Bananas and Food Security - Bioversity International

Afrique / Africa : C.S. Gold et al.
Region 1 (South West Uganda): In region 1, five important variables were selected
and used for the PC analysis (Table 6a). The analysis led to five components explaining
100% of the variation. The first three components, PC1, PC2 and PC3 represented 35%,
27% and 18% respectively, (3 = 80%). The first component (PC1) correlated with pest
resistance (positively) and soil tolerance (negatively). The second component (PC2) is
positively correlated with maturation while PC3 increases with bunch size (Table 6a).
Nakyetengu shows the best pest tolerance and maturation rates, while Oruhuna and
Musakala also show good pest tolerance (Figure 4a). Nakabululu although not pest
tolerant was reported to show highest maturation rates in this region. Nakyetengu,
Oruhuna, Musakala, Nakabululu may be recommended as the best farmer selected
cultivars in the south-west region.
Region 2 (Central South Uganda): Five important variables were selected and used
for the principal component analysis (Table 6b). Three principal components accounted
for 86% of the total variation in the data. The first and most important principal
component accounted for 51%, while the second and third accounted for 16% and 15%,
respectively, of the total variation in region 2. Most of the variability in principal
component one (PC1) was contributed by longevity and soil tolerance. PC2 highly
correlated with bunch size. Cultivars, Entazinduka, Oruhuna, Ndibwabalangira and
Entobe exhibited good bunch size, longevity and soil tolerance (Figure 4b). These can be
recommended as the best performing cultivars according to farmers in this region.
Region 3 (Central North Uganda): Only three variables were selected from this
region. Also three principal components could explain all the variation in the data. PC1
and PC2, which were used in the plot together, accounted for 83% of the total variation.
PC1 highly correlated with soil and drought tolerance, while PC2 correlated highly with
bunch size (Table 6c). Enyamaizi clearly shows highest bunch size, while Bogoya and
Enkonera show high drought and soil tolerance (Figure 4c). Cultivars Kigere,
Mukubakonde, Enjumba and Enkonera can be selected as the best performing cultivars
in the region.
Region 4 (Central Uganda): Farmers in region 4 considered seven variables as most
important. These were used for a PC analysis in which seven principal components could
explain 100% of the total variation. Two principal components were selected (PC1 and
PC2) and between them they explained 64% of the total variation. PC1 correlated with
longevity and drought tolerance, while PC2 correlated highly with maturation. From the
plot of PC1 and PC2, cultivars Entazinduka, Kibuzi, Kisansa, and Kayinja showed good
maturation, longevity and drought tolerance. These were also the best performing
cultivars (Table 6d, Figure 4d).
Region 5 (East Uganda): Using five variables, the three principal components
contributed to 91% of the variation. PC1 contributed 40% and was correlated to longevity.
PC2, which explained 39% of the variation, was correlated with maturation. The plot
between PC2 and PC1 shows that Ensika, Balekagabo, Enyaambo, Enkonera and Ituntu
had both good maturation rates and longevity, and these may be considered the best
farmer selected cultivars in this region (Table 6e, Figure 4e).
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