Comparison of regression methods and Shaeffer’s formula in prediction of Live Body Weight of Ganjam Goats

Linear regression and polynomial regression of order two and three were utilized to predict the live weight of Ganjam goats across five age groups using chest girth as predictor and their accuracies were compared with the prediction of weight made by Shaeffer’s formula. Live body weight of Ganjam g...

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Main Authors: DILLIP KUMAR KARNA, ADITYA PRASAD ACHARYA, BHABESH CHANDRA DAS, GANGADHAR NAYAK, M. R. DIBYADARSHINI
Format: Article
Language:English
Published: Indian Council of Agricultural Research 2022-03-01
Series:Indian Journal of Animal Sciences
Subjects:
Online Access:https://epubs.icar.org.in/index.php/IJAnS/article/view/108921
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author DILLIP KUMAR KARNA
ADITYA PRASAD ACHARYA
BHABESH CHANDRA DAS
GANGADHAR NAYAK
M. R. DIBYADARSHINI
author_facet DILLIP KUMAR KARNA
ADITYA PRASAD ACHARYA
BHABESH CHANDRA DAS
GANGADHAR NAYAK
M. R. DIBYADARSHINI
author_sort DILLIP KUMAR KARNA
collection DOAJ
description Linear regression and polynomial regression of order two and three were utilized to predict the live weight of Ganjam goats across five age groups using chest girth as predictor and their accuracies were compared with the prediction of weight made by Shaeffer’s formula. Live body weight of Ganjam goat recorded by electronic weighing balance was used as standard for calculating the error of prediction. The body weights of 1014 Ganjam goats (329 males and 685 females) were estimated by each technique during 2015 to 2017. Compared with electronic weighing scale, the body weight estimates in Ganjam goat exceeded in all age groups for Shaeffer’s formula whereas predicted body weight estimates by linear regression and second order polynomial regression were close to the live body weights. The estimates of linear regression and second order polynomial regression were significantly different from the electronic weighing scale for all age groups. The study concluded that polynomial regression of order two had better predictive value for live body weight of Ganjam goat, followed by third order polynomial regression, linear regression and Shaeffer’s formula, in order 
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spelling doaj.art-49e83df8010c407f9e30a3270f258cbd2023-02-08T11:27:03ZengIndian Council of Agricultural ResearchIndian Journal of Animal Sciences0367-83182394-33272022-03-0192610.56093/ijans.v92i6.108921Comparison of regression methods and Shaeffer’s formula in prediction of Live Body Weight of Ganjam GoatsDILLIP KUMAR KARNA0ADITYA PRASAD ACHARYA1BHABESH CHANDRA DAS2GANGADHAR NAYAK3M. R. DIBYADARSHINI 4Associate Professor, Dept. of Animal Breeding & Genetics, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar 751003Assistant Professor, Dept. of Veterinary Pathology, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar 751003Assistant Professor, Dept. of Animal Husbandry Extension, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar 751003Professor, Dept. of Animal Breeding & Genetics, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar 751003Research Fellow, AICRP on goat improvement, Department of Animal Breeding and Genetics,College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar751003 Linear regression and polynomial regression of order two and three were utilized to predict the live weight of Ganjam goats across five age groups using chest girth as predictor and their accuracies were compared with the prediction of weight made by Shaeffer’s formula. Live body weight of Ganjam goat recorded by electronic weighing balance was used as standard for calculating the error of prediction. The body weights of 1014 Ganjam goats (329 males and 685 females) were estimated by each technique during 2015 to 2017. Compared with electronic weighing scale, the body weight estimates in Ganjam goat exceeded in all age groups for Shaeffer’s formula whereas predicted body weight estimates by linear regression and second order polynomial regression were close to the live body weights. The estimates of linear regression and second order polynomial regression were significantly different from the electronic weighing scale for all age groups. The study concluded that polynomial regression of order two had better predictive value for live body weight of Ganjam goat, followed by third order polynomial regression, linear regression and Shaeffer’s formula, in order  https://epubs.icar.org.in/index.php/IJAnS/article/view/108921age groupschest girthGanjam goatlinear regressionpolynomial regressionShaeffer’s formula
spellingShingle DILLIP KUMAR KARNA
ADITYA PRASAD ACHARYA
BHABESH CHANDRA DAS
GANGADHAR NAYAK
M. R. DIBYADARSHINI
Comparison of regression methods and Shaeffer’s formula in prediction of Live Body Weight of Ganjam Goats
Indian Journal of Animal Sciences
age groups
chest girth
Ganjam goat
linear regression
polynomial regression
Shaeffer’s formula
title Comparison of regression methods and Shaeffer’s formula in prediction of Live Body Weight of Ganjam Goats
title_full Comparison of regression methods and Shaeffer’s formula in prediction of Live Body Weight of Ganjam Goats
title_fullStr Comparison of regression methods and Shaeffer’s formula in prediction of Live Body Weight of Ganjam Goats
title_full_unstemmed Comparison of regression methods and Shaeffer’s formula in prediction of Live Body Weight of Ganjam Goats
title_short Comparison of regression methods and Shaeffer’s formula in prediction of Live Body Weight of Ganjam Goats
title_sort comparison of regression methods and shaeffera€™s formula in prediction of live body weight of ganjam goats
topic age groups
chest girth
Ganjam goat
linear regression
polynomial regression
Shaeffer’s formula
url https://epubs.icar.org.in/index.php/IJAnS/article/view/108921
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