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.
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321 to 330 of 1,043 Results
Phenotypic_Mean.txt
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
Plain Text - 92.7 KB - MD5: 00de13f5ac45af0624c9ec6e64b3dbec
Data
Leaf area, shoot biomass and water use efficiency measured on 244 maize genotypes grown under well-watered and water stress treatments in four independent trials performed in different years and seasons
Plasticity_Leaf_area.R
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
R Syntax - 5.1 KB - MD5: 72174bca3b6997ccdec54f711fbc92c3
Code
Script used to calculate the different plasticity indices (ratio, RDPI, CV, Slope, MSE, D and ASV) for leaf area
Step_Forward_approach_Leaf_area_ratio_QTLs.R
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
R Syntax - 9.0 KB - MD5: 697d52550175ea56dc6d4916a2fe2502
Code
Script used to perform the step forward analysis for the ratio of leaf area
WUE_FW_AMMI.txt
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
Plain Text - 72.2 KB - MD5: 95598ebda96baaa76590feeedc2f48af
Data
Water use efficiency data formatted for the Finlay-Wilkinson and AMMI analysis
WUE_RDPI_CV_Ratio.txt
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
Plain Text - 24.2 KB - MD5: 006a1c225568b22de7c3c4c403a0066e
Data
Water use efficiency data formatted for calculation of RDPI, CV and ratio
Grain ionomic in Vietnamese rice landraces (2019-2024)
Sep 30, 2024 - CERES Team
Grondin, Alexandre; Tran, Hien Linh; Hoang, Giang Thi; Gantet, Pascal, 2024, "Grain ionomic in Vietnamese rice landraces (2019-2024)", https://doi.org/10.23708/A76RP9, DataSuds, V1, UNF:6:9e39AEthrB4VQqWHkzzsgQ== [fileUNF]
Rice (Oryza sativa L.) is a staple food for half of the world’s population and its biofortification is a key factor in fighting micronutrient malnutrition. However, harmful heavy metals tend to accumulate in rice grains due to soil and water contamination. Therefore, it is import...
0_ReadMe.txt
Sep 30, 2024 - Grain ionomic in Vietnamese rice landraces (2019-2024)
Plain Text - 2.3 KB - MD5: 14ddd46f06fadb7cda67ea80e2e9b867
Documentation
Data citation, description and terms of use.
Grain_Ion_Content_Vietnamese_Rice_Collection_BLUEs.tab
Sep 30, 2024 - Grain ionomic in Vietnamese rice landraces (2019-2024)
Tabular Data - 72.0 KB - 18 Variables, 368 Observations - UNF:6:igBoww0d9b4MIhbi7Laccg==
Data
BLUEs of ion content measured in brown grains (BR) and white grains (WR) in the 184 genotypes of the Vietnamese rice collection.
Grain_Ion_Content_Vietnamese_Rice_Collection_Raw_data.tab
Sep 30, 2024 - Grain ionomic in Vietnamese rice landraces (2019-2024)
Tabular Data - 190.4 KB - 26 Variables, 1104 Observations - UNF:6:vayqX0fWMjZtqvZmRl3F3Q==
Data
Raw dataset of ion content measured in brown grains (BR) and white grains (WR) in the 184 genotypes of the Vietnamese rice collection.
Passport_Data_Vietnamese_Rice_Collection.tab
Sep 30, 2024 - Grain ionomic in Vietnamese rice landraces (2019-2024)
Tabular Data - 13.3 KB - 8 Variables, 184 Observations - UNF:6:TLrs80WpaU6/uJ3IIAHO8A==
Documentation
Passport data of the different genotypes present in the Vietnamese rice collection.
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