Incorporating genome-wide association into eco-physiological simulation to identify markers for improving rice yields
We explored the use of the eco-physiological crop model GECROS to identify markers for improved rice yield under well-watered (control) and water-deficit conditions. Eight model parameters were measured from the control in one season for 267 indica genotypes. The model accounted for 58% of yield var...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Oxford University Press
2019
|
| Online Access: | https://hdl.handle.net/10568/164710 |
Similar Items: Incorporating genome-wide association into eco-physiological simulation to identify markers for improving rice yields
- Genome-wide association reveals novel genomic loci controlling rice grain yield and its component traits under water-deficit stress during the reproductive stage
- Quantifying source-sink relationships of rice under high night-time temperature combined with two nitrogen levels
- Pollen germination and in vivo fertilization in response to high temperature during flowering in hybrid and inbred rice
- Grain yield and quality responses of tropical hybrid rice to high night-time temperature
- Genetic control of plasticity in root morphology and anatomy of rice in response to water deficit
- Genetic dissection of photochemical efficiency under water-deficit stress in rice