THE POSSIBILITY OF USING DATA MINING ALGORITHMS IN PREDICTION OF LIVE BODY WEIGHTS OF SMALL RUMINANTS
Igdir University, Agricultural Faculty, Department of Animal Science, Biometry Genetics Unit, Igdir-Turkey
Keywords: Data Mining Algorithm, Body Weight Prediction, CART, MARS, CHAID, ANN
The main purpose of the sheep production is to improve profitability of yield traits such as meat, milk and wool obtained per animal. In this respect, selection is a remarkable tool for achieving genetic improvement and attaining better qualified offspring as to the quantitative traits. In obtaining of superior offspring according to a quantitative trait like live weight, the conservation of indigenous genetic sources and the detection of the breed standards, animal breeders take into account indirect selection criteria with the help of high genetic correlation coefficients between live weight and morphological traits. Moreover, the prediction of live body weight from some zoometrical (morphological) characteristics measured simply in farm animals is an important subject for developing prosperous animal breeding systems and in practice, regulating management conditions.
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