scholarly journals Canonical correlation analysis of body measurements and carcass traits of cross bred rabbit population

2012 ◽  
Vol 28 (4) ◽  
pp. 855-861 ◽  
Author(s):  
D.M. Ogah
Keyword(s):  
Correlation Analysis ◽  
Body Length ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Carcass Traits ◽  
Carcass Weight ◽  
Body Measurements ◽  
Slaughter Weight ◽  
Dressing Percentage ◽  
Criterion Variables

In this study, canonical correlation analysis was applied to estimate the relationship between body measurements and carcass traits of 28 male cross bred rabbits of about 12 weeks of age, reared under semi intensive system. Four body measurements, pre-slaughter weight (PSW) , body length (BL), chest circumference (CC), and ear length (EL) as predictor variable while dressing percentage ( DP) , hot carcass weight (HCW) and cold carcass weight (CCW) as criterion variables. Pre-slaughter weight and body length had significant (P<0.001) simple correlation coefficients with the carcass traits except for dressing percentage. The three canonical variate pairs ranged between .99 to .42 and only the first pair was significant (P<0.001). From the analysis pre-slaughter weight and body length can be regarded as the main factors as live measurement traits, while dressing percentage did not have pronounced effect on the emerged criterion variables.

scholarly journals Body weight, body measurements and slaughter characteristics of Madura cattle raised in Pamekasan District, East Java Province, Indonesia

2020 ◽  
Vol 21 (8) ◽  
Author(s):  
PENI WAHYU PRIHANDINI ◽  
DYAH MAHARANI ◽  
Sumadi Sumadi
Keyword(s):  
Body Weight ◽  
Body Length ◽  
The Body ◽  
Carcass Weight ◽  
Body Measurements ◽  
Mean Values ◽  
Slaughter Weight ◽  
Meat Weight ◽  
Chest Girth ◽  
Female Cattle

Abstract. Prihandini PW, Maharani D, Sumadi. 2020. Body weight, body measurements, and slaughter characteristics of Madura cattle raised in Pamekasan District, East Java Province, Indonesia. Biodiversitas 21: 3415-3421.  This study was designed to analyze the body weight, body measurements and slaughter characteristics of Madura cattle raised in Pamekasan district, East Java province, Indonesia. A total of 2,373 records on live body weight and body measurements (body length, height at withers and chest girth), and 69 records on slaughter traits (slaughter, carcass, and meat weight, as well as carcass and meat percentage) from both sexes were used. Sampled animals were divided into three groups based on age (calf: 0- to10-month-old; young: 11- to 24-month-old; adult: >24-month-old). The data were analyzed using independent sample t-test to assess significant differences between sex groups and subjected to multiple linear regression analyses to obtain prediction equations of body weight from body measurements, carcass weight from slaughter weight, and meat weight from slaughter- and carcass-weight. Results showed that body weight, height at withers, and chest girth between male and female cattle in all age groups were significantly different (P<0.05). Male cattle showed higher slaughter weight, carcass weight and carcass percentage mean values than female cattle. Body measurements showed high correlation with body weight (r ≥0.80). Height at withers, body length, and chest girth represented good body measurements to predict body weight (R2 = from 0.65 to 0.83). Moreover, as observed, high correlations between slaughter weight and carcass- (r = 0.94; R2 = 0.89) and meat-weight (r = 0.99; R2 = 0.98) would imply that meat weight could be predicted accurately from slaughter- and carcass-weight.

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Flow Volume ◽  
Non Linear ◽  
Maximum Expiratory Flow ◽  
Expiratory Flow ◽  
Relationship Of ◽  
The Relationship ◽  
Age And Sex

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.

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