Optimizing predictions in IRRI’s rice drought breeding program by leveraging 17 years of historical data and pedigree information
Prediction models based on pedigree and/or molecular marker information are now an inextricable part of the crop breeding programs and have led to increased genetic gains in many crops. Optimization of IRRI’s rice drought breeding program is crucial for better implementation of selections based on p...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Frontiers Media
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/126261 |
Similar Items: Optimizing predictions in IRRI’s rice drought breeding program by leveraging 17 years of historical data and pedigree information
- Heterotic grouping of tropical earlymaturing maize inbred lines based on combining ability in Strigainfested and Strigafree environments and the use of SSR markers for genotyping
- Combining ability for grain yield and other agronomic traits of early tropical maize lines under optimal, drought, and suboptimal soil nitrogen conditions
- Combining ability, heterotic patterns and genetic diversity of extraearly yellow inbreds under contrasting environments
- Open-source analytical pipeline for robust data analysis, visualizations and sharing in crop breeding
- Combining Ability for Yield and Associated Characters in Rice
- Combining ability of tropical maize germplasm in West Africa; I: open pollinated varieties