CIRAD Dataverse
Not a member yet
921 research outputs found
Sort by
Dataset on the extensibility of pounded yam from different yam genotypes (by KDGE) in Côte d'Ivoire
No full textThe CNRA yam genetic resources collection contains a diversity of accessions consisting of traditional, introduced and hybrid varieties. This collection was the subject of characterization of the quality of pounded yam (foutou) in order to identify varieties suitable for making pounded yam. The sensory parameters measured are the extensogram peak force (N), extensibility (mm), extension area (k.mm). The results show that the measured parameters are positively and strongly correlated. Among these parameters, the extension area (k.mm) best discriminates the two species and extensibility the genotypes. PCA coupled with ascending hierarchical classification (ACH) made it possible to screen the varieties into three classes taking into account their extensibility, that is to say their ability to make pounded yam that pulls. Class 1 consists of 10 varieties with high extensibility. The varieties in this class, all of the species D. rotundata, are capable of making good pounded yam and can therefore be selected. Class 2 includes 21 varieties with medium extensibility. The varieties in this class, which include both D. rotundata and D. alata varieties, can make foutou of medium quality. Class 3 includes varieties of D. rotundata, and most of the varieties of D. alata have low extensibility and cannot produce good quality pounded yam (foutou)
JobAgri Ghana - Main farming household database
No full textThis dataset is database of 949 Ghanaian farming households describing household ressources, rural livelihoods, working time spent by different categories of workers on agricultural activities (crop, post-harvest, livestock) and non-agricultural activities. It also includes information about agricultural and non-agricultural households incomes
Novelty dataset (animal health, food security, climate change)
No full textThis dataset contains sets of news article segments in English related to three domains namely animal health, food security and climate change and has been used to fine-tune and evaluate GPT3.5-turbo, GPT4o, DeepSeek-V3, DeBERTa, RoBERTa, BERT, EpidBioELECTRA and EpidGPT models for novelty detection tasks in the three domains. It is composed of 10,660 animal disease, 1,100 food security and 2,200 climate change article segments in csv format with information about the parent articles (segment, doc id, seg id, title, source url, publication date, article domain, article subdomain).
Animal health domain is made up of 22 subdomains inclusive of article segments on Avian Influenza (AI) 2310, Highly Pathogenic Avian Influenza (HPAI) 3060, African Swine Fever (ASF) 1000, Foot-and-Mouth disease (FMD) 1165, Bovine Spongiform Encephalopathy (BSE) 770, Brucellosis 435, Peste des Petits Ruminants (PPR) 160, Bluetongue 165, Newcastle disease 155, Glanders 160, Disease X 140, Anthrax 120, West Nile Virus (WNV) 145, Middle East respiratory syndrome (MERS) 215, Infectious Salmon Anaemia (ISA) 110, Equine Influenza (EI) 200, Eastern Equine Encephalitis (EEE) 50, Porcine Reproductive and Respiratory Syndrome (PRRS) 85, Rift valley Fever (RVF) 30, Classical Swine Fever (CSF) 40, Rabies 30, Venezuelan Equine Encephalitis (VEE) 55, Viral Haemorrhagic Septicaemia (VHS) 15.
Climate change domain is made up of 7 subdomains inclusive of article segments on flash floods 340, drought 394, wildfires 184, hurricanes 349, heatwaves 385, global warming 299 and tsunamis 340.
The original articles dataset (corpus) contains documents from which created segments (drawn from original PADI-Web articles (relevant articles only) and those gotten from GDELT database (for news articles on food security events and climate change events))
Dataset used to generate Variability-Driven User-Story using LLM and Triadic Concept Analysis
No full textThe diffusion of knowledge, extracted from the Knomana knowledge base (Silvie et al., 2021) or inferred using Knomana, requires to develop a specific application for each type of final user (e.g. researcher vs. farmer). This involves to develop a family of similar applications, which can be done thanks to the paradigm of software product line. A challenge is to identify, analyze and structure the functionalities required by each user before the development of such applications. The considered solution is to use website presenting similar functionalities to design the ones of Knomana. The solution evaluated consists in using an LLM
Enquête sur la gestion de la santé de l'abeille dans les politiques publiques dans le domaine agricole en France
No full textEntretiens et observations réalisées auprès des acteurs institutionnels impliqués dans la gestion de la santé de l'abeille en Franc
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
No full textDataset 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 variables : yield of cotton, sorghum and groundnut; C,N,K, P soil content, pH; description of organic manure - nutrients content and moisture. Climate variables : rainfall, temperature, wind, radiation
Ants and Spiders from the Diamond Project
No full textDIAMOND, Dissecting And Monitoring Amazonian Diversity. Goal of the project : provide continuous maps of biodiversity in French Guiana and document spatial patterns of diversity by implementing innovative biodiversity monitoring approaches based on environmental DNA. 2016-2019 (DiamondProject
Dataset for pounded yam Kieffer dough extensibility in Cote d'Ivoire and Nigeria
No full textThis dataset contains validation on KDGE extensibility of pounded yam in Ivory Coast and Nigeria. The activities, which led to the production of this document, were assessed and approved by the CIRAD Ethics Committee (H2020 ethics self-assessment procedure)
Morphological and biological characteristics of Badamia exclamationis (Fabricius) (Lepidoptera: Hesperiidae) on Hiptage benghalensis (Malpighiaceae)
No full textHiptage benghalensis (L.) Kurz is a woody vine species belonging to the family Malpighiaceae, native to India, Southeast Asia, and China (POWO, 2024). It is an invasive species in introduced areas such as Réunion Island (France; Tassin et al., 2006), Mauritius (Friedmann, 2011), Florida and Hawaii (USA) (Randall, 2002; Starr et al., 2003), and Queensland (Australia) (Csurhes, 2016; Weeds of Australia, 2016). Listed as one of the 100 most dangerous invasive species worldwide (Lowe et al., 2000), H. benghalensis poses severe threats to biodiversity in many invaded regions, particularly in Réunion – a global biodiversity hotspot (Myers et al., 2000). The vines of this plant intertwine to form dense thickets, covering large areas of forests in Réunion (Tassin et al., 2006; Vidal et al., 1997), narrow the habitats of native and endemic species (Kueffer & Mauremootoo, 2004), and continuously expanding their coverage.
After failures in managing this species using mechanical, chemical, or combined methods (Vitelli et al., 2009), a classical biological control program was initiated in its native range, Vietnam, in 2022 to search for potential arthropods and microorganism to manage this plant in Réunion (Lam et al., 2023). Preliminary surveys recorded insect pests on H. benghalensis and other species of the genus Hiptage, among which larvae of Badamia exclamationis, commonly found in southern Vietnam (Ba Ria – Vung Tau province).
Badamia exclamationis belongs to the genus Badamia, that comprises two species and five subspecies. It was first described in 1775 as Papilio exclamationis and has been recorded feeding on the leaves of H. benghalensis (Maeda & Muroya, 1967, cited by Chiba, 2009; Kawthankar et al., 2025). The species is widely distributed, ranging from Sri Lanka to islands in Southeast Asia, Fiji, Samoa, and New Hebrides (Chiba, 2009), as well as Queensland (Dunn, 2020). This dataset presents morphological characteristics of B. exclamationis reared on H. benghalensis plant
Simulated dataset of pesticide use and fate in Guadeloupe Island using Agri-STAMP model
No full textThis dataset includes the inputs of Agri-STAMP model to simulate the use and fate of pesticides in Guadeloupe, 1969 - 2014, and the outputs for 56 pesticide active substances in Guadeloupe Island (Basse-Terre and Grande-Terre), and Marie-Galante