Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP150100055
Funding Status
Closed
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Funded Activity Summary
Co-variant analysis and statistical modelling for improved crop yield. This project plans to develop mathematical tools that will help to identify cereal plant varieties with the highest yield. This is a critical responsibility of plant breeders and many Australian breeders acquire and store important information related to the issue. However, there are as yet no mathematical tools that are able to co-analyse the heterogeneous and high-dimensional data in order to understand how external and internal factors correlate with the major growth and development stages at the crop level. This project seeks to develop and implement mathematical and statistical tools to analyse genetic, agronomic and phenomic factors that affect plant performance, to deliver advanced yield prediction.Funded Activity Details
Start Date: 03-2016
End Date: 12-2019
Funding Scheme: Linkage Projects
Funding Amount: $395,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Agriculture, Land and Farm Management | Crop and Pasture Improvement (Selection and Breeding) | Sustainable Agricultural Development | Agricultural Systems Analysis and Modelling
ANZSRC Socio-Economic Objective (SEO)
Plant Production and Plant Primary Products not elsewhere classified | Expanding Knowledge in the Agricultural and Veterinary Sciences | Wheat |
