Statistical Models on Poultry Egg Production
Abstract
Poultry is one of the fastest growing segments of the agro based industry in
India. The behavioral trends in production, time of peak and decline as well as the
persistency of lay can also be studied from such egg production curves, keeping all
these in view the present study was envisaged. Experimental data were collected from
Manjunatha poultry farm at Davanagere.
MLR models was used for 2 strains viz. Suguna and Babcock hen age, hen
house consumption, temperature and vaccination were used as an independent
variables for different age groups viz. 19-29, 30-45, 46-60 and 61-72 weeks and
dependent variable as egg production. Results of the study revealed that age showed
significant effect for egg production and egg weight. As age increases there was
increased in egg weight indicates that age contributing significantly as compared to
other variable. The linear and nonlinear models viz., quadratic, cubic, logarithmic,
power, exponential models were tried. Results of the study revealed that polynomial
models viz., fourth (for Suguna) and fifth (for Babcock) degree polynomial models
were of much informative in explaining the relation between age of the hen and egg
production. Two way ANOVA for two factor was used and the factors are strains viz.,
strain1, strain2 for 12 season (months) for egg production and also for age groups.
Result revealed that strain1 was less in production as compared to strain2, interaction
of strains and seasons were showed non-significance. August was high yielding
month followed by June followed by September and July. For egg production 2nd
followed by 3rd age groups were showed highest yield in egg production, that showed
average of 5 to 6 eggs in numbers per bird per week in that farm.