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Journals / Black Sea Journal of Agriculture / 2026 / Cilt: 9 Sayı: 3

Prediction of Albumen Index in Tinted Coral Chickens Eggs Using Principal Component Regression

İsmail Gök(KAHRAMANMARAŞ SÜTÇÜ İMAM ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ, TARIMSAL BİYOTEKNOLOJİ (DR))0000-0002-0759-1187
Kadriye Kurşun(ÇUKUROVA ÜNİVERSİTESİ, ZİRAAT FAKÜLTESİ, ZOOTEKNİ BÖLÜMÜ, ZOOTEKNİ PR.)0000-0001-9533-7391
Melis Çelik Güney(ÇUKUROVA ÜNİVERSİTESİ, ZİRAAT FAKÜLTESİ, ZOOTEKNİ BÖLÜMÜ, ZOOTEKNİ PR.)0000-0002-6825-6884
Nasir Abdallah(ÇUKUROVA ÜNİVERSİTESİ, ZİRAAT FAKÜLTESİ, ZOOTEKNİ BÖLÜMÜ, ZOOTEKNİ PR.)0000-0003-2701-6726
Mikail Baylan(ÇUKUROVA ÜNİVERSİTESİ, ZİRAAT FAKÜLTESİ, ZOOTEKNİ BÖLÜMÜ, ZOOTEKNİ PR.)0000-0002-6299-5811
Pages
369–375
Publication Date
2026-05-15
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

They also calculated the shape index, Haugh unit, shell thickness and albumen index.Multiple linear regression (MLR) analysis showed that the model was statistically significant (F=65.65; 0.1) confirmed that the multicollinearity problem was effectively eliminated.The results show that PCR provides a more reliable and stable approach for predicting albumen index in datasets with highly correlated variables.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aimed to predict the albumen index value in Tinted Coral chicken eggs.
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Key Findings & Data:Researchers collected 60 eggs from a flock at 82 weeks of age and measured egg weight, egg width, egg length, and shell weight.
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Conclusion & Impact:They also calculated the shape index, Haugh unit, shell thickness and albumen index.Multiple linear regression (MLR) analysis showed that the model was statistically significant (F=65.65; 0.1) confirmed that the multicollinearity problem was effectively eliminated.The results show that PCR provides a more reliable and stable approach for predicting albumen index in datasets with highly correlated variables.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Egg morphological characteristics · Multicollinearity problem · PCR analysis

Abstract

This study aimed to predict the albumen index value in Tinted Coral chicken eggs. Researchers collected 60 eggs from a flock at 82 weeks of age and measured egg weight, egg width, egg length, and shell weight. They also calculated the shape index, Haugh unit, shell thickness and albumen index.Multiple linear regression (MLR) analysis showed that the model was statistically significant (F=65.65; 0.1) confirmed that the multicollinearity problem was effectively eliminated.The results show that PCR provides a more reliable and stable approach for predicting albumen index in datasets with highly correlated variables. This method also offers strong potential for developing reliable prediction models in other poultry species and genotypes with similar data structures.

Özet

This study aimed to predict the albumen index value in Tinted Coral chicken eggs. Researchers collected 60 eggs from a flock at 82 weeks of age and measured egg weight, egg width, egg length, and shell weight. They also calculated the shape index, Haugh unit, shell thickness and albumen index.Multiple linear regression (MLR) analysis showed that the model was statistically significant (F=65.65; 0.1) confirmed that the multicollinearity problem was effectively eliminated.The results show that PCR provides a more reliable and stable approach for predicting albumen index in datasets with highly correlated variables. This method also offers strong potential for developing reliable prediction models in other poultry species and genotypes with similar data structures.

🔖

Cite This Article

Gök, İ., Kurşun, K., Güney, M. Ç., Abdallah, N., Baylan, M. (2026). Prediction of Albumen Index in Tinted Coral Chickens Eggs Using Principal Component Regression. Black Sea Journal of Agriculture, Cilt: 9 Sayı: 3, 369–375. https://doi.org/10.47115/bsagriculture.1844388

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