Linkage Projects - Grant ID: LP170100317 [ 2018-09-13 - 2023-03-06 ]

Research Grant

Researchers: Professor Ben Hayes (Chief Investigator) ,  Professor Ben Hayes (Chief Investigator) ,  Professor Lee Hickey (Chief Investigator) ,  Professor Lee Hickey (Chief Investigator) ,  Dr Jesse Poland (Partner Investigator)
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Brief description FastStack - evolutionary computing to stack desirable alleles in wheat. This project aims to investigate rapid development of new, high-yielding wheat varieties with appropriate disease resistance. An emerging challenge in wheat breeding is how to stack desirable alleles for disease resistance, drought, and end-use quality into new varieties with high yielding backgrounds in the shortest time. As the number of known desirable alleles for these traits increases, the number of possible crossing combinations that need to be considered increases. This project aims to use evolutionary computing with speed breeding and genomic selection, in the partners breeding program, to address this challenge. Potential outcomes will lead to more profitable wheat varieties for Australian growers, and expanded exports to high value markets that require quality grain.

Funding Amount $345,465

Funding Scheme Linkage Projects

View this grant in the ARC Data Portal