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Type: (datasets) Organism: Zea mays Type: (datasets) Author Name: Bauland, Cyril

1 to 4 of 4 Results

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...
DROPS maize GWAS analysis dataset Jun 17, 2019 - ThaliaDB maize Dataverse Nicolas, Stephane; Negro, Sandra; Millet, Emilie; Bauland, Cyril; Madur, Delphine; Combes, Valérie; Welcker, Claude; Tardieu, François; Charcosset, Alain, 2019, "DROPS maize GWAS analysis dataset", https://doi.org/10.15454/6TL2N4, Portail Data INRAE, V1 This dataset corresponds to the most significant SNP (-log(p-value)>5) identified by genome-wide association studies between the three traits (Flowering Time, Plant Height, Grain Yield) measured in 22 environments on a panel of 247 maize inbred lines. These analysis were conducte...
DROPS maize genotyping elaborate dataset Jun 17, 2019 - ThaliaDB maize Dataverse Nicolas, Stéphane; Madur, Delphine; Negro, Sandra; Combes, Valérie; Bauland, Cyril; Tardieu, François; Millet, Emilie; Welcker, Claude; Charcosset, Alain, 2019, "DROPS maize genotyping elaborate dataset", https://doi.org/10.15454/AEC4BN, Portail Data INRAE, V1 These three dataset correspond to three elaborate genotyping matrix after filtering and imputation published by Negro et al., (2019) in BMC Plant Biology: "Genotyping-by-sequencing and SNP arrays are complementary for detecting quantitative trait loci by tagging different haploty...
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...

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...

DROPS maize GWAS analysis dataset

Jun 17, 2019 - ThaliaDB maize Dataverse

Nicolas, Stephane; Negro, Sandra; Millet, Emilie; Bauland, Cyril; Madur, Delphine; Combes, Valérie; Welcker, Claude; Tardieu, François; Charcosset, Alain, 2019, "DROPS maize GWAS analysis dataset", https://doi.org/10.15454/6TL2N4, Portail Data INRAE, V1

This dataset corresponds to the most significant SNP (-log(p-value)>5) identified by genome-wide association studies between the three traits (Flowering Time, Plant Height, Grain Yield) measured in 22 environments on a panel of 247 maize inbred lines. These analysis were conducte...

DROPS maize genotyping elaborate dataset

Jun 17, 2019 - ThaliaDB maize Dataverse

Nicolas, Stéphane; Madur, Delphine; Negro, Sandra; Combes, Valérie; Bauland, Cyril; Tardieu, François; Millet, Emilie; Welcker, Claude; Charcosset, Alain, 2019, "DROPS maize genotyping elaborate dataset", https://doi.org/10.15454/AEC4BN, Portail Data INRAE, V1

These three dataset correspond to three elaborate genotyping matrix after filtering and imputation published by Negro et al., (2019) in BMC Plant Biology: "Genotyping-by-sequencing and SNP arrays are complementary for detecting quantitative trait loci by tagging different haploty...

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...

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