BIOLOGICAL MONITORING OF BIOLOGICAL MONITORING OF ARABICA COFFEE - - PowerPoint PPT Presentation

BIOLOGICAL MONITORING OF BIOLOGICAL MONITORING OF ARABICA COFFEE PESTS IN THE MT. ARABICA COFFEE PESTS IN THE MT. ELGON AREA ELGON AREA

• P. Kucel, S. Kyamanywa, J.A. Ogwang, N. Uringi and J. Kovach

A NARO-MAK-I PM CRSP-APEP COLLABORATI VE RESEARCH I NI TI ATI VE

Main objective:

DEVELOP AN IPM RESEARCH PROGRAM FOR MAJOR INSECT PESTS AND DISEASES OF ARABICA COFFEE IN THE MT. ELGON REGION.

Component 1: Biological and production baseline surveys of arabica coffee in the Mt. Elgon area Component 2: Biological monitoring of arabica coffee pests in the Mt. Elgon area

Component 1: Biological and production baseline surveys of arabica coffee in the Mt. Elgon area Aimed to capture farmers’ perspective of:

the main constraints to arabica coffee production; damage due to pests and diseases; and the related pest management issues

Achievements:

Planning workshop for socio-economic surveys held during April 26 –

27, 2006

Survey instrument, sampling strategy and survey methodology

developed

Pre-testing of survey tools conducted in Sironko district; Socio-economic baseline surveys completed during June, 2006 Data management in progress

Component 2: Biological monitoring of arabica coffee pests in the

• Mt. Elgon area

Specific objectives:-

• Compile an inventory of IPM research on coffee in Uganda.
• Establish status and impact of Arabica coffee pests in the Mt.

Elgon area.

• Identify IPM research priorities for Arabica coffee in Uganda.
• Use the information derived above to complete an IPM research

work plan for Arabica coffee.

Biological monitoring methodology

Planning workshop held during 8th – 10th June, 2006. Draft work-plan reviewed and amended Appropriate sampling tools developed Recorders trained and data sheets pre-tested Study sites selected by slope, and by altitude Activities launced during 29 June – 2nd July, 2006.

.

Sampling sites:

6 study locations Manafa, Mbale and Sironko districts;

Selected districts represent the Southern, Eastern and Western

slopes;

Each district has 2 study sites in each of low to medium (up-to

1400masl) and high altitude areas (above 1400masl).

Sampling strategy

Data records taken monthly through the cropping season; Each study site divided into 4 quadrants; 4 coffee plants randomly sampled along the diagonal of each

quadrant;

Data collected simultaneously at all sites during 2nd week of every

month.

Sampling procedure for each pest type determined by its biology

and ecology

Preliminary results

Characteristics of pest incidences at low and high altitudes over time

10 20 30 40 50 60

July, 06 August, 06 September, 06 October, 06 November, 06 December,06 January, 07

Sampling period Incidence (%)

Antestia (L) Stem borer (L) Root mealybugs (L) Antestia (H) Stem borer (H) Root mealybugs(H)

Characteristics of pest incidences at low and high altitudes over time

2 4 6 8 10 12 14 16 18

July, 06 August, 06 September, 06 October, 06 November, 06 December,06 January, 07

Sampling period In c id e n c e s (% )

Leaf miners(L) Skeletonizers(L) Lace bugs(L) Cateppillar(L) Leaf miners(H) Skeletonizers(H ) Lace bugs(H) Cateppillar(H)

Characteristics of pest incidences at low and high altitudes over time

5 10 15 20 25 30 35 40 45

July, 06 August, 06 September, 06 October, 06 November, 06 December,06 January, 07

Sampling period In c id e n c e s (% )

Coffee Berry Borer(L) Scales(L) Mealybugs(L) Coffee Berry Borer(H) Scales(H) Mealybugs(H)

Characteristic of disease incidences at low and high altitudes over time

5 10 15 20 25 30 35 40 45 50

July, 06 August, 06 September, 06 October, 06 November, 06 December,06 January, 07

Sampling period In c id e n c e s (% )

Coffee leaf rust(L) CBD(L) Coffee leaf rust(H) CBD(H)

Peak incidences at low and high altitude arabica coffee zones

Pest type Low altitude(<1400) High altitude(>1400) Antestia 18.8 29.2 Stem borer 47.9 22.9 Root mealybugs 33.4 14.6 Leaf miners 5.5 13.6 Skeletonizers 5.7 4.9 Lace bugs 7.6 9.3 Cateppillar 11.1 16.5 Coffee Berry Borer 40.3 29.9 Coffee leaf rust 42.5 44.1 CBD 6.7 40.9 Scales 29.4 41.4 Mealybugs 41.7 31.3

Way forward

Complete processing of available data Document findings Relate findings to results of biological monitoring to results of socio-

economic baseline surveys

Identify gaps Develop a research agenda for arabica coffee IPM in Uganda

Acknowledgement

IPM CRSP Participating scientists Data recorders Participating coffee farmers Beatrice