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Service Crops characterization in Mediterranean Vineyards
No full textThis dataset corresponds to the data used in the article whose full title is: Assessing the Multifunctionality of Service Crops in Mediterranean Vineyards Using a Functional Trait Approach and Short title is Trait-Based Multifunctionality of Service Crops in Vineyards
submitted by Léo Garcia, Aurélie Metay and Gaëlle Damour in March 2025 to Plos One.
This dataset includes biomass data, mean trait values of the species found in the inter-rows, community-weighted means, and field-measured ecosystem functions of the service crops grown at Domaine du Chapitre in Villeneuve-lès-Maguelone, France, during the PhD research of Léo Garcia (2015-2018)
Major differences in the dynamic of haematological and biochemical variables between trypanotolerant and susceptible cattle during a Trypanosoma congolense infection
No full textRaw data and R scripts related to the article "Major differences in the dynamic of haematological and biochemical variables between trypanotolerant and susceptible cattle during a Trypanosoma congolense infection".
Three cattle breeds comprising 7 N’Dama cattle, 9 West African Fulani Zebu, and 8 crossbred cattle (West African Zebu X European taurine) were infected with Trypanosoma congolense IL1180, and were monitored during six months post-infection. Parasitemia, weight, temperature, haematological and plasma biochemican variables were recorded before and during infection
Labeled corpora for post-training Language Models on thematic and misinformation classification in a One Health context
No full textThis repository contains five corpora of labeled texts used for fine-tuning language models based on selective masking to adapt them to targeted domains within the One Health context. The corpora comprise collections of unannotated texts generally sourced from PubMed and PADI-web, representing two main areas of application: (i) thematic content related to the One Health domain, covering the biomedical, phytosanitary, and syndromic surveillance fields, and (ii) epidemic misinformation. The repository contains 5 files:
Medical Text - Cancer_snippets: 996 scientific articles and abstracts on human cancers, extracted from the Medical Text Dataset - Cancer Doc Classification Dataset. This corpus is divided into three classes (Thyroid Cancer: 283, Colon Cancer: 261, Lung Cancer: 453).
PubMed Plant Diseases_snippets: 1,200 abstracts of PubMed scientific papers written in English that focus on the plant health domain. This corpus is divided equally among three major plant diseases that affect crops (Downy Mildew, Powdery Mildew, and Bacterial Wilt). Abstracts were collected by us using web scraping, selecting those whose titles and content contained the disease names.
PADI-web Plant Health_snippets: 748 news articles on Xylella fastidiosa (i.e., plant disease) collected with PADI-web (https://padi-web.cirad.fr/en) and manually classified by experts into two classes: relevant (317 articles, i.e., documents related to a new, suspected or unknown outbreak) or not relevant (431 articles).
PADI-web Syndromic_snippets: 769 online news articles, divided into two classes: positive, with 311 news articles dealing with unknown diseases, and negative, with 458 news articles where a pathogenic cause is identified.
CoAID_snippets: 252 news articles and Facebook posts on the COVID-19 epidemic, extracted from the largest CoAID dataset. This corpus is divided into two classes: fake, with 126 fake news items, and true, with 126 real news.
The complete corpora are available under restricted access, while the open-access versions contain only snippets from each corpus
Body Condition Scoring Grid for Sheep (Sahel and Savannah areas)
No full textIn tropical countries subject to significant quantitative and qualitative variations in the availability of fodder during the year, the dissatisfaction of feed needs is a frequent situation for animals reared in grazing systems without a sufficient supplementation with feed concentrates.
The Body Condition Scoring (BCS) is a useful way to assess the state of body reserves (subcutaneous fat, muscle mass) which reflects the animal's production (growth, milk, work) and reproduction capacities. The evaluation of the body reserves of an animal through the scoring of their body condition is important to adjust their diet and appreciate their general state of health, as well as their reproductive and production capacity (meat, milk, work, etc.). Managing body reserves is one way of responding to variability in quality and access to feed resources. In females, reserves play an important buffer role during lactation. They can make up for insufficient intakes from the ration. Indeed, the level of production depends on the nutrients provided by the feeds, but also on the animal's body reserves when the feed-based supplies do not fully cover their needs, especially during the dry season. The BCS impacts the interval between two lambing. Overly lean females show a delay in the return of heat after lambing, the direct consequence of which is the increase in the parturition interval and consequently a decrease in herd productivity.
The assessment of these reserves through Body Condition Scoring (BCS) represents a management tool for livestock farmers, agricultural advisors and livestock development stakeholders. BCS is a simple, inexpensive and fast method. Several animals can be scored in one session. It allows to compare the BCS of individuals or herds: 1) raised in different production systems or environments, 2) or, during different seasons (dry season and rainy season). BCS can be used as a tool for monitoring and alerting the nutritional level of domestic animal populations. To do this, BCS alert thresholds and a BCS collection and monitoring system must be defined on reasoned samples of animal populations.
It is an easy-to-use field tool. However, a good mastery of the BCS grid as well as a regular practice of scoring are necessary to obtain precise and reproducible ratings. It can also be used as a tool for monitoring and alerting the nutritional level of animal populations. Thus, the farmer can be called at any time to intervene on the feed ration and / or the health of the animal.
In African regions, most of the sheep breeds belongs to slender type, with elongated legs and poorly developed muscular masses. Fat is mainly deposited on internal organs (e.g. intermuscular). According to Richard (1997), it is possible to identify a scale of variation according to the general individual body condition following criteria similar to those used in Europe. Inspired in the body condition scoring grid (from 0 to 5) developed by Russel et al. (1969), Richard (1997) proposed a scoring system for Fulani sheep widely present in the Sahelian regions.
In 2020, Vall proposed a standardized BCS scoring system for tropical livestock animals for large animals (cattle, camels), small animals (sheep, and goats) and for donkeys, and horses. This document presents this BCS system applied to the Sahelian goat. For harmonizing the BCS method to be used in sheep with regard to that used for other species, we propose a 6-level system assuming that sheep flocks and populations may include extreme animals, going from very thin (i.e. due to extreme feeding and nutritional conditions or as a consequence of gastrointestinal parasitism), to very fatty or obese (resulting from intensive farming with generous fattening feeding systems)
Field observations of eleven banana genotypes used to estimate their resistance levels to Pseudocercospora fijiensis in Guadeloupe (2021-2022)
No full textThis dataset contains field observations of eleven banana genotypes conducted in 2021 and 2022 at the CIRAD experimental station in Neufchâteau, Guadeloupe (details of the experimental design are provided in the associated publication). These observations were used to estimate different quantitative resistance components of banana to Pseudocercospora fijiensis infectious cycle
Data for "Intra-seasonal rainfall patterns and extremes drive maize productivity and nitrogen use in sub-humid Zimbabwe"
No full textThese 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, Gonzague Alavoine, Olivier Delfosse, Gatien N Falconnier, François Affholder, Marc Corbeels, Rémi Cardinae
Ants from the BING project
No full textNeglected Biodiversity of French Guiana, https://umr-ecofog.cirad.fr/projets/bing</a
Dataset for participatory process diagnosis on pounded yam product profile in Ivory Coast
No full textThe quality of local consumer products in West Africa depends on numerous parameters that enable them to meet consumer expectations. To increase the chances of adoption of new genotypes developed by breeders, it is necessary to increasingly deepen the identification of adoption criteria among users of these raw materials. Among the latter, processors play a key role because they are at the interface between raw material producers and consumers; they therefore need varieties that are highly processable while still producing finished products of the quality expected by consumers. This participatory assessment of the pounded yam process into Foufou (pounded dough product) aimed, through the processing of ten contrasting varieties, to i) describe in detail the processing process, particularly the cooking and pounding steps; ii) compare the pounding ability of yam varieties based on drudgery criteria.
In addition to a detailed description of the processing process, this study highlighted i) the importance of the dry matter content of the raw material, which must not be less than 28%; ii) the different pounding behaviors between varieties, with workloads that can vary by as much as twofold depending on the varieties used. This study enabled the development of new approaches to quantify the laboriousness of unit operations through video analysis. The first results presented here will need to be consolidated through additional studies on new genotypes while testing new participatory methods for describing the process of obtaining Foufou
Physicochemical data, for raw and boiled cassava, at INRAE Avignon, France
No full textThis document presents the results of physicochemical analyses conducted on eight cassava varieties with contrasting textural properties. Cassava, a staple crop essential for food security in rural Africa, is a major source of carbohydrates. However, improving its post-cooking textural properties is crucial to meet the expectations of both consumers and industries. In this context, the RTBfoods project aims to develop sustainable and optimized cassava varieties for the food industry.
The analyses focus on extraction yields, including dry matter (DM), YAIS (non-destarched AIS), and Ydes (destarching yield), as well as starch composition before and after destarching (residual). Measurements include the levels of neutral sugars, galacturonic acid, methanol, lignin, non-starch polysaccharides (NSP), and degree of methylation (MD), along with enzymatic activities of polygalacturonases (PG) and pectin-methylesterases (PME). The results indicate that post-cooking texture is influenced by pectin solubilization, hemicellulose degradation, and interactions between starch and cell wall polysaccharides.
The main objective is to understand the physicochemical mechanisms responsible for textural variations and to develop tools such as MID-IR spectroscopy for rapid, non-destructive quality assessment. This knowledge will support breeding programs to produce cassava varieties with improved textural properties, meeting both consumer and industrial requirements