A few weeks ago, we sent out an article with the predicted hatch dates for redlegged earth mites calculated using our egg hatch models. Now, we have developed an early-release online tool to allow you to calculate your own hatch dates based on climate data in your local area.
Why timing is important
Redlegged earth mite early-season management relies strongly on the timing of hatching of over-summer diapause eggs. Eggs in south-eastern Australia will typically hatch after 5 mm of rain over 5 days, followed by 10 days of mean temperatures below 19 degrees Celsius.
The hatch timing tool uses local weather data (maximum/minimum temperatures and rainfall) to calculate when these conditions will be met and then estimate when redlegged earth mites will hatch in different regions each season.
How to use the tool
The only information you need to use the tool is your location of interest. The tool will then provide the date mite eggs are predicted to hatch for the current year and the hatching probability based on predicted hatch dates across the past 25 years of available data.
We need your reports!
To improve the usefulness and accuracy of our hatch timing tool, we need further validation of the estimates provided by the model. Reports from growers and advisors are an extremely valuable part of this validation.
If you have checked for mites this season, please consider providing your report via this form. It only takes a minute!
The hatch timing tool can be expanded further. Future additions that could be made include:
- A user input for irrigation to modify local moisture conditions.
- Hatch status maps for Australia that show whether RLEM in a region are predicted to be hatched, recently hatched, or unhatched status for the current date.
- Comparison of current year’s climate against historical so users can intuitively contrast the current year with past years
If you have any feedback about future features, we would love to hear from you. Please let us know, by sending an email to: email@example.com
Redlegged earth mite tools webinar
Many thanks to Dr James Maino for the development of the tool, Dr Garry McDonald, Dr Paul Umina and Professor Ary Hoffmann for the development of the model, Dr Paul Umina and Dr Jess Lye for help developing the article and Leo McGrane for the webinar video.
This web tool was developed by Dr James Maino through a GRDC investment (CES2010-001RXT) with contributions from CSIRO, Cesar Australia, the University of Melbourne, and the Department of Primary Industries and Regional Development.