Investment Details

PILOT

Welcome to the GRDC Investments pilot. It contains a selection of our RD&E investment portfolio. Let us know what you think!

GRDC Code: CUR2002-001RTX
Using Machine Learning To Develop New Methods For Genetic Gain In Crops Challenged By Fungal Diseases

This project will apply a machine learning approach to genetic and high throughput phenotyping data to draw out genetic markers associated with resistance to fungal infections in wheat, canola, lentil, and chickpea crops.

Project start date:
17/02/2020
Project end date:
16/02/2022
Crop type:
All Crops, Wheat, Canola/Rapeseed, Chickpeas, Lentils
Region:
National
Organisation:
Curtin University