Citation from DataCite
ORCID: 0000-0002-6427-1067
Affiliation: Institute of Crop Science and Resource Conservation, University of Bonn, 53121 Bonn, Germany
Reckling, Moritz
ORCID: 0000-0002-0689-7686
Affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
Researcher: Hella Ahrends, Institute of Crop Science and Resource Conservation, University of Bonn, 53121 Bonn, Germany
Researcher: Tsu-Wei Chen, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt Universität zu Berlin, 14195 Berlin, Germany
Researcher: Werner Eugster, Institute of Agricultural Sciences, ETH Zürich, 8092 Zürich, Switzerland
Researcher: Steffen Hadasch, Biostatistics Unit, Institute of Crop Science, University of Hohenheim, 70599 Stuttgart, Germany
Researcher: Samuel Knapp, Technical University of Munich, 85354 Freising, Germany
Researcher: Friedrich Laidig, Biostatistics Unit, Institute of Crop Science, University of Hohenheim, 70599 Stuttgart, Germany
Researcher: Anja Linstädter, Biodiversity Research / Systematic Botany, University of Potsdam, 14469 Potsdam, Germany
Researcher: Janna Macholdt, Institute of Agronomy and Plant Breeding I, Justus Liebig University of Gießen, Germany
Researcher: Hans-Peter Piepho, Biostatistics Unit, Institute of Crop Science, University of Hohenheim, 70599 Stuttgart, Germany
Researcher: Katja Schiffers, Institute of Crop Science and Resource Conservation, University of Bonn, 53121 Bonn, Germany
Researcher: Thomas F. Döring, Institute of Crop Science and Resource Conservation, University of Bonn, 53121 Bonn, Germany
HostingInstitution: Affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
stability
experimentation
In the face of a changing climate, yield stability is becoming increasingly important for farmers and breeders. There are no commonly accepted guidelines for assessing yield stability and the large diversity of options impedes comparability of results and reduces confidence in conclusions. Here, we compile a unique list of measures available for yield stability analysis that can be used in agronomy and other disciplines. This data set is linked to the review paper “Methods of yield stability analysis in long-term field experiments. A review” that provides guidelines for quantifying yield stability in different settings. Consistent use of the suggested guidelines including the appropriate use of the measures listed in this data set may provide a basis for robust analyses of yield stability, and to subsequently design stable cropping systems that are better adapted to a changing climate.
funderIdentifier (GRID): 5586.e
Table
Sample Data
Table
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This data by ZALF is licensed under the Creative Commons Attribution 4.0
| Column name | Description |
| Nr | The number of the measure |
| Symbol | Symbol used in the original or earliest reference in the context of yield stability |
| Index_name | The long name of the index |
| Static |
When “yes” then the static concept: The most stable factor
e.g. genotype maintains a constant yield across environments
(Becker and Léon, 1988). When “no” then the dynamic concept: A stable factor e.g. genotype implies a yield response having a constant difference to the mean response of all tested genotypes in each environment (Annicchiarico, 2002). |
| Parametric |
When “yes” then parametric: Depends on distributional
assumptions and involves relating the observed genotypic
responses (Huehn 1990). When “no” then the non-parametric: States environments and phenotypes relative to biotic and abiotic factors; stability parameters are based on ranks (Huehn 1990). |
| Depending_on_treatments | When “yes” then depending on other treatments, otherwise not. |
| Reference | The reference to the original or earliest reference in the context of yield stability |