Linkage Projects - Grant ID: LP170100317

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP170100317

Funding Status
Active

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

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.

Funded Activity Details

Start Date: 13-09-2018

End Date: 06-03-2023

Funding Scheme: Linkage Projects

Funding Amount: $345,465.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Optimisation | Crop and Pasture Improvement (Selection and Breeding) | Quantitative Genetics (incl. Disease and Trait Mapping Genetics) | Crop and Pasture Production

ANZSRC Socio-Economic Objective (SEO)

Wheat |

Other Keywords

Crop and Pasture Improvement (Selection and Breeding) | Crop and Pasture Production | Optimisation | Quantitative Genetics (incl. Disease and Trait Mapping Genetics) | Wheat

Related Links