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An Economic Assessment of Banana Genetic Improvement and ...

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8 CHAPTER 1<br />

niques (based on seed production by either<br />

self-pollination, cross-pollination, or by hybridization)<br />

makes genetic engineering a<br />

particularly attractive means <strong>of</strong> combating<br />

pests <strong>and</strong> disease through host-plant resistance<br />

(see Chapter 4 <strong>and</strong> Johanson <strong>and</strong> Ives<br />

2001). In addition, even when breeders<br />

choose parents preferred by farmers, the<br />

development <strong>of</strong> hybrids through conventional<br />

crosses <strong>of</strong>ten produces bananas that<br />

are distant in type from either parent. Thus,<br />

biotechnology <strong>of</strong>fers a means <strong>of</strong> genetic<br />

improvement without transforming the end<br />

products that have proven to be <strong>of</strong> economic<br />

value to farmers <strong>and</strong> consumers. So far, genetic<br />

transformation for fungal resistance<br />

has been initiated in Cavendish <strong>and</strong> plantain<br />

types only but has been recommended for<br />

endemic types (Quemada <strong>and</strong> Johanson<br />

2004). Farmers reproduce banana cultivars<br />

through vegetative propagation.<br />

Contribution <strong>of</strong> This<br />

Research<br />

This study contributes information in several<br />

ways. First, it provides a case study <strong>of</strong><br />

the potential impacts <strong>of</strong> a food-crop biotechnology<br />

in smallholder African agriculture.<br />

From case studies published about the<br />

adoption <strong>of</strong> crop biotechnologies so far, relatively<br />

little can be gleaned about the potential<br />

dem<strong>and</strong> for transgenic cultivars <strong>of</strong> staple<br />

food crops in Sub-Saharan Africa. Several<br />

ex ante studies predicting the economic<br />

impact <strong>of</strong> transgenic food crops have been<br />

conducted in the economic surplus framework<br />

(Qaim 1999a,b), based on assumed,<br />

rather than actual, adoption parameters.<br />

Farmer adoption <strong>of</strong> genetically improved<br />

cultivars has been analyzed ex post in highincome<br />

countries with fully commercialized<br />

agricultural production, based on field<br />

trials, farmer <strong>and</strong> consultant surveys, or<br />

field-level surveys (reviewed in Fern<strong>and</strong>ez-<br />

Conejo <strong>and</strong> McBride 2002; Marra, Pardey,<br />

<strong>and</strong> Alston 2003).<br />

Few biotechnology products have been<br />

released to farmers in agricultural economies<br />

that are not heavily industrialized.<br />

Recent research has analyzed the adoption<br />

<strong>and</strong> welfare impacts ex post <strong>of</strong> introducing<br />

transgenic cotton in China, South Africa,<br />

Mexico, Argentina, <strong>and</strong> India (see review<br />

by Smale, Zambrano, <strong>and</strong> Cartel 2006).<br />

Cotton, the championed success story in<br />

developing countries, is a special case. Cottonseed<br />

cannot be easily saved by smallholder<br />

farmers, <strong>and</strong> the requirements <strong>of</strong><br />

ginning <strong>and</strong> delinting processes favor the<br />

vertical integration <strong>of</strong> cotton production <strong>and</strong><br />

marketing. The story <strong>of</strong> Makhathini Flats <strong>of</strong><br />

Kwa Zulu, Natal, illustrates the vulnerability<br />

<strong>of</strong> growers to such market arrangements<br />

(Gouse et al. 2005).<br />

A second contribution <strong>of</strong> this research is<br />

the representative statistical baseline that it<br />

provides to national research programs for<br />

characterizing banana growers <strong>and</strong> bananas<br />

today <strong>and</strong> measuring the effects <strong>of</strong> projects<br />

in the future. A third is the integration <strong>of</strong><br />

several in-depth studies, undertaken principally<br />

as doctoral theses (Edmeades 2003;<br />

Katungi 2006; Bagamba 2007; Nkuba<br />

2007), which investigate specific components<br />

<strong>of</strong> banana production <strong>and</strong> types <strong>of</strong><br />

banana cultivars <strong>and</strong> management practices.<br />

The principal objectives <strong>of</strong> these theses<br />

were to analyze<br />

1. constraints to banana productivity <strong>and</strong><br />

efficiency, including labor markets <strong>and</strong><br />

soil fertility;<br />

2. banana cultivar choice <strong>and</strong> dem<strong>and</strong><br />

with a trait-based approach, accounting<br />

for farmers’ perceptions <strong>of</strong> biotic<br />

constraints <strong>and</strong> cooking quality;<br />

3. the role <strong>of</strong> social capital <strong>and</strong> social<br />

networks in diffusion <strong>of</strong> best practices<br />

for soil fertility management in banana<br />

production; <strong>and</strong><br />

4. the effects <strong>of</strong> banana hybrids on smallholder<br />

farmers in the Kagera Region<br />

<strong>of</strong> Tanzania.<br />

Drawing on the findings <strong>of</strong> these theses<br />

permitted a more comprehensive underst<strong>and</strong>ing<br />

<strong>of</strong> farmers’ conditions. Viewing<br />

technology as a gradation <strong>of</strong> practices <strong>and</strong>

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