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Predicting breeding value of body weight at 6-month age using Artificial Neural Networks in Kermani sheep breed 2
Ghotbaldini, Hamidreza; Mohammadabadi, Mohammadreza; Nezamabadi-pour, Hossein; Babenko, Olena Ivanivna; Bushtruk, Maryna Vitaliivna; Tkachenko, Serhii Vasyliovych.
The present study aimed to apply artificial neural networks to predict the breeding values of body weight in 6-month age of Kermani sheep. For this purpose, records of 867 lambs including lamb sex, dam age, birth weight, weaning weight, age at 3-month (3 months old), age at 6-month (6 months old) and body weight at 3 months of age were used. Firstly, genetic parameters of the animals were estimated using ASReml software. The data was then pre-processed for using in MATLAB software. After initial experiments on the appropriate neural network architecture for body weight at 6-month age, two networks were examined. A feed-forward backpropagation multilayer perceptron (MLP) algorithm was used and 70% of all data used as training data, 15% as testing data and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Animal Science; Animal Genetics estimate; Genetic parameters; Growth traits; Lamb..
Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/45282
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