Home|Journals|Articles by Year|Audio Abstracts RSS - TOC
 

Original Research



Relationship between the Growth Traits of Madras Red Sheep - An Empirical Analysis

Vinothkumar Govindasamy, Selvam Seetharaman, Serma Saravana Pandian Amaresan, Devendran Palaniappan, Mohamed Safiullah Abdul Hameed.




Abstract

An attempt was made in this study to estimate the relationship between body weight and body measurements of Madras Red sheep. The sample of the study consist of about 138 Madras red sheep under farm condition. Data pertaining to body weight and body measurements such as Withers height (WH), Body length (BL), Heart girth or chest girth (CG), and Paunch girth (PG) were taken. The results recorded from the body weight and body measurements were positively correlated and significant with each other except in 12 months. Chest girth had the highest correlation value between the body weight variable which was significant at all age groups and it will be the best to predict the body weight in correlations followed by Withers height. In the age of 6 months and 9 months only all the parameters were highly significant and highest R2 values among the equation. Paunch girth and body length which had been contribute low in body weight. From the regression equation 3 months age groups had the highest R2value of 74 per cent and 6 months age group which had the highest R2 value 92 per cent, whereas the 9 months of age R2 values was 87 per cent which were significant. For the 12 months age groups which R2 value was low value of 48 per cent. Among the four equations best predictor of body weight using body measurements can be between 6-9 months age and chest girth will be the best parameter to prediction of body weight accurately followed by withers height which can be inclusion with chest girth for best prediction body weight more accurately.
Keywords : Body weight, Body measurements, Madras Red sheep,Prediction, Correlation

Key words: Body Weight, Body Measurements, Prediction, Correlation






Full-text options


Share this Article



Online Article Submission
• ejmanager.com
• ojshosting.net




eJManager.com
Review(er)s Central
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.