Prediction of the weight and number of eggs in Mazandaran native fowl using artificial neural network
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 485
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شناسه ملی سند علمی:
JR_IJABBR-1-5_008
تاریخ نمایه سازی: 26 اسفند 1394
چکیده مقاله:
Traditional poultry production has changed to a considerable industry after few decades.Now, poultry industry is one of the main sectors to obtain the required protein for human consumption. Prediction of the weight and number of eggs according to economic traits can improve the efficiency of production and the profit of producers. In present study, the weight and number of eggs in Mazandaran native fowl were predicted using artificial neural network(ANN). The information of BW at birth, 8 and 12 weeks of age, weight and age at sexual maturity and the polymorphism of prolactin gene were used for the prediction. The results showed that ANN is reliable method for predicting the weight and number of eggs based on available information
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نویسندگان
Soudabeh Semsarian
In order, M.sc. student and faculty member of Agricultural Science University of Zanjan,Zanjan, Iran
Morad Pasha Eskandari Nasab
In order, M.sc. student and faculty member of Agricultural Science University of Zanjan,Zanjan, Iran
Saeed Zarehdaran
Department of Animal Science, Faculty of Agriculture and Natural Resources, University of Gorgan, Iran
Amir Ahmad Dehghani
Department of Water Engineering, Gorgan University of Agricultural Sciences and natural Resources, Gorgan, Iran