X i the first random variable of the ith lbm or body weight. Data on bodyweight and linear body measurements lbms namely ear length el heart girth hg body length bl head to shoulder hs leg length ll and tail length tl of 178 chinchilla breed of rabbits at 3 6 and 8 weeks of age were analyzed to obtain the phenotypic correlation between the various lbms on one hand and lbms on bodyweight on the other.
Automated Body Weight Prediction Of Dairy Cows Using 3
Correlation of bodyweight and linear body measurement. However lower r 2 estimate 053 was reported by abdel moneim 2009b to predict hot carcass weight of egyptian lambs by using body length and withers height. Methods we used the data of 2635 japanese 402122 years at baseline and at 1 year follow up from a database of 13522 subjects which is available at the okayama southern institute of health in okayama prefecture japan. The relationship of bodyweight and linear body measurements were estimated by pearson correlation. The correlation relationships between the linear body measurements and live weight of goats showed that length of animal la girth circumference gc and neck circumference nc had highly positive significant p001 influences on weight while heights at rump hr and abdominal circumference ac had significant p005 influences on weight of the animals. Body weight and body measurements the live body weight and body measurements body length heart girth and height at wither are presented in table 1the average live body weight of male in the four age category 0ppi 1ppi 2ppi and 3ppi were noted to be 1392 26 1646 345 2079 376 and 2378 160. Results table 1 summarises the average measurements obtained for the four traits studied.
Of correlation showed positive high and significant correlation between body weight and linear body measurements and also among the body measurementsa simple linear regression equation with a high coefficient of determination r² 0948 using heart girth to predict body weight of. Coefficient of determination was improved to 070 by incorporating withers height into the prediction equation. We investigated the correlation between changes in body weight and body composition parameters. Y i the second random variable of the ith lbm or body weight. There were significant correlation p0001 between body weight and measured linear measurements hg r 0681 bd r 0669 rh r 0607 hawr 0571 bl r 0634 in the pooled group irrespective of sex or age. Find read and cite all the research you.
X iy i x2 i y2 i where pearsons product moment correlation coefficient. Pdf data on bodyweight and linear body measurements lbms namely ear length el heart girth hg body length bl head to shoulder hs leg. All the values obtained for linear body measurements were higher in the male than. Simple linear regression analysis showed that body weights could be predicted. This was done separately for the two sexes in cases of significant sex effect. Used to establish the strength of linear relationship and association between the different lbms together with the bodyweight using the model.
Gallery of Correlation Of Bodyweight And Linear Body Measurement
