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Type: (dataverses OR datasets) Type: (dataverses OR datasets) Subject: Plant Breeding and Plant Products Type: (dataverses OR datasets) Subject: Biodiversity and Ecology

1 to 10 of 30 Results

Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience Mar 8, 2019 - Multi Criteria Assessment Methods Gésan-Guiziou, Geneviève; Alaphilippe, Aude; Andro, Mathieu; Aubin, Joël; Bockstaller, Christian; Botreau, Raphaëlle; Buche, Patrice; Collet, Catherine; Darmon, Nicole; Delabuis, Monique; Girard, Agnès; Grateau, Régis; Kansou, Kamal; Martinet, Vincent; Membré, Jeanne-Marie; Sabbadin, Régis; Soler, Louis-Georges; Thiollet-Scholtus, Marie; Tonda, Alberto; Van-Der-Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience", https://doi.org/10.15454/WB51LL, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF] This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers.
Biogeco Dataverse(INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement - www.inrae.fr) May 18, 2018Experimental - Observation - Simulation Dataverse BIOGECO (BIOdiversité, GEnes & COmmunautés) est une Unité Mixte de Recherche (UMR) de l’INRAE et de l’université de Bordeaux. L’unité comprend des spécialistes de l’écologie, de la génétique des populations, quantitative et évolutive. Les activités de recherche menées par BIOGECO...
Carbon and Nitrogen leaf traits on 'Golden Delicious' apple trees Nov 24, 2020 Ngao, Jerome; Martinez, Sebastien; Marquier, Andre; Bluy, Sylvie; Saint-Joanis, Brigitte; Costes, Evelyne; Pallas, Benoit, 2020, "Carbon and Nitrogen leaf traits on 'Golden Delicious' apple trees", https://doi.org/10.15454/HGONZV, Portail Data INRAE, V2, UNF:6:Ma4lJA03kgPKwmWnmmBUew== [fileUNF] This dataset was built on ‘Golden Delicious’ apple trees with either high or low crop loads. For these trees, we concomitantly assessed the impacts of intercepted light and crop load on within-tree spatial variability in carbon- and nitrogen-related traits. Furthermore, we analyz...
CORNPESTS(www.inrae.fr) Aug 5, 2020Experimental - Observation - Simulation Dataverse The CORNPESTS dataverse encloses data generated by researchers from Institut Diversité, Ecologie, Evolution du Vivant (IDEEV) concerning the interactions between maize and two stem borers, the Mediterranean corn borer Sesamia nonagrioides and the European corn borer Ostrinia nubi...
Dispositifs (INRA - Institut National de la Recherche Agronomique) Jan 13, 2021Fourrages ligneux Ce dataverse a pour vocation de rassembler les descriptions des dispositifs expérimentaux dédiés à l’étude des fourrages ligneux (arbres, arbustes ou lianes fourragères). This dataverse aims to gather descriptions of experimental sites dedicated to the study of fodder trees, shru...
Ecophysiology and Grain-Legumes WoS DataSet 1980-2018 Nov 5, 2019 VOISIN, Anne-Sophie; JOURNET, Etienne-Pascal; LEISER, Hugues; CABANAC, Guillaume, 2019, "Ecophysiology and Grain-Legumes WoS DataSet 1980-2018", https://doi.org/10.15454/F0CNNS, Portail Data INRAE, V1, UNF:6:IMRDDP4bNCY3/dwDTQpwNA== [fileUNF] The text file corresponds to the search query capturing the main ecophysiology research theme on grain-legumes (both soya and pulses, see Species Grain-Legumes WoS dataset) to be applied on the WoS (Web of Knowledge). This search query is restricted to the main types of scientifi...
Experimental - Observation - Simulation Dataverse(www.inrae.fr) Jan 18, 2018
Fluorescence intensity datasets and R scripts to predict allelic frequencies in DNA bulks using maize 50K Illumina array Dec 8, 2020 - ThaliaDB maize Dataverse Nicolas, Stéphane; Madur, Delphine; Charcosset, Alain; Bauland, Cyril; Combes, Valérie; Berard, Aurélie; Arca, Mariangela; Mary-Huard, Tristan; Le Paslier, Marie-Christine; Gouesnard, Brigitte, 2020, "Fluorescence intensity datasets and R scripts to predict allelic frequencies in DNA bulks using maize 50K Illumina array", https://doi.org/10.15454/GANJ7J, Portail Data INRAE, V1, UNF:6:IvZiMGs4Oo8oWZqgBbcDdA== [fileUNF] R scripts and fluorescence intensity datasets of 24 controlled pools and 327 inbred lines panels extracted from 50K Illumina Infinium HD array (Ganal et al., 2010). These datasets and R scripts can be used to calibrate a model to predict allelic frequencies in new DNA bulks using...
Fourrages ligneux(INRAE) Jun 23, 2020Experimental - Observation - Simulation Dataverse Ce dataverse a pour vocation de rassembler les résultats des travaux réalisés sur les fourrages ligneux (arbres, arbustes ou lianes fourragères), qu’ils concernent leur valeur nutritive, la quantité de biomasse produite ou ingérée ou bien le comportement des animaux. This dataver...
Fruit tree phenology(INRAE - Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement) Jun 17, 2020Unité Expérimentale Horticole This Dataverse is composed both of phenological data of 5 species of fruit trees (apple, pear, cherry, peach and apricot) present on the Horticulture Experimental Facility, as well as meteorological data.

Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience

Mar 8, 2019 - Multi Criteria Assessment Methods

Gésan-Guiziou, Geneviève; Alaphilippe, Aude; Andro, Mathieu; Aubin, Joël; Bockstaller, Christian; Botreau, Raphaëlle; Buche, Patrice; Collet, Catherine; Darmon, Nicole; Delabuis, Monique; Girard, Agnès; Grateau, Régis; Kansou, Kamal; Martinet, Vincent; Membré, Jeanne-Marie; Sabbadin, Régis; Soler, Louis-Georges; Thiollet-Scholtus, Marie; Tonda, Alberto; Van-Der-Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience", https://doi.org/10.15454/WB51LL, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]

This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers.

Biogeco Dataverse(INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement - www.inrae.fr)

May 18, 2018Experimental - Observation - Simulation Dataverse

BIOGECO (BIOdiversité, GEnes & COmmunautés) est une Unité Mixte de Recherche (UMR) de l’INRAE et de l’université de Bordeaux. L’unité comprend des spécialistes de l’écologie, de la génétique des populations, quantitative et évolutive. Les activités de recherche menées par BIOGECO...

Carbon and Nitrogen leaf traits on 'Golden Delicious' apple trees

Nov 24, 2020

Ngao, Jerome; Martinez, Sebastien; Marquier, Andre; Bluy, Sylvie; Saint-Joanis, Brigitte; Costes, Evelyne; Pallas, Benoit, 2020, "Carbon and Nitrogen leaf traits on 'Golden Delicious' apple trees", https://doi.org/10.15454/HGONZV, Portail Data INRAE, V2, UNF:6:Ma4lJA03kgPKwmWnmmBUew== [fileUNF]

This dataset was built on ‘Golden Delicious’ apple trees with either high or low crop loads. For these trees, we concomitantly assessed the impacts of intercepted light and crop load on within-tree spatial variability in carbon- and nitrogen-related traits. Furthermore, we analyz...

CORNPESTS(www.inrae.fr)

Aug 5, 2020Experimental - Observation - Simulation Dataverse

The CORNPESTS dataverse encloses data generated by researchers from Institut Diversité, Ecologie, Evolution du Vivant (IDEEV) concerning the interactions between maize and two stem borers, the Mediterranean corn borer Sesamia nonagrioides and the European corn borer Ostrinia nubi...

Dispositifs (INRA - Institut National de la Recherche Agronomique)

Jan 13, 2021Fourrages ligneux

Ce dataverse a pour vocation de rassembler les descriptions des dispositifs expérimentaux dédiés à l’étude des fourrages ligneux (arbres, arbustes ou lianes fourragères). This dataverse aims to gather descriptions of experimental sites dedicated to the study of fodder trees, shru...

Ecophysiology and Grain-Legumes WoS DataSet 1980-2018

Nov 5, 2019

VOISIN, Anne-Sophie; JOURNET, Etienne-Pascal; LEISER, Hugues; CABANAC, Guillaume, 2019, "Ecophysiology and Grain-Legumes WoS DataSet 1980-2018", https://doi.org/10.15454/F0CNNS, Portail Data INRAE, V1, UNF:6:IMRDDP4bNCY3/dwDTQpwNA== [fileUNF]

The text file corresponds to the search query capturing the main ecophysiology research theme on grain-legumes (both soya and pulses, see Species Grain-Legumes WoS dataset) to be applied on the WoS (Web of Knowledge). This search query is restricted to the main types of scientifi...

Experimental - Observation - Simulation Dataverse(www.inrae.fr)

Jan 18, 2018

Fluorescence intensity datasets and R scripts to predict allelic frequencies in DNA bulks using maize 50K Illumina array

Dec 8, 2020 - ThaliaDB maize Dataverse

Nicolas, Stéphane; Madur, Delphine; Charcosset, Alain; Bauland, Cyril; Combes, Valérie; Berard, Aurélie; Arca, Mariangela; Mary-Huard, Tristan; Le Paslier, Marie-Christine; Gouesnard, Brigitte, 2020, "Fluorescence intensity datasets and R scripts to predict allelic frequencies in DNA bulks using maize 50K Illumina array", https://doi.org/10.15454/GANJ7J, Portail Data INRAE, V1, UNF:6:IvZiMGs4Oo8oWZqgBbcDdA== [fileUNF]

R scripts and fluorescence intensity datasets of 24 controlled pools and 327 inbred lines panels extracted from 50K Illumina Infinium HD array (Ganal et al., 2010). These datasets and R scripts can be used to calibrate a model to predict allelic frequencies in new DNA bulks using...

Fourrages ligneux(INRAE)

Jun 23, 2020Experimental - Observation - Simulation Dataverse

Ce dataverse a pour vocation de rassembler les résultats des travaux réalisés sur les fourrages ligneux (arbres, arbustes ou lianes fourragères), qu’ils concernent leur valeur nutritive, la quantité de biomasse produite ou ingérée ou bien le comportement des animaux. This dataver...

Fruit tree phenology(INRAE - Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)

Jun 17, 2020Unité Expérimentale Horticole

This Dataverse is composed both of phenological data of 5 species of fruit trees (apple, pear, cherry, peach and apricot) present on the Horticulture Experimental Facility, as well as meteorological data.

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