An Economic Assessment of Banana Genetic Improvement and ...

An Economic Assessment of Banana Genetic Improvement and ... An Economic Assessment of Banana Genetic Improvement and ...

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180 APPENDIX D [(n i /N i ) × (1/M p ) × (20/H s )]. For descriptive analysis, survey weights (w) were calculated for each household as the inverse PSH. Survey Instruments A set of 10 structured, pretested questionnaires (schedules) were used as instruments for data collection, each designed to address a different aspect of the study. Six of the instruments were single-visit: household, banana plot, banana cultivar, labor, expenditure, and income. Data for the general plot schedule (the seventh schedule) were collected three times, to capture production seasonality. Expenditure, labor, and production and income data (the remaining three schedules) were collected monthly. The format and structure of the banana plot and banana cultivar instruments, as well as the banana management and social capital instruments, depart in some ways from the more typical household and plot surveys often conducted in studies of technology use by smallholder farmers. These are described briefly below. Banana Plot and Cultivar Schedules The banana plot schedule records 1. the primary decisionmaker for banana production, consumption and sales, disaggregated by gender and category of responsibility, with frequency of exposure to extension and radio information; 2. an inventory of all banana varieties on the plot, with mat counts and average number of plants per mat, by genomic group and clone set (recorded later); and 3. perceptions of incidence and severity of disease (black Sigatoka and Fusarium wilt) and pest (weevils) pressure. Nematodes were omitted because they were not observable by farmers. Farmers were asked the frequency of occurrence of the disease or pest in all years growing bananas on the plot, along with the age of the plot. Triangular yield distributions in the presence and absence of the disease or pest were elicited by cultivar (Hardaker, Huirne, and Anderson 1997). This cultivar schedule records selected phenotypic or morphological characteristics 1 (as identified by farmers) for each banana cultivar recorded in the banana plot schedule. Production and consumption attributes identified as important to farmers in previous field research in Uganda were listed. Banana production and consumption decisionmakers were then asked to rate the importance of each attribute and the extent to which each cultivar provides the attribute. Color photographs and drawings were employed to assist respondents. The same information was elicited for banana varieties that farmers had previously grown or that were grown in their village but not by them. This schedule also records information about farmer-to-farmer transfers of banana planting material and acquisition, by cultivar, with questions on willingness to pay or willingness to accept compensation for planting material. Characteristics of market sales of banana bunches (amount, farm-gate and market prices, and distance) were entered. Banana Management Schedules The banana management schedules elicited information on the farmer’s management of the natural resources in their banana plantations, as well as sanitation practices (mat management) for pest and disease control, including use and awareness of recommended practices and sources of information about management practice. The extent 1 Morphological characteristics are the observable physical features that help farmers distinguish one banana cultivar from another, such as bunch size and position, finger size and position, maturation period, and color of the stem of the banana plant.

DETAILS OF SAMPLE SURVEY DESIGN 181 of use for the organic fertilizers for a oneproduction cycle (January to December 2003) was measured by counting the number of mats under each type of organic fertilizer. To minimize the measurement error, the interview was conducted in the plot, and the farmer showed the enumerator parts of the plantation that were treated with the organic fertilizers as the enumerator counted mats in the area. For mat management practices, color photographs were used to enhance the farmer’s recognition of the practice being surveyed. Social Capital Schedules Social capital data were collected through discussions with key informants and the sampled households. Key informants (the local leaders and village elders) were interviewed about village social homogeneity (in terms of ethnicity and religious affiliation) and formal and informal organizations. The schedule on associations recorded information on household membership; the level of household participation; major activities of associations; benefits to the members; and composition, function, and leadership quality of associations. These were measured following the work of Narayan (1997). Social networks, trust, and solidarity, as well as historical rules and regulations, were measured in other instruments as part of the thesis by Katungi (2006) but are not presented here. References Chandler, S. 1995. The nutritional value of bananas. In Bananas and plantains, ed. S. R. Gowen. London: Chapman & Hall. De Groote, H. 1996. Optimal survey design in rural data collection in developing countries. Quarterly Journal of International Agriculture 35 (2): 163–175. Hansen, M. H., W. N. Hurwitz, and W. G. Madow. 1953. Sample survey methods and theory. New York: John Wiley and Sons. Hardaker, J., R. Huirne, and J. Anderson. 1997. Coping with risk in agriculture. Wallingford, U.K.: CAB International. Karamura, D. A., and E. Karamura. 1994. A provisional checklist of banana cultivars in Uganda. Kampala, Uganda: Kawanda Agricultural Research Institute, Uganda National Banana Research Programme, National Agricultural Research Organization. Katungi, E. 2006. Social capital and technology adoption on small farms: A case of banana production technology in Uganda. Ph.D. thesis, University of Pretoria, Pretoria, Republic of South Africa. Narayan, D. 1997. Voices of the poor: Poverty and social capital in Tanzania. Environmentally and Sustainable Development Studies and Monographs Series 20. Washington, D.C.: World Bank. Speijer, P. R., C. S. Gold, E. B. Karamura, and J. N. Kashaija. 1994. Banana weevil and nematode distribution patterns in highland banana systems in Uganda: Preliminary results from a diagnostic survey. In African Crop Science Conference proceedings, ed. E. Adipala, M. A. Bekunda, J. S. Tenywa, M. W. Ogenga-Latigo, and J. O. Mugah. June 14–18, 1993, Kampala, Uganda. Kampala: African Crop Science Society. Tushemereirwe, W. K., D. A. Karamura, H. Sali, D. Bwamiki, I. Kashaija, C. Nankinga, F. Bagamba, A. Kangire, and R. Sebuliba. 2001. Bananas (Musa spp.). In Agriculture in Uganda. Vol. 11, Crops, ed. J. Mukiibi. Kampala, Uganda, and Wageningen, The Netherlands: Fountain Publishers, Technical Centre for Agricultural and Rural Cooperation, and National Agricultural Research Organization.

180 APPENDIX D<br />

[(n i /N i ) × (1/M p ) × (20/H s )]. For descriptive<br />

analysis, survey weights (w) were calculated<br />

for each household as the inverse PSH.<br />

Survey Instruments<br />

A set <strong>of</strong> 10 structured, pretested questionnaires<br />

(schedules) were used as instruments<br />

for data collection, each designed to address<br />

a different aspect <strong>of</strong> the study. Six <strong>of</strong> the<br />

instruments were single-visit: household,<br />

banana plot, banana cultivar, labor, expenditure,<br />

<strong>and</strong> income. Data for the general plot<br />

schedule (the seventh schedule) were collected<br />

three times, to capture production<br />

seasonality. Expenditure, labor, <strong>and</strong> production<br />

<strong>and</strong> income data (the remaining three<br />

schedules) were collected monthly.<br />

The format <strong>and</strong> structure <strong>of</strong> the banana<br />

plot <strong>and</strong> banana cultivar instruments, as<br />

well as the banana management <strong>and</strong> social<br />

capital instruments, depart in some ways<br />

from the more typical household <strong>and</strong> plot<br />

surveys <strong>of</strong>ten conducted in studies <strong>of</strong> technology<br />

use by smallholder farmers. These<br />

are described briefly below.<br />

<strong>Banana</strong> Plot <strong>and</strong> Cultivar<br />

Schedules<br />

The banana plot schedule records<br />

1. the primary decisionmaker for banana<br />

production, consumption <strong>and</strong> sales,<br />

disaggregated by gender <strong>and</strong> category<br />

<strong>of</strong> responsibility, with frequency<br />

<strong>of</strong> exposure to extension <strong>and</strong> radio<br />

information;<br />

2. an inventory <strong>of</strong> all banana varieties on<br />

the plot, with mat counts <strong>and</strong> average<br />

number <strong>of</strong> plants per mat, by genomic<br />

group <strong>and</strong> clone set (recorded later);<br />

<strong>and</strong><br />

3. perceptions <strong>of</strong> incidence <strong>and</strong> severity<br />

<strong>of</strong> disease (black Sigatoka <strong>and</strong> Fusarium<br />

wilt) <strong>and</strong> pest (weevils) pressure.<br />

Nematodes were omitted because they<br />

were not observable by farmers. Farmers<br />

were asked the frequency <strong>of</strong> occurrence <strong>of</strong><br />

the disease or pest in all years growing bananas<br />

on the plot, along with the age <strong>of</strong> the<br />

plot. Triangular yield distributions in the<br />

presence <strong>and</strong> absence <strong>of</strong> the disease or pest<br />

were elicited by cultivar (Hardaker, Huirne,<br />

<strong>and</strong> <strong>An</strong>derson 1997).<br />

This cultivar schedule records selected<br />

phenotypic or morphological characteristics<br />

1 (as identified by farmers) for each banana<br />

cultivar recorded in the banana plot<br />

schedule. Production <strong>and</strong> consumption attributes<br />

identified as important to farmers in<br />

previous field research in Ug<strong>and</strong>a were<br />

listed. <strong>Banana</strong> production <strong>and</strong> consumption<br />

decisionmakers were then asked to rate the<br />

importance <strong>of</strong> each attribute <strong>and</strong> the extent<br />

to which each cultivar provides the attribute.<br />

Color photographs <strong>and</strong> drawings were employed<br />

to assist respondents. The same information<br />

was elicited for banana varieties<br />

that farmers had previously grown or that<br />

were grown in their village but not by them.<br />

This schedule also records information<br />

about farmer-to-farmer transfers <strong>of</strong> banana<br />

planting material <strong>and</strong> acquisition, by cultivar,<br />

with questions on willingness to pay or<br />

willingness to accept compensation for<br />

planting material. Characteristics <strong>of</strong> market<br />

sales <strong>of</strong> banana bunches (amount, farm-gate<br />

<strong>and</strong> market prices, <strong>and</strong> distance) were<br />

entered.<br />

<strong>Banana</strong> Management Schedules<br />

The banana management schedules elicited<br />

information on the farmer’s management <strong>of</strong><br />

the natural resources in their banana plantations,<br />

as well as sanitation practices (mat<br />

management) for pest <strong>and</strong> disease control,<br />

including use <strong>and</strong> awareness <strong>of</strong> recommended<br />

practices <strong>and</strong> sources <strong>of</strong> information<br />

about management practice. The extent<br />

1<br />

Morphological characteristics are the observable physical features that help farmers distinguish one banana<br />

cultivar from another, such as bunch size <strong>and</strong> position, finger size <strong>and</strong> position, maturation period, <strong>and</strong> color <strong>of</strong><br />

the stem <strong>of</strong> the banana plant.

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