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Grant Award View - GA351514
Accelerating pulse breeding using machine learning
GA ID:
GA351514
Agency:
Australian Research Council
Approval Date:
20-Dec-2023
Publish Date:
2-Jan-2024
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jan-2024 to 31-Dec-2026
Value (AUD):
$676,198.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 23/24 Linkage
Grant Program:
Linkage Projects
Grant Activity:
Accelerating pulse breeding using machine learning
Purpose:
Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This project will develop machine learning (ML) tools for the analysis of pulse legume crop traits and their association with genomic variation to accelerate the breeding of high performance pulse legumes for Australian growers.
GO ID:
GO Title:
Linkage Projects for funding applied for in 2023
Internal Reference ID:
LP23 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Western Australia
Recipient ABN:
37 882 817 280
Grant Recipient Location
Suburb:
NEDLANDS
Town/City:
NEDLANDS
Postcode:
6009
State/Territory:
WA
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
WA
Postcode:
6009
Country:
AUSTRALIA