4 - Central Institute of Brackishwater Aquaculture
4 - Central Institute of Brackishwater Aquaculture
4 - Central Institute of Brackishwater Aquaculture
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National Workshop-cum-Tratnlng on Bioinformatlcs and Information Management in <strong>Aquaculture</strong><br />
2. Data and variables<br />
2.1. Data sources<br />
The present analysis was carried out on a data set <strong>of</strong> 221 aquaculture farms that<br />
was collected using multistage stratified random sampling covering 73 revenue<br />
villages spread over 9 Mandals <strong>of</strong> West Godavari and Krishna districts <strong>of</strong> Andhra<br />
Pradesh under the AP-Cess fund project entitled "Technological innovations in<br />
aquaculture and its effects on sustainability <strong>of</strong> farming systems in Andhra<br />
Pradesh" funded by Indian Council <strong>of</strong> Agricultural Research (ICAR) during 1998-<br />
2002. Farmers <strong>of</strong> Kolleru Lake generally practice semi-intensive composite<br />
culture <strong>of</strong> two Indian major carps namely catla (Catla catla) and rohu (Labeo<br />
rohita) at a species ratio <strong>of</strong> 1:4 and at a stocking density ranging from 5 - 10<br />
thousand advanced fingerling/ha with higher level <strong>of</strong> input recommended for<br />
composite fish culture adopting single stocking and single harvesting techniques.<br />
The earlier practice <strong>of</strong> five species poly culture <strong>of</strong> carps (IMC and exotic) is now<br />
replaced by a two species (Rohu and Catla) culture system (Padmavathi and<br />
Prasad 2003). This technology is the modified version <strong>of</strong> composite fish culture<br />
technology (Chaudhuri et a1.1975) that the farmers <strong>of</strong> Kolleru Lake area have<br />
perfected with respect to species composition and input use, which were driven<br />
by growth <strong>of</strong> cultivable species, market demand, consumer preference, keeping<br />
quality and economics. The technology delivers a yield <strong>of</strong> 7-15 tones/ha/yr.<br />
2.2. Input and output variables<br />
All input and output variables used in the stochastic frontier production function<br />
model in this study are clearly defined along with measurement units (Table 1).<br />
Summary statistics <strong>of</strong> organic manure, inorganic fertilizer, lime, chemicals and<br />
drugs, feed applied, types <strong>of</strong> labor engaged and socio-economic pr<strong>of</strong>iles like<br />
religion, caste, age, no. <strong>of</strong> children, education, experience, asset, etc. <strong>of</strong> the<br />
farm operators are furnished in table-2.<br />
2.3. Sample Characteristics<br />
The average pond size <strong>of</strong> our sample was 8.7 ha and the range was 0.8 - 61 ha.<br />
The primary occupation <strong>of</strong> 79% <strong>of</strong> the farmers is aquaculture. 96% <strong>of</strong> the<br />
farmers receive water from the adjoining irrigation canals and 4% take water<br />
from natural sources. 92% <strong>of</strong> the farmers are facility owners or survey revealed<br />
that 83% farmers reported renovating now <strong>of</strong>ten their ponds as part <strong>of</strong> pond<br />
management practices. All farmers cultured catla and rohu at a species ratio <strong>of</strong><br />
1:4 and at an average stocking biomass <strong>of</strong> 1939 kg/ha. Single stocking and<br />
single harvesting practices per year was resorted to by 95% <strong>of</strong> the farmers. Feed<br />
97% <strong>of</strong> farmers applies was using perforated bags hanged from poles and<br />
submerged. Average yield <strong>of</strong> fish was 10.63 t/ha/year.<br />
3. Empirical Model for Estimation <strong>of</strong> Technical Efficiency and Test <strong>of</strong><br />
Hypothesis<br />
It is mentioned that the level <strong>of</strong> technical efficiency <strong>of</strong> a particular farm is<br />
characterized by the relationship between observed production and some ideal<br />
production (Greene, 1993). The frontier production function defines potential