Australian wheat production is greatly influenced by periods of drought and high temperature. In future climate we expect increases in incidences of low or high temperature and potentially in reduced rainfall. This project was funded by GRDC. We conducted experiments on flowering time and tillering, and assembled datasets from other researchers to build a new gene-based model to predict heading time. The model was validated over a wide range of environments (ca. 4500 observations) and showed substantial spatial variability of frost and heat events across the Australian wheatbelt in current and future climates. In future climates, the target sowing and flowering windows would be shifted earlier by up to two and one months.
Data Scientist / Digital Agronomist
a research scientist of digital agriculture at the CSIRO.
- Genetic diversity toolkit
- National Phenology Initiative
- Identification of Earliness Per Se Flowering Time Locus in Spring Wheat through a Genome-Wide Association Study
- Gene-based prediction of heading time to target real-time and future climate adaptation in wheat
- Predicting heading time of Australian wheat using effects of VRN1 and Ppd-D1
Identification of Earliness Per Se Flowering Time Locus in Spring Wheat through a Genome-Wide Association Study
Velocity of temperature and flowering time in wheat – assisting breeders to keep pace with climate change
While extreme climatic events (frost, heat and drought) can already severely limit wheat production, the expected future increase in …
Substantial genotype x environment interactions impede breeding progress for yield. Identifying genetic controls associated with yield …
Spring wheat production systems in Australia require fine-tuning of heading time in order to maximise the efficient use of resources …