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An Economic Assessment of Banana Genetic Improvement and ...

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162 CHAPTER 11<br />

4.<br />

5.<br />

for which the “technology” is generated<br />

on the farm. Again, farmers are<br />

price responsive, undertaking more<br />

production when the output price relative<br />

to the input price is high. The high<br />

rates <strong>of</strong> dissemination <strong>of</strong> improved soil<br />

fertility practices are promising, despite<br />

the labor these practices dem<strong>and</strong>.<br />

Labor constraints are less <strong>of</strong> a problem<br />

in the highl<strong>and</strong>s, the more commercially<br />

oriented production zone with<br />

labor surpluses. Farmer- <strong>and</strong> association-based<br />

mechanisms appear to be a<br />

crucial factor in disseminating both<br />

planting material <strong>and</strong> technologies.<br />

Scaling up the adoption <strong>of</strong> genotypes.<br />

There is need for a dem<strong>and</strong>-driven<br />

strategy for scaling up farmer use <strong>of</strong><br />

approved banana varieties. There is<br />

widespread adoption <strong>of</strong> FHIA hybrids<br />

in Tanzania, given the great disease<br />

pressures, extensive dissemination efforts,<br />

<strong>and</strong> the historical practices <strong>of</strong><br />

farmers in actively seeking pest- <strong>and</strong><br />

disease-free planting material. Adoption<br />

definitely shows an impact on vulnerability<br />

to disease losses. Further<br />

analysis is needed over time to see<br />

whether diffusion is sustained, benefits<br />

are sustained, <strong>and</strong> income effects are<br />

observable. The examples <strong>of</strong> farmerto-farmer<br />

exchanges described for<br />

Ug<strong>and</strong>a, though limited in their impact<br />

in terms <strong>of</strong> numbers <strong>of</strong> farmers <strong>and</strong><br />

communities, warrant closer examination<br />

as models for more structured,<br />

though more decentralized, diffusion<br />

mechanisms. We recommend a farmerbased<br />

<strong>and</strong> socially based network design,<br />

with farmer-supplied planting<br />

material, possibly scaling up from<br />

some <strong>of</strong> the experiences in Ug<strong>and</strong>a.<br />

The strategy <strong>of</strong> providing large quantities<br />

<strong>of</strong> materials free <strong>of</strong> charge (a<br />

“push” strategy) is not sustainable.<br />

Determining R&D strategies for the<br />

highl<strong>and</strong>s <strong>and</strong> lowl<strong>and</strong>s. Strategies for<br />

improving productivity in high-elevation<br />

areas will necessarily be different<br />

from those targeting the low-elevation<br />

areas. The highl<strong>and</strong>s require development<br />

<strong>and</strong> promotion <strong>of</strong> best cultural<br />

practice <strong>and</strong> marketing improvements,<br />

whereas lowl<strong>and</strong>s require development<br />

<strong>and</strong> promotion <strong>of</strong> pest- <strong>and</strong>/or diseaseresistant<br />

endemic varieties together<br />

with best cultural practice aimed at reviving<br />

productivity. To support the<br />

success <strong>of</strong> these efforts, major investments<br />

need to be made in dissemination.<br />

Overall, we recommend targeting<br />

more than one trait, but not too many<br />

simultaneously, because such a strategy<br />

could delay transformation, curbing<br />

the benefits to be earned by Ug<strong>and</strong>an<br />

society.<br />

Technical change is a continuous, multidimensional<br />

process. Social science can<br />

contribute to the formulation <strong>of</strong> agricultural<br />

research policy during technology development<br />

by identifying the social, economic,<br />

<strong>and</strong> institutional impediments that must be<br />

addressed to ensure that promising new<br />

crop technologies will be adopted by farmers.<br />

Once these technologies are in the<br />

course <strong>of</strong> adoption, social science can provide<br />

insights into mechanisms that will support<br />

adoption rates <strong>and</strong> enhance the positive<br />

impact <strong>of</strong> technical change on the livelihoods<br />

<strong>of</strong> rural people.<br />

The National <strong>Banana</strong> Research Programme<br />

<strong>of</strong> NARO <strong>and</strong> IITA, with the support<br />

<strong>of</strong> the INIBAP, have embarked on an<br />

ambitious breeding program that employs a<br />

range <strong>of</strong> biotechnologies (embryo rescue<br />

<strong>and</strong> somatic embryogenesis) as well as<br />

crossing, propagation, <strong>and</strong> crop <strong>and</strong> soil<br />

management practices, to address the most<br />

debilitating diseases <strong>and</strong> pests. Some <strong>of</strong> the<br />

improved technology explored in this report<br />

already exists <strong>and</strong> some is emerging from<br />

these efforts. The baseline developed here,<br />

which represents a single, statistically based<br />

“snapshot” in a gradual process <strong>of</strong> technical<br />

change, has been used to predict the ex ante<br />

impact <strong>of</strong> transgenic cultivars. In addition, it<br />

has been used to assess the ex post impact

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