Decision Tree to Classification of Dairy Cows from Genetic Information
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 c...
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| Autor principal: | |
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| Formato: | Online |
| Lenguaje: | spa |
| Publicado: |
Universida de Sonora
2022
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| Acceso en línea: | https://epistemus.unison.mx/index.php/epistemus/article/view/220 |
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| Sumario: | 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. |
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