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Database on agroforestry and soil organic carbon in the Latin America and the Caribbean region
No full textThis dataset comprises data from a systematic review done after a comprehensive literature search conducted in January 2023 to identify peer-reviewed and grey literature on the impact of agroforestry on soil organic carbon (SOC) in Central America, the Caribbean, and specific regions of South America (Colombia, Peru, Ecuador, and Venezuela). We used the following academic databases: Web of Science Core Collection, Scopus, CAB Direct, and Agricola (accessed through the OVID platform, www.ovid.com). We also included Tthe institutional database of the Centro Agronómico Tropical de Investigación y Enseñanza (CATIE, https://repositorio.catie.ac.cr/) was also included to expand the search with grey literature (PhD and MSc thesis).
This database compiles the results of 60 studies, 311 paired observations of SOC storage rates and 332 response ratios (RR) from 44 and 54 field studies conducted between 1986 and 2022. From included studies, we extracted SOC data for both agroforestry plots and their corresponding control plots. We captured mean values, indicators of dispersion (standard error [SE] or standard deviation [SD]), and the number of replicates for both treatment and control groups.
Our database represents, to our knowledge the widest and most rigorous analysis of available data on the subject. This database can help bridging the knowledge gap on the role of agroforestry in soil carbon storage in the Latin America and the Caribbean (LAC) region. It also helps identifying key drivers of SOC storage variability and provide insights for developing effective carbon management strategies in agroforestry systems. It can provide robust guidance for policymakers and land managers seeking to optimize carbon sequestration and enhance ecosystem services in the LAC region
Growth and production data of a cassava variety in the Brazilian Cerrados under 4 treatments with and without irrigation and with and without plastic mulch
No full textThis set of data comes from of observations made on a cassava experimental field near Brasilia (Brazil) during two cropping season 2016/17 and 2017/18. The experiment was design to investigate the effect of plastic mulching and irrigation on cassava production.
It describes the evolution of LAI, light interception, leaf area, stem diameter and length, above-ground and below-ground biomass, and branch emission rate of the BRS 399 variety.
This dataset was collected following a methodology developed by CIAT and can be used to calibrate DSSAT
SNP data and phenotypes for oil palm training and test sets, and associated script for genomic predictions with multi-layer perceptron
No full textThe data come from two experimental designs located on the SOCFINDO estate in North Sumatra, Indonesia. One is used to train genomic prediction models, the other as test set. The SNP genotypes were obtained with a custom Affymetrix Axiom® SNP array. The phenotypes are fresh fruit bunch production (FFB) corresponding to annual cumulative bunch (kg), bunch number (BN) corresponding to annual cumulative bunch number, and annual average bunch weight (BW, in kg). The python script implements genomic prediction with the multi-layer perceptron artificial neural network
Dataset for establishing priority quality traits thresholds through correlation between instrumental measurements and sensory panel data at University of Dschang, Cameroon
No full textThe work that led to the production of this report 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. The dataset aimed at establishing priority quality traits thresholds through correlation between instrumental measurements and sensory panel data at University of Dschang, Cameroo
Enquete socio-économique contractualisation agro-environnementale collective - Hautes-Pyrénées, France - 2020
No full textLe domaine pastoral des Hautes-Pyrénées s’étend sur plus de 140 000 ha et est utilisé de façon collective par près de 1 200 éleveurs de début juin à fin octobre. La gestion de ces territoires, appartenant quasi exclusivement aux collectivités locales, est assurée par différentes entités : communes, commissions syndicales, syndicats, Groupements pastoraux, Associations Foncières Pastorales. Ces gestionnaires d’estives (GE) organisent l’accueil des troupeaux, assurent la majorité des travaux pastoraux et les opérations de gestion. Pour ce faire, ils disposent de diverses ressources : taxes de pâturage (baccades), bénévolat, subventions et contrats agri-environnementaux.
La contractualisation agri-environnementale dans le cadre du 2eme pilier de la Politique Agricole Commune (PAC) date de plus de trente ans et prend la forme entre 2015 et 2023 de mesures agro-environnementale et climatiques (MAEC). Ces mesures souscrites volontairement par des exploitations agricoles ou des entités collectives (i.e. les GE dans notre cas) pour une durée de 5 ans, ont pour objectif de soutenir des changements de pratiques en faveur de la protection de l’environnement (MAEC localisées: Ouvert03 ou Herbe09 ) ou le maintien de pratiques (MAEC système herbagers et pastoraux - SHP).
Cette enquête s’inscrit dans le projet de recherche-action Contracts2.0 (Co-design of novel contract models for innovative agri-environmental-climate measures and valorisation of environmental public goods) financé par la Commission Européenne.
Le CIRAD a travaillé avec le Groupement d’intérêt public CRPGE (Centre de Ressources sur le Pastoralisme et la Gestion de l’Espace) des Hautes Pyrénées pour étudier l’effet des mesures agro-environnementales sur la gestion collective des estives, et la mise en place avec les acteurs de terrain de dispositifs de concertation pour envisager l’évolution de ces contrats.
Les objectifs de l'enquête étaient de :
- Identifier les trajectoires de contractualisation agri-environnementale de 130 GE des Hautes –Pyrénées et les mettre en regard des caractéristiques des estives (taille, hétérogénéité spatiale, statut, ..).
- Analyser les modalités de la contractualisation (nombre de contractants, zones contractées, redistribution des paiements, ..) ainsi que l’utilisation faite des paiements.
- Analyser les attendus/ objectifs de la contractualisation, du point de vue des GE, les difficultés rencontrées et les adaptations réalisées
Ants from the BOUM project
No full textUrban Biodiversity of French Overseas Territories - The BOUM project aims to better understand French Guiana, Guadeloupe and Martinique urban ant biodiversity via the development of a citizen science initiative with schools across the three territories
Water absorption (WA20 and WA30) laboratory data with the corresponding NIRS spectra at CIAT, Colombia.
No full textThis dataset is a compilation of all the water absorption datasets of cassava harvested at CIAT (Colombia) from various projects in 2020, 2021,2022 and 2023 and their corresponding spectra
Dataset for assessing cassava cooking quality using NIR hyperspectral imaging at CIAT, Cali, Colombia
No full textThis database contains 2175 NIR spectra extracted from hyperspectral images of fresh cassava root slices from different genotypes, acquired at CIAT (Cali, Colombia) using a Specim FX17 hyperspectral camera. The database also includes WAB laboratory data measured on the same cassava root samples. Water absorption (WAB, %) measurements were performed by weighing the fresh roots before and after cooking for 30 minutes, and the WAB parameter (%) was calculated as described in the SOP: https://doi.org/10.18167/agritrop/00683
A series of PPR experimental infections to estimate exposure time to the virus
No full textA series of PPR experimental infections were conducted to estimate the exposure time, i‧e. the minimum time of exposure to a pathogen before becoming infected. To this end, the following information was collected for each animal involved: contact pattern; serological status; symptoms recorded; presence/absence of virus; date of onset. The experimental sessions took place at ISRA facilities in Sangalkam, Dakar Region, Senegal, between June 2021 and April 2022.
The dataset contains the results of 12 experimental infections conducted in five sessions involving six or seven goats in a secure stable. In each experiment, one animal was inoculated with PPR strain IV, collected from a case in Senegal, and placed in contact with the other naïve animals. All the animals were fitted with Ultra-WideBand sensors to collect data on inter-individual distances. This phase lasted between 1 and 48 hours across the experiments. In a second phase, the animals were isolated and data on symptoms, virology and serology were collected to determine health status. The data set contains, for each animal in each experiment, information about identity, device identification, the duration of the experiment, the date symptoms appeared and health status (positive or negative). Furthermore, for each experiment, the distance between the embedded devices is provided at a frequency of one second
Ants from the ArthroEcoFoG collection
No full textAnts sampled thanks to different scientific projects across French Guiana and Brazil