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An Economic Assessment of Banana Genetic Improvement and ...

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here> 12near 5.<br />

58 CHAPTER 5<br />

Table 5.12 Results <strong>of</strong> hypothesis tests comparing distributions <strong>of</strong><br />

expected yield loss due to three constraints, by elevation, across use<br />

groups, Ug<strong>and</strong>a<br />

Kolmogorov-Smirnov test (p-value)<br />

Use group<br />

Black Sigatoka Weevils Fusarium wilt<br />

Cooking cultivars 0.000 0.000 0.764<br />

Beer cultivars 0.000 0.931 0.000<br />

Sweet cultivars 0.000 0.324 0.412<br />

Multiuse cultivars 0.359 0.775 0.099<br />

Roasting cultivars 0.049 0.010 0.928<br />

do not confirm the same relationship for<br />

Ug<strong>and</strong>a, it should be borne in mind that the<br />

number <strong>of</strong> farmers growing hybrids, <strong>and</strong><br />

thus the number <strong>of</strong> observations compared,<br />

are few. A t-test comparing the expected<br />

yield losses for endemic <strong>and</strong> hybrid bananas,<br />

for the farmers in Tanzania who<br />

grow both, indicates that they are on average<br />

less susceptible at a 10 percent significance<br />

level. These data, though sparse, provide<br />

some evidence that farmers perceive<br />

benefits from the introduction <strong>of</strong> hybrids in<br />

Tanzania. The evidence is less clear in<br />

Ug<strong>and</strong>a, perhaps as a consequence <strong>of</strong> the<br />

smaller volume <strong>of</strong> hybrids disseminated,<br />

differences in disease pressures, <strong>and</strong> farmers’<br />

knowledge <strong>of</strong> the diseases.<br />

In Ug<strong>and</strong>a, expected yield loss distributions<br />

were compared for the three biotic<br />

constraints <strong>of</strong> interest (black Sigatoka,<br />

Fusarium wilt, <strong>and</strong> weevils) by elevation<br />

across use types. The p-values <strong>of</strong> test results<br />

comparing the distributions are shown in<br />

Table 5.12. 4 Data support the hypothesis<br />

that the underlying statistical distributions<br />

<strong>of</strong> expected yield losses from black Sigatoka<br />

differ by elevation for cooking, beer, sweet,<br />

<strong>and</strong> roasting cultivars. The geographical<br />

focus <strong>of</strong> the disease is the low-elevation<br />

areas, with limited incidence in the highl<strong>and</strong>s.<br />

This pattern is less evident for Fusarium<br />

wilt <strong>and</strong> weevils, with no statistically<br />

significant differences being evident between<br />

expected yield loss distributions for<br />

most banana use groups. The importance <strong>of</strong><br />

altitude in the incidence <strong>and</strong> severity <strong>of</strong> biotic<br />

pressures that farmers perceive supports<br />

biophysical studies conducted previously<br />

<strong>and</strong> the sample stratification scheme<br />

(Gold, Kiggundu, <strong>and</strong> Abera 1998; Gold et<br />

al. 2004), although the data indicate that<br />

leaf spots <strong>and</strong> weevils are less important<br />

considerably above 1,200 m.a.s.l., the dividing<br />

line used in this study.

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