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1 to 10 of 62 Results
May 18, 2021
Sauvion, Nicolas, 2020, "Compilation of occurrence data for two psyllid species of the Cacopsylla pruni complex (Hemiptera: Psylloidea)", https://doi.org/10.15454/VC9UR5, Portail Data INRAE, V8, UNF:6:f1NtoN4YqMTEpO9OnC/eYg== [fileUNF]
Plant diseases associated with psyllid vectors have spread rapidly and globally among commercially important cultures, causing great economic damage (e.g., on stone fruit trees, citrus, and potatoes). A better understanding of the potential range of the vector and host species is...
Apr 10, 2021 - Transposons mobility in M. incognita
Kozlowski, Djampa, 2020, "TE polymorphisms detection and analysis", https://doi.org/10.15454/EWJCT8, Portail Data INRAE, V3, UNF:6:E+xGPf2dIik9HjdvU3Bv3A== [fileUNF]
This dataset contains i) output files from "Kozlowski D. 2020a. Transposable Elements prediction and annotation in the M. incognita genome. Portail Data INRAE [Internet]. Available from: https://doi.org/10.15454/EPTDOS", "Kozlowski D. 2020b. Transposable Elements prediction and a...
Feb 15, 2021 - eabx
Laplace Treyture, Christophe; Derot Jonathan; Prévost Emilie; Le Mat Anne; Jamoneau Aurélien, 2020, "Phytoplankton morpho-functional trait dataset from French water-bodies", https://doi.org/10.15454/GJGIAH, Portail Data INRAE, V2
The recent development of functional approaches may allow evaluating other aspects of ecosystem quality, functions and interactions with abiotic parameters or other communities. Here, our aim was to create a phytoplankton trait database at the national scale for France. This data...
Jan 19, 2021
Gay, Laurene, 2020, "Medicago truncatula flowering time data from: Evolution of flowering time in a selfing annual plant - Roles of adaptation and genetic drift", https://doi.org/10.15454/ZY83BE, Portail Data INRAE, V3, UNF:6:lq8IWDHWtTyKiDh07aSTRg== [fileUNF]
Phenotypic and genetic dataset for a population of Medicago truncatula located in Cape Corsica (CO3), analysed in "Evolution of flowering time in a selfing annual plant: Roles of adaptation and genetic drift". The readme file summarizes the different datasets available.
Jan 15, 2021 - Fruit tree phenology
Lanoue, David; Delépine, Anthony; Orain, Gilles; Lemarquand, Arnaud; Didelot, Frédérique, 2020, "Phenological data of 26 varieties of apple, apricot, cherry trees and peach trees in a French orchard of Loire Valley since 2016", https://doi.org/10.15454/SCTMIU, Portail Data INRAE, V3, UNF:6:4T2gNqOfSaaiDZo2PP5yWQ== [fileUNF]
These datasets contain phenological observations on 7 apple, apricot, cherry varieties or mutants and 5 peach varieties evaluated since 2016. These data come from observations carried out since 2016 on the "La Rétuzière" estate belonging to the Horticulture Experimental Facility...
Jan 15, 2021
Castagneyrol, Bastien; van Halder, Inge; Kadiri, Yasmine; Schillé, Laura; Jactel, Hervé, 2020, "Raw data for the paper "Host-mediated, cross-generational intraspecific competition in a herbivore species"", https://doi.org/10.15454/KMUX39, Portail Data INRAE, V3, UNF:6:t1nSuO9c2LkYU+KuXXPn/Q== [fileUNF]
The file contains raw data used in the paper "Host-mediated, cross-generational intraspecific competition in a herbivore species". `x` and `y` are the position of each box tree in the green house; `Treatment` is the prior herbivory treatment; `Clutch.number` is the total number o...
Jan 14, 2021 - Fruit tree phenology
Lanoue, David; Delépine, Anthony; Orain, Gilles; Lemarquand, Arnaud; Didelot, Frédérique; Maquaire, Jocelyn; Hameline, Sylviane, 2020, "Phenological data of 28 apple tree varieties and 4 pear tree varieties in a French orchard of Loire Valley since 2004", https://doi.org/10.15454/D4MJMJ, Portail Data INRAE, V2, UNF:6:QaG+2eDPTC0X1CRfoQSfCw== [fileUNF]
These datasets contain phenological observations on 28 apple varieties or mutants and 4 pear varieties evaluated since 2004. These data come from observations carried out since 2004 on the two sites of the Horticulture Experimental Facility based in the Loire Valley in France. Th...
Dec 30, 2020
Julier, Bernadette, 2020, "Genetic diversity for seed germination in response to temperature and scarification / Diversité génétique pour la germination des graines de luzerne en réponse à la température et à la scarification", https://doi.org/10.15454/YIECZS, Portail Data INRAE, V1, UNF:6:SaRyQd8LfUD4f7gDPMnhiw== [fileUNF]
Lucerne (Medicago sativa), a major perennial pasture legume, belongs to a species complex that includes several subspecies with wild and cultivated populations. Stand establishment may be compromised by poor germination. Seed scarification and deterioration as well as temperature...
Dec 17, 2020
Lefrançois, Estelle; Blancher, Philippe; Rimet, Frédéric; Bouchez, Agnès, 2020, "Strategy for Successful Integration of eDNA-based Methods in Aquatic Monitoring", https://doi.org/10.15454/29LFIW, Portail Data INRAE, V2
Recent developments in the use of environmental DNA are opening up new horizons for the assessment of the quality of aquatic environments. These rapid and cost-effective methods make it possible to identify all the taxa present in an environmental sample (water or biota). The pro...
Dec 9, 2020 - CARRTEL Dataverse
Tran-Khac, Viet; Perney, Pascal; Crépin, Laura; Quetin, Philippe; Domaizon, Isabelle; Jacquet, Stéphan; Espinat, Laurent; Gallot, Clémentine; Rasconi, Serena, 2020, "Physico-chemical dataset from an in situ mesocosm experiment simulating extreme climate events in Lake Geneva (MESOLAC)", https://doi.org/10.15454/PCOPYW, Portail Data INRAE, V1, UNF:6:+PqaQVuGKcgE7tN7q0gJfQ== [fileUNF]
This dataset corresponds to the physico-chemical parameters data series produced during the MESOLAC experimental project. The presented dataset is composed of: 1. In situ profiles (0-3m) of temperature, conductivitivy, pH, oxygen (concentration et saturation). 2. In situ measures...
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