Growth Patterns of Four Strains of Meat-Type Chickens in Borno State, Nigeria
Abstract
Growth patterns of four strains of meat-type (Marshall, Cobb 500, Arbor acre and Noiler) chickens were assessed to determine the best model for characterizing their growth. Four hundred straight run chickens (100 each of Marshall, Cobb 500, Arbor acre and Noiler) were used. They were reared intensively at the Poultry Unit of Livestock Teaching and Research Farm, Department of Animal Science, University of Maiduguri, Maiduguri, Borno State from day old to nine weeks of age. Data on body weights were collected from the four strains weekly. Three non-linear models, namely Gompertz, Logistic and Richards, were used to define the growth curves of these chickens. Models were compared using the following goodness of fit criteria; coefficient of determination (R2), Mean Square Error (MSE), Akaike Information Criterion (AIC) and Standard Deviation (SD). Based on MSE, AIC, the Logistic model had relatively low values which indicated better fit. On the other hand, Gompertz, among the growth curves overestimated the initial body weight in all the strains irrespective of the sex. The R2 were high for all the models (0.999) irrespective of strain or sex. Thus, all the models adequately described growth in meat type chickens.
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References
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