Affiliation:
1. SELÇUK ÜNİVERSİTESİ, VETERİNER FAKÜLTESİ
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.
Publisher
Kyrgyz-Turkish Manas University
Reference26 articles.
1. Abdulhafedh A 2021. Incorporating k-means, hierarchical clustering and pca in customer segmentation. J City Dev. 3(1): 12-30.
2. 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.
3. 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.
4. 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.
5. Altunkaynak B 2022. Veri Madenciliği Yöntemleri ve R Uygulamaları, Genişletilmiş 3. Baskı. Seçkin Yayıncılık, Ankara.