Completing the Picture: Integrating Plant Disease Into Ag Systems Modelling

I present four scenarios that cover various spatial and temporal scales where plant disease models can be used to help inform growers or researchers. This was presented for the official opening of the USQ Agriculture Systems and Engineering Precinct in Toowoomba as a part of a symposium on the future of agriculture.

Transcript

1. CRICOS QLD 00244B | NSW 02225M TEQSA: PRV12081
   Completing the Picture
   Integrating Plant Disease Into Ag Systems
   Modelling
   Adam Sparks
   USQ Centre for Crop Health
   

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2. PeDiMIP:
   Pests and Diseases Model
   Intercomparison Project
   Holzworth et al. “APSIM - Evolution towards a New Generation of Agricultural
   Systems Simulation.” Environmental Modelling & Software 62
   (December 2014): 327–350. https://doi.org/10.1016/j.envsoft.2014.07.009.
   

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3. Problems
   Four
   that modelling can help solve across different scales
   

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4. 1. Pre-season decisions on where and what
   to plant
   2. In-season decisions to treat disease
   3. Post-season definitions of where, when
   and why there are yield limitations
   regionally
   4. Future estimates of yield limiting factors
   nationally
   

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5. Pre-season
   Crop
   Previous Season
   Low Medium
   Low High
   Medium
   Moderate
   Low Low
   Low
   Next Season Risk
   Dr. Paul Melloy
   

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6. In-season
   

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8. 5 20
   3 0
   18 10
   20 25
   27 24
   25 23
   3.5 3.2
   3.6 3.6
   Satellite-derived,
   georeferenced data
   x
   y
   y
   x
   y
   Georeferenced
   Yield Loss
   Estimates
   x
   y
   Precip
   Temp
   Tons/HA
   In-Paddock
   Survey
   x
   Crop & Disease
   Model
   Post-season
   

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9. Map data ©2019 GBRMPA, Google & SARDI PIRSA
   Low
   Medium
   High
   Below Detection Limit
   Disease Risk
   P. thornei 2018
   Future-looking
   

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10. Crop
    Diseases
    Holzworth et al. “APSIM - Evolution towards a New Generation of Agricultural
    Systems Simulation.” Environmental Modelling & Software 62
    (December 2014): 327–350. https://doi.org/10.1016/j.envsoft.2014.07.009.
    

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11. Find out more:
    CRICOS QLD 00244B | NSW 02225M TEQSA: PRV12081
    7 4631 1948
    https://www.facebook.com/CCHUSQ
    https://twitter.com/CCH_USQ
    adam.sparks@usq.edu.au
    Broad Acre Cropping Initiative
    

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