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Grant Award View - GA1820-V1
FastStack - evolutionary computing to stack desirable alleles in wheat
GA ID:
GA1820-V1
Agency:
Australian Research Council
Approval Date:
3-Oct-2017
Variation Publish Date:
19-Jul-2018
Variation Date:
2-Nov-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
2-Nov-2018 to 1-Nov-2022
Value (AUD):
$345,465.00
(GST inclusive where applicable)
Varies:
GA1820
- FastStack - evolutionary computing to stack desirable alleles in wheat
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Linkage
Grant Program:
Linkage Projects
Grant Activity:
FastStack - evolutionary computing to stack desirable alleles in wheat
Purpose:
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.
GO ID:
GO Title:
Linkage Projects commencing in 2017
Internal Reference ID:
LP17 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684
Grant Recipient Location
Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA