Whitefly and whitefly-borne viruses in the tropics : Building a ... - cgiar
Whitefly and whitefly-borne viruses in the tropics : Building a ... - cgiar
Whitefly and whitefly-borne viruses in the tropics : Building a ... - cgiar
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Ug<strong>and</strong>a<br />
between November 1997 <strong>and</strong> January<br />
1998. It was anticipated that <strong>the</strong> data<br />
collected would be useful <strong>in</strong> help<strong>in</strong>g<br />
researchers <strong>in</strong> Ug<strong>and</strong>a monitor <strong>the</strong><br />
development of <strong>the</strong> CMD epidemic,<br />
target control <strong>in</strong>terventions more<br />
effectively <strong>and</strong>, <strong>in</strong> <strong>the</strong> longer term,<br />
develop sound <strong>in</strong>tegrated pest<br />
management (IPM) strategies for<br />
cassava <strong>and</strong> sweetpotato.<br />
Ug<strong>and</strong>a<br />
Lira<br />
Apac<br />
Mas<strong>in</strong>di<br />
Luwero<br />
Mukono<br />
Mubende Iganga Tororo<br />
Rallisa<br />
Masaka<br />
Rakai<br />
Mpigi<br />
Lake<br />
Victoria<br />
Figure 1. Cassava- <strong>and</strong> sweetpotato-grow<strong>in</strong>g<br />
areas surveyed for <strong>whitefly</strong> <strong>in</strong>cidence<br />
<strong>in</strong> Ug<strong>and</strong>a.<br />
Surveys were carried out <strong>in</strong><br />
12 districts of Ug<strong>and</strong>a (Figure 1) by<br />
multi-discipl<strong>in</strong>ary teams from <strong>the</strong><br />
National Agricultural Research<br />
Organisation <strong>and</strong> <strong>the</strong> International<br />
Institute of Tropical Agriculture (IITA).<br />
Districts were chosen to represent<br />
major cassava <strong>and</strong> sweetpotato<br />
produc<strong>in</strong>g areas. Farmers’ fields of<br />
cassava 3-5 months after plant<strong>in</strong>g <strong>and</strong><br />
of sweetpotato 3 months after plant<strong>in</strong>g<br />
were selected at regular <strong>in</strong>tervals along<br />
ma<strong>in</strong> roads travers<strong>in</strong>g each district.<br />
Data were collected accord<strong>in</strong>g to <strong>the</strong><br />
st<strong>and</strong>ardized survey methods, except<br />
that <strong>the</strong> number of fields varied<br />
between <strong>the</strong> districts because <strong>the</strong><br />
survey areas were selected on <strong>the</strong><br />
basis of agro-ecological differences<br />
ra<strong>the</strong>r than adm<strong>in</strong>istrative boundaries<br />
(Table 1).<br />
Increased Biological<br />
Underst<strong>and</strong><strong>in</strong>g<br />
<strong>Whitefly</strong> species <strong>and</strong> abundance<br />
The survey identified two <strong>whitefly</strong><br />
species, B. tabaci <strong>and</strong> B. afer (Priesner<br />
<strong>and</strong> Hosny). Of <strong>the</strong> 261 samples<br />
identified on cassava, 95.8% were<br />
B. tabaci <strong>and</strong> 4.2% B. afer. Only<br />
B. tabaci was recorded from sweetpotato.<br />
<strong>Whitefly</strong> populations on cassava<br />
(counted on <strong>the</strong> top five leaves for a<br />
s<strong>in</strong>gle shoot of each of 30 plants per<br />
sampled field) were highest <strong>in</strong> <strong>the</strong> southwestern<br />
districts of Masaka <strong>and</strong> Rakai<br />
<strong>and</strong> lowest <strong>in</strong> Mas<strong>in</strong>di (<strong>the</strong> northwestern<br />
limit of <strong>the</strong> survey area) <strong>and</strong><br />
Tororo (on Ug<strong>and</strong>a’s eastern border with<br />
Kenya), with mean abundance rang<strong>in</strong>g<br />
from 0.7 to 13.1 per top five leaves<br />
(Table 1) (see also Figure 2 <strong>in</strong> Chapter<br />
1.14, this volume). The pattern of<br />
<strong>whitefly</strong> populations on sweetpotato<br />
(counted by disturb<strong>in</strong>g leaves <strong>and</strong><br />
mak<strong>in</strong>g 10 serial counts of 1 m<strong>in</strong> each of<br />
<strong>whitefly</strong> adults observed) was similar to<br />
that on cassava: abundance was<br />
greatest <strong>in</strong> <strong>the</strong> central districts of<br />
Mukono <strong>and</strong> Mpigi <strong>and</strong> lowest <strong>in</strong><br />
Mas<strong>in</strong>di <strong>and</strong> Apac. Mean adult <strong>whitefly</strong><br />
abundance ranged from 0.9 to 14.8 per<br />
m<strong>in</strong>ute count. In similar studies, Aritua<br />
et al. (1998) found greater <strong>whitefly</strong><br />
abundance on sweetpotato <strong>in</strong> <strong>the</strong><br />
sou<strong>the</strong>rn <strong>and</strong> central zones, which are<br />
characterized by more evenly distributed<br />
ra<strong>in</strong>fall than <strong>the</strong> nor<strong>the</strong>rn <strong>and</strong> eastern<br />
zones.<br />
The data <strong>in</strong>dicate a higher <strong>whitefly</strong><br />
population on both crops <strong>in</strong> sou<strong>the</strong>rn<br />
<strong>and</strong> south-western Ug<strong>and</strong>a than <strong>in</strong> <strong>the</strong><br />
nor<strong>the</strong>rn <strong>and</strong> eastern districts of <strong>the</strong><br />
country. Assess<strong>in</strong>g <strong>the</strong> significance of<br />
<strong>the</strong>se differences is difficult based on<br />
records collected on a s<strong>in</strong>gle occasion,<br />
dur<strong>in</strong>g what appears to be <strong>the</strong><br />
cont<strong>in</strong>u<strong>in</strong>g spread of an epidemic.<br />
Numerous factors such as physical<br />
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