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 1,032 Results
Plain Text - 24.2 KB - MD5: 006a1c225568b22de7c3c4c403a0066e
Data
Water use efficiency data formatted for calculation of RDPI, CV and ratio
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...
Plain Text - 2.3 KB - MD5: 14ddd46f06fadb7cda67ea80e2e9b867
Documentation
Data citation, description and terms of use.
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.
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.
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.
Tabular Data - 855 B - 3 Variables, 37 Observations - UNF:6:16TZwhPe8rEB4bTdEMzeVA==
Documentation
Description of the different variables present in the dataset.
Sep 27, 2024 - DYNADIV Team
Adji, Beda-Innocent; Chakocha Ngandjui, Armel Franklin; Guibien Cléophas Zerbo; Marie Louise Avana Tientcheu; Hardy, Olivier; Mariac, Cédric; Duminil, Jérôme, 2024, "Data on the Genetic Diversity Study of the African Olive (Canarium schweinfurthii, Burseraceae) in Africa for Climate Change Adaptation", https://doi.org/10.23708/GWRGBC, DataSuds, V1, UNF:6:j8ybPdLmWqOvh7eHYFEd2A== [fileUNF]
In Africa, the decline of numerous tree species due to rapid population growth, deforestation, and climate change is a major concern. Several native multi-purpose agroforestry species are at risk of losing genetic diversity, which may lead to their extinction. This is the case fo...
Tabular Data - 149.9 KB - 16 Variables, 743 Observations - UNF:6:K1riTjZfZ2JVAxPfqWcO3g==
DataDocumentation
Base de donnée (localité-coordonnées GPS-enquête ethno-dendrométrie-matériel végétal) pour étude de la diversité génétique de Canarium en Afrique and Data dictionary
MS Excel Spreadsheet - 20.8 MB - MD5: 71adfcaf96c326c18b9e34b238205f38
DataDocumentation
Global SSR markers sequences result by QDD software for individual CS19_ARM325 in Canarium schweinfurthii and Data dictionary
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