41 to 50 of 267 Results
6 déc. 2023 - Genetique_Innovation_Varietale
Frouin, Julien; Labeyrie, Axel; Boisnard, Arnaud; Sacchi, Gian Attilio; Ahmadi, Nourollah, 2023, "Measurement of arsenic levels in the leaves and seeds of a panel of 300 japonica varieties and GBS genotyping of 228 of them", https://doi.org/10.18167/DVN1/E4X5VD, CIRAD Dataverse, V1
A measurement of arsenic levels in the leaves and seeds of a panel of 300 japonica rice varieties was carried out in 2014 in Camargue, France. With the aim of testing genomic prediction, GBS genotyping (ApekI enzyme) of 228 of them was also done. |
Cornelis, Daniel; Vanthomme, Hadrien; Assio, Cindy; Cornu, Guillaume; Deniau, Christophe; Dibotty-Di Moutsing, Stéphane Axel; Fonteyn, Davy; Groschene, Marion; Hega, Martin; Horion, Robin; Konradowki, Benoît; Leyanga, Ulrich Armel; Malignat, Rémi; Mamboundou Kouima, Guy Landry; Massoukou, Lucien; Moubagou, Yves-Éric; Ngwapaza, Michelle Edgardine; Ossele, Jeff; Pereira Dias, Samuel; Verbeke, Manon; Yia Okanabene, Mexan Noel; Vigneron, Philippe, 2023, "Camera trap survey data of the project "Sustainable Wildlife Management" in Gabon (Mulundu Department).", https://doi.org/10.18167/DVN1/TNBXCN, CIRAD Dataverse, V2
This dataset describes the camera trap campaigns undertaken in the hunting territories of 10 village communities located in Mulundu Department (Ogooué-Lolo Province, East Gabon), as well as in the adjacent Ivindo National Park (INP) and a nearby logging concession granted to Prec... |
Lavarenne, Jérémy, 2023, "High resolution map of plant available water content for Senegal, derived from iSDA Africa 30m soil properties maps using USDA Rosetta3 model", https://doi.org/10.18167/DVN1/SGNSII, CIRAD Dataverse, V2
Purpose: The purpose of this dataset is to provide a high resolution map of available water content for Senegal and Gambia derived from 30m soil properties maps using the iSDA Africa dataset and the USDA Rosetta3 model. The map can be used to notably support spatialized crop simu... |
21 nov. 2023 - UPR Forêts et Sociétés
Cornelis, Daniel; Melletti, Mario; Renaud, Pierre-Cyril; Fonteyn, Davy; Bonhotal, Hannah; Prins, Herbertus; Chardonnet, Philippe; Caron, Alexandre, 2023, "The African buffalo database", https://doi.org/10.18167/DVN1/AK1NQY, CIRAD Dataverse, V1
This database provides information on the presence, abundance and distribution of the African buffalo at the scale of the entire African continent. For this purpose, we conducted a literature search to uncover published information. We also carried out an extensive survey of nati... |
16 nov. 2023 - UPR AIDA
Christina, Mathias, 2023, "Simulations des rendements canniers de 2016 à 2100 sur l'île de La Réunion avec le modèle Mosicas", https://doi.org/10.18167/DVN1/B2Z5RQ, CIRAD Dataverse, V1, UNF:6:NxIp26qxklZeeybFXgDxUQ== [fileUNF]
Cette étude évalue les prédictions de rendement de canne à sucre sur l’ensemble des surfaces de canne à sucre de l’île de La Réunion sur la période couvrant 2015 à 2100, suivant trois scénarios de changement climatique (réchauffement limité à 2, 3 ou 6°C). Les projection climatiq... |
15 nov. 2023 - UMR PVBMT
Pruvost, Olivier; Ibrahim, Yasser Eid; Sharafaddin, Anwar Hamoud; Boyer, Karine; Widyawan, Arya; Al-Saleh, Mohammed Ali, 2023, "Molecular epidemiology of the citrus bacterial pathogen Xanthomonas citri pv. citri from the Arabian Peninsula reveals a complex structure of specialist and generalist strains", https://doi.org/10.18167/DVN1/CI05C6, CIRAD Dataverse, V1, UNF:6:ZA9WXvEFZuzC/GsdrrBwCg== [fileUNF]
Raw data for Pruvost et al., 2022, Evolutionary Applications, Molecular epidemiology of the citrus bacterial pathogen Xanthomonas citri pv. citri from the Arabian Peninsula reveals a complex structure of specialist and generalist strains |
8 nov. 2023 - Genetique_Innovation_Varietale
Pot David; Thomas Hélène Laurence; Jaffuel Sylvie; Christelle Baptiste; Laurent Bonnal; Gilles Trouche; Denis Bastianelli; Eric Latrille; Angélique Berger; Caroline Calatayud; Céline Chauvergne; Virginie Rossard; Patrice Jeanson; Joël Alcouffe; Hélène Carrère, 2023, "Industrial, biochemical and histochemical properties of sorghum stems harvested from 5 trials in France", https://doi.org/10.18167/DVN1/JYQLEK, CIRAD Dataverse, V1
This dataset contains phenotypic information regarding the industrial properties (anaerobic digestion, combustion, animal digestibility), stem biochemical composition and internode anatomy of 57 genotypes that have been cultivated in 5 sites in France between 2012 and 2014. This... |
8 nov. 2023 - Genetique_Innovation_Varietale
Pereira de Castro, Adriano; Breseghello, Flávio; Volpi Furtini, Isabela; Marico Utumi, Marley; Almeida Pereira, José; Cao, Tuong-Vi; Bartholomé, Jérôme, 2023, "Phenotypic data of the CNA6 population from cycle 3 to cycle 7", https://doi.org/10.18167/DVN1/O9TJEO, CIRAD Dataverse, V1, UNF:6:58koioPKJ0jJHqyKSVqCaw== [fileUNF]
The CNA6 population, evaluated over five cycles (3 to 7) of selection, including 20 field trials, was used to assess the realized genetic gain. The experimental data used in this study was generated in multisite trials conducted on S0:2 families from five cycles of recurrent sele... |
Lavarenne, Jérémy, 2023, "High resolution map of plant available water content for Burkina Faso, derived from iSDA Africa 30m soil properties maps using USDA Rosetta3 model", https://doi.org/10.18167/DVN1/QNX5HU, CIRAD Dataverse, V1
Purpose: The purpose of this dataset is to provide a high resolution map of available water content for Burkina Faso derived from 30m soil properties maps using the iSDA Africa dataset and the USDA Rosetta3 model. The map can be used to notably support spatialized crop simulation... |
Rasamoelina, Harena; Veerapa-Mangroo, Lovena Preeyadarshini; Bedja, Said Ahmed; Roche, Mathieu, 2023, "Mots-clés pour PADI-web mis en place dans l'Océan Indien", https://doi.org/10.18167/DVN1/E7WMAO, CIRAD Dataverse, V1
Au cours d’un atelier de travail entre le CIRAD et la COI (Commission de l'océan Indien) organisé en octobre 2023 à Ebène (Mauritius) et adossé au projet MOOD, une liste de mots-clés a été produite. Ce lexique est lié à trois maladies à surveiller (Leptospirose, Dengue, Influenza... |
