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Diagnostic Agronomique de la culture cotonnière au Bénin en 2021
No full textObservations et comptages sur des parcelles de coton pendant la campagne 2021 dans 9 villages répartis dans toutes les régions cotonnières du Bénin en vue de hiérarchiser les contraintes à la production et à sa qualité. Les données recueillies concernent les itinéraires techniques pratiqués, les états du milieu (sols, pluviométrie, évapotranspiration), les états culturaux (densité, hauteurs des plants, cotations d'enherbement, shedding), les rendements coton-graine et composantes du rendement, le rendement égrenage et les caractéristiques technologiques des fibres, le seed-index
Co-products management practices in agro-pastoral farms in Burkina Faso
No full textThis data table in Excel provides information from a survey concerning the management of crops co-products (CCP: straws, tops, stalks) and animal co-products (CCP: Dung) in agro-pastoral farms in western Burkina Faso in 2021. These data were used for writing a paper entitled ''Recycling crop and animal co-products on agro-pastoral farms for the agroecological transition: more than 60% potentially recoverable in western Burkina Faso".
The Excel file contains 10 sheets:
1) Map of the study sites;
2) Pre-survey data (188 farms);
3) CCP and ACP management data for the 60 farms;
4) Data from table 1 of the draft article;
5) Principal Component Analysis;
6) Hierarchical Ascending Classification ;
7) ANOVA on the PCA variables;
8) ANOVA on the structure variables of the 60 farms;
9) Data from tables 2, 3 and 4 of the draft article;
10) Parameter
Performance of phenomic selection in rice: effects of population size and genotype environment interactions on predictive ability
No full textLes données présentes dans ce dataset correspondent aux données de phénotypage (160 variétés issues d'un panel de diversité mesurés pour 30 caractères différents essentiellement liés à la fixation d'azote), de génotypage (environ 30k SNP) et aux BLUPs des NIRS (faits sur grain et paille) utilisés lors de l'étude de l'évaluation de l'intérêt de la phénomique par rapport à la génomique sur un panel de diversité de riz dans un contexte multi environnement (2 années et 2 traitements azotés) à Madagascar
Banana, sugar cane and market gardening plots, Guadeloupe, 1987
No full textA map of banana, sugarcane and market gardening plots was produced from scanned paper maps of Guadeloupe in 1987 published by the French Agriculture and Forestry Department. Paper maps have been digitized and georeferenced to be integrated into a Geographic Information System environment. Then, vectorization tools have been used to convert the scanned images (TIF format) into vector-based feature layers (shapefile format) (software: ESRI ArcMap and ArcScan Extension, Redlands, CA, USA).
Une carte des parcelles de culture de banane, de canne à sucre et de maraîchage a été produite à partir de cartes papier scannées de la Guadeloupe en 1987 publiées par la Direction de l'Agriculture et de la Forêt (DAF). Les cartes papiers ont été scannées et géoréférencées pour être intégrées dans un Système d'Information Géographique. Des outils de numérisation ont ensuite été utilisés pour convertir les images scannées (format TIF) en couches vectorielles (format shapefile) (logiciel : ESRI ArcMap and ArcScan Extension, Redlands, CA, USA
EURoot Wheat
No full textThe data come from the EURoot DB Information System (IS).(http://euroot.cirad.fr/euroot/JSP/index.jsp).
EURoot DB is the database of the EURoot project "Enhancing resource uptake from roots under stress in cereal crops". It manages information on QTLs, genes and mutants involved in root growth under stress (drought, low N or low P) in barley,
durum wheat, maize and rice.
This project funded by the European Comission and coordinated by CIRAD began on 1 January 2012 and ended on 31 December 2015.
It was the topic KBBE.2011.1.2-05 - Root signalling, growth and development under abiotic stress conditions of the FP7-KBBE - Specific Programme "Cooperation": Food, Agriculture and Biotechnology. 19 Participants from various jeuropean countries were
involved in this project.
The IS has a database per plant and the files of this dataset were extracted from the EURoot WHEAT database in tabulated text format. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact).
All publications concerning this dataset are recorded in the EUROOT_wheat_references‧txt
Data of on-farm assessment of cropping practices in a "one health" perspective, Winter wheat, France
No full textData measured in 44 farms covering a range of cropping practices, soil and production parameters under contrasted types of crop management: conventional and conservation agriculture. Eighty-six winter wheat fields located in Northwestern France were monitored for two growing seasons (2021/2022 and 2022/2023). The dataset encompasses data about cropping practices (tillage, soil cover, rotation, pesticides use, nutrition), soils (chemical, biological and physical parameters, including texture), and grain production (nutritional, technological and sanitary indicators)
Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
No full textR scripts for data filtering, climate decomposition, trend analysis ; locust table data, climate raster dat
Arabic corpus and entities dealing with animal disease surveillance extracted with PADI-web
No full textThe corpus contains 53 Arabic articles automatically extracted from the PADI-web tool (https://www.padi-web-one-health.org). Each article dealing with animal disease surveillance is associated with an Id.
Epidemiological named entities manually extracted from this Arabic corpus:
- Disease: Names of diseases affecting animals (example: مرض الالتهاب الشعبى المعدى، مرض الحمى القلاعية)
- Host: Names of animals (example: الأبقار، الجاموس، الكلاب)
- Location: Names of geographical locations and regions (example: الشرق الأوسط، مصر، المغرب)
- Date: References to specific or relative dates, including years, durations, months, and days. The characters used to separate the components of the date are an integral part of it (example: شهر كانون الثاني / يناير الجاري، لسنة 2017، الجمعة 17 ماي 2019، فبراير الماضي)
- Pathogen: Names of viruses, bacteria, fungi, or parasites capable of causing disease in a host (example: سات 2، O/EA-3، H5N1)
- Symptoms: Symptoms caused by diseases in animals (example: ترتفع درجة حرارة الحيوان، صعوبة في المشي والحركة، قروح القدم، عرج بالأرجل، فقد الشهية، موت)<br
TropGene Coconut
No full textThe data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp).
TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm.
The plants concerned are banana, breadfruit, citrus, cocoa, coconut palm, cotton, oil palm, rice, rubber, sorghum and sugarcane.
The IS has a database per plant. The data were produced by CIRAD researchers or by CIRAD researchers and colleagues associated in research projects.
All The data have been published.
The COCONUT data in this dataset produced between 2000 and 2016 were extracted from the TROPGENE_COCONUT database in tabulated text format files. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact) it belongs to.
The tropgene_coconut_references‧txt file contains the references of the scientific publications on these data