Effect of Chick Quality on Viability, Performance Traits and Meat Quality Characteristics of Broiler Chickens

Yıl 2022, , 60 - 67, 30.12.2022

Doğan Narinç

https://doi.org/10.34233/jpr.1206202

Öz

The chick quality in broiler production is a major factor that has a direct impact on the profitability of both hatcheries and producers. In recent years, there has been considerable interest in the correlations between chick quality, which is measured by quantitative or qualitative methods, and yield characteristics. This study aims to compare the viability, performance traits, and meat quality characteristics of broiler chickens classified into two chick quality categories based on the Tona score method. In the study, broilers in the first-grade group had a lower mortality rate of 1.67%, while the average mortality rate of those with poor chick quality was 23.33% (P<0.05). There were no statistically significant correlations between post-hatch performance and chick quality characteristics such as Tona score, chick weight, chick length (all P>0.05). According to the Tona score, there were no differences between the mean values of body weight, feed efficiency, Gompertz growth curve parameters, slaughter carcass traits, and meat quality characteristics of first- and second-grade broiler chickens (all P>0.05). Although there is no difference between high and low quality chicks in terms of performance characteristics, it is possible that the use of low quality chicks in conventional broiler production will increase the general mortality of the flock. Due to their superior yield potential, it is recommended that low-quality chicks be utilized in more suitable production systems without culling, rather than in conventional broiler production.

Anahtar Kelimeler

Tona score, Mortality, Broiler production, Gompertz, Meat quality

Destekleyen Kurum

Faculty of Agriculture, Animal Production Facilities of Namık Kemal University, Tekirdağ, Türkiye.

Kaynakça

• Alkan, S, Narinç, D, Karslı, T, Karabağ, K., & Balcıoğlu, M. S. (2012). Effects of thermal manipulations during early and late embryogenesis on growth characteristics in Japanese quails (Coturnix cot. japonica). European Poultry Science, 76, 184–190.
• Boerjan, M. (2002). Programs for single stage incubation and chick quality. Avian and Poultry Biology Reviews, 13, 237-238.
• Decuypere, E., Tona, K., Bamelis, F., Careghi, C., Kemps, B., De Ketelaere, B., De Baerdemaker, J., & Bruggeman, V. (2002). Broiler breeders and egg factors interacting with incubation conditions for optimal hatchability and chick quality. European Poultry Science, 66, 56-57.
• Decuypere, E., & Bruggeman, V. (2007). The endocrine interface of environmental and egg factors affecting chick quality. Poultry Science, 86, 1037-1042.
• Demuner, L. F., Suckeveris, D., Muñoz, J. A., Caetano, V. C., Lima, C. G. D., Faria, D. E. D., & Faria, D. E. D. (2017). Adjustment of growth models in broiler chickens. Pesquisa Agropecuária Brasileira, 52, 1241-1252.
• Hill, D. (2001). Chick length uniformity profiles as a field measurement of chick quality. Avian Poultry Biology Reviews, 12, 188.
• Jiang, R. R., Zhao, G. P., Chen, J. L., Zheng, M. Q., Zhao, J. P., Li, P., Hu, J., & Wen, J. (2011). Effect of dietary supplemental nicotinic acid on growth performance, carcass characteristics and meat quality in three genotypes of chicken. Journal of Animal Physiology and Animal Nutrition, 95(2), 137-145.
• Koushandeh, A., Chamani, M., Yaghobfar, A., Sadeghi, A. A., & Baneh, H. (2019). Comparison of the accuracy of nonlinear models and artificial neural network in the performance prediction of Ross 308 broiler chickens. Poultry Science Journal, 7(2), 151-161.
• Lourens, A., Van den Brand, H., Meijerhof, R., & Kemp., B. (2005). Effect of eggshell temperature during incubation on embryo development, hatchability and posthatch development. Poultry Science, 84, 914-920.
• Mignon-Grasteau, S., Piles, M., Varona, L., De Rochambeau, H., Poivey, J. P., Blasco, A., & Beaumont, C. (2000). Genetic analysis of growth curve parameters for male and female chickens resulting from selection on shape of growth curve. Journal of Animal Science, 78(10), 2515-2524.
• Molenaar, R., Reijrink, I. A. M., Meijerhof, R., & Van den Brand, H. (2008). Relationship between hatchling length and weight on later productive performance in broilers. World's Poultry Science Journal, 64(4), 599-604.
• Molenaar, R., Reijrink, I. A. M., Meijerhof, R., & Van den Brand, H. (2008). Relationship between hatchling length and weight on later productive performance in broilers. World's Poultry Science Journal, 64(4), 599-604.
• Muhammad, M., Muhammad, L. U., Mani, A. U., & Ambali, A. G. (2009). A survey of chick mortality at hatching in three selected hatcheries in Jos, Central Nigeria. International Journal of Poultry Science, 8, 656–659.
• Mukhtar, N., Khan, S. H., & Anjum, M. S. (2013). Hatchling length is a potential chick quality parameter in meat type chickens. World's Poultry Science Journal, 69(4), 889-896.
• Narinç, D., Aksoy, T., İlaslan Çürek, D., & Karaman, E., 2007. Analyses of growth in broilers from different growth rate. Journal of Animal Research, 17:1–8.
• Narinç, D., Aksoy, T., Karaman, E., Aygun, A., Firat, M. Z., & Uslu, M. K. (2013). Japanese quail meat quality: Characteristics, heritabilities, and genetic correlations with some slaughter traits. Poultry Science, 92(7), 1735-1744.
• Narinç, D., Karaman, E., & Aksoy, T. (2014). Effects of slaughter age and mass selection on slaughter and carcass characteristics in 2 lines of Japanese quail. Poultry Science, 93(3), 762-769.
• Narinç, D., Narinç, N. Ö., & Aygün, A. (2017). Growth curve analyses in poultry science. World's Poultry Science Journal, 73(2), 395-408. Narinç, D., & Aydemir, E. (2021a). Chick quality: An overview of measurement techniques and influencing factors. World's Poultry Science Journal, 77(2), 313-329.
• Narinç, D., & Aydemir, E. (2021b). Genetic parameter estimates of chick quality, growth, and carcass characteristics in Japanese quail. Journal of the Hellenic Veterinary Medical Society, 72(4), 3363-3370.
• Narinç, D., & Genç, B. A. (2021). Genetic parameter estimates of fear, growth, and carcass characteristics in Japanese quail. Turkish Journal of Veterinary & Animal Sciences, 45(2), 272-280.
• Norris, D., Ngambi, J. W., Benyi, K., Makgahlele, M. L., Shimelis, H. A., & Nesamvuni, E. A. (2007). Analysis of growth curves of indigenous male Venda and Naked Neck chickens. South African Journal of Animal Science, 37(1), 21-26.
• Northcutt, J. K., Buhr, R. J., Young, L. L., Lyon, C. E., & Ware, G. O. (2001). Influence of age and postchill carcass aging duration on chicken breast fillet quality. Poultry Science, 80(6), 808-812.
• Nowak, B., Pawlina, E., Ilska, K., Mucha, A., & Kruszynski, W. (2019). Breeder line and age affects the occurrence of developmental defects, the number of culled one-day old broiler chicks and their body mass. Veterinární Medicína, 64(7), 323-333.
• Reijrink, I. A. M., Berghmans, D., Meijerhof, R., Kemp, B., & Van den Brand, H. (2010). Influence of egg storage time and preincubation warming profile on embryonic development, hatchability, and chick quality. Poultry Science, 89(6), 1225-1238.
• Roush, W. B., Dozier, W. A., & Branton, S. L. (2006). Comparison of Gompertz and neural network models of broiler growth. Poultry Science, 85(4), 794-797.
• Şekeroğlu, A., Tahtalı, Y., Sarıca, M., Gülay, M. Ş., Abacı, S. H., & Duman, M. (2013). Comparison of growth curves of broiler under different stocking densities by Gompertz model. The Journal of the Faculty of Veterinary Medicine, Kafkas University, 19, 669-672.
• Tona, K., Bamelis, F., De Ketelaere, B., Bruggeman, V., Moraes, V. M. B., Buyse, J., Onagbesan, O., & Decuypere, E. (2003). Effects of egg storage time on spread of hatch, chick quality, and chick juvenile growth. Poultry Science, 82(5), 736-741.
• Tona, K., Onagbesan, O. M., Jego, Y., Kamers, B., Decuypere, E., & Bruggeman, V. (2004a). Comparison of embryo physiological parameters during incubation, chick quality, and growth performance of three lines of broiler breeders differing in genetic composition and growth rate. Poultry Science, 83(3), 507-513.
• Tona, K., Onagbesan, O., De Ketelaere, B., Decuypere, E., & Bruggeman, V. (2004b). Effects of age of broiler breeders and egg storage on egg quality, hatchability, chick quality, chick weight, and chick posthatch growth to forty-two days. Journal of Applied Poultry Research, 13(1), 10-18.
• Tona, K., Bruggeman, V., Onagbesan, O., Bamelis, F., Gbeassor, M., Mertens, K., & Decuypere, E. (2005a). Day-old chick quality: Relationship to hatching egg quality, adequate incubation practice and prediction of broiler performance. Avian and Poultry Biology Reviews, 16, 109-119.
• Tona, K., Bruggeman, V., Onagbesan, O., Bamelis, F., Gbeassor, M., Mertens, K., & Decuypere, E. (2005b). Day-old chick quality: Relationship to hatching egg quality, adequate incubation practice and prediction of broiler performance. Avian and Poultry Biology Reviews, 16(2), 109-119.
• Topal, M., & Bölükbaşı, Ş. C. (2008). Comparison of nonlinear growth curve models in broiler chickens. Journal of Applied Animal Research, 34(2), 149-152.
• Van de Ven, L. J. F., Van Wagenberg, A. V., Uitdehaag, K. A., Koerkamp, P. G., Kemp, B., & Van den Brand, H. (2012). Significance of chick quality score in broiler production. Animal, 6(10), 1677-1683.
• Willemsen, H., Everaert, N., Witters, A., De Smit, L., Debonne, M., Verschuere, F., Garain, P., Berckmans, D., Decuypere, E., & Bruggeman, V. (2008). Critical assessment of chick quality measurements as an indicator of posthatch performance. Poultry Science, 87(11), 2358-2366.
• Wolanski, N. J., Renema, R. A., Robinson, F. E., Carney, V. L., & Fancher, B. I. (2006). Relationship between chick conformation and quality measures with early growth traits in males of eight selected pure or commercial broiler breeder strains. Poultry Science, 85(8), 1490-1497.