Principal Component Analysis of Morphological Traits in Udaipuri Goats in Uttarakhand, India

Olympica Sarma *

Department of Animal Genetics & Breeding, G B Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.

R S Barwal

Department of Animal Genetics & Breeding, G B Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.

C V Singh

Department of Animal Genetics & Breeding, G B Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.

*Author to whom correspondence should be addressed.


Abstract

Aims: To study the principal component analysis (PCA) of morphological traits in Udaipuri goats.

Place and Duration of Study: Pauri, Garhwal, Uttarakhand, India.

Methodology: Eight traits were measured in 407 adult (doe) and (buck) goats over a period of 2021-2022. The traits considered in the study were Horn Length (HL), Face length (FL), Ear Length (EL), Height at Withers (HW), Body Length (BL), Chest Girth (CG), Tail Length (TL) and Body Weight (BW). The data were analyzed for the estimation of mean, coefficient of variation (CV %), phenotypic correlation and PCA by using the software SPSS version 24.

Results: The descriptive statistics including the mean and CV % were estimated which revealed the lowest average and the highest average for horn length and chest girth, respectively. The horn length and ear length showed the highest and lowest CV %, respectively, and the phenotypic correlations were significant (P<0.01) for all the characters included in the study. Principal component analysis (PCA) with varimax rotation method was applied and extracted a total variation of 66.01%. In all adult males and females, HL, HW, BL and CG were loaded as first component while FH, EL, TL and BW were loaded as second component.

Conclusion: Therefore, these findings indicated that PCA could serve as a valuable tool in breeding programmes, allowing for a significant reduction in the number of traits while still effectively capturing morphometric trends in Udaipuri goats.

Keywords: Morphological traits, PCA, udaipuri goat, variation


How to Cite

Sarma, Olympica, R S Barwal, and C V Singh. 2024. “Principal Component Analysis of Morphological Traits in Udaipuri Goats in Uttarakhand, India”. Annual Research & Review in Biology 39 (7):12-20. https://doi.org/10.9734/arrb/2024/v39i72094.

Downloads

Download data is not yet available.

References

Jamssems S, Vandepitte W. Genetic parameters for body measurements and linear type traits in Belgian Blue du Maine, Suffolk and Texel sheep. Small Ruminant Research. 2004;54(1):13-24.

Yunusa AJ, Salako AE, Oladejo OA. Principal component analysis of the morphostructure of Uda and Balami sheep of Nigeria.International Research Journal of Agriculture Sciences. 2013;1(3):45-51.

AL-Ramamneh D. Thermoregulation in sheep and goats: A review. AJOB. 2023, Feb. 8;17(1):34-42.[cited 2024 May 29]

Available:https://journalajob.com/index.php/AJOB/article/view/315

Mekonnen T, Tesfahun S, Araya M. Exterior body characteristics of indigenous sheep populations in Western Zone of Tigray Region, Ethiopia. Asian J. Res. Animal Vet. Sci. 2024, Apr. 24;7(2):134-49. [cited 2024 May 29]

Available:https://journalajravs.com/index.php/AJRAVS/article/view/293

Rather MA, Hamdani A, Ayaz A, Shanaz S, Mir SA, Nabi N. Morphological, phenotypic, performance traits of nondescript goats in Budgam district of Kashmir. Ruminant Science. 2020, Jun;8(2):137-40.

Salako AE. Application of morphological indices in the assessment of type and function in sheep. International Journal of Morphology. 2006;24(8):13.

Delgado JV, Barba C,Camacho ME,Sereno FTPS, Martinez A, Vega-Pla JL. Livestock characterization in Spain. Animal Genetic Resources Information. 2001;29:7-18.

Brown CJ, Brown JE, Butts WT. 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 Sciences. 1973;36:1021.

Brown CJ, Brown JE and Butts WT. 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 preweaning measures of size and shape. Journal of Animal Sciences.1974;38: 12.

Pundir RK, Singh PK, Singh KP, Dangi PS. Factor analysis of biometric traits of Kankrej cows to explain body conformation. Asian-Australasian Journal of Animal Sciences. 2011;24(4):449-456.

Snedecor GW, Cochran WG. Statistical method. Seventh edition. The Iowa State University Press, Ames, Iowa, U.S.A; 1980.

SPSS. Computer Software 17.0 SPSS inc., Chicago, Illinois-60606, USA; 2008.

Bartlett MS. Tests of significance in factor analysis, The British Journal of Psychology. 1950;77-85.

Maxwell AF. Statistical methods in factor analysis. Psychological Bulletin. 1959; 56(1):228–235.

Johnson RA, Wichern DW. Applied Multivariate Statistical Analysis. USA: Prentice-hall Inc; 1982.

Everitt BS, Landau S, Leese M.Cluster analysis. 4th edn., Arnold Publisher, London; 2001.

Khargharia G, Kadirvel G, Kumar S, Doley S, Bharti PK, Das M. Principal component analysis of morphological traits of Assam Hill goat in Eastern Himalayan India.JAPS: Journal of Animal & Plant Sciences.2015;25(5):1251-1258.

Mokoena K, Tyasi TL. Morphological structure of South African Boer goats explained by principal component analysis.Veterinaria. 2021;70(3):325-334.

Valsalan J, Sadan T, Venketachalapathy T. Multivariate principal component analysis to evaluate growth performances in Malabari goats of India.Tropical Animal Health and Production. 2020;52:2451-2460.

Tyasi TL, Tada O. Principal component analysis of morphometric traits and body indices in South African Kalahari Red goats.South African Journal of Animal Science. 2023;53(1):28-37.

Fernandez G. Data Mining using SAS Application. USA: Chapman and Hall, CRC press;2002.

Mavule BS, Muchenje V, Bezuidenhout CC, Kunene NW. Morphological structure of Zulu sheep based on principal component analysis of body measurements. Small Ruminant Research. 2013;111:23-30.