DIAGNOSTIC TESTS FOR FUTURE DISEASE CONTROL Onions and Brassicas - - PowerPoint PPT Presentation

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DIAGNOSTIC TESTS FOR FUTURE DISEASE CONTROL Onions and Brassicas - - PowerPoint PPT Presentation

DIAGNOSTIC TESTS FOR FUTURE DISEASE CONTROL Onions and Brassicas Alison Wakeham, Roy Kennedy VCS Agronomy Allium & Brassica Centre Gs Kettle Produce Ltd Onion downy mildew prediction Review progress Do we need a system?


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DIAGNOSTIC TESTS FOR FUTURE DISEASE CONTROL

Alison Wakeham, Roy Kennedy VCS Agronomy Allium & Brassica Centre G’s Kettle Produce Ltd

Onions and Brassicas

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Onion downy mildew prediction

  • Review progress
  • Do we need a system?
  • Current work
  • Future development
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Review

  • Forecasting models
  • Spore detection
  • Trials

Low disease risk Moderate to High High risk of disease

0 spores 1000000 spores

10/05 17/05 24/05 31/05 07/06 14/06 2 4 6 Sporulation PERSHORE: Onion DM (15 Jun 2015) 10/05 17/05 24/05 31/05 07/06 14/06 0.5 1 Infection 10/05 17/05 24/05 31/05 07/06 14/06 0.5 1 Date (Day/Month) Latent Period

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Integrated use with MILIONCAST to forecast risk in commercial salad and onion crops (AHDB study)

Results Site 2. Bulb Onions (Red Tide) drilled 20/03/2014

The total number of bulb onion plants exhibiting downy mildew symptoms across the two middle rows

  • f each 10m treatment block
  • seven

day spray interval

  • forecast

(AHDB study)

  • No

control measures applied

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Need for forecasting

  • Ok at present? – spray 7-10 days x 8
  • Logistics – large area, spray days/timing
  • Protection rather than cure
  • Environmental benefit
  • Approval changes:

– Revocation of actives – Reduced applications – New actives

  • Overall fewer applications

– Targeting with DSS

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2017 development work

FV456 – ‘Delivery of a Diagnostic test scheme for Brassicas and Onions’

  • 2 year project
  • Pershore College and Mologic
  • Grower participation
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Stoneleigh site: Trap located 500m to north Drilled 23rd May

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0.2 0.4 0.6 0.8 1 1.2

SPRAYS

Spore trap results

  • Sandfields

1st symptoms P Farm

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First mildew outbreaks

11/8 15/8 22/8 4/9 29/9 25/9 18/9

49 day spread

20km

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Conclusions 2017

  • Detection of low spore numbers is possible
  • Need to lower threshold (salad onion?)
  • Siting of traps – proximity of crop, prevailing

wind, risk, number etc.

  • Frequency of sampling
  • Early start required
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2018 plan

  • Kits available for on-farm testing
  • Use in conjunction with forecast

model (e.g. Milioncast)

  • Early season start
  • Trial spraying according to risk
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Future vision

  • Networked – regional/local
  • Internet based alerts
  • Integrated with forecast models (e.g. Milioncast)
  • Fully automatic in-field kit

– Already in development for cereals, potatoes, beet – Innovate UK projects – Rothamsted & FERA

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  • Sampler includes DNA

release, isothermal amplification & wireless reporting.

  • Result integrated with

infection models & risk prediction sent to user

  • Current work: Arable

crops, sugar beet and potato pathogens

Real-time monitoring of airborne pathogen spores for disease forecasting

jon.west@rothamsted.ac.uk

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Automated spore detection

  • 360 degree cyclonic air sampler (c.f. wind directional)
  • Increased air intake operating at 100L/min
  • Battery operated
  • Not 24/7
  • Programmable for optimal conditions or time of day
  • Automated sample preparation and testing using
  • LAMP methodology
  • Loop mediated isothermal AMPlification
  • Low temperature DNA amplification
  • Simple DNA preparation
  • Result in 20 minutes
  • Multiple targets (yellow rust, brown rust and septoria)
  • Results of tests plus weather data communicated to hub

Prototype version Commercial version

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