Epidemiology and control of Sclerotinia Dr John Clarkson Warwick Crop Centre, University of Warwick

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Transcription:

Epidemiology and control of Sclerotinia Dr John Clarkson, University of Warwick www.warwick.ac.uk/go/wcc

Talk Outline Sclerotinia sclerotiorum in the UK Approaches to control: Sclerotia, apothecial production and biofumigation Ascospores, infection and disease forecasting

Lifecycle of Sclerotinia sclerotiorum Further sclerotia form and released into soil Sclerotia survive in soil over winter Ascospores infect carrot > 400 host species including: oilseed rape, lettuce, carrot, potatoes, beans, peas, sunflower, celery etc Apothecia release ascospores Carpogenic germination of sclerotia near soil surface to produce apothecia

Sclerotinia disease in the UK Caused by Sclerotinia sclerotiorum Little S. minor Some S. subarctica in Scotland Significant losses in all susceptible crops Incidence is increasing year on year Shortened rotations Problem in timing fungicides

Oilseed Rape (600,000 ha) Occasional outbreaks with 50-80% loss Average 18% of crops affected each year 10% incidence = loss of 0.2t Warwick / ha Crop Centre

Lettuce (6000 ha) Typical losses are 5-10% each Warwick year but Crop can Centre be up to 50%

Carrot (10,000 ha) Losses up to 50%

Cirsium (thistle) Wild hosts Ranunculus (buttercup) Urtica (nettle) Chenopodium (fat hen)

The bank of sclerotia

Sclerotia produced per plant Number of sclerotia produced per plant 160 140 120 100 80 60 40 20 0 L44 L17 L6 Lettuce Bean Carrot Potato OSR

Weight of individual sclerotium (g) Weight per sclerotium 0.12 0.1 0.08 L44 L17 L6 0.06 0.04 0.02 0 Lettuce Bean Carrot Potato OSR

Number of sclerotia produced per square metre Number of sclerotia produced per square metre 3500 3000 3035 2500 2000 1500 1435 1000 500 673 427 188 0 Lettuce Bean Carrot Potato OSR Crop density (plants m -2 ): Lettuce = 8, Bean = 40, Carrot = 150, Potato = 3, OSR = 28

Effect of sclerotial size on germination

Approaches for Sclerotinia control Reduce soil inoculum (sclerotia) Perlka calcium cyanamide Biocontrol Contans Biofumigation Kill ascospores improve fungicide timing by forecasting Plant resistance Tolerant varieties only? Breeding efforts focussed on brassica Warwick project on lettuce resistance

Biofumigation Biofumigants e.g. mustards Growth and / or incorporation stimulates beneficial microorganisms Glucosinolates converted to fungitoxic isothiocyanates (ITCs)

ITCs inhibit mycelial growth of S. sclerotiorum

Volatiles directly affect germination of sclerotia

Effect of biofumigants on germination of S. sclerotiorum sclerotia (microcosms)

S. sclerotiorum polytunnel experiment

Forecasting Sclerotinia How can we assess disease risk? 1) Direct detection of airborne ascospores PCR test has now been developed (Rothamsted) 2) Monitoring / predicting production of apothecia model developed which predicts germination of sclerotia using weather data. 3) Predicting infection Infection / disease development dependent on RH / temperature. 4) Crop growth stage models Senescent material important in Sclerotinia disease development

Spore trap monitoring by PCR in oilseed rape (Rothamsted)

Monitoring sclerotial germination But when to bury sclerotia?

Two processes control germination of sclerotia Production of apothecia by germinating sclerotia involves two processes: 1) Conditioning Chilling required for rapid production of apothecia (optimum <7C) Requires soil moisture ( > - 100 kpa) Varying response between isolates 2) Germination Temperature dependent (optimum 15-18C) Requires soil moisture ( > - 100 kpa) We produced a prediction model based on soil temperature and moisture. Defra funded project in collaboration with Caroline Young, ADAS. Model published: Clarkson et al., Phytopathology 2007.

Germination of sclerotia in the field driven by temperature / moisture % germination 100 90 80 70 60 50 40 30 20 10 0 winter 23/12 burial 1 04/3 burial 3 31/3 burial 5 28/4 burial 6 12/5 burial 7 27/5 burial 8 10/6 Mar Apr May Jun Jul Aug Sep Oct Nov 40 30 soil moisture Temp 20 10 soil temp 0 Mar Apr May Jun Jul Aug Sep Oct Nov

Model Prediction and observed germination 50 45 40 Soil temperature Rainfall Predicted germination progress Observed germination Predicted germination 25 th April Observed germination 2 nd May 1.20 1.00 Temperature ( C) / Rainfall (mm) 35 30 25 20 15 10 5 0.80 0.60 0.40 0.20 Model Progress 0 0.00 16/10 30/10 13/11 27/11 11/12 25/12 08/01 22/01 05/02 19/02 04/03 18/03 01/04 15/04 29/04 13/05 27/05 10/06 24/06 Date

Spray timing and Sclerotinia infection in lettuce 14 % plants with Sclerotinia 12 10 8 6 4 2 0 Site G's 1 Site Merrymacs 2 untreated 1 spray 2 spray 3 spray model (1 spray)

The Future: regional prediction of sclerotial germination BASF PhD Further development: Improve prediction of soil moisture from rainfall for the model Understand what happens to sclerotia buried at different depths Determine any effect of isolate variation Envisage network of weather stations combined with direct depot observations

Predicting infection by ascospores

Predicting infection: humidity and disease development % plants infected with Sclerotinia 100 90 80 70 60 50 40 30 20 10 0 Disease development on lettuce at 20C 100% RH 90% RH 80%RH 70%RH 60%RH 50%RH 0 5 10 15 20 25 30 35 40 45 50 55 60 65 days Sclerotinia infects lettuce in the absence of free water as microsites around stem base are still conducive to infection. BUT ambient RH modifies no. of effective microsites and rate of disease development Reducing RH in crop canopies will reduce the number of infections

Clipping carrot foliage Source: Root Crop Consultancy Limited with support from BASF

Predicting infection: temperature and disease development % plants infected with Sclerotinia Disease development at 85%RH 100 25C 90 20C Sklero Pro 15C model developed for oilseed rape 80 10C (Koch et al., 2007) 70 7C 60 23 continuous 50 hours required where 40 RH > 80% 30 Air temperature > 7C 20 10 0 0 10 20 30 40 50 60 70 80 90 100 110 120 days

Combined approach to Sclerotinia prediction in oilseed rape (ADAS) Inputs Crop growth stage (flowering) Sklero Pro infection criteria met Petal testing (by plating or PCR) Presence of airborne inoculum (Sklero Pro)

Population Structure and Diversity

Why study diversity and population structure? No previous studies in the UK or on wild hosts. Is diversity related to biological variation in isolate aggressiveness ability of sclerotia to germinate and produce apothecia Are certain Sclerotinia genotypes adapted to particular hosts? Is there genotype exchange between wild and agricultural hosts?

lettuce oilseed rape buttercup carrot celery pea

S. sclerotiorum microsatellite genotypes Sclerotinia is diverse: 386 genotypes from 687 isolates (multiple isolates just in one field) Genotypes are shared between crop plants and / or wild hosts: prevalent: 56 genotypes shared between one or more population, 29 genotypes shared between crop plants and buttercup. One genotype is common and widespread: prevalent genotype comprises 10% of isolates and is found year after year at different locations

Back to biology: pathogenicity variation for 18 S. sclerotiorum isolates from crop plants and buttercup

Acknowledgements Helen Carter Xinyang Hong Angela Foster Emma Coventry Rachel Warmington Andrew Taylor Project funding: Defra, HDC UK Collaboration: Caroline Young (ADAS), Jon West (Rothamsted) Norway Collaboration: Berit Nordskog and Andrea Ficke

Thank you for listening

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