| dc.contributor.author | Machida, Lewis | en_US |
| dc.contributor.author | Huerta Rodriguez, Francisco | en_US |
| dc.contributor.author | Makumbi, Dan | en_US |
| dc.contributor.author | Tarusenga, Murisi | en_US |
| dc.date.accessioned | 2023-01-11T14:33:52Z | en_US |
| dc.date.available | 2023-01-11T14:33:52Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/126865 | en_US |
| dc.title | REMATTOOL-R | en_US |
| cg.authorship.types | Consultant | en_US |
| cg.authorship.types | CGIAR multi-centre | en_US |
| dcterms.abstract | REMATTOOL-R is a tool that helps breeders to visualize and assess the relationship between yield and several agronomic traits. Users can download the application, an abstract of the paper describing the application, and a sample dataset. The sample dataset includes maize field trial result means of an experiment from the Water Efficient Maize for Africa (WEMA) Project funded by the Bill and Melinda Gates Foundation (BMGF, Grant # OPP1019943) and the Howard Buffet Foundation. The tabulated means are from data obtained from five locations across Kenya. | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.bibliographicCitation | Machida, L.; Huerta Rodriguez, F.; Makumbi, D.; Tarusenga, M. (2022) REMATTOOL-R. [Software] | en_US |
| dcterms.issued | 2022-10-21 | en_US |
| dcterms.license | CC-BY-4.0 | en_US |
| dcterms.subject | maize | en_US |
| dcterms.subject | data analysis | en_US |
| dcterms.subject | experimentation-trials | en_US |
| dcterms.subject | variety trials | en_US |
| dcterms.subject | cultivar selection | en_US |
| dcterms.type | Software | en_US |
| cg.contributor.affiliation | Bioversity International | en_US |
| cg.contributor.affiliation | International Maize and Wheat Improvement Center | en_US |
| cg.contributor.affiliation | Centro de Investigación en Matemáticas | en_US |
| cg.subject.impactArea | Nutrition, health and food security | en_US |
| cg.subject.impactArea | Poverty reduction, livelihoods and jobs | en_US |
| cg.subject.sdg | SDG 1 - No poverty | en_US |
| cg.subject.sdg | SDG 2 - Zero hunger | en_US |
| cg.subject.sdg | SDG 3 - Good health and well-being | en_US |
| cg.creator.identifier | Lewis Machida: 0000-0002-0012-3997 | en_US |
| cg.creator.identifier | Dan Makumbi: 0000-0002-1801-5986 | en_US |
| cg.contributor.donor | Bill & Melinda Gates Foundation | en_US |
| cg.contributor.donor | CGIAR Trust Fund | en_US |
| cg.subject.actionArea | Genetic Innovation | en_US |
| cg.contributor.initiative | Accelerated Breeding | en_US |