Multivariate analysis of biometric traits and their shared variance in Chhattisgarhi buffalo

VIKAS VOHRA; MOHAN SINGH; RAMENDRA DAS; ALKA CHOPRA; R S KATARIA

doi:10.56093/ijans.v87i7.72255

Authors

VIKAS VOHRA ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India
MOHAN SINGH ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India
RAMENDRA DAS ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India
ALKA CHOPRA ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India
R S KATARIA ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India

https://doi.org/10.56093/ijans.v87i7.72255

Keywords:

Biometric traits, Buffalo, Morphology, PCA, Shared variance

Abstract

Principal component analysis (PCA) with a varimax rotation was applied to 18 highly inter-correlated body biometric traits in 157 adult female water buffalo from Chhattisgarh state of India to deduce the components that control body conformation, suitable for use in buffalo breeding, and to reveal the main sources of their shared variability. First principal component explained 34.47% of total variance in body biometric traits and can be used in the evaluation and comparison of body morphology in female water buffaloes using body height, neck circumference, rump width, leg length, paunch girth, chest girth and tail length. The shared variability due to common variance ranged from 92% (horn length) to 51% (rump length) whereas 8 to 49% of their variation was contributed by unique variance specific for each trait in Chhattisgarhi buffaloes.

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References

Ahmad N, Abdullah M, Javed K, Khalid M S, Babbar M E, Younas U and Nasrullah. 2013. Relationship between body measurements and milk production in Nili Ravi buffaloes maintained at commercial farms in peri-urban vicinity of Lahore. Buffalo Bulletin 32: 792–95.

Biedermann G and Schmucker F. 1989. Body measurements of thoroughbreds and their relationship with racing performance. Zuchtungskunde 61: 181–89.

Brown C J, Brown J E and Butts W T. 1973. Evaluating relationship among immature measures of size shape and performance of beef a bulls.II. The relationships between immature measures of size, shape and feedlot traits in young beef bulls. Journal of Animal Science 36: 1021–31. DOI: https://doi.org/10.2527/jas1973.3661021x

Brown C J, Brown J E and Butts W T. 1974. Evaluating relationship among immature measures of size, shape and performance of beef a bulls. IV. Regression models for predicting post weaning performance of young Hereford and Angus bulls using pre-weaning measures of size and shape. Journal of Animal Science 38: 12–19. DOI: https://doi.org/10.2527/jas1974.38112x

DAHD&F. 2013. Estimated livestock population breed wise based on breed survey. Department of Animal Husbandry, Dairying & Fisheries, Krishi Bhawan, New Delhi, India.

Dash S K, Sethi B P and Ray P C. 2009. Buffalo genetic resource of Orissa–Kalahandi. A Monograph. Orissa Livestock Resources Development Society and Orissa University of Agriculture and Technology.

FAO. 2012. Phenotypic characterization of animal genetic resources. FAO. Animal Production and Health Guidelines No.

Rome.

Fernandez G. 2002. Data mining using SAS application. Chapman & Hall/ CRC press, USA, pp. 367 DOI: https://doi.org/10.1201/9781420057331

Gilbert R P, Bailey D R C and Shannon N H. 1993. Linear body measurements of cattle before and after 20 years of selection for post weaning gain when fed two different diets. Journal of Animal Science 71: 1712–20. DOI: https://doi.org/10.2527/1993.7171712x

Harvey W R. 1987. Least-squares analysis of data with unequal sub-class numbers. ARS H-4, USDA, Washington, D.C.

Jakubec V, Scholte W, Jelinek J, Scholz A and Zalis N. 1999. Linear type trait analysis in the genetic resources of the old kladrub horse. Archiv fur Tierzucht 42: 215–24. DOI: https://doi.org/10.5194/aab-42-215-1999

Johnson R A and Wichern D W. 1982. Applied Multivariate Statistical Analysis. Prentice-Hall, Inc., Englewood Cliffs.

Kaiser Henry F. 1958. The varimax criterion for analytic rotation in factor analysis. Psychometrika 23(3): 187–200. DOI: https://doi.org/10.1007/BF02289233

Kataria R S, Sirothia A R, Mishra B P, Sadana D K, Fuke N H, Singh G and Singh P K. 2007. Buffalo genetic resource of India – Nagpuri. Monograph No.54. National Bureau of Animal Genetic Resources, Karnal.

Miserani M G, McManus C, Santos S A, Silva J A, Mariante A S, Abreu U G P, Mazza M C and Sereno J R B. 2002. Variance analysis for biometric measures of the pantanerio horses in Brazil. Archivos de Zootecnia 51: 113–20.

Mishra A K, Vohra V, Raja K N, Singh S and Singh Y. 2017. Principal component analysis of biometric traits to explain body conformation in Kajali sheep of Punjab, India. Indian Journal of Animal Sciences 87(1): 93–98.

Nivsarkar A E, Vij P K and Tantia M S. 2000. Animal genetic resources of India: Cattle and Buffalo. Directorate of Information and Publications of Agriculture, ICAR, New Delhi.

Pundir R K, Singh P K, Singh K P and Dangi P S. 2011. Factor analysis of biometric traits of Kankrej cows to explain body conformation. Asian Australasian Journal of Animal Science 24(4): 449–56. DOI: https://doi.org/10.5713/ajas.2011.10341

Sadek M H, Al-Aboud A Z and Ashmawy A A. 2006. Factor analysis of body measurements in Arabian horses. Journal of Animal Breeding and Genetics 123: 369–77. DOI: https://doi.org/10.1111/j.1439-0388.2006.00618.x

Salako A E. 2006. Principal component factor analysis of the morpho-structure of immature uda sheep. International Journal of Morphology 24(4): 571–74. DOI: https://doi.org/10.4067/S0717-95022006000500009

Shahin K A, Soliman A M and Moukhtar A E. 1993. Sources of shared variability for the Egyptian buffalo body shape (conformation). Livestock Production Science 36(4): 323–34. DOI: https://doi.org/10.1016/0301-6226(93)90049-N

Shahin K A, Soliman A M and Moukhtar A E. 1995. Sources of shared variability for the Egyptian cattle body shape (conformation). Indian Journal of Animal Science 65: 759– 64.

Simon D L and Buchenauer. 1993. Genetic diversity of European livestock breeds, Wageningen. The Netherlands, Hardback, 582 pp.

SPSS. 2001. Statistical Package for Social Sciences. SPSS Inc., Chicago.

Tolenkhomba T C, Singh N S and Konsam D S. 2013. Principal component analysis of body measurements of bulls of local cattle of Manipur India. Indian Journal of Animal Sciences 83(3): 281–84.

Vohra V, Niranjan S K, Mishra A K, Jamuna V, Chopra A, Sharma N and Jong D K. 2015. Phenotypic characterization and multivariate analysis to explain body confirmation in lesser known buffalo (Bubalus bubalis) from North India. Asian Australasian Journal of Animal Science 28: 311–17. DOI: https://doi.org/10.5713/ajas.14.0451

Yakubu A, Ogah D M and Idahor K O. 2009. Principal component of the morphostructural indices of White Fulani cattle. Trakia Journal of Science 7(2): 67–73.