UC Isaac¹*, OM Ejivade¹, J Ezea² and RJ Nosike²

¹Department of Animal Science and Technology, Faculty of Agriculture, Nnamdi Azikiwe University, Awka, Nigeria
²Department of Animal Breeding and Physiology, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria

*Corresponding Author: UC Isaac, Department of Animal Science and Technology, Faculty of Agriculture, Nnamdi Azikiwe University, Awka, Nigeria.

Received: July 20, 2023; Published: July 28, 2023

Abstract

Allometric growth equations were obtained from log-linear regressions of log transformed data for shank length, drumstick length, body width and keel length as response variables and body weight as a predictor variable. Data were collected from Isa Brown × frizzled feathered (IB × F), Isa Brown × naked neck (IB × Na), Isa Brown × normal feathered (IB × N), frizzle feathered × Isa Brown (F × IB), naked neck × Isa Brown (Na × IB) and normal feathered × Isa Brown (N × IB) chicken genotypes at 2-10 (for mixed sexes) and 12-20 (for separate sexes) weeks growing phases on biweekly basis. Analysis of pooled data at 2-10 weeks indicated the occurrence of isometric growth of the shank in all genotypes, drumstick in Na x IB and N x IB, body width in all genotypes except Na x IB and keel in N x IB only. There was allometric growth of all linear traits relative to body weight in males and females of any genotype at the 12-20 weeks growing phase, although the rate of relative growth was higher in males than females. The results indicated that selection for improvement of body size based on relative growth response could be achieved with the linear structural components, especially shank length at 2-10 weeks growing phase, while improvement of specific body parts regardless of sex would be effective at 12-20 weeks growing phase in any of the genotypes studied.

Keywords: Log Transformation; Non-Linear Regression; Relative Growth; Body Weight; Linear Structural Components

References

1. Alkan S., et al. “Allometric growth of body components in 11 generations selected Japanese quails of different lines”. Archives Geflügelk1 (2011): 13-19.
2. Ajayi FO., et al. “Estimation of body weight from linear body measurements in two commercial meat-type chicken”. Global Journal of Agricultural Sciences 1 (2008): 57-59.
3. Gruber L., et al. “Body weight prediction using body size measurements in Fleckvieh, Holstein, and Brown Swiss dairy cows in lactation and dry periods”. Archives Animal Breeding4 (2018): 413-423.
4. Ibe SN and Nwakalor LN. “Growth patterns and conformation in Broilers: Influence of genotype and Management on isometry of growth”. Poultry Science 66 (1987): 1247-1252.
5. Cardoso RCF and Negreiris-Fransozo ML. “A comparison of the allometric growth in a Uca leotodactyla (Crustacea: Brachyuran: Ocypodidae) from two subtropical estuaries”. Journal of Marine Biological Association U. K 84 (2004): 733-735.
6. Olawumi S and Farinnako A. “Evaluation of the relationship between body weight and linear measurements in West African Dwarf Goat as influenced by sex and Agrovegetational zone”. Science International 2 (2017): 63-67.
7. Worku A. “Body weight had highest correlation coefficient with heart girth around the chest under the same farmers feeding condition for Arsi Bale sheep”. International Journal of Agricultural Science and Food Technology (2019).
8. , et al. “Estimation of body weight from morphometric traits in three chicken strains using linear and quadratic models”. International Journal of Agriculture and Rural Development 22.1 (2019): 4012-4018.
9. Xu B., et al. “Water”. 15.4 (2023): 4824.
10. Isaac UC. “Phenotypic, genetic and environmental correlations between body weight and linear body traits of chicken genotypes”. Agrobiological Records 4 (2020): 32-43.
11. Cock AG. “Genetic studies on growth and form in fowl. 1. Phenotypic variation in the relative growth pattern is shank length and body weight”. Genetic Resources 4 (1963): 167-192.
12. Ojedapo LO., et al. “Prediction of body weight and other linear body measurements of two commercial layer strain chickens”. Asian Journal of Animal Sciences 1 (2012): 13-22.
13. Sadick AM., et al. “Relationship between body weight and linear body measurements in the Cobb broiler chicken”. World Journal of Biology, Pharmacy and the Health Sciences 02 (2020): 001-006.
14. 14.   Kabir M., et al. “Heritability estimates and the interrelationships of body weight and shank length in Rhode Island Red and White Chickens”. Pakistan Journal of Biological Sciences 9.15 (2006): 2892-2896.
15. Nwaogwugwu UC., et al. “Evaluation of egg quality traits of local chickens in humid tropical environment of Umudike, South-East, Nigeria”. Animal Production Research Advances 3 (2009): 183-188.
16. , et al. “Heritability of body weight and linear body measurements of Isa Brown x local chicken genotypes”. International Journal of Agriculture, Environment and Bioscience 8.2 (2023): 90-102.

17.   Isaac UC and Obike MO. “Phenotypic Correlations between Body Weight and Egg Production Traits of Local Chicken Genotypes in Humid Tropical Rain Forest of Umudike”. International Journal of Agriculture and Biosciences 9.3 (2020): 128-133.

18. Rajkumar U., et al. “Genetic and phenotypic response in Vanaraja male line chicken under short term selection experiment”. Indian Journal of Animal Science 11 (2016): 1287-1290.
19. Yahaya HK., et al. “Correlation between body weight and body conformation of two broiler stains under the same dietary treatment”. International Journal of Animal and Veterinary Advances3 (2012): 181-183.
20. Mehlum H., et al. “Growth with age-dependent preferences”. The Journal of International Trade and Economic Development 6 (2020): 665-676.
21. John-Jaja SA., et al. “Effects of age variance in repeatability estimates of egg dimension of Bovan Nera Black laying chickens”. Journal of Genetic Engineering and Biotechnology 1 (2016): 219-226.v
22. Hecht L. “Correlation between body weight and body conformation of two broiler strain under the same dietary treatment”. International Journal of Animal and Veterinary Advances 3 (2021): 181-183.
23. Zuidhof MI., et al. “Growth, efficiency, and yield of commercial broilers from 1957, 1978 and 2005”. Poultry Science 12 (2014): 2970-2987.
24. Teather KL and Weatherhead PJ. “Allometry, adaptation, and the growth and development of sexually dimorphic birds”. OIKOS 3 (1994): 515-525.
25. Yakubu A. “Discriminant analysis of sexual dimorphism in morphological traits of African Muscovy ducks”. Archivos de zootecnia 232 (2011): 1115-2223.
26. Narinc D., et al. “Analysis of fitting growth models in medium growing chicken raised indoor system”. Trends in Animal and Veterinary Sciences 1 (2010): 12-18.

Citation

Citation: UC Isaac., et al. “Allometric Growth Models for Improvement of Size and Conformation in Crossbred Chickens".Acta Scientific Veterinary Sciences 5.8 (2023): 78-84.

Copyright

Copyright: © 2023 UC Isaac., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.