Autor: Etten, Jacob van
- Seeds for Needs: crop diversity for resilience
- Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments"
- chirps: API Client for the CHIRPS Precipitation Data in R
- The tricot approach. Guide for large-scale participatory experiments
- Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment
- Data synthesis of multiple on-farm trials to generate regional variety recommendations: the case of common bean in Central America
Autor: Dell’Acqua, Matteo
- Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments"
- Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment
- Data-driven, participatory characterization of farmer varieties discloses teff breeding potential under current and future climates
- Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products
- Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge
- Group-based and citizen science on-farm variety selection approaches for bean growers in Central America
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