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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.

Project date

7 Jan 2019-30 Sep 2022
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Principal investigator

Sijesh Natarajan

Research organisation

Project led by

Sugar

Sugar Research Australia (SRA)

SRA invests in and manages a portfolio of research, development and adoption projects that drive productivity, profitability and sustainability for …

Sugar
  • Location

    Australia wide

  • Organisation type

    Research funding body, Research service providers

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Focus areas

Industries

Sustainabilities

Technology areas

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  • Start date

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