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Dataset of texture analysis of Boiled yam using extrusion method at IITA Ibadan Nigeria
This dataset contains instrumental textural data obtained on boiled yam using extrusion method. The activities, which led to the production of this dataset, were carried out at IITA, Ibadan, Nigeria and were assessed and approved by the CIRAD Ethics Committee (H2020 ethics self-assessment procedure). This work was supported by the RTB Breeding project, through a sub-grant from the International Potato Center (CIP) to the French Agricultural Research Centre for International Development (CIRAD), Montpellier, France, incorporated in the grant agreement INV-041105 between CIP and the Bill & Melinda Gates Foundation (BMGF)
Participatory process diagnosis on pounded plantain-cassava product profile in Ivory Coast
The 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 plantain and cassava processing process into Foutou (pounded dough product) aimed, through the processing of six contrasting varieties, to i) describe in detail the processing process, particularly the cooking and pounding steps; ii) compare the pounding ability of plantain varieties based on drudgery criteria; and iii) characterize the finished products based on one of their essential textural properties: their extensibility.
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 30%; 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 Foutou
Body Condition Scoring Grid for Ndama cattle (Ivory Coast)
In tropical countries, and especially in Sub-Saharan Africa, 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 calving. Overly lean females show a delay in the return of heat after calving, 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 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 Ndama cattle (Bos Taurus) of Ivory Coast
Jeux de données d'inventaire des légumineuses présentes dans les agrosystèmes d'Afrique de l'Ouest
La construction d’une base de données recensant l’ensemble des espèces de légumineuses présentes dans 3 pays d’Afrique de l’Ouest (Bénin, Burkina Faso et Sénégal) a été initiée dans le cadre de LegAE,un projet de recherche focalisé sur les légumineuses dans un contexte de transition agroécologique et renforcement de la sécurité alimentaire en Afrique. Un état des lieux des connaissances disponibles sur les services écosystémiques (SES) rendus par ces espèces a été mené conjointement. Le travail a été réalisé sur la base d’une revue bibliographique d’envergure et de quelques entretiens réalisés auprès d’experts établis dans la zone d’étude.
La base de données (BDD) recense 148 genres et 558 espèces de légumineuses ; elle rassemble pour chaque espèce les informations recueillies sur sa distribution géographique, ses synonymes et noms d’usage, son cycle de vie, son caractère cultivé ou non, son type d’habitat(s), son éventuel référencement sur la liste rouge de l’UICN, enfin sa sensibilité vis-à-vis d’un certain nombre de paramètres biotiques et abiotiques. Un onglet de la BDD est dédié à la présentation des résultats d’une analyse bibliométrique menée afin d’illustrer la forte amplitude dans l’intérêt que porte la recherche aux différents taxons inventoriés
Body Condition Scoring Grid for crossbred Bos taurus × Bos indicus cuban dairy cattle
In 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 calving. Overly lean females show a delay in the return of heat after calving, 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 Latin America, few studies have been carried out for developing a BCS grid for cattle and especially devoted to Zébu (Bos Indicus) and Taurines (Bos taurus). Ayala et al (1995) have developed a BCS grid adapted to Box indicus and crossbred cattle (Box indicus × Holstein and Box indicus × Brown Swiss) in tropical condition (Mexico). However, this BCS still not widely used and the Edmonson et al. (1989) grid, followed by the Ferguson (1994) grid persists despite its development context being less appropriate to tropical conditions in Latin America.
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 Ndama cattle (Bos Taurus) of Ivory Coast
Large variability of soil microbial diversity and functions in an over 20-year old Eucalyptus grandis plantation
These data were collected as part of the DIVTROP project (What biological mechanisms link biodiversity to tropical forest functioning? A tree experiment in Brazil) funded by the Labex Cemeb, in the MataDIV experiment area (just before the planting). The spatial heterogeneity in soil properties as well as in molecular and catabolic diversities of the soil microbial community were investigated by soil analyses, Illumina MiSeq sequencing and MicroResp™ profiling, respectively, in 51 plots (each caracterized by its X an Y coordinates) of a 20 year-old eucalyptus plantation in south Brazil obtained from a sampling performed in March 2018. The relationships between these parameters were assessed to test whether small scale variation in soil properties and understory vegetation generated heterogeneity in the soil microbial community
"Tool wear during wood sawing" database
This dataset aggregates data extracted from the CIRAD Tool wear during wood sawing database, describing influence of some wood physical and chemical properties on tool wear during wood sawing for 285 botanical wood species belonging to 200 genera and 59 families, in Montpellier, France.
WOOD RESISTANCE TO DECAY DATABASE
The CIRAD Tool wear during wood sawing database is a part of the general CIRAD wood database covering a wide range of technological properties, mainly physics and mechanics, anatomy, chemical composition, wood natural resistance to decay, etc.
Sixty years ago, André Chardin, who died in 1987, undertook a lengthy (15 years) experimental study on tool wear when sawing tropical woods. Of the 4 000 cutting tests conducted, 835 standard tests with uniform chip thickness were carried out on 554 different trees from 285 species representing 200 genera and 59 families at different moisture contents (green and air dry). This dataset present the results of these 835 standard tests.
DESCRIPTION OF THE DATASET
It consists in the following file: Cirad Tool wear during wood sawing database - dataset‧xlsx
General information
The file is in XLSX format.
Data sheets and data fields
The dataset is made up of 7 tabs (or sheets): three data sheets, three comment sheets and one regression calculation sheet. All these sheets are detailed in the attached txt file.
Tool recession data
Tool recession data comment
Transpose tool recession data
Regression calculation
Regression comment
Calculated data:
Calculated data commen
Dataset on the agronomic characteristics of 12 genotypes of plantain at CNRA, Côte d'Ivoire.
Choosing plantain varieties adapted to local conditions in these times of climate change requires knowledge of their agronomic performance and disease resistance. The aim of this study was to obtain agronomic data from plantain genotypes grown under local conditions for the production of aloco (fried plantain). A total of 12 plantain genotypes were grown in June 2023. During their growth, measurements were taken on the number of leaves at flowering and harvest, plant size, cercosporiasis infection index, etc. At harvest, buches mass, number of hands and number of fingers were determined. The results showed significant variations between genotypes, both in terms of disease susceptibility and physical development. Some genotypes, such as Corne bout rond, showed superior performance in terms of growth and pseudo-trunk circumference, while others, such as Fhia 21, showed less favorable results. The infection index revealed that varieties such as SACI, Orishele, and Big Ebanga were the most susceptible to cercosporiosis disease, while Corne bout rond and Zakoi proved more resistant. In terms of agromorphology, notable differences were observed in the number of leaves, with Fiha 21 recording the highest number at flowering and harvest, while varieties such as Orishele showed the lowest number of leaves. In addition, the height of the banana plants varied significantly, with Corne bout rond being the tallest variety and Fhia 21 the shortest
Land Use Maps of Murewha District (Zimbabwe): Temporal Analysis from 2002 to 2023 Using Landsat Data
This dataset comprises a series of five land use and land cover (LULC) maps of western Murewha District, Zimbabwe, spanning the years 2002, 2007, 2013, 2018, and 2023. The overall accuracy scores for these maps are 0.93, 0.91, 0.90, 0.90, and 0.90, respectively. These maps were generated using open-access Landsat satellite imagery (30m resolution) from Landsat 5, 7, and 8, enabling consistent spatial resolution and temporal coverage. Each map integrates two images from the crop/wet and dry seasons, ensuring comprehensive seasonal representation. Key radiometric indices (NDVI, RVI, NDWI2, BI2) and a 30m resolution DEM were applied for enhanced classification accuracy.
The algorythm used for the classification is a pixel random forest using Python 3.7.4 and the library sklearn.
The study focuses on wards within Chitopi and Mushaninga sub-districts
Digital appropriation among market gardeners in Benin, 2022–2023
Survey on the digital divide and appropriation of digital tools among market gardeners in Benin. The study follows a four-stage framework (motivation, access, capacities, and usage) and involved 1,500 face-to-face interviews conducted in 2022–2023. The dataset includes socio-demographic, economic, agricultural, and digital use information