1,341 to 1,350 of 8,263 Results
Tabular Data - 1.7 MB - 2 Variables, 87599 Observations - UNF:6:ygrio3eO7gtGWXdYaGrxBw==
6-min rainfall |
Tabular Data - 99.5 KB - 2 Variables, 6754 Observations - UNF:6:dxRoRFZKGZeLGyNuXPW97A==
Daily rainfall |
Tabular Data - 20.1 KB - 18 Variables, 152 Observations - UNF:6:XVrdmymbqxZgZrn2QtlyZA==
Gerlach trough |
Tabular Data - 25.0 KB - 17 Variables, 180 Observations - UNF:6:wZoXryasgTTpi84Vbt7WLA==
Microplot |
Comma Separated Values - 3.1 KB -
MD5: c7fb9bc919f09b6b91efcaba6066da36
Rainfall simulation |
Tabular Data - 962 B - 25 Variables, 9 Observations - UNF:6:E80msTfwuLe9XWWPSpCU/w==
Soil surface features |
Comma Separated Values - 5.8 KB -
MD5: a89a9c6dd3e9c72bce3b4adef0db21ff
Data dictionary |
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... |
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==
Data dictionary |
Jan 16, 2025 -
Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
Plain Text - 3.4 KB -
MD5: 6d07adff7673d9c7bb59d1cff490d072
Dataset citation, description and terms of use |
