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   prediction of the weight and number of eggs in mazandaran native fowl using artificial neural network  
   
نویسنده semsarian soudabeh ,pasha eskandari nasab morad ,zarehdaran saeed ,dehghani amir ahmad
منبع international journal of advanced biological and biomedical research - 2013 - دوره : 1 - شماره : 5 - صفحه:532 -537
چکیده    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.
کلیدواژه egg number ,egg weight ,neural network ,prediction.
آدرس university of zanjan, faculty of agricultural science, ایران, university of zanjan, faculty of agricultural science, ایران, university of gorgan, faculty of agriculture and natural resources, department of animal science, ایران, gorgan university of agricultural sciences and natural resources, department of water engineering, ایران
 
 

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