Comparison of Cattle Breeds with Classification Tree According to Milk Components


Abstract views: 113 / PDF downloads: 61

Authors

DOI:

https://doi.org/10.5281/zenodo.6993838

Keywords:

CART algorithm, regression tree, holstein, charolaise, jersey, simmental, milk components

Abstract

This study was carried out to classify Jersey, Charolaise, Simmental and Holstein cattle breeds by using decision tree analysis according to components of milk sample (fat, protein, lactose, density, pH, conductivity). In the study, there are a total of 16 nodes in classification tree, formed for CART decision tree for 4 different dairy cattle. It is seen that root node (Node 0) is divided into two lower nodes as Node 1 (pH≤6.86) and Node 2 (pH>6.86) in terms of pH, and that pH of raw milk is effective in classifying cows.  In the study, correct classification rate actualized as 63.0% in Charolaise cows; 83.0% in Holstein cows, 78.9% in Jersey cows and 86.7% in Simmental cows. As a conclusion, it was stated that the different cattle breeds could be correctly classified by CART algorithm in the rate that may be considered high.

References

Akşahan, R., Keskin, İ. 2015. Determination of the some body measurements effecting fattening final live weight of cattle by the regression tree analysis. Selcuk Journal of Agriculture and Food Sciences, 2(1): 53-59.

Altay, Y., Boztepe, S., Eyduran, E., Keskin, İ., Tariq, M.M., Bukhari, F.A., Ali, I. 2021. Description of factors affecting wool fineness in karacabey merino sheep using chaid and mars algorithms. Pakistan J. Zool., 53: (2): 691-697.

Aytekin, I., Eyduran, E., Keskin, I. 2018. Detecting the relationship of california mastitis test (CMT) with electirical conductivity, composition and quality of the milk in Holstein-Friesian and Brown Swiss cattle breeds using CART analysis. Fresenius Environmental Bulletin, 27(6): 4559-4565.

Bakır, G., Keskin, S., Mirtagioğlu, H. 2009. Evaluating the relationship between mature age milk yield and several traits using CHAID analysis in Brown Swiss Cows. Journal of Animal and Veterinary Advances, 8 (3): 587-589.

Bakır, G., Keskin, S., Mirtagioğlu, H. 2010. Determination of the Effective Factors for 305 Days Milk Yield by Regression Tree (RT) Method, Journal of Animal and Veterinary Advances, 9(1): 55-59.

Çak, B., Keskin, S., Yılmaz, O. 2013. Regression tree analysis for determining of affecting factors to lactation milk yield in brown swiss cattle. Asian Journal of Animal and Veterinary Advances, 8(4): 677-682.

Çamdeviren, H., Mendeş, M., Özkan, M.M., Toros, F., Şaşmaz, T., Öner, S. 2005. Determination of depression risk factors in children and adolescents by regression tree methodology. Acta Medica Okayama, 59(1): 19-26.

Doğan, İ. 2003. Investigation of the factors which are affecting the milk yield in holstein by CHAID analysis. Veterinary Journal of Ankara University, 50: 65-70.

Ergül, Ş., Ergül, A., Göncü, S. 2019. The effects of feeding strategies on milk yield and milk composition in dairy cattle. International Journal of Eastern Mediterranean Agricultural Research, 2(2): 145-165.

Eyduran E, Yilmaz I, Tariq M.M., Kaygisiz A. 2013. Estimation of 305-D milk yield using regression tree method in brown swiss cattle. The Journal of Animal & Plant Sciences, 23(3): 731-735.

Eyduran, E., Keskin, I., Erturk, Y.E., Dag, B., Tatliyer, A., Tirink, C., Aksahan, R., Tariq, M.M. 2016. Prediction of fleece weight from wool characteristics of sheep using regression tree method (Chaid Algorithm). Pakistan J. Zool., 48: (4): 957-960.

Karabacak, A., Senol Celik, S., Tatliyer, A., Keskin, I., Erturk, Y.E., Eyduran, E., Javed, Y., Tariq, M.M. 2017. Estimation of cold carcass weight and body weight from several body measurements in sheep through various data mining algorithms. Pakistan J. Zool., 49(5): 1731-1738.

Mendeş, M., Akkartal, E. 2009. Regression tree model in predicting slaughter weight of broiler. Italian Journal of Animal Science, 8: 615-624.

Mikail, N., Kaplan, M.Z. 2021. Effect of COVID-19 pandemic on animal-source food consumption in Turkey. ISPEC Journal of Agricultural Sciences, 5(3): 616–626.

Oruçoğlu, O. 2011. Holstein irkı ineklerin 305 günlük süt verimini etkileyen çevre faktörlerinin regresyon ağacı ile belirlenmesi. Master Thesis, Süleyman Demirel Üniversitesi, Fen Bilimleri Enstitüsü, Isparta.

Özek, K. 2015. Factors affecting composition of milk in dairy cattle and relation between nutrition and milk composition. Journal of Bahri Dagdas Animal Research, 4(2):37-45.

Özkan, K. 2012. Modelling ecological data using classification and regression tree technique (CART). SDU Faculty of Forestry Journal, 13: 1-4.

Tebliğ No: 2019/64. Çiğ inek sütünün sınıflandırılmasına ilişkin tebliğ. Resmi Gazete No: 31019.

https://www.resmigazete.gov.tr/eskiler/2020/01/20200125-41.htm (Date of Access: 25.01.2020)

Temel, Ö.G. 2004. Sınıflama ve regresyon ağaçları. Master Thesis, Mersin Üniversitesi, Sağlık Bilimleri Enstitüsü, Mersin.

Topal, M., Aksakal, V., Bayram, B., Yaganoglu, M. 2010. An analysis of the factor affecting birth weight and actual milk yield in swedish red cattle using regression tree analysis. The Journal of Animal & Plant Sciences, 20: 63-69.

Yaylak, E., Alçiçek, A., Konca, Y., Uysal, H. 2007. Determination of variations on some nutrients and physical characteristics of milk collected in winter months by dairy in Izmir’s county. Journal of Animal Production, 48(1): 26-32.

Yücel, Y.B. 2017. The determination of factors that affect life satisfaction with classification and regression trees. İstanbul Commerce University, Graduate School of Applied and Natural Sciences, Master Thesis.

Downloads

Published

2022-09-07

How to Cite

ERGÜN, H., & KESKİN, İsmail. (2022). Comparison of Cattle Breeds with Classification Tree According to Milk Components. ISPEC Journal of Agricultural Sciences, 6(3), 539–546. https://doi.org/10.5281/zenodo.6993838

Issue

Section

Articles