Study of growth pattern of cattle under different error structures

摘要

Logistic and Gompertz growth models are fitted in growth data for Friesian × Sahiwal (F × S) and Friesian × Sahiwal × Haryana (F × S × H) breed at Agra station, Gompertz model gives better fit than Logistic model. The Generalized Least Squares (GLS) estimates are found to be more precise than Ordinary Least Squares (OLS) estimates for both Logistic as well as Gompertz model under heteroscedastic error condition for both breeds. Growth is found better for F × S × H breed, therefore, triple cross may have increased maturing rate while asymptotic weight (mature weight) is found better for F × S breed. Breed type significantly affects weight at maturity.