Validating high throughput phenomics technologies for sugarcane clonal selection.
This project builds on recent SRA-funded research which has introduced a drone-based high-throughput phenotyping platform for SRA. The current project aims to further optimise this technology and provide an indirect trait-based optimal selection index for repeatable assessment of sugarcane clonal performance in early stage selections. Improved efficiency in early stage selections will help contribute towards the goal of achieving the 2% annual genetic gain target set in the SRA Strategic Plan.
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