Optimising prediction of hybrid performance in sorghum

This project focuses on optimizing the prediction of hybrid performance across diverse environmental conditions to accelerate the development of resilient sorghum hybrids. While sorghum thrives in arid regions, its sensitivity to low temperatures limits its cultivation in colder climates. This research aims to identify genomic regions associated with cold tolerance and investigate their genetic interactions—additive, dominance, and epistasis—and their environmental influences (G×E).
By integrating these findings, genomic selection models will be developed to predict hybrid performance more effectively under varying conditions. Breeding simulations will play a crucial role in evaluating hybrid performance, exploring potential genetic gains, and refining crossing strategies across diverse scenarios.
The project will deliver streamlined, modern breeding schemes and methods to accelerate selection, and improve sorghum's adaptability to colder regions.