Final report: Return on Investment for National Vegetable Research and Development Levy
20 May 2009Integrated Viral Disease Management in Vegetable Crops
24 August 2012
Project Code
Short Summary
Generating predictive model of ontogeny for broccoli
Year Published
2000
Project Provider
University of Queensland
Attachment
This study involved the generation of a predictive model of ontogeny, incorporating climatic data including frost risk that would enable broccoli farmers to predict harvest maturity date and select appropriate cultivars to sowing date combinations.
Project report
Environment
Varieties and breeding
Industry data and insights
On-farm and crop management
Productivity
Broccoli
Brassicas