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Articles | Volume 68, issue 2
Articles | Volume 68, issue 2
https://doi.org/10.5194/aab-68-365-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/aab-68-365-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 68, issue 2
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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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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