Resumen

RODRIGUEZ ALCANTAR, Edelmira. Decision Tree to Classification of Dairy Cows from Genetic Information. Epistemus (Sonora) [online]. 2022, vol.16, n.33, pp.69-74.  Epub 19-Mayo-2023. ISSN 2007-8196.  https://doi.org/10.36790/epistemus.v16i33.220.

This paper presents decision trees as a machine learning technique for classifying cows as good milk producers or not, based on the use of genetic markers. The purpose is to select genetically superior animals in less time and make the assisted reproduction process more efficient, thereby reducing costs and increasing profits in the dairy sector. Results are presented on the efficiency of decision trees for the classification of dairy cows, up to 94.5% accuracy was achieved. In addition, the algorithm allowed the identification of the most dominant SNP for classification, and the chromosome that most influences the prediction.

Palabras llave : Classification; decision trees; dairy production.

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