Comparative Multivariate Analysis of Body Weight and Morphometric Traits in Three Strains of Broiler Chickens
DOI:
https://doi.org/10.57038/usjas.v9i1.7394Keywords:
Broilers strain, Body weight, Canonical discriminant analysis,, Linear body measurements, Prediction, Principal components Analysis.Abstract
This study evaluates the linear body measurements in three strains of broiler chickens; Arbor Acre, Cobb500 and Ross308. Data were collected on body weight and linear body measurements, including body length, chest girth, thigh length, shank length, wing length, and keel length and subjected to statistical analysis to identify the traits that could best describe and discriminate the broiler strains. Cobb 300 exhibited significantly (P<0.05) highest body weight (1934.50 g) compared to ArborAcre (1771.85 g) and Ross308 (1771.43 g). Body length and chest girth showed the highest correlations with body weight in Cobb 300 and Ross308 strains while body length is the most significant predictor of body weight for the three strains of broilers. Canonical discriminant analysis revealed that body length and shank circumference were critical for differentiating the three strains. The study highlights the importance of selecting for body size-related traits to improve growth performance in broiler chickens.
References
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Rotimi, E.A., Ajayi, B.A., & Adeoye, A.A. (2024). Morphobiometric characterization of donkey resources in Katsina state. Agricultural Sciences, 16(42), 54-65. DOI: 10.22620/agrisci.2024.42.008.
Salako, A. E. (2006). Principal component factor analysis of the morph structure of immature Uda sheep. International Journal of Morphology, 24(4), 571–574.
Tyasi, T. L., Zhang, X., Qin, Y., & Chen, J. (2024). Application of multivariate techniques in animal science research. Animals, 14(3), 456. https://doi.org/10.3390/ani14030456
Udeh, I., & Ogbu, C. I. (2011). Principal component analysis of body measurements in three strains of broiler chicken. Science World Journal, 6(2), 11–14.
Yakubu, A., Ayoade, J. A., & Egena, S. S. A. (2009). Application of principal component and discriminant analyses to morphostructural indices of indigenous Nigerian chickens. Archives of Animal Breeding, 52(1), 48–55. https://doi.org/10.5194/aab-52-48-2009
Yakubu, A., Idahor, K. O., & Agade, Y. I. (2009). Using factor scores in multiple linear regression model for predicting the carcass weight of broiler chickens using body measurements. Revista UDO Agricola, 9(4), 963–967.
Yakubu, A., Kuje, D., & Okpeku, M. (2009a). Principal components as measures of size and shape in Nigerian indigenous chickens. Thai Journal of Agricultural Science, 42(3), 167–176.
Yakubu, A., Kuje, D., & Okpeku, M. (2009b). Principal components as measures of size and shape in Nigerian indigenous chickens. Thai Journal of Agricultural Science, 42(3), 167–176.
Abdullah, Y. A., Al-Beitawi, N. A., Rjoup, M. M. S., Qudsieh, R. I., & Ishmais, M. A. A. (2010). Growth performance, carcass, and meat quality characteristics of different commercial Ross308 broiler strains of chickens. Journal of Poultry Science, 47, 13–21.
Ajayi, F. O., Ejiofor, O., & Ironkwe, M. O. (2008). Estimation of body weight from body measurements in two commercial meat-type chickens. Global Journal of Agricultural Science, 7(1), 57–59.
Akanno, E. C., Ole, P. K., Okoli, I. C., & Ogundu, U. E. (2007). Performance characteristics and prediction of body weight of broiler strains using linear body measurements. In Proceedings of the 22nd Annual Conference of the Nigerian Society for Animal Production (pp. 162–164).
Bila, L., Tyasi, T., Tongwane, T., & Mulaudzi, A. (2021). Correlation and path analysis of body weight and biometric traits of Ross308 breed of broiler chickens. Journal of World’s Poultry Research, 11. https://doi.org/10.36380/jwpr.2021.41.
Everitt, B. S., Landau, S., & Leese, M. (2001). Cluster analysis (4th ed.). Arnold Publisher.
Eyduran, E., Topal, M., & Sonmez, A. Y. (2010). Use of factor scores in multiple regression analysis for estimation of body weight by several body measurements in brown trouts (Salmo trutta fario). International Journal of Agriculture & Biology, 12, 611–615.
Ibiwoye, D. I., & Sola-Ojo, F. E. (2021). Multivariate analysis of four strains of broiler chickens at four weeks of age. Genetics and Biodiversity Journal, 5(2), 44–53. https://ojs.univ-tlemcen.dz/index.php/GABJ
IBM Corp. (2011). IBM SPSS Statistics for Windows (Version 20.0). IBM Corp.
Ikpeme, E. V., Kooffreh, M. E., Udensi, O. U., Ekerette, E. E., Ashishie, L. A., & Ozoje, M. O. (2016). Multivariate-based genetic diversity analysis of three genotypes of Nigerian local chickens (Gallus domestica). International Journal of Science and Research Methodology, 5(2), 1–12.
Isaac, U. C., Igbokwe, C. A., Okafor, N. J., Aniemena, C. F., Albert, J. C., & Nwachukwu, B. C. (2022). Repeatability of growth traits in three strains of broiler chicken. Malaysian Animal Husbandry Journal, 2, 29–33.
Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151.
Liswaniso, S., Mweni, M. W., Moono, M. B., Nambeye, E., Tyasi, T. L., Mufungwe, J., Chimbaka, I. M., & Harrison, S. (2024). Assessment of phenotypic diversity and morphometry of indigenous chickens in Kabwe District, Zambia. World Journal of Advanced Research and Reviews, 24(2), 631–638. https://doi.org/10.30574/wjarr.2024.24.2.3278
Mendes, M. (2009). Multiple linear regression models based on principal component scores to predict slaughter weight of broilers. Archiv Fur Geflugelkunde, 73(2), 139–144.
Mendes, M. (2011). Multivariate multiple regression analysis based on principal component scores to study the relationship between some pre- and post-slaughter traits of broilers. Journal of Agricultural Science (Tarim Bilimleri Dergisi), 17, 77–83.
Merck Veterinary Manual (MVM). (2016). Merck Veterinary Manual (11th ed.). Elsevier.
Ogah, D. M., Alaga, A. A., & Momoh, M. O. (2009). Principal component factor analysis of the morph structural traits of Muscovy duck. International Journal of Poultry Science, 8(11), 1100–1103.
Pinto, L. F. B., Packer, I. U., De Melo, C. M. R., Ledur, M. C., & Coutinho, L. L. (2006). Principal components analysis applied to performance and carcass traits in the chicken. Animal Research, 55, 419–425.
Rotimi, E. A. (2024). Application of path analysis to morphological characterization of camels in Katsina State, Nigeria. The Indian Journal of Animal Sciences, 94(12), 1090-1095. doi.org/10.56093/ijans.v94i12.156165.
Rotimi, E. A., & Ati, M. H. (2020). Use of discriminant analysis method to identify sex by morphological traits in adult rabbits in Nigeria. Agricultura Tropica et Subtropica, 53(4), 183–186. https://doi.org/10.2478/ats-2020-0018
Rotimi, E. A., Aruwayo, A., Garba, M.G. & Lamido, M. (2024). Assessment of morphometric traits of camels using principal component analysis. Journal of Biometry Studies, 4(2), 73-78. doi.org/10.61326/jofbs.v4i2.03.
Rotimi, E.A., Ajayi, B.A., & Adeoye, A.A. (2024). Morphobiometric characterization of donkey resources in Katsina state. Agricultural Sciences, 16(42), 54-65. DOI: 10.22620/agrisci.2024.42.008.
Salako, A. E. (2006). Principal component factor analysis of the morph structure of immature Uda sheep. International Journal of Morphology, 24(4), 571–574.
Tyasi, T. L., Zhang, X., Qin, Y., & Chen, J. (2024). Application of multivariate techniques in animal science research. Animals, 14(3), 456. https://doi.org/10.3390/ani14030456
Udeh, I., & Ogbu, C. I. (2011). Principal component analysis of body measurements in three strains of broiler chicken. Science World Journal, 6(2), 11–14.
Yakubu, A., Ayoade, J. A., & Egena, S. S. A. (2009). Application of principal component and discriminant analyses to morphostructural indices of indigenous Nigerian chickens. Archives of Animal Breeding, 52(1), 48–55. https://doi.org/10.5194/aab-52-48-2009
Yakubu, A., Idahor, K. O., & Agade, Y. I. (2009). Using factor scores in multiple linear regression model for predicting the carcass weight of broiler chickens using body measurements. Revista UDO Agricola, 9(4), 963–967.
Yakubu, A., Kuje, D., & Okpeku, M. (2009a). Principal components as measures of size and shape in Nigerian indigenous chickens. Thai Journal of Agricultural Science, 42(3), 167–176.
Yakubu, A., Kuje, D., & Okpeku, M. (2009b). Principal components as measures of size and shape in Nigerian indigenous chickens. Thai Journal of Agricultural Science, 42(3), 167–176.
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2025-07-24
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