Predicting breeding value of body weight at 6-month age using Artificial Neural Networks in Kermani sheep breed

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) an...

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Bibliographic Details
Published in:Acta scientiarum. Animal sciences 2019, Vol.41 (1), p.45282-e45282
Main Authors: Ghotbaldini, Hamidreza, Mohammadabadi, Mohammadreza, Nezamabadi-pour, Hossein, Babenko, Olena Ivanivna, Bushtruk, Maryna Vitaliivna, Tkachenko, Serhii Vasyliovych
Format: Article
Language:eng ; por
Subjects:
Age
Algorithms
Animals
Artificial neural networks
Back propagation
Back propagation networks
Birth weight
Body weight
Breeding
Computer architecture
Computer programs
Domestic animals
estimate
genetic parameters
growth traits
lamb
Multilayer perceptrons
Neural networks
Parameter estimation
Sheep
Software
VETERINARY SCIENCES
Weaning
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Summary: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 15% as validating data, to prevent over-fitting of the artificial neural network. Results showed that the both networks capable to predict breeding values for body weight at 6 month-age in Kermani sheep. It can be concluded that artificial neural network has a good ability to predict growth traits in Kermani sheep with an acceptable speed and accuracy. Therefore, this network, instead of commonly-used procedures can be used to estimate the breeding values for productive and reproductive traits in domestic animals.
ISSN:1806-2636
1807-8672
1807-8672
DOI:10.4025/actascianimsci.v41i1.45282