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Epidemiology of Coffee Berry Disease

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(1)

Epidemiology of

Coffee Berry

Disease

Natacha MOTISI (Cirad)

Joseph MOUEN BEDIMO (IRAD)

Atelier PCP Agroforesterie 24-26 octobre 2012

(2)

Arabica coffee & coffee berry disease

Arabica coffee

•

Smallholder farmers

•

Agroforestry systems

Coffee Berry Disease

(CBD)

•

Colletotrichum kahawae

•

80% yield lost

Berries infected by

Colletotrichum kahawae

(3)

Management levers

Agro-ecological management of bioagressor

•

Tolerant varieties

•

Adapted cropping systems

Agroforestry systems

(4)
(5)

Primary infections

(6)

Secondary infections

(7)
(8)

Disease dispersal via splashing

Falls due to

disease

Physiological

falls

(9)

Management levers

Agroforestry systems

•

Low disease dispersal via splashing

(Mouen et al., 2010)

BUT antagonistic effects of shade?

•

Increase in maturation duration of berries 

increase in berries susceptibility

•

Temperature / humidity favorable to disease or other

(10)

Aims

1. Understanding

Dispersal mechanisms of CBD

and mechanisms by which shade limits disease

dispersal

2. Analysing interactions

« genotype x environment x cropping management »

to identify the best combinations « genotypes /

(11)

Methods

Field

(12)

Field experiments

1. In farms

Removal of berry 

clusters

No removal

Effect of distance 

between clusters on 

disease dispersal

Control

Aim 1:

Link between coffee architecture and disease dispersal

in the tree

(13)

Field experiments

1. In farms

But removal of clusters  effect on berries susceptibility

Control without disease

(14)

Field experiments

1. In farms

Aim 1:

Link between coffee architecture and disease dispersal

in the tree

Removal of berry 

clusters

No removal

No plastic Cover

Effect of distance 

between clusters on 

disease dispersal

Control (with disease)

Plastic Cover

Effect of cluster removal 

on berries susceptibility 

to CBD

Control (without 

disease)

(15)

Field experiments

1. In farms

Coffee trees under cola tree

and under full sun

Aim 2:

(16)

Field experiments

1. In farms

Temperature/humidity

Rainfall

Count of berries every weeks

(17)

Aim: Interaction « genotype x shading tree »

Field experiments

2. Experimental station at Santa

Varieties:

Java 1 (JA1)

Kafa 2 (Kf2)

Jamaique (JM)

Shading trees:

Safoutier

Avocatier

Bananier

~ tém ss omb

Témoin plein soleil

Tolerance

Shading

---JA 1 ---JA1 ---JM ---JM ---Kf2 ---Kf2 ---JM ---JM ---Kf2 ---Kf2 ---JA1 ---JA1 ---JA1 ---JA1 ---JM ---JM ---Kf2 ---Kf2 ---JA1 ---JA1 ---Kf2 ---Kf2 ---JM ---JM ---Kf2 ---Kf2 ---JM ---JM ---JA1 ---JA1 ---JA 1 ---JA1 ---Kf2 ---Kf2 ---JM ---JM ---Kf2 ---Kf2 ---JA1 ---JA1 ---JM ---JM ---JM ---JM ---Kf2 ---Kf2 ---JA1 ---JA1 ---Kf2 ---Kf2 ---JM ---JM ---JA1 ---JA1 ---JM ---JM ---JA1 ---JA1 ---Kf2 ---Kf2 ---Kf2 ---Kf2 ---JM ---JM ---JA1 ---JA1 ---JA1 ---JA1 ---JM ---JM ---Kf2 ---Kf2 ---JA1 ---JA1 ---JM ---JM ---Kf2 ---Kf2 ---JM ---JM ---Kf2 ---Kf2 ---JA1 ---JA1 ---JA1 ---JA1 ---JM ---JM ---Kf2 ---Kf2 ---Kf2 ---Kf2 ---JA1 ---JA1 ---JM ---JM ---Kf2 ---Kf2 ---JM ---JM ---JA1 ---JA1 ---JM ---JM ---JA1 ---JA1 ---Kf2 ---Kf2 ---Kf2 ---Kf2 ---JA1 ---JA1 ---JM ---JM ---JM ---JM ---Kf2 ---Kf2 ---JA1 ---JA1

I

II

III

IV

V

18 m

20 m

Split-plot

(18)

Methods

(19)

SIR model

S

I

R

I

P

Rate of primary

infections

β

1

Rate of secondary

infections

β

2

Rate of falls due

to disease

μ

β

Rate of

physiological falls

R

S

(

)

(

)

(

)

(

)

)

(

2

1

P

t

I

t

S

t

S

t

dt

t

dS

(

)

(

)

(

)

(

)

)

(

2

1

P

t

I

t

S

t

I

t

dt

t

dI

)

(

)

(

t

I

dt

t

dR

I

)

(

)

(

t

S

dt

t

dR

H

(20)

Mathematical modelling

S

I

R

I

R

S

(21)

0

2

4

6

8

10

12

0

5

10

15

20

25

Ri1

Ri2

Ri1_obs

Ri2_obs

0

5

10

15

20

25

30

0

5

10

15

20

25

Rs1

Rs2

Rs1_obs

Rs2_obs

0

0.5

1

1.5

2

2.5

3

0

5

10

15

20

25

I1

I2

I1_obs

I2_obs

0

5

10

15

20

25

30

35

40

45

50

0

5

10

15

20

25

S1

S2

S1_obs

S2_obs

Mathematical modelling

S

I

R

S

R

I

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0

5

10

15

20

25

Taux de chutes 

physiologiques

Age des baies (sem)

(22)

Thanks!

Références

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