systems research - the IDRC Digital Library - International ...
systems research - the IDRC Digital Library - International ...
systems research - the IDRC Digital Library - International ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
In terms of yield equivalent to rice, in 1989-90, <strong>the</strong> total annual yield in FS I<br />
was 13,910 kg/ha and in FS I1 was 11,704. About 51% and 27% higher than <strong>the</strong><br />
annual yield of FS I11 (9,213 kg/ha). A similar situation was observed in 1990-91.<br />
The additional yield produced in FS I and FS I1 was contributed by fish production,<br />
particularly in FS I, in which fish culture was practiced three times a year. Fish<br />
cultivation may also have an indirect impact on soil fertility.<br />
Farm income<br />
The adoption of intensive RFFS affected <strong>the</strong> level of farm income by reducing <strong>the</strong><br />
level of inputs (e.g., insecticide, herbicide, TSP, and labor for weeding), increasing<br />
rice yields, and generating additional income from fish culture. The low level of<br />
input use reduced production costs, whereas, <strong>the</strong> increase in <strong>the</strong> production of rice<br />
and fish increased gross return and subsequently net income. The incomes of <strong>the</strong><br />
three farming system models are presented in Table 8.<br />
Food and nonfood expenditure pattern<br />
Data on food and nonfood expenditure patterns were collected during <strong>the</strong> first year<br />
of this study (1989-90) using an intensive record-keeping technique. Food and<br />
nonfood expenditure patterns per month and <strong>the</strong> monthly expenditures on fresh fish<br />
are presented in Tables 9, 10, and 11. The food and nonfood expenditure patterns<br />
were closely related to total income per farm family. On-farm income is one of <strong>the</strong><br />
sources of income that determines total income. On-farm income is not only<br />
determined by farming intensity but by land size.<br />
Farmers in FS III per capita expenditure on food (IRP18,877) was <strong>the</strong><br />
highest among <strong>the</strong> three farming system models although <strong>the</strong>y practiced a less<br />
intensive farming system (rice - rice - fallow). About 43.3% (IRP6,484) of <strong>the</strong> per<br />
capita expenditure on food is allocated to purchase rice, 15.3% (IRP2,893) for dry<br />
fish, and 15.2% (IRP2,877) for vegetables. Similarly, <strong>the</strong> per capita expenditure on<br />
nonfood items (IRP18,026) by families in FS I11 was also <strong>the</strong> highest among <strong>the</strong><br />
three farming models.<br />
Farming intensity increased per capita food and nonfood expenditures per<br />
month. For example, <strong>the</strong> average monthly per capita expenditure of <strong>the</strong> farm<br />
families belonging to FS I (IRP18,179) was higher than that of FS I1 (IRP14,123). A<br />
similar situation was observed in <strong>the</strong> nonfood expenditure pattern. The average<br />
monthly per capita expenditure on nonfood items in FS I (IRP14,OOl) was higher<br />
than <strong>the</strong> expenditures by families in FS I1 (IRP10,374). In o<strong>the</strong>r words, <strong>the</strong><br />
introduction of fish culture in FS I (rice+ fish - rice+ fish - fish) increased <strong>the</strong><br />
purchasing power of its farm families in relation to farm families belonging to FS I1<br />
(rice - rice - fish).<br />
In relation to consumption of fresh fish, <strong>the</strong> average monthly per capita<br />
expenditure of families in FS 1 (IRP1,220) was <strong>the</strong> highest among <strong>the</strong> three farming