Detecting the most stable and best-performing genotypes by analysing on-farm experiments with ranking data across different environments and management practices
| cg.authorship.types | CGIAR single centre | |
| cg.contributor.affiliation | Bioversity International and International Center for Tropical Agriculture | |
| cg.coverage.region | Eastern Africa | |
| cg.subject.actionArea | Systems Transformation | |
| cg.subject.alliancebiovciat | AGRICULTURE | |
| cg.subject.alliancebiovciat | FARMING SYSTEMS | |
| cg.subject.alliancebiovciat | GENETIC RESOURCES | |
| cg.subject.alliancebiovciat | PARTICIPATORY RESEARCH | |
| cg.subject.alliancebiovciat | PLANT BREEDING | |
| cg.subject.sdg | SDG 2 - Zero hunger | |
| dc.contributor.author | 1000FARMS | |
| dc.date.accessioned | 2026-01-13T11:28:02Z | |
| dc.date.available | 2026-01-13T11:28:02Z | |
| dc.identifier.uri | https://hdl.handle.net/10568/179744 | |
| dc.title | Detecting the most stable and best-performing genotypes by analysing on-farm experiments with ranking data across different environments and management practices | en |
| dcterms.abstract | 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. | en |
| dcterms.accessRights | Open Access | |
| dcterms.bibliographicCitation | 1000FARMS Platform; (2025) Detecting the most stable and best-performing genotypes by analysing on-farm experiments with ranking data across different environments and management practices. 1 p. | |
| dcterms.extent | 1 | |
| dcterms.issued | 2025-09 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.subject | farming systems | en |
| dcterms.subject | participatory research | en |
| dcterms.subject | on-farm research | en |
| dcterms.subject | data collection | en |
| dcterms.subject | data analysis | en |
| dcterms.subject | citizen science | en |
| dcterms.subject | genetic gain-genetic advance | en |
| dcterms.type | Poster |