CERES Team

CERES Team: CEreal Roots Systems

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61 to 70 of 125 Results

RUN_boxcox_transformation.r Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022) R Syntax - 15.9 KB - MD5: 2197d4e493f646297ed03db3e371a516 Code R script used to transform BLUEs and residues in order to achieve normality
RUN_fisher_combining.R Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022) R Syntax - 18.8 KB - MD5: 97c87ba6aa07de5baf01177be72fcb22 Code R script used to perform the Fisher combining analysis
RUN_GWAS_ionomil.R Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022) R Syntax - 10.4 KB - MD5: 18a3cee3c24956d4bd8fc0ce8f97d939 Code R script used to perform the association analyses
RUN_linear_regression.r Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022) R Syntax - 3.4 KB - MD5: edde31ddcad90b96aaf8d6dda72103c8 Code R script used to calculate the residues
RUN_Manhattan_plots.R Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022) R Syntax - 15.9 KB - MD5: 5afad459c14f98f4ee48646df79ded40 Code R script used to perform the Manhattan plots
Soil_Data_IonoMil.tab Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022) Tabular Data - 41.0 KB - 23 Variables, 206 Observations - UNF:6:aQhYLUxEvS8gzYHzKlaUXg== Data Ion content in the soil
Table_sig_snp.tab Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022) Tabular Data - 12.7 KB - 8 Variables, 161 Observations - UNF:6:UyVPQ9FB7/NPKtyfMw02eA== Data Table containing the 161 significant SNP identified
Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025) Jan 16, 2025 Grondin, Alexandre; Arenas, Sebastian; Djabali, Yacine; Rincent, Renaud; Cubry, Philippe; Martin, Marie-Laure; Blein-Nicolas, Mélisande; Laplaze, Laurent; Schneider, Hannah, 2025, "Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)", https://doi.org/10.23708/O64HQY, DataSuds, V1, UNF:6:GqRZeZVaQq+yHEkPq3ah+w== [fileUNF] Phenotypic plasticity can contribute to crop adaptation to challenging environments. Plasticity indices are potentially useful to identify the genetic basis of crop phenotypic plasticity. Numerous methods exist to measure phenotypic plasticity. Among those, the ratio (also called...
0_Plasticity_Data_Dictionary.tab Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025) Tabular Data - 8.4 KB - 3 Variables, 56 Observations - UNF:6:GqRZeZVaQq+yHEkPq3ah+w== Documentation Data dictionary
0_ReadMe.txt Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025) Plain Text - 3.4 KB - MD5: 6d07adff7673d9c7bb59d1cff490d072 Documentation Dataset citation, description and terms of use

RUN_boxcox_transformation.r

Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022)

R Syntax - 15.9 KB -

Code

R script used to transform BLUEs and residues in order to achieve normality

RUN_fisher_combining.R

Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022)

R Syntax - 18.8 KB -

Code

R script used to perform the Fisher combining analysis

RUN_GWAS_ionomil.R

Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022)

R Syntax - 10.4 KB -

Code

R script used to perform the association analyses

RUN_linear_regression.r

Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022)

R Syntax - 3.4 KB -

Code

R script used to calculate the residues

RUN_Manhattan_plots.R

Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022)

R Syntax - 15.9 KB -

Code

R script used to perform the Manhattan plots

Soil_Data_IonoMil.tab

Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022)

Tabular Data - 41.0 KB - 23 Variables, 206 Observations -

Data

Ion content in the soil

Table_sig_snp.tab

Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022)

Tabular Data - 12.7 KB - 8 Variables, 161 Observations -

Data

Table containing the 161 significant SNP identified

Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)

Jan 16, 2025

Grondin, Alexandre; Arenas, Sebastian; Djabali, Yacine; Rincent, Renaud; Cubry, Philippe; Martin, Marie-Laure; Blein-Nicolas, Mélisande; Laplaze, Laurent; Schneider, Hannah, 2025, "Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)", https://doi.org/10.23708/O64HQY, DataSuds, V1, UNF:6:GqRZeZVaQq+yHEkPq3ah+w== [fileUNF]

Phenotypic plasticity can contribute to crop adaptation to challenging environments. Plasticity indices are potentially useful to identify the genetic basis of crop phenotypic plasticity. Numerous methods exist to measure phenotypic plasticity. Among those, the ratio (also called...

0_Plasticity_Data_Dictionary.tab

Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)

Tabular Data - 8.4 KB - 3 Variables, 56 Observations -

Documentation

Data dictionary

0_ReadMe.txt

Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)

Plain Text - 3.4 KB -

Documentation

Dataset citation, description and terms of use

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