Articles | Volume 68, issue 2
https://doi.org/10.5194/aab-68-365-2025
https://doi.org/10.5194/aab-68-365-2025
Original study
 | 
02 Jun 2025
Original study |  | 02 Jun 2025

Prediction of internal egg quality traits of Potchefstroom Koekoek and Lohmann Brown layers using classification and regression tree method

Victoria Rankotsane Hlokoe, Thobela Louis Tyasi, and Vusi Gordon Mbazima

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Cited articles

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Alkan, S., Galiç, A., Karsli, T., and Karabağ, K.: Effects of egg weight on egg quality traits in partridge (Alectoris Chukar), J. Appl. Anim. Res., 43, 450–456, https://doi.org/10.1080/09712119.2014.980419, 2014. 
Alkan, S., Galiç, A., Karsli, T., and Karabağ, K.: Effects of egg weight on egg quality traits in partridge (Alectoris Chukar), J. Appl. Anim. Res., 43, 450–456, 2015. 
Baykalir, Y. and Aslan, S.: Phenotypic correlations between egg quality traits, albumen pH and ovalbumin levels in four varieties of Japanese quail (Coturnix coturnix japonica), GSC Biol. Pharm. Sci., 10, 69–75, 2020. 
Bila, L., Tyasi, T. L., Fourie, P., and Katikati, A.: Classification and regression tree analysis to predict calving ease in Sussex heifers using pelvic area dimensions and morphological traits, J Adv. Vet. Anim. Res., 8, 164–172, 2021. 
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Short summary
The classification and regression tree (CART) method produced good models for predicting albumen weight, with R2 values of 0.94 and 0.96, and yolk weight, with R2 values of 0.93 and 0.92, in Potchefstroom Koekoek and Lohmann Brown layers, respectively. This study suggests that a CART data mining algorithm might assist in determining the breed standards of Lohmann Brown and Potchefstroom Koekoek chicken breeds.
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