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Whitefly and whitefly-borne viruses in the tropics : Building a ... - cgiar

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Introduction<br />

Sub-project on Whiteflies<br />

as Vectors of Viruses of<br />

Cassava <strong>and</strong> Sweetpotato<br />

<strong>in</strong> Sub-Saharan Africa<br />

With<strong>in</strong> <strong>the</strong> framework of <strong>the</strong> Tropical<br />

<strong>Whitefly</strong> Integrated Pest Management<br />

(TWF-IPM) Project, <strong>the</strong> purpose of <strong>the</strong><br />

diagnostic phase of <strong>the</strong> sub-project was<br />

to ga<strong>the</strong>r, generate <strong>and</strong> analyse<br />

basel<strong>in</strong>e data relevant to <strong>the</strong> diagnosis<br />

<strong>and</strong> characterization of <strong>whitefly</strong><br />

problems <strong>and</strong> <strong>whitefly</strong>-transmitted<br />

virus problems <strong>in</strong> cassava <strong>and</strong><br />

sweetpotato. The rationale beh<strong>in</strong>d <strong>the</strong><br />

diagnostic phase was <strong>the</strong>refore to<br />

provide essential basel<strong>in</strong>e <strong>in</strong>formation<br />

on CMD, SPVD <strong>and</strong> whiteflies on<br />

cassava <strong>and</strong> sweetpotato, to serve as<br />

<strong>the</strong> basis for <strong>the</strong> development <strong>and</strong><br />

implementation of targeted <strong>and</strong><br />

appropriate IPM strategies <strong>in</strong><br />

subsequent phases of <strong>the</strong> project.<br />

The sub-project <strong>in</strong>volved<br />

collaboration among three <strong>in</strong>ternational<br />

agricultural research centres, one<br />

national agricultural research<br />

organization <strong>in</strong> each of n<strong>in</strong>e African<br />

countries, <strong>and</strong> three o<strong>the</strong>r research<br />

<strong>in</strong>stitutions outside Africa (Table 2).<br />

The <strong>in</strong>clusion of n<strong>in</strong>e countries at this<br />

stage of <strong>the</strong> project <strong>and</strong> <strong>the</strong> use of a<br />

st<strong>and</strong>ardized protocol provided a<br />

unique opportunity to obta<strong>in</strong> data that<br />

could be compared from country to<br />

country <strong>and</strong> region to region. The scope<br />

of <strong>the</strong> study also facilitated <strong>the</strong> first<br />

systematic collection <strong>and</strong><br />

characterization of <strong>whitefly</strong>-transmitted<br />

<strong>viruses</strong>, <strong>whitefly</strong> <strong>and</strong> <strong>whitefly</strong> natural<br />

enemy specimens from cassava <strong>and</strong><br />

sweetpotato <strong>in</strong> sub-Saharan Africa.<br />

Collaboration <strong>and</strong> selection of<br />

target areas<br />

Countries were identified for<br />

participation <strong>in</strong> <strong>the</strong> sub-project<br />

primarily on <strong>the</strong> basis of <strong>the</strong><br />

importance of cassava <strong>and</strong>/or<br />

sweetpotato cultivation to <strong>the</strong>ir<br />

farmers, although security concerns<br />

precluded <strong>the</strong> participation of some of<br />

<strong>the</strong> major producers of each crop. The<br />

n<strong>in</strong>e African countries that were<br />

extensively surveyed—Ghana, Ben<strong>in</strong>,<br />

Nigeria, Cameroon, Ug<strong>and</strong>a, Tanzania,<br />

Kenya, Malawi <strong>and</strong> Madagascar—<br />

toge<strong>the</strong>r represented 62% of cassava<br />

<strong>and</strong> 56% of sweetpotato production <strong>in</strong><br />

Africa (FAO, 1999). Zambia was<br />

<strong>in</strong>volved <strong>in</strong> <strong>the</strong> project only to a limited<br />

extent, implement<strong>in</strong>g a sweetpotato<br />

virus diagnostic survey <strong>in</strong> collaboration<br />

with <strong>the</strong> Natural Resources Institute,<br />

UK. Sweetpotato work was carried out<br />

only <strong>in</strong> eastern <strong>and</strong> sou<strong>the</strong>rn Africa,<br />

because <strong>the</strong> crop is not grown widely<br />

<strong>in</strong> West Africa. Table 2 summarizes <strong>the</strong><br />

roles of each of <strong>the</strong> partners <strong>in</strong>volved<br />

<strong>in</strong> <strong>the</strong> diagnostic phase.<br />

Implementation of <strong>the</strong> work<br />

plan, results <strong>and</strong> analysis<br />

Diagnostic surveys were conducted<br />

accord<strong>in</strong>g to protocols set out <strong>in</strong> <strong>the</strong><br />

st<strong>and</strong>ardized methodology agreed<br />

among <strong>the</strong> project partners. In each<br />

country, three or four target areas were<br />

identified for <strong>the</strong> survey. The criteria<br />

for selection of <strong>the</strong>se areas were that<br />

<strong>the</strong>y should be major root cropproduc<strong>in</strong>g<br />

zones <strong>and</strong> preferably should<br />

have contrast<strong>in</strong>g agro-ecological<br />

characteristics. In each ecozone, <strong>the</strong><br />

sites were selected at about 20-km<br />

<strong>in</strong>tervals along roads. Where no<br />

cassava farms were encountered at <strong>the</strong><br />

20-km po<strong>in</strong>t, <strong>the</strong> next suitable site<br />

<strong>the</strong>reafter was selected. Field data <strong>and</strong><br />

biological specimens were collected<br />

from 3-6 month-old cassava plant<strong>in</strong>gs<br />

on surveyed farms <strong>and</strong> producers were<br />

<strong>in</strong>terviewed us<strong>in</strong>g <strong>the</strong> st<strong>and</strong>ardized<br />

project questionnaires.<br />

Between 10 <strong>and</strong> 42 locations were<br />

used for sampl<strong>in</strong>g <strong>in</strong> each target area,<br />

<strong>and</strong> at each location a s<strong>in</strong>gle set of<br />

samples <strong>and</strong> data was collected. The<br />

data set comprised: (1) a producer<br />

questionnaire relat<strong>in</strong>g to perceptions<br />

19

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