Comparison of regression methods and Shaefferâ€™s formula in prediction of  Live Body Weight of Ganjam Goats

DILLIP KUMAR KARNA; ADITYA PRASAD ACHARYA; BHABESH CHANDRA DAS; GANGADHAR NAYAK; M. R. DIBYADARSHINI

doi:10.56093/ijans.v92i6.108921

Authors

DILLIP KUMAR KARNA Associate Professor, Dept. of Animal Breeding & Genetics, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar 751003
ADITYA PRASAD ACHARYA Assistant Professor, Dept. of Veterinary Pathology, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar 751003
BHABESH CHANDRA DAS Assistant Professor, Dept. of Animal Husbandry Extension, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar 751003
GANGADHAR NAYAK Professor, Dept. of Animal Breeding & Genetics, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar 751003
M. R. DIBYADARSHINI Research 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

https://doi.org/10.56093/ijans.v92i6.108921

Keywords:

age groups, chest girth, Ganjam goat, linear regression, polynomial regression, Shaefferâ€™s formula

Abstract

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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Author Biography

DILLIP KUMAR KARNA, Associate Professor, Dept. of Animal Breeding & Genetics, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar 751003

Researcher

References

Afolayan R A, Adeyinka I A and Lakpini C A M. 2006. The estimation of live weight from body measurements in Yankasa sheep. Czech Journal of Animal Science 51(8): 343–48.

Alex R, Raghavan K C and Mercey K A. 2010. Prediction of body weight of Malabari goats from body measurements under field conditions, Journal of Veterinary and Animal Science 41: 21–27.

Atta S , Okubanjo A O, Omojola A B and Adesehinwa A O K. 2004. Body and carcass linear measurements of goats

slaughtered at different weights. Livestock Research for Rural Development 16(8): 160–72.

Berhe W G. 2017. Relationship and prediction of body weight from morphometric traits in Maefur goat population in Tigray, northern Ethiopia, Journal of Biometrics and Biostatistics 8(5): 370–76.

Chinchilla-Vargas J, Woodward-Greene M J, Van-Tassell C P, Wandui-Masiga C and Rothschild M F. 2018. Predicting

live weight of rural African goats using body measurements. Livestock Research for Rural Development Volume 30, Article #123. Retrieved August 9, 2019. http://www.lrrd.org/lrrd30/7/ josue30123.html Dereje T, Berhanu B and Aynalem H. 2013. Morphological characterization of indigenous Hararghe highland goat breed in their native environment, West Hararghe, Ethiopia. American- Eurasian Journal of Scientific Research 8(2): 72–79.

Hopker A, MacKay J, Pandey N, Hopker S, Saikia R, Pegu B, Saikia D, Minor M, Goswami J, Marsland R and Sargison N. 2019. Weight estimation in native crossbred Assamese goats. Livestock Research for Rural Development Volume 31,

Article #162. Retrieved December 7, 2020, from http://www. lrrd.org/lrrd31/10/ahopk31162.html Jagdale V Y, hombre B M and Chauhan D S. 2018. Studies on linear body measurements of khillar calves in the breeding tract of Maharashtra. International Journal of Chemical Studies 6(4): 3087–95.

Karna D K, Acharya A P, Das B C, Nayak G D and Dibyadarshini M R. 2020. Morphometry of Ganjam goats of Odisha

and age specific body weight prediction from linear body measurements. Pharma Innovation Journal SP-9(4): 171–75. Khan H, Zamin S, Rind M M, Rind R and Riaz M. 2003. Use of Shaeffer`s formula for the prediction of body weight

of slaughtering cattle. Journal of Animal and Veterinary Advances 2: 176–78.

Kuhn M and Wickham H. 2019. Tidymodels: Easily install and load the ’tidymodels’ packages. Retrieved from https://

CRAN.R-project.org/package=tidymodels Mahmud M A, Shaba P and Zubairu U Y. 2014. Live body weight estimation in small ruminants-A review. Global Journal of Animal Scientific Research 2(2): 102–08.

Mayaka T B, Tchoumboue J, Manjeli Y and Teguia A. 1995. Estimation of live body weight in West African Dwarf goats

from heart girth measurement. Tropical Animal Health and Production 28: 126–28.

Moaeen-Ud-Din M, Waheed H, Bilal G, Reecy J and Khan M. 2018. Estimation of Beetal goat live-weight for all types

of age classes infield and farm conditions through linear body measurements. Journal of Animal Science 96 (Suppl 3):

–54.

Raja T V, Venkatachalapathy R T, Kannan A and Bindu K A. 2015.Determination of best-fitted regression model for prediction of body weight in Attappady black goats. International Journal of Agricultural Sciences 5(3): 423–57.

Sam I, Ekpo J, Ukpanah U, Eyoh G and Warrie M. 2016. Relationship between linear body measurement and live body

weight in west African dwarf goats in ObioAkpa. Journal of Biology, Agriculture and Healthcare 16(6): 118–24.

Sastry N S R, Thomas C K and Sing R A. 1983. Shaeffer’s formula for body weight of cattle. Farm Animal Management

and Poultry Production. 5th edition. Vikas Publishing House, New Delhi, India. Slippers S C, Letty B A and de Villiers J F. 2000. Prediction of the body weight of Nguni goats. South African Journal of Animal Science 30(1): 127–28.

Suranagi M D, Shettar V B and BiradarU S. 2005. Prediction equation for body weight in Bidri goats. Karnataka Journal of Agricultural Sciences 18(3): 773–76.

Thiruvenkadan A K. 2005. Determination of best-fitted regression model for estimation of body weight in Kanni Adu kids under farmer’s management system. Livestock Research for Rural Development 17(7): 76–87.

Topal M and Boulkbasi S C. 2008. Comparison of non-linear growth curve models in broiler chickens. Journal of Applied Animal Research 34: 149–52.

Vanvanhossou S F U, Diogo R V C and Dossa L H. 2018. Estimation of live bodyweight from linear body measurements and body condition score in the West African Savannah Shorthorn cattle in North-West Benin. Cogent Food and Agriculture 4(1): 1549767.

Wagh R U, Thombre B M and Shinde A T.2019. Studies on linear body measurements of gaolao calves in the breeding tract of Maharashtra. Indian Journal of Animal Research 53(8): 1109–12.

Wangchuk K, Wangdi J and Mindu M. 2017. Comparison and reliability of techniques to estimate live cattle body weight. Journal of Applied Animal Research DOI: 10.1080/09712119.2017.1302876