Authors :
NWEKE-OKOROCHA, Obiageri Genevieve;GUNN, Hollinshead.Holly;AGAVIEZOR, Brilliant Ogagaoghene
Volume/Issue :
Volume 7 - 2022, Issue 3 - March
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3N7NafW
DOI :
https://doi.org/10.5281/zenodo.6372428
Abstract :
This study was carried out with 240 indigenous
day-old chickens comprising of mixed sex frizzle
feathered, naked neck, normal feathered and Noiler
raised to 16 weeks of age to predict the body weight of 4
stains of Nigerian local and improved chickens using
multiple linear regression and allometry function/model
fitted for body weight and linear body measurements of
the 4 stains of chicken. Data generated was subjected to
multiple linear regression, allometry analysis and
prediction using SAS 9.2 (Version 2008). Result of
Prediction using multiple linear regression and allometry
functions fitted into body weight and linear body
measurements of the four breeds of local chickens in this
study from 4 to 16 weeks revealed that wing length, shank
length, shank circumference, drumstick length,
drumstick circumference, nose to shoulder length,
shoulder to tail length, body length, height at withers and
breast girth could be the best variables used to predict
body weight of frizzle feathered, naked neck, normal
feathered and noiler chickens.
Keywords :
Prediction, Allometry, Fitted, Function, Multiple, Regression, Strain
This study was carried out with 240 indigenous
day-old chickens comprising of mixed sex frizzle
feathered, naked neck, normal feathered and Noiler
raised to 16 weeks of age to predict the body weight of 4
stains of Nigerian local and improved chickens using
multiple linear regression and allometry function/model
fitted for body weight and linear body measurements of
the 4 stains of chicken. Data generated was subjected to
multiple linear regression, allometry analysis and
prediction using SAS 9.2 (Version 2008). Result of
Prediction using multiple linear regression and allometry
functions fitted into body weight and linear body
measurements of the four breeds of local chickens in this
study from 4 to 16 weeks revealed that wing length, shank
length, shank circumference, drumstick length,
drumstick circumference, nose to shoulder length,
shoulder to tail length, body length, height at withers and
breast girth could be the best variables used to predict
body weight of frizzle feathered, naked neck, normal
feathered and noiler chickens.
Keywords :
Prediction, Allometry, Fitted, Function, Multiple, Regression, Strain
