Optimizing soybean variety selection for the Pan-African Trial network using factor analytic models and envirotyping
Soybean is a global food and industrial crop, however, climate change significantly affects its grain yield. Therefore, the selection of varieties with high adaptation to target population of environments is imperative in Sub-Saharan Africa. This study aimed to identify soybean varieties with high o...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Frontiers Media
2025
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/175838 |
Similar Items: Optimizing soybean variety selection for the Pan-African Trial network using factor analytic models and envirotyping
- Soybean selection in Kenya enhanced by multi-trait and genotype-by-environment interaction modeling
- Soybean rust-resistant and tolerant varieties identified through the Pan-African Trial Network
- Mathematical programming for economic analysis in agriculture
- Least-cost seed potato production in Ethiopia
- Multilevel diagnostics for mixed and hierarchical linear models
- Milk yield of East African, Galla, their first crosses (F1) with Toggenburg and Anglonubian and the 4-way dual purpose goats (DPG) under station management