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Type: (dataverses OR datasets OR files) Publication Year: 2019 Type: (dataverses OR datasets OR files) Subject: Plant Breeding and Plant Products Type: (dataverses OR datasets OR files) Keyword Term: Phenotyping

1 to 4 of 4 Results

Wheat Crop Ontology Nov 15, 2019 - Vocabulaires Ouverts Pommier, Cyril; Letellier, Thomas; Pietragalla, Julian; Laporte, Marie Angélique; Arnaud, Elizabeth; Le Gouis, Jacques; Shrestha Rosemary, 2019, "Wheat Crop Ontology", https://doi.org/10.15454/3EDMCP, Portail Data INRAE, V1 The Wheat Crop Ontology list reference variables used for field or greenhouse experimentations and observations on Triticeae (Triticum, Hordeum, Aegilops, …). It is an international initiative gathering American and European contributions. Terms are organized following the Crop O...
A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios Nov 5, 2019 - URGI Plant and Fungi Dataverse Millet, Emilie J.; Pommier, Cyril; Buy, Mélanie; Nagel, Axel; Kruijer, Willem; Welz-Bolduan, Therese; Lopez, Jeremy; Richard, Cécile; Racz, Ferenc; Tanzi, Franco; Spitkot, Tamas; Canè, Maria-Angela; Negro, Sandra S.; Coupel-Ledru, Aude; Nicolas, Stéphane D.; Palaffre, Carine; Bauland, Cyril; Praud, Sébastien; Ranc, Nicolas; Presterl, Thomas; Bedo, Zoltan; Tuberosa, Roberto; Usadel, Björn; Charcosset, Alain; van Eeuwijk, Fred A.; Draye, Xavier; Tardieu, François; Welcker, Claude, 2019, "A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios", https://doi.org/10.15454/IASSTN, Portail Data INRAE, V2, UNF:6:zF9w0A2f+MHeW7maeeXJWA== [fileUNF] This dataset comes from the European Union project DROPS (DROught-tolerant yielding PlantS). A panel of 256 maize hybrids was grown with two water regimes (irrigated or rainfed), in seven fields in 2012 and 2013, respectively, spread along a climatic transect from western to east...
High throughput phenotyping of seeds from Beta vulgaris genotypes Oct 31, 2019 - URGI Plant and Fungi Dataverse Ducournau, Sylvie; Charrier, Aurélie; Wagner, Marie-Hélène; Demilly, Didier; Trigui, Ghassen; Boudehrie-Giresse, Karina; Le Corre, Laurence; Dupont, Audrey; Hamdy, Sherif; Delanoue, Angélique; Ledroit, Lydie; Landais, Laurence; Dürr, Carolyne; Charruaud, Dorothée, 2019, "High throughput phenotyping of seeds from Beta vulgaris genotypes", https://doi.org/10.15454/AKNF4Q, Portail Data INRAE, V1 Dataset obtain by high throughput phenotyping of seed morphology, germination and seedling heterotrophic growth traits on a sugar beet population of genotypes.
Beet Ontology Aug 5, 2019 - Vocabulaires Ouverts Verdelet, Daphné; Charruaud, Dorothée, 2019, "Beet Ontology", https://doi.org/10.15454/0JIL23, Portail Data INRAE, V2 This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution (INRAE, Geves, ITB, Unversité d'Angers) and breeding companies (Florimond Desprez).

Wheat Crop Ontology

Nov 15, 2019 - Vocabulaires Ouverts

Pommier, Cyril; Letellier, Thomas; Pietragalla, Julian; Laporte, Marie Angélique; Arnaud, Elizabeth; Le Gouis, Jacques; Shrestha Rosemary, 2019, "Wheat Crop Ontology", https://doi.org/10.15454/3EDMCP, Portail Data INRAE, V1

The Wheat Crop Ontology list reference variables used for field or greenhouse experimentations and observations on Triticeae (Triticum, Hordeum, Aegilops, …). It is an international initiative gathering American and European contributions. Terms are organized following the Crop O...

A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios

Nov 5, 2019 - URGI Plant and Fungi Dataverse

Millet, Emilie J.; Pommier, Cyril; Buy, Mélanie; Nagel, Axel; Kruijer, Willem; Welz-Bolduan, Therese; Lopez, Jeremy; Richard, Cécile; Racz, Ferenc; Tanzi, Franco; Spitkot, Tamas; Canè, Maria-Angela; Negro, Sandra S.; Coupel-Ledru, Aude; Nicolas, Stéphane D.; Palaffre, Carine; Bauland, Cyril; Praud, Sébastien; Ranc, Nicolas; Presterl, Thomas; Bedo, Zoltan; Tuberosa, Roberto; Usadel, Björn; Charcosset, Alain; van Eeuwijk, Fred A.; Draye, Xavier; Tardieu, François; Welcker, Claude, 2019, "A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios", https://doi.org/10.15454/IASSTN, Portail Data INRAE, V2, UNF:6:zF9w0A2f+MHeW7maeeXJWA== [fileUNF]

This dataset comes from the European Union project DROPS (DROught-tolerant yielding PlantS). A panel of 256 maize hybrids was grown with two water regimes (irrigated or rainfed), in seven fields in 2012 and 2013, respectively, spread along a climatic transect from western to east...

High throughput phenotyping of seeds from Beta vulgaris genotypes

Oct 31, 2019 - URGI Plant and Fungi Dataverse

Ducournau, Sylvie; Charrier, Aurélie; Wagner, Marie-Hélène; Demilly, Didier; Trigui, Ghassen; Boudehrie-Giresse, Karina; Le Corre, Laurence; Dupont, Audrey; Hamdy, Sherif; Delanoue, Angélique; Ledroit, Lydie; Landais, Laurence; Dürr, Carolyne; Charruaud, Dorothée, 2019, "High throughput phenotyping of seeds from Beta vulgaris genotypes", https://doi.org/10.15454/AKNF4Q, Portail Data INRAE, V1

Dataset obtain by high throughput phenotyping of seed morphology, germination and seedling heterotrophic growth traits on a sugar beet population of genotypes.

Beet Ontology

Aug 5, 2019 - Vocabulaires Ouverts

Verdelet, Daphné; Charruaud, Dorothée, 2019, "Beet Ontology", https://doi.org/10.15454/0JIL23, Portail Data INRAE, V2

This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution (INRAE, Geves, ITB, Unversité d'Angers) and breeding companies (Florimond Desprez).

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