Résumé
These data correspond to the phenotypic and genomic datafiles used for the paper entitled "Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population"
- Titre
- de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
- Créateurs - sans rôle
- Hugues De Verdal - (CIRAD, UMR AGAP Institut, France)Cédric Baertschi - Genetic Improvement and Adaptation of Mediterranean and Tropical PlantsJulien Frouin - Genetic Improvement and Adaptation of Mediterranean and Tropical PlantsConstanza Quintero - (Alliance Bioversity-CIAT, Colombia)Yolima Ospina - (Alliance Bioversity-CIAT, Colombia)Maria Fernanda Alvarez - (Alliance Bioversity-CIAT, Colombia)Tuong-Vi Cao - (CIRAD, UMR AGAP Institut, France)Jérôme Bartholomé - Genetic Improvement and Adaptation of Mediterranean and Tropical PlantsCécile Grenier - Genetic Improvement and Adaptation of Mediterranean and Tropical Plants
- Éditeur
- CIRAD Dataverse
- Identifiants
- 99135114109311
- Unité académique
- Institut Amélioration Génétique & Adaptation des Plantes méditerranéennes & tropicales-AGAP
- Langue
- English
- Type de ressource
- Dataset