1. 25.06.2019
1
Geert Haesaert
Faculty of Bioscience Engineering
Ghent University
Geert.Haesaert@ugent.be
Wat are important pillars when studying a
plant pathogen and for developing an
adequate control system?
• Pathogen biology
• Pathogen detection and
monitoring
• Antifungals/remediation
strategies
• Interaction with crop genotype
and crop husbandry
• …
(adapted from Bebber and Gurr (2015) Fungal Genetics and Biology):
2. 25.06.2019
2
• Started at the beginning of 2000
• Following up for FHD and DON at least
20 fields each year
o Weather conditions, crop history,
varieties, crop management, …
o Fusarium species in FHB population
(qPCR)
• Fungicide trials/other FHB control
techniques
• Varietal susceptibility/tolerance
• ….
Fusarium research in relation to FHB at our
department Plants and crops (1)
Fusarium research in relation to FHB at our
department plants and crops (2)
• Database of more than 7000 data points
o Relation between crop management/ weather
conditions/varieties and presence of FHB
o Database is the basis for our prediction model
7
7
11
23
7
6
23
21
17
13
15
12
40
18
24
16
16
13
16
40
18
15
21
14
15
16
21
18
33
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48
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36
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68
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12
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40
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72
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15
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54
68
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14
64
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67
Assent
Bottelare
Helkijn
Huldenberg
Koksijde
Nieuwenhove
Poperinge
Tongeren
Verrebroek
Zuienkerke
Zwevegem
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
l
20
40
60
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0 20 40 60 80
0.00.51.01.52.02.5
2003
2004
2006
2007
2008
2009
2010
2011
overall
DI (%)
DONcontent(mg/kg)
Fusarium species: cereal killers with much
yearly variability in epidemiology
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
01234
DONcontent(mg/kg)
2003
2004
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
020406080
Diseaseindex(%)
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
%
020406080100
M. nivale
F. poae
F. graminearum
F. culmorum
F. avenaceum
Fusarium species: cereal
killers with much yearly
variability in species ratio
within FHB population
4. 25.06.2019
4
How to control FHB?
Prevention
Cultural, breeding for
resistance, …
Biological,
mechanical,
physiological
ChemicalChemical
Intervention/suppression
Prevention
Monitoring - prediction
Avoiding
Integrated disease management
KNOWLEDGE
5. 25.06.2019
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Crop Rotation: influence on DON accumulation
-58%
-42%
-88%
Crop rotation + soil management
Experiment design
First crop maize:
o harvest as grain
and as silage
o two different
varieties (S /T)
Second crop: winter
wheat
o Plowing or
inverse soil
management
o 5 different wheat
varieties
DON in
winter
wheat
Kruskall wallis test
Plowing/no plowing grain /silage two maize varieties wheat varieties
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Bio-fumigation: best know system is with Brassicaceae
o Glucosinolates are converted to isothiocyanate after cells are
mechanically damaged
o ITC = volatile
o Myrosinase activity is t° and pH depended!
Cultural: bio-
fumigationCrop Rotation: cover crops and bio-fumigations
10%
14%
-7% -3%
7%
3% 2%
6%
-1%
18% *
12%
16% *
-6% 0%
53% *
98% * 95% *
-1%
25% *
-10%
10%
30%
50%
70%
90%
GMC
GML
GMME
GMMI
GMPA
GMPO
GMSA
GMSE
GMSI
BRB
BRC
BRDA
BRDE
BRT
SM
SME
SMT
GRAS
EM
Reductiet.o.v.decontrolebehandeling
Synapsis alba
Raphanus sativus
Brassica juncea
Brassica carinata
F. graminearum
C R. sativus S. alba B. carinata B. Juncea
Reduction of mycelium growth
o Inverted petri dish method: volatiles
Crop Rotation: cover crops and bio-fumigations
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Biofumigation: dose effect
a a a
b
ab
b
c
bc
bab
cd
b
d
d
c
0
500
1000
1500
2000
2500
5 gram 10 gram 15 gram
Oppervlakte(mm²)
CONTROLE GMC BRB GRAS SM
Cultural: bio-
fumigation
Reduction of mycelium growth
Crop Rotation: cover crops and bio-fumigations
Abbr. Crop Var.
AITC1-5 / /
LM L. multiflorum Meritra
SA… S. alba /
RS… R. sativus /
BC B. carinata Cappucino
BJT B. juncea Terrafit
BJV B. juncea Vitamine
BJE B. juncea Etamine
Crop Rotation: cover crops and bio-fumigations
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Bio-fumigation demands:
o Harvesting at the right time (maximum concentration of glucosinolates)
o You need biomass!
o A good incorporation of crop biomass
o Pressing of upper layers of soil
Crop Rotation: cover crops and bio-fumigations
• 10 biofumigation crops
included in a cover crop
experiment
oAugust 2018: sowing
• December 2018: first harvest and in
vitro experiment: fungal activity
• March 2019: second harvest and in
vitro experiment
Crop Rotation: cover crops and bio-fumigations
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Crop Rotation: cover crops and bio-fumigations
Abbr. Crop Var.
CTRL / /
SAL S. alba Lopex
SAME S. alba Meringue
SASA S. alba Salsa
RSDE R. sativus Defender
RSDO R. sativus Doublet BCA
RST R. sativus Terranova
BC B. carinata Cappucino
BJT B. juncea Terrafit
BJV B. juncea Vitamine
BJE B. juncea Etamine
Harvest December
Crop Rotation: cover crops and bio-fumigations
B. carinata
B. juncea
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Varieties
• Since 2005 we test more than 30 winter
wheat varieties each year
o Artificial infection (two times) with
mixture of different Fusarium
species
o DON and disease index is
determinated
o List with 4 classes is published every
year
Gevoelig Matig gevoelig Matig tolerant Tolerant
Alsace Azzerti Altigo Akteur
Anthus Belcast Altos Apache
Caphorn Biscay Armada Carenius
Gedser Cellule Atomic Evina
Lexus Challenger Avatar Henrik
Lithium Deben Benchmark KWS Smart
Mosaïc Dekan Bergamo Melkior
Nemocart Edgar Bodecor Omart
Oakley Einstein Britannia RGT Reform
Robigus Evasion Celebration Winnetou
Rosario Expert Centenaire Zohra
Tobak Florett Contender
Toisondor Forum Corvus
Tuscan Graham Elixer
Homeros Faustus
Horatio Folklor
Hyperion Fructidor
Istabraq Hattrick
JB Asano Hourra
JB Diego Impression
Katart Inspiration
KWS Siskin Intro
Linus Julius
Manager Kaspart
Mulan Koreli
Ozon Lear
Pepidor Limes
Premio Lincoln
Razzano Lion
Rollex Louisart
Scor Matrix
Selekt Mentor
Smuggler Ortop
SW Tataros Patrel
Terroir Popeye
Vivant Profilus
Waldorf Pulsar
Radius
RGT Sacramento
Rubisko
Sahara
Spirit
Tabasco
Tulsa
Unicum
Valdo
Vasco
Climatic risk = rainfall
flowering
Previous crop
Low High
99% <
1000µg/kg
89% <
1000µg/kg
Previous crop
HighLow
Ploughing
93% <
1000µg/kg
89% <
1000µg/kg
Yes No
Ploughing
74% <
1000µg/kg
38% <
1000µg/kg
NoYes
wet ear period
must be at least
72 h
RAS: 54%<
1000µg/kg
RAS: 92 % <
1000µg/kg
RAS: 93 % <
1000µg/kg
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Varieties
No evolution in susceptibility/tolerance of genotypes on
Belgian market
Interaction with ohter
organisms: grass weeds
Grass species are
alternative host plants
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Interaction with ohter
organisms: aphids
mg kg-1 Fg Fg+aphids P-value
DON 32.77 ± 12.73 a 65.83 ± 20.15 b 0.031
3-ADON 0.53 ± 0.20 a 2.05 ± 0.83 b 0.023
15-ADON 2.39 ± 0.96 a 9.60 ± 3.88 b 0.019
Fungicides
Fungicides are not the holy grail …..
Fungicides: reduction of DON
• Fungicide experiments from
2002-2018
• At least 4 experiments per
year
Arvalis, France
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Fungicides
Fungicides are not the holy grail …..
isolaat 10
0
20
40
60
80
100
cont role 1mg/l 5 mg/l 10 mg/ l 50 mg/ l 500mg/l
prothioconazool
4 h
24 h
48 h
F. poae
F. graminearum
Fungicides
Fungicides are not the holy grail …..
FHB population vs fungicide use
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InterventionFungicides
Only 3 active ingredients are effective againgst Fusarium
species
- Tebuconazole
- Metconazole
- Prothioconazole
Holistic:
o based on data-mining; data including weather, field characteristics
and crop history, variety, dynamics of pathogen population, etc.
o Orthogonal regression model
o Cross-validation
DON prediction is available for Flemish farmers
Prediction model
15. 25.06.2019
15
COMPARISON OF PREDICTIONS AT THE END OF THE
GROWING SEASON
AND MEASURED DON VALUES (2017)
<0.2mg/kg
0.2-0.5mg/kg
0.5-0.75mg/kg
>0.75mg/kg
Koksijde
Percentage
04080
Predicted
Measured
<0.2mg/kg
0.2-0.5mg/kg
0.5-0.75mg/kg
>0.75mg/kg
Poperinge
Percentage
04080
Predicted
Measured
<0.2mg/kg
0.2-0.5mg/kg
0.5-0.75mg/kg
>0.75mg/kg
Kortrijk
Percentage
04080
Predicted
Measured
<0.2mg/kg
0.2-0.5mg/kg
0.5-0.75mg/kg
>0.75mg/kg
Bottelare
Percentage
04080
Predicted
Measured
<0.2mg/kg
0.2-0.5mg/kg
0.5-0.75mg/kg
>0.75mg/kg
Verrebroek
Percentage
04080
Predicted
Measured
<0.2mg/kg
0.2-0.5mg/kg
0.5-0.75mg/kg
>0.75mg/kg
Nieuwenhove
Percentage
04080
Predicted
Measured
Prevention
Screening for endophytes
Alternatives for fungicides
16. 25.06.2019
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Isolation and characterization of Piriformospora
1. Sampling in Kisangani, DRCongo
3. Isolation4. Morphological and molecular characterization of 51 isolates
obtained from 6 different locations in the Kisangani region
2. Trapping Piriformospora by the use of a soil-based system
with Sorghum
1 12 24 30 34 36 46 PI PW
Venneman Jolien – 17/11/2017
Molecular
analysis:
biodiversity
Prevention
In vitro testing endophytes
F. Graminearum + Piriformospora /// F. Graminearum
17. 25.06.2019
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FUS + mycelium isolate 30
FUS control (without
autoclaved mycelium)
Bio-control effects – greenhouse trials
Inoculation with Fusarium-infected rice kernels
Plant fresh weight of Fusarium-inoculated maize plantsRoot fresh weight of Fusarium-inoculated maize plantsPlant survival
Prevention
Fusarium
cbs266
cbs243
cbs1005
cbs102-94
cbs1004
IP80
PW
Piri34-36
Piri23-K1
Piri15-6
PI
Piri5-A
Piri23-18
EpiNigrum1
EpiNigrum2
EpiNigrum3
Bionectria
Bio2
C.rosaBE
Sordaria1
SordariaMUCL
0100030005000
DON
abcd
ghi
hi fghi
defg
efghi
efgh
cde
ab
abc
cdef
abcde
a
bcde
abcde
efghi
abcd
defgh
cde
ghi
i
efghi
CBS266
CBS243
CBS1005
CBS102_94
CBS1004
IP80
PI
PW
piri34_36
Piri23_K1
Piri15_6
Piri17_A
Piri5_A
Piri23_18
EpiNigrum1
EpiNigrum2
EpiNigrum3
Bionectria
Bio2
C.rosaBE
Sordaria1
SordariaMUCL
050100150200
Relativegrowth
e e e e e
abc
a
ab ab
ab
ab
abc abc
ab
abcd
abc
bcd
abc
abcd
bcd
de
cde
Screening for endophytes Flanders starting from
maize residue’s
Sordaria sp.
Epicoccum sp.
Clonostachus sp. Clonostachus sp.
Epicoccum sp.
Sordaria sp.