Detecting the most stable and best-performing genotypes by analysing on-farm experiments with ranking data across different environments and management practices
This poster illustrates how tricot data can be leveraged to assess genotype × environment × management (GxExM) interactions, with the aim of identifying more context-responsive crop varieties. It emphasizes the use of simple ranking data and large datasets to uncover complex adaptation patterns. The...
| Autor principal: | |
|---|---|
| Formato: | Póster |
| Lenguaje: | Inglés |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/179744 |
| Sumario: | This poster illustrates how tricot data can be leveraged to assess genotype × environment × management (GxExM) interactions, with the aim of identifying more context-responsive crop varieties. It emphasizes the use of simple ranking data and large datasets to uncover complex adaptation patterns. The study is part of 1000FARMS’ broader effort to make farmer-managed trials a valuable source of scientific insight. |
|---|