An Economic Assessment of Banana Genetic Improvement and ...

18 CHAPTER 2
Figure 2.2 Sites sampled for survey
N
Zaire
Buremba
Butebo
Balawol
Busaana Bulopa
Katikamu
Osukuru
Buyengo
Bamunanika Kisozi Busedde
Nangabo
Budde Kira Mukono Nyenga
Uganda
Bukulula
Karungu
Kyazanga
Kisekka
Lake Victoria
Mutara Nyakayojo
Kyanamukaka
Lwanda
Kasasa
Kenya
Kabatsi
Ntungamo Bugomoro
Minziro Ishozi
Kyaka Bwanjai
Kyerwa
Kasharu
Katoro
Kanyangereko
Bujugo
Bugene Rubale
Rwanda
Nolama
Surveyed areas
10, Low elevation, nonexposed
Tanzania
11, Low elevation, exposed
Burundi
20, High elevation, nonexposed
21, High elevation, exposed
is defined as the product of the sampling
fractions at each level. Weights have been
used in the descriptive analyses presented in
this report.
Industry Analysis
The first step in the sectoral analysis was to
identify the range of technology options,
through expert and stakeholder consultations,
1 based on (1) the size of current and
expected economic losses associated with
specific production constraints and (2) the
likelihood that new technologies to mitigate
these losses, and that are also suited to the
Ugandan context, can be generated.
Five key production constraints were
identified: wilts, 2 weevils, nematodes, black
Sigatoka, and soil fertility decline. All five
lead to productivity losses on affected banana
mats, if appropriate interventions are
not made. In some cases, declining productivity
leads to significant reduction in the
productive life cycle of affected mats, and
consequently, of the grove or plantation as a
whole.
To address this feature, the analytical
model was formulated as in Figure 2.3. The
1
This included consultations with research managers and banana experts from Uganda and international research
centers.
2
Both Fusarium and bacteria wilt were originally identified, but Fusarium wilt was later omitted from the
analysis to allow more attention to data collection and analysis for the rapidly growing interest in assessing the
potential economic threat of banana bacteria wilt.