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. Find read and cite all the research you.
Prediction Of Body Weight And Other Linear Body Measurement
Correlation of bodyweight and linear body measurement. Used to establish the strength of linear relationship and association between the different lbms together with the bodyweight using the model. The phenotypic correlations of linear body measurements with adult body weight were quite varying in magnitude ranging from 003002 to 059008 table 1. Pdf data on bodyweight and linear body measurements lbms namely ear length el heart girth hg body length bl head to shoulder hs leg. Y i the second random variable of the ith lbm or body weight. X iy i x2 i y2 i where pearsons product moment correlation coefficient. 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.
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. Pearsons coefficient 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 boer goats was also derived. The relationship of bodyweight and linear body measurements were estimated by pearson correlation. This was done separately for the two sexes in cases of significant sex effect. Results table 1 summarises the average measurements obtained for the four traits studied. Simple linear regression analysis showed that body weights could be predicted.
All the values obtained for linear body measurements were higher in the male than. X i the first random variable of the ith lbm or body weight. The phenotypic correlations of bl bh hg pg hc and fl with abw were positive and significant ranging from 032004 to 059008. Genetic and phenotypic correlations.
Gallery of Correlation Of Bodyweight And Linear Body Measurement
