Sylvie; Chikowo, Regis; Shumba, Armwell; Mazungunye, Hope; Matimba, Emmanuel; Alavoine, Gonzague; Delfosse, Olivier; Falconnier, Gatien N; Affholder, François; Corbeels, Marc; Cardinael, Rémi, 2025, "Data for "Intra-seasonal rainfall patterns and extremes drive maize productivity and nitrogen use in sub-humid Zimbabwe"", https://doi.org/10.18167/DVN1/GKONUQ, CIRAD Dataverse, V1, UNF:6:dZcJBAj+kh70rnnUu+J04Q== [fileUNF]
These are the raw data of the paper "Intra-seasonal rainfall patterns and extremes drive maize productivity and nitrogen use in sub-humid Zimbabwe” authored by Abderrahim Bouhenache, Gwenaëlle Lashermes, Hugues Clivot, Sylvie Recous, Regis Chikowo, Armwell Shumba, Hope Mazungunye...
7 juil. 2025
Pret, Valentin; Falconnier, Gatien, 2025, "Data for the calibration of STICS and yield gap analysis for maize, groundnut cowpea and pigeon pea in Murehwa district, sub-humid Zimbabwe published in "Identifying the drivers of yield gaps for maize and legumes in Zimbabwean smallholder farms using locally calibrated crop modelling"", https://doi.org/10.18167/DVN1/BDKC6D, CIRAD Dataverse, V1, UNF:6:7sn1P0ZMoKCLGPARkGtlyg== [fileUNF]
The dataset contains data on the growth of maize, groundnut, cowpea and pigeon pea collected during two growing seasons in on-farm trials in the Murehwa district, sub-humid Zimbabwe. The observed climate data for the experimental seasons is provided, along with basic soil charact...
12 juin 2025
Gatien Falconnier; Dilys S. MacCarthy; Kokou A. Amouzou; Alain Ndoli; Tesfaye S. Sida; Bouba Traore, 2025, "Calibration data for: Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa", https://doi.org/10.18167/DVN1/CIN8PB, CIRAD Dataverse, V1, UNF:6:f+MABNH7uHT/+oGeY+fEWw== [fileUNF]
The dataset contains experimental data on maize growth for crop model calibration, at five sites in sub-Saharan Africa. The observed climate data for the experimental years at the sites is provided, along with basic soil characteristics. Crop management (planting date, date of fi...
3 juin 2025
Huat, Joël; Auzoux, Sandrine; Durand, Manon; Soupire, Marion; Dodet, Nastassja; Beaudet, Halona; Marzin, Jacques; Olié, Louis; Aubert, Magali; Raharison, Tahina Solofoniaina; Ramanamidona, Jean-Yves; Rasamimanana, Andry Noelinantenaina; Renaud, Nelson; Dogley, Norman; Roux, Margot; Moloye, Marie Nadine Corine; Dhurumsing-Doharoo, Ansuya Devi; Sauvage, Sébastien; Ducasse, Ian; Delaire, Julie; Dupouy, Guilhem; Theeroovengadum, Nivershee; Arjanee, Zaynah Bibi; Sumboo, Mishtee; Mouzdalifa, Mmadi; Nahouza, Saïd; Ahamada, M'madi Abdou; Abdallah, Combo; Mendez, Johan; Ah-Kong, Cliven, 2025, "Bases de données des pratiques agroécologiques aux Comores, à l'île Maurice, à Madagascar et aux Seychelles", https://doi.org/10.18167/DVN1/QJCMZA, CIRAD Dataverse, V1, UNF:6:w2Q28LoBhfhT9X8J+vDltg== [fileUNF]
Il s'agit de fichiers de bases de données répertoriant les pratiques agro-écologiques (PAE) des pays de la zone Ouest océan Indien (Maurice, Comores, Madagascar et Seychelles). C'est le résultat d'un travail collectif réalisé lors de 3 ateliers régionaux à La Réunion (Septembre 2...
30 avr. 2025
Mechhour, Oussama, UPR AIDA, France; Auzoux, Sandrine, UPR AIDA, La Réunion; Jonquet, Clément, UMR MISTEA, France; Roche, Mathieu, UMR TETIS, France, 2025, "Corpus and list of agroecological experimental variables", https://doi.org/10.18167/DVN1/9X3IVR, CIRAD Dataverse, V1, UNF:6:9n8pyTXfHQPwAGgu+VDm6Q== [fileUNF]
This dataset includes a list of experimental variables from sugarcane agroecological systems, described by researchers (source variables), a list of candidate experimental variables (AEGIS) and a corpus generated by GPT Turbo on variable descriptions.
4 mars 2025
Kwenda, Illiana; Falconnier, Gatien; Cardinael, Rémi; Affholder, François; Couëdel, Antoine; Baudron, Frédéric; Franke, Angelinus C; Nyagumbo, Isaiah; Mabasa, Stanford; de Freitas, Mathilde; Pret, Valentin; Diop, Souleymane; Magwaza, Eleanor F; Chikowo, Regis, 2025, "Data for "Intercrop overyielding is maintained under estimated water and nitrogen stress in maize-cowpea on-farm trials in semi-arid Zimbabwe"", https://doi.org/10.18167/DVN1/G5TYUZ, CIRAD Dataverse, V2, UNF:6:COBfS1N/DMPRJupAIY1B1w== [fileUNF]
These are the raw data of the paper "Intercrop overyielding is maintained under estimated water and nitrogen stress in maize-cowpea on-farm trials in semi-arid Zimbabwe” authored by Illiana W. Kwenda, Gatien N. Falconnier, Rémi Cardinael, François Affholder, Antoine Couëdel, Fred...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.