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EURoot Barley
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 BARLEY 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).
Genes can be found in the EUROOT_barley_markers‧txt file.
All publications concerning this dataset are recorded in the EUROOT_barley_references‧txt file
sRNA dataset of Cavendish BSOLV infected plant (BPO-64)
No full textDeep sequencing of sRNA from Cavendish BSOLV infected plant (BPO-64
Composition chimique des ressources pour l'alimentation animale au Tchad
No full textCe jeu de données présente la composition chimique des principales matières premières et sous produits disponibles pour l'alimentation animale au Tchad
Mobility, behaviour and land-use data from GPS tracking and hidden Markov model training on cattle herds in Sahel agropastoral systems
No full textContains positional, behavioural and environmental data for cattle herds in West Africa.
(Illustration from the related publication)
Extent of the data
The dataset contains tracking data from 15 collars, fitted on 21 Zebus of the Gobra breed in 19 transhumant and resident herds. Observations were recorded every 30 minutes, between May 2021 and December 2023. Three seasons of transhumance from the home-villages in the Niakhar area, to the outskirts of Tambacounda and the Ferlo region were recorded.
Data description
Each observation contains recorded (R) and computed (C) information.
- Identification of the collar and animal
Trajectory data:
- Positional information (R): longitude, latitude, altitude and timestamp
- Dilution of precision of the point (R)
- Distance to the previous point (C)
- Angle between the trajectories from the previous point and to the next (C)
Behavioural data:
- Activity state the herd is in, as estimated by the HMM (C)
Environmental data:
- Temperature of the air, as recorded by the collar (R)
- Ongoing season (cold dry season: November – February, warm dry season: March – May, rainy season: June – October) (C)
- Whether it is daytime or nighttime, based on the sunset and sunrise time (C)
- Soil occupation data from the coarse, Globcover dataset (C)
Data collection
Raw GPS and accelerometer data were collected using Vertex Lite GPS Collars (see below). Behavioural activity was inferred using a hidden Markov model, the Viterbi algorithm, a non-linear minimisation algorithm and parameter sampling, as described in the related publication (DOI). Data preparation and analysis was conducted using the HAMAC routine (https://gitlab.cirad.fr/selmet/hamac) and the moveHMM R package (https://doi.org/10.1111%2F2041-210X.12578).<br
Données techniques et socio-économiques des producteurs maraîchers dans 4 villes Ivoiriennes, 2023
No full textDes informations sur les systèmes de production maraîchère dans les quatre zones d’intervention du projet MARIGO. Données techniques et socio-économiques (y compris des éléments de profil de risque) visant à comprendre les motivations des producteurs pour l'adoption de certains pratiques agricoles
Martinique daily interpolated rainfall, 1980-2021, obtained via ordinary kriging
No full textDescription: This dataset provides daily interpolated rainfall maps for Martinique island, for the period 1980-2021, at 0.001° resolution, derived from daily rain gauge data observations.
Dataset Preparation Methods: These maps were obtained by performing interpolation from daily rain gauge data (Martinique ORSTOM-DIREN dataset v1 doi:10.5281/zenodo.10263910), using ordinary kriging with fitting of Exponential variogram models. Resolution of interpolation is 0.001°. The daily results were assembled into yearly netCDF files.
Funding: This project did not receive any funding.
Authors Contributions:
- Data treatment: Jérémy Lavarenne
- Documentation: Jérémy Lavarenne
Changelog:
- v1 : initial submission</p
Inventaire des arbres dans 223 cacaoyères agroforestières au Cameroun
No full textInventaire des arbres dans 223 parcelles de cacaoyère agroforestière au Camerou
Risk assessment of HPAI H5 viruses spread within French broiler and layer production networks
No full textThis repository contains data and script to assess the risk of highly pathogenic avian influenza H5 viruses within the French broiler production networks. After drawing up a scenario tree of virus transmission from one farm to another, data were collected through a literature review or through experts’ elicitation. Three questionnaires were developed according to the experts’ field of expertise: avian influenza, broiler and layer sectors. The dataset provide the data ready for analysis and the scripts used to combined the data. The experts’ estimates were combined using a beta distribution weighted by their confidence level. A Monte Carlo iteration process was used to combine the different probabilities of the scenario tree and to assess the transmission risk
Dataset on the effect of organic farming on microbial and macrofaunal litter decomposition in banana fields
No full text[FR] Données d'une expérience de terrain dans les agroécosystèmes bananiers de la Martinique (Petites Antilles). Six bananeraies biologiques et six bananeraies conventionnelles situées dans deux zones bioclimatiques de l'île ont été étudiées. Pour mesurer la contribution microbienne et de la macrofaune à la décomposition, 264 sacs de litière à petites et grandes mailles ont été placés et laissés sur le terrain pendant trois mois. La composition chimique ainsi que la décomposition de litière de feuilles de bananier contaminée par le glyphosate et de litière de feuilles de bananier sans glyphosate a été étudiée. Les caractéristiques biotiques (couverture végétale, abondance et composition de la macrofaune détritivore) et abiotiques (variables microclimatiques) ont également été mesurées.
[EN] Data from a field experiment in the banana agroecosystems of Martinique (Lesser Antilles). Six organic and six conventional banana plantations located in two bioclimatic zones of the island were studied. To measure the microbial and macrofaunal contribution to decomposition, 264 bags of small- and large-mesh litter were placed and left in the field for three months. The chemical composition and decomposition of glyphosate-contaminated and glyphosate-free banana leaf litter were studied. Biotic (plant cover, abundance and composition of detritivorous macrofauna) and abiotic (microclimatic variables) characteristics were also measured
A dataset of yield and morphology traits of a large collection of plantain variety (Musa accuminata x Musa balbisiana)
No full textThis dataset describes 135 varieties of plantains cultivated in non-limiting nutritional conditions, as a varietal collection, in the CARBAP research station (Cameroun).
The dataset includes : 1 data dictionary and 1 data file.
Each variety was replicated 5 times and monitored for 5 cycles. Growth parameters (height and girth circonference) were observed monthly on the first cycle and at flowering for the following cycles. Leaf area of some remarkable leaves were measured at cycles 1, 3, 4 and 5 and enabled to calculate the plant total leaf area for the cycles 3 to 5. The data file also includes intervals related to plant phenology in days an in degree-days for the 5 cycles and yield components for the 5 cycles. Finally, observations on the ratoon in cycle 2 to 5 are available