Investigation of Egg External Quality Characteristics of Linda Geese with Data Mining Methods

Year 2022, Volume: 12 Issue: 2, 115 - 121, 26.12.2022

Harun Yonar Emre Arslan Kemal Kırıkçı

https://doi.org/10.53518/mjavl.1198225

Abstract

In this study, the external quality characteristics of eggs belonging to Linda accidents, a poultry species, were investigated with a data mining approach. The 288 Linda goose eggs used in the study were 36 weeks old; Their width was 52.34 mm, egg length was 76.8 mm, egg weight was 120.43 g, and shape index value was 68.26. Eggs were clustered according to shape index and weight measurements using the K-means clustering algorithm, a data mining approach. Statistically significant differences were found between the clusters in width, height, shape index, and weight (p<0.05). The findings of our study showed that eggs with a low index had high- weight; eggs with a high index were low-weight eggs. According to the results of this study, it was concluded that the shape index value might be related to egg weight. More detailed inferences can be made using data mining algorithms for different poultry species.

Keywords

Linda, goose, data mining method, egg, quality

References

• Abdulhafedh A 2021. Incorporating k-means, hierarchical clustering and pca in customer segmentation. J City Dev. 3(1): 12-30.
• Akın Y, Çelen MF 2022a. Comparisons of egg quality traits, egg weight loss and hatching results between Chinese and Mamut geese eggs reared under the countryside conditions. Iran J Appl Anim Sci. 12(1): 175-182.
• Akin Y, Çelen MF 2022b. Slaughter, carcass and egg traits of domestic geese raised in the Aegean region of Turkey. S Afr J Anim Sci. 52(2): 214-222.
• Alaşahan S, Garip M, Çağlayan T, Ateş CT 2019. Halk elinde yetiştirilen kaz, ördek ve hindi yumurtalarının bazı dış kalite özelliklerinin incelenmesi. Harran Üniv Vet Fak Derg. 8(1): 21-25.
• Altunkaynak B 2022. Veri Madenciliği Yöntemleri ve R Uygulamaları, Genişletilmiş 3. Baskı. Seçkin Yayıncılık, Ankara.
• Biesiada-Drzazga B, Banaszewska D, Charuta A, Koncerewicz A 2016. Influence of age on egg characteristics and reproduction features of Koluda® White geese. Europ Poult Sci. 80.
• Chang SC, Lin MJ, Fan YK, Lee TT 2016. Effects of lighting intensity on growth and reproductive performance of breeder geese. J Appl Poult Res. 25(3): 315-321.
• Eroglu M, Erisir Z 2022. The effects of breeder age and laying period on hatchability and some external egg quality characteristics in breeder geese. Anim Sci Pap Rep. 40(1): 89-98.
• Karabulut O 2021a. Estimation of the external quality characteristics of goose eggs of known breadth and length. Vet Med. 66(10): 440-447.
• Karabulut O 2021b. A Study on the Effect of Altitude on Shell Thickness in Goose Eggs. Indian Journal of Animal Research. 55(9): 1116-1120.
• Kassambara, A. Practical guide to cluster analysis in R: unsupervised machine learning 1st edn (CreateSpace, North Charleston, 2017).
• Kaya Z, Yurtseven S 2021. Effects of feeding systems on yield and performance of Linda geese (Anserinae sp.) in hot climatic conditions. S Afr J Anim Sci, 51(5): 628-634.
• Kozák J 2019. Variations of geese under domestication. World's Poult Sci J. 75(2): 247-260.
• Kucharska-Gaca J, Adamski M, Biesek J 2022. The age of the geese from the parent flock and the laying period affect the features of the eggs. Poult Sci, 101(10): 1-9.
• Kumbar V, Nedomova S, Trnka J, Buchar J, Pytel R 2016. Effect of storage duration on the rheological properties of goose liquid egg products and eggshell membranes. Poult Sci, 95(7): 1693-1701.
• Lantz B 2019. Machine Learning with R: Expert Techniques for Predictive Modeling. Packt Publishing Ltd.
• Mazanowski A, Kisiel T, Adamski M 2005. Evaluation of some regional varieties of geese for reproductive traits, egg structure and egg chemical composition. Ann Anim Sci. 5: 67-83.
• Rençber ÖF 2019. Veri madenciliğinde kullanılan kümeleme algoritmalarının karşılaştırılması üzerine bir inceleme. Düzce Üniversitesi Bilim ve Teknoloji Dergisi. 7(3): 1671-1685.
• Sari M, Buğdaycı KE, Akbaş AA, Saatci M, Oğuz MN 2019. The effect of laying period on egg quality traits and chemical composition of Lindovskaya (Linda) geese reared under breeder conditions. Turk J Vet Anim Sci. 43(5): 662-669.
• Saatcı M, Tilki M, Sarı M, Şahan Yapıcer Ö 2021. Her yönüyle kaz yetiştiriciliği, 2.baskı, Kutlu&Avcı Ofset Yayınevi, Antalya.
• Sun C, Liu J, Yang N, Xu G 2019. Egg quality and egg albumen property of domestic chicken, duck, goose, turkey, quail, and pigeon. Poult Sci. 98(10): 4516-4521.
• Tilki M, İnal Ş 2004a. Yield traits of geese of different origins reared in turkey I. Hatching traits. Turk J Vet Anim Sci. 28: 149-155.
• Tilki M, İnal Ş 2004b. Quality traits of goose eggs: 1. Effects of goose age and storage time of eggs. Arch für Geflügelk. 68(4): 182-186.
• Tilki M, Saatci M, Kirmizibayrak T, Aksoy AR 2005. Effect of age on growth and carcass composition of Native Turkish Geese. Arch für Geflügelk. 69: 77-83.
• Uçar A, Boz MA, Erensoy K, Sarıca M 2022. The Effect of Hatching System and Egg Weight on Hatching Traits in Turkish Geese: Hatch time, Hatchability and Gosling Quality Traits. TURJAF. 10(4): 686-692.
• Wilson RT, Yilmaz O 2013. The Domestic Livestock Resources of Turkey: Populations, production and pathology of ducks and geese. Int J Poult Sci. 12(9): 553-560.