By G. Blomme, B. Vanlauwe, Piet van Asten
This booklet addresses matters regarding intensification of banana-based cropping structures within the (sub)humid highland parts of Africa. the data that's awarded within the 28 chapters of the publication relies on learn conducted within the nice Lakes zone by way of CIALCA (Consortium for making improvements to Agriculture-based Livelihoods in imperative Africa) and companions, and is prepared in six sections: banana germplasm (part 1), cutting edge seed platforms (part 2), pests and illnesses (part 3), cropping platforms (part 4), postharvest use and meals (part 5), and expertise adoption and dissemination of information (part 6). This e-book offers a useful source for researchers, improvement actors, scholars and coverage makers in agricultural structures and economics and in overseas improvement. It highlights and addresses key demanding situations and possibilities that exist in protecting and bettering the important buffer functionality that bananas supply within the agricultural structures of the humid highlands of sub-Saharan Africa. to be had In Print
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Additional info for Banana systems in the humid highlands of sub-Saharan Africa: enhancing resilience and productivity
Values of order of diversity less than one favour rare cultivars and those above one favour the more common cultivars. 2) where ni is the number of individuals of cultivar i and N is total number of individuals of all cultivars. e. order of diversity two) from a site will belong to the same cultivar (Simpson, 1949). In a complementary way, the Gini– Simpson index (1 – D) is the probability that two independent samples will yield individuals belonging to different cultivars (Frosini, 2004). 0. The index assumes values between 0 and (S – 1)/S (almost exactly normalized between 0 and 1 for large values of S) (Frosini, 2004).
The software GenStat (11th edition) from VSN International (2008) was used to calculate the Simpson index, and also to compute the analysis of variance, means and standard errors for the household level cultivar richness. The Microsoft Excel package was used to generate figures. 1). Rwanda ranked highest with 42 cultivars, followed by South Kivu with 32, Burundi with 31 and finally North Kivu with 30. Of these cultivars, only five (‘Gisukari’ (AAA), ‘Intuntu’ (AAA-EA), ‘Kamaramasenge’ (AAB), ‘Pisang awak’ (ABB) and ‘Yangambi Km5’ (AAA)) were widely grown across the four regions.
2) within a region/country and across the different regions/countries. The cultivar names given are those commonly used across the region or among farmers, and so less widely used names were taken as synonyms. For example, the cultivar ‘Gisukari’ had three synonyms in both Burundi and Rwanda, but 13 synonyms in eastern DR Congo (North and South Kivu). Similarly, the cultivars ‘Kamaramasenge’ and ‘Yangambi Km5’ also had a large number of synonyms, especially in DR Congo. The presence of numerous names and synonyms in different languages, dialects and countries is a common problem confronting banana taxonomists 16 W.