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Site description Iloilo is located in the southeastern region of the Island of Panay. The municipality of Ajuy is situated in the northeastern part of Iloilo, approximately 87 km from Iloilo City. Ajuy is composed of 34 barangays, three of which are islets. The topography of Ajuy is dominated by a mountain range (400 In in height) in the west that is covered with grasslands, shrubs, and secondary forests. Agricultural lands are located mostly along the foot of this mountain range and extend to the relatively flatter area along tlie sea coast. The soil type is generally sandy loam and clay loam. About 36% of the total area of the rnuniciprility is considered agricultural land, 41% of which is under rice-based farming systems. Of this' rice-based farming area, 90% is rainfed. Other crops in the area are coconut, sugarcane, maize, root crops, and legumes. Fishing is a major source of income in the coastal areas. Fish ponds constitute 6% of the total area. Livestock is raised mainly for home consumption and as 3 supplenlentary source of income. The site belongs to the Type 111 climate, which is characterized by two distinct seasons. January-April is the dry period with an average rainfall of 230 mm/mo, May-December is tlie wet season (WS) with an average rainfall of 600 mm/mo. The monthly mean temperature is relatively constant (25.2 OC,in January, 28 'C in May). The monthly mean relative humidity ranges from abo~lt 75% in April to 84% in October. Selection of sample farms Many difficulties were encountered in the selection of san;ples that would represent adopters and nonadopters of the technology. F;irrners who had established their first crop using dry seeded rice (DSR) were classified as adopters. The other f~rmers were considered to be nonadopters. Initially, the selection of adopters of KABSAKA technology was based on the information provided by the Department of Agriculture (DA). However, there were discrepancies, especially among farmers that changed categories year after year. Therefore, the farmers were cl:lssified according to the cropping system they had adopted over the last 4 years. Sixty farmers were selected during the first phase of the study. Those who dropped out during the first year were replaced with another 12 farmers. Data collection and monitoring Records on crop production and household transactions were maintained daily from March 1987 to April 1989. All crop production data were recorded on a plot basis using n farm activity sheet; whereas, household transaction dates were recorded on a

household basis on an income and expenditure sheet. Farmers were visited weekly to collect the completed record sheets. Seasonal surveys of crop production activities were conducted during the WS of 1989 and the dry season (DS) of 1990. Details of household income and expenditure were excluded from the survey. Methods of analysis Initial analysis was based on three farm-size categories. This did not reveal a significant difference in mean yield or inconle-expenditure patterns among adopters and nonadopters (Medialdia and Ranaweera 1988); therefore, further analysis was done to compare the impact parameters between adopters and nonadopters. The impact indicators included input use, yield and pattern of household consumption, income, and expenditure. The partial budget technique was used to compare the econoniic perfornlance of the t\vo groups. Cluster ai~alysis was used to classify the adopters of the new technology according to the level of adoption. Initially, plot-level data rather than farm-level data were used because farmers may apply different types of technology to plots with diverse characteristics (e.g., land tenure, Iandscilpe position, and soil texture). However, farm-level data were subsequently used for cluster analysis. Demographic characteristics of farmers and other farm-related inforrnation were also recorded along with farm-level data. Variables related to the different components of the KABSAKA technology were tabulated on a hectare basis or as a percentage of the area where the technology was used. For ex:imple, the percentage of the area planted using DSR was used to denote the extent to which the farmer adopted the recommended crop establishment methods. Likewise, the percentage of the area grown before the cut off date of the first crop and the percentage of the area with a turnaround period of less than 16 d were used to denote the cut off date for sowing and the turnaround period, respectively. Inputs (fertilizer, insecticide, and herbicide) ancl yield were tabulated on a hectare basis. The VARCLUS procedure was used to group the variables for cluster analysis. About 106 variables were considered, but only 35 variables were used in the analysis (Table 1). An attempt was made to combine the b;isic practices related to a conlponent with f~rm-level characteristics, and to use these as the classifying vari~~bles for cluster analysis. For example, for fertilizer usage as a cor-nponent technology, the variables considered were the number of applicr~tions, the level of NPK in each application, and the value of inputs used. Other components of the technology that were tested were crop establishment, weed control, and turnaround period. These components were tested on the premise that these f~rnlers could be classified according to the level of technology adoption.

Site description<br />

Iloilo is located in <strong>the</strong> sou<strong>the</strong>astern region of <strong>the</strong> Island of Panay. The municipality<br />

of Ajuy is situated in <strong>the</strong> nor<strong>the</strong>astern part of Iloilo, approximately 87 km from<br />

Iloilo City. Ajuy is composed of 34 barangays, three of which are islets.<br />

The topography of Ajuy is dominated by a mountain range (400 In in height)<br />

in <strong>the</strong> west that is covered with grasslands, shrubs, and secondary forests.<br />

Agricultural lands are located mostly along <strong>the</strong> foot of this mountain range and<br />

extend to <strong>the</strong> relatively flatter area along tlie sea coast. The soil type is generally<br />

sandy loam and clay loam.<br />

About 36% of <strong>the</strong> total area of <strong>the</strong> rnuniciprility is considered agricultural<br />

land, 41% of which is under rice-based farming <strong>systems</strong>. Of this' rice-based farming<br />

area, 90% is rainfed. O<strong>the</strong>r crops in <strong>the</strong> area are coconut, sugarcane, maize, root<br />

crops, and legumes.<br />

Fishing is a major source of income in <strong>the</strong> coastal areas. Fish ponds<br />

constitute 6% of <strong>the</strong> total area. Livestock is raised mainly for home consumption<br />

and as 3 supplenlentary source of income. The site belongs to <strong>the</strong> Type 111 climate,<br />

which is characterized by two distinct seasons. January-April is <strong>the</strong> dry period with<br />

an average rainfall of 230 mm/mo, May-December is tlie wet season (WS) with an<br />

average rainfall of 600 mm/mo. The monthly mean temperature is relatively<br />

constant (25.2 OC,in January, 28 'C in May). The monthly mean relative humidity<br />

ranges from abo~lt 75% in April to 84% in October.<br />

Selection of sample farms<br />

Many difficulties were encountered in <strong>the</strong> selection of san;ples that would represent<br />

adopters and nonadopters of <strong>the</strong> technology. F;irrners who had established <strong>the</strong>ir first<br />

crop using dry seeded rice (DSR) were classified as adopters. The o<strong>the</strong>r f~rmers<br />

were considered to be nonadopters. Initially, <strong>the</strong> selection of adopters of<br />

KABSAKA technology was based on <strong>the</strong> information provided by <strong>the</strong> Department<br />

of Agriculture (DA). However, <strong>the</strong>re were discrepancies, especially among farmers<br />

that changed categories year after year. Therefore, <strong>the</strong> farmers were cl:lssified<br />

according to <strong>the</strong> cropping system <strong>the</strong>y had adopted over <strong>the</strong> last 4 years. Sixty<br />

farmers were selected during <strong>the</strong> first phase of <strong>the</strong> study. Those who dropped out<br />

during <strong>the</strong> first year were replaced with ano<strong>the</strong>r 12 farmers.<br />

Data collection and monitoring<br />

Records on crop production and household transactions were maintained daily from<br />

March 1987 to April 1989. All crop production data were recorded on a plot basis<br />

using n farm activity sheet; whereas, household transaction dates were recorded on a

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