Principal Component Analysis of morphological traits of synthetic White Leghorn chicken
212 / 180
Keywords:
Breast angle, Morphological traits, Principal component analysis, Synthetic white leghorn strainAbstract
The aim of present study was to assess the relationship among morphological traits and identify the components that define body conformation in a synthetic White Leghorn strain using multivariate procedure principal component analysis. Data were collected from the records of synthetic White Leghorn strain maintained at Poultry Breeding Farm, LUVAS, Hisar. A total of 12 different morphological traits, viz. 40 week body weight, beak length, comb length, keel length, body length, breast girth, breast angle, radius-ulna length, shank length, shank circumference, back length and tail length were recorded and statistical analysis revealed the means for corresponding traits as 1972.65 g, 2.25 cm, 10.74 cm, 12.61 cm, 33.10 cm, 31.40 cm, 55.19 degree, 13.28 cm, 8.37 cm, 4.33 cm, 26.58 cm and 22.94 cm, respectively. Phenotypic correlations among considered body measurements were found to be positive and highly significant varying from 0.394 (breast angle-back length) to 0.965 (body length-back length). All body measurements taken into the study showed high correlation with 40 week body weight indicating the possible use of body measurements in predicting body weight in synthetic White Leghorn strain. The extracted single component explained 75.307% of the total variability in the original parameters and had high loadings for all the considered traits except breast angle. Communality estimates varied from 0.313 (breast angle) to 0.900 (body length) in present study. Further, low communality estimate for breast angle observed in this study indicated that breast angle is frail in elucidating the total variation in body measurements of synthetic White Leghorn strain.Downloads
References
th Livestock Census All India Report, DAHD & F. 2012. Ministry of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture, Government of India. www.dahd.nic.in.
th Livestock Census All India Report, DAHD & F. 2019. Ministry of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture, Government of India. www.dahd.nic.in.
Abdel-Lattif F H. 2019. The linear association between live body weight and some body measurements in some chicken strains. Plant Archives 19(1): 595–99.
Adeleke M A, Peters S O, Ozoje M O, Ikeobi C O, Bamgbose A M and Adebambo O A. 2011. Genetic parameter estimates for body weight and linear body measurements in pure and crossbred progenies of Nigerian indigenous chickens. Livestock Research for Rural Development 23(1). DOI: https://doi.org/10.1017/S2078633610000962
Ajayi F O, Ejiofor O and Ironkwe M O. 2008. Estimation of body weight from body measurements in two commercial meattype chicken. Global Journal of Agricultural Sciences 7(1): 57–59. DOI: https://doi.org/10.4314/gjass.v7i1.2361
Ajayi O O, Adeleke M A, Sanni M T, Yakubu A, Peters S O, Imumorin I G, Ozoje M O, Ikeobi C O N and Adebambo O A. 2012. Application of principal component and discriminant analyses to morpho-structural indices of indigenous and exotic chickens raised under intensive management system. Tropical Animal Health and Production 44(6): 1247–54. DOI: https://doi.org/10.1007/s11250-011-0065-1
Akporhuarho P O and Omoikhoje S O. 2017. Principal component analysis of body weight and biometric traits of F1 crossbred of exotic broilers × local chickens. Nigerian Journal of Science and Environment 15 (1): 94–103.
Bartlett M S. 1950. Tests of significance in factor analysis. British Journal of Psychology 3: 77–85. DOI: https://doi.org/10.1111/j.2044-8317.1950.tb00285.x
Bekele G, Kebede K and Ameha N. 2015. On-farm phenotypic characterization of indigenous chicken and their production system in Bench Maji Zone, South Western Ethiopia. Science Technology and Arts Research Journal 4: 68–73. DOI: https://doi.org/10.4314/star.v4i1.10
Ceballos P, Molina J, Franco A and Palacios B. 1989. Manual del Anillador. (ICONA – MAPA), (Madrid): 94–113.
Churchil R R, John L, Chacko B, Ezhil Praveena P and Anitha P. 2019. Genetic Analysis of Egg Production and Allied Characters in Two Long Term Selected Strains of White Leghorn. International Journal of Current Microbiology and Applied Sciences 8(3): 1669–78. DOI: https://doi.org/10.20546/ijcmas.2019.803.194
Delgado J V, Barba C, Camacho M E, Sereno F T P S, Martinez A and Vega-Pla J L. 2001. Characterization of domestic animals in Spain. Animal Genetic Resources Information 29: 7–18. DOI: https://doi.org/10.1017/S1014233900005162
Egena S S A, Ijaiya A, Ogah D M and Aya V E. 2014. Principal component analysis of body measurements in a population of indigenous Nigerian chickens raised under extensive management system. Slovak Journal of Animal Science 47(2): 77–82.
Francesch A, Villalba I and Cartana M. 2011. Methodology for morphological characterization of chicken and its application to compare Penedesenca and Empordanesa breeds. Animal Genetic Resources 48: 79–84. DOI: https://doi.org/10.1017/S2078633610000950
Johnson R A and Wichern D W. 1982. Applied Multivariate Statistical Analysis. Prentice-Hall, Inc., Englewood Cliffs, New Jersey, USA.
Kaiser H. 1960. The application of electronic computers to factor analysis. Educational and Psychological Measurement 20: 141–51. DOI: https://doi.org/10.1177/001316446002000116
Lanari M R, Taddeo H, Domingo E, Perez Centeno M and Gallo L. 2003. Phenotypic differentiation of Criollo goat population in Patagonia (Argentina). Archives Animal Breeding 46(4): 347–56. DOI: https://doi.org/10.5194/aab-46-347-2003
Maxwell A F. 1959. Statistical methods in factor analysis. Psychological Bulletin 56(1): 228–35. DOI: https://doi.org/10.1037/h0044101
Mueller S, Taddei L, Albiker D, Kreuzer M, Siegrist M, Messikommer R E and Gangnat I D M. 2019. Growth, carcass, and meat quality of 2 dual-purpose chickens and a layer hybrid grown for 67 or 84 D compared with slow-growing broilers. Journal of Applied Poultry Research. https://doi.org/10.1016/ j.japr.2019.10.005 DOI: https://doi.org/10.1016/j.japr.2019.10.005
Ogah D M, Alaga A A and Momoh M O. 2009. Principal component factor analysis of the morphostructural traits of Muscovy duck. International Journal of Poultry Science 8(11): 1100–03. DOI: https://doi.org/10.3923/ijps.2009.1100.1103
Pinto L F B, Packer I U, De Melo C M R, Ledur M C and Coutinho L L. 2006. Principal components analysis applied to performance and carcass traits in the chicken. Animal Research 55: 419–25. DOI: https://doi.org/10.1051/animres:2006022
Rosario M F, Silva M A N, Coelho A A P, Savino V J M and Pias C T S. 2008. Canonical discriminant analysis applied to broiler chicken performance. Animal Research 2(3): 419–24. DOI: https://doi.org/10.1017/S1751731107001012
Saikhom R, Sahoo A K, Taraphder S, Pan S, Sarkar U, Ghosh P R, Bhattacharya D and Baidya S. 2017. Principal component factor analysis of morphostructural traits of Haringhata black chickens. Indian Journal of Animal Health 56(2): 211–18.
Saikhom R, Sahoo A K, Taraphder S, Pan S, Sarkar U, Ghosh P R, Bhattacharya D and Baidya S. 2018. Principal component analysis of morphological traits of Haringhata Black chickens in an organized farm. Exploratory Animal and Medical Research 8(1): 64–68. DOI: https://doi.org/10.5455/ijlr.20170525085724
SPSS. 2007. Statistical Package for Social Sciences. SPSS Inc., 444 Michigan Avenue, Chicago, IL, USA.
Tomar A K, Poonia J S, Chaudhari M and Kumar P. 2015. Evaluation of production performance of some economic traits in White Leghorn birds. Haryana Veterinarian 54(1): 19–21.
Udeh I and Ogbu C C. 2011. Principal component analysis of body measurements in three strains of broiler chicken. Science World Journal 6(2): 11–14.
Yakubu A, Idahor K O and Agade Y I. 2009b. Using factor scores in multiple linear regression model for predicting the carcass weight of broiler chickens using body measurements. Revista UDO Agricola 9(4): 963–67.
Yakubu A, Kuje D and Okpeku M. 2009a. Principal components as measure of size and shape in Nigerian indigenous chickens. Thai Journal of Agricultural Science 42(3): 167–76.
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2021 The Indian Journal of Animal Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright of the articles published in The Indian Journal of Animal Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.