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Bananas and Food Security - Bioversity International

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Afrique / Africa : C.S. Gold et al.<br />

importance of a given cultivar at a farm or site. The cultivar scores for a given farm were<br />

then correlated with cultivar proportions <strong>and</strong> preferences.<br />

Principal component analysis was performed to give an indication of how important<br />

criteria correlated <strong>and</strong> to give regional recommendations for the most promising<br />

cultivars to satisfy farmer objectives at any given site. The analysis was done using the<br />

highest-ranking selection criteria by region. This was accomplished using the<br />

PRINCOMP procedure in SAS software (Anonymous 1991).<br />

Results <strong>and</strong> discussion<br />

Cultivar diversity <strong>and</strong> distribution<br />

In this study, 240 cultivar names were recorded. This number was first reduced to 130<br />

names after synonyms were replaced with st<strong>and</strong>ard names, based on a provisional<br />

checklist of banana cultivars in Ug<strong>and</strong>a (Karamura <strong>and</strong> Karamura 1994). However<br />

according to Karamura (1998) there are about 104 distinguishable clones in Ug<strong>and</strong>a of<br />

which 84 are EAHB’s. Genetic analysis using more sensitive molecular techniques might<br />

further reduce the number of identifiable banana cultivars in Ug<strong>and</strong>a.<br />

Cultivar number per site ranged from 18 to 34 (mean = 26). While the number of<br />

cultivars on individual farms ranged from 4 to 22 (mean = 12). Shannon-Weaver’s<br />

diversity index, H’, ranged from 0.77 to 1.31 per site (Figure 2). Diversity indices were<br />

highly correlated with cultivar number at each site (r = 0.85). In general, cultivar<br />

diversity was lowest (i.e. H’ < 1.15) at sites > 1500 masl <strong>and</strong> where farmers grew high<br />

proportions of brewing cultivars. In most key commercial growing areas (e.g. Bushenyi,<br />

Masaka, Mbarara <strong>and</strong> Mpigi districts), diversity indices exceeded 1.17. One Bushenyi<br />

site, however, had a diversity index of only 1.07. Surprisingly, cultivar diversity was also<br />

high (1.18-1.31) in central Ug<strong>and</strong>a where cooking banana has been under decline (Gold<br />

et al. 1998). High cultivar diversity in a region may indicate extended periods of banana<br />

cultivation.<br />

Cooking bananas were found at all study sites <strong>and</strong> on all study farms. They dominated<br />

production (i.e. > 70%) in all but the central north region (Table 3, Figure 3). Kayinja,<br />

Ndiizi <strong>and</strong> Kisubi were widespread <strong>and</strong> important in all but the eastern zone. Ndiizi was<br />

the most ubiquitous cultivar, being found at all 24 sites <strong>and</strong> on 102 farms, while Kayinja<br />

was grown in 22 sites <strong>and</strong> on 75 farms. Gros Michel (24 sites, 72 farms) <strong>and</strong> plantain (20<br />

sites, 51 farms) were also widely grown but did not account for more than 5% of<br />

production in any one zone (Table 4).<br />

Of the 130 cultivars, encountered, 10 comprised 50% of highl<strong>and</strong> banana <strong>and</strong> 38% of<br />

total Musa production in Ug<strong>and</strong>a (Table 4). A few cultivars (e.g. Nakabululu,<br />

Nakitembe) were important in all regions. Other cultivars (e.g. Kibuzi, Musakala) were<br />

widespread though absent from one region. Some cultivars (e.g. N<strong>and</strong>igobe, Nassaba,<br />

Nakeytengu) had narrow distributions <strong>and</strong> were of importance in only one region.<br />

Cultivar preferences also varied among neighbouring villages. In Mpigi district, for<br />

example, Enyeru constituted 16% of production in Kabulasoke but only 2% in Buwana.<br />

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