22 January, 2021
The webinar presented an update on Project Number 2017/002: Implementing and validating genomic selection in SRA breeding programs to accelerate improvements in yield, commercial cane sugar and other key traits.
This project aims to implement genomic selection in SRA’s breeding program, to double the rate of genetic gain for TCH and CCS, by reducing the breeding cycle time, in order to produce more profitable varieties for growers.
PhD student Seema Yadav (UQ) has been working closely with Chief Investigator Ben Hayes (UQ) and Senior Research Fellow Kai Voss-Fels (UQ) presented the latest results on incorporating non-additive genetic effects in genomic prediction. Seema has been developing genomic prediction models that better capture non-additive genetic effects to improve prediction of clonal performance. The results are highly relevant to SRA’s goal of implementing genomic selection within Australia’s sugarcane breeding program.
SRA acknowledges the funding contribution from the Queensland Government Department of Agriculture and Fisheries towards this research activity.