UMR DIADE

DIversity - Adaptation - plant DEvelopment

The DIADE Research Unit aims to understand the diversification of tropical plants, one of the main original reservoirs of biodiversity, and for which conservation, management and exploitation are an important issue for Sustainable Development.

The nine teams forming the Unit belong to IRD, University of Montpellier, CIRAD, and CNRS.

CERES Team

DYNADIV Team

PANEEC Team

EVOGEC Team

ADvENS Team

AgroLD

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

301 to 310 of 1,043 Results

Residus_IonoMil_WW_2021.txt Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022) Plain Text - 31.7 KB - MD5: 2fe1a762a84469f22831013acb1fc369 Data Residuals of the linear regression between individual ion concentrations (BLUEs) and flowering time measured under the well-watered treatment in 2021
Residus_IonoMil_WW_2022.txt Jan 30, 2025 - Leaf ion content in pearl millet (Senegal, 2021-2022) Plain Text - 31.8 KB - MD5: fa5e3adc5157d85417597c57f1f464dc Data Residuals of the linear regression between individual ion concentrations (BLUEs) and flowering time measured under the well-watered treatment in 2022
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 - CERES Team 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...

Residus_IonoMil_WW_2021.txt

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

Plain Text - 31.7 KB -

Data

Residuals of the linear regression between individual ion concentrations (BLUEs) and flowering time measured under the well-watered treatment in 2021

Residus_IonoMil_WW_2022.txt

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

Plain Text - 31.8 KB -

Data

Residuals of the linear regression between individual ion concentrations (BLUEs) and flowering time measured under the well-watered treatment in 2022

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 - CERES Team

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...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications