Prediction of the weight and number of eggs in Mazandaran native fowl using artificial neural network

Abstract

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.

Authors and Affiliations

Soudabeh Semsarian| In order, M.sc. student and faculty member of Agricultural Science University of Zanjan, Zanjan, Iran, E-mail : Sou.semsarian@yahoo.com, 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

Keywords

Related Articles

Evaluation of Drought Tolerance in Rapeseed (Brassica napus L.) Cultivars Using Drought Tolerance Indices

Drought is the most significant constraint for crop production in arid and semi-arid regions. In order to assess drought tolerance in fifteen rapeseed (Brassica napus) cultivars using yield-based drought tolerance indi...

Effects of two different protocols: injection of progesterone vs. injection of GnRH+PGF2a on the onset of estrus in dairy cows with postpartum anestrous

Postpartum anestrous is one of the most important problems in the dairy industry in the world and especially in Iran. The objective of present study was to compare the efficacy of two hormonal programs for recycling of...

BROILER PRODUCTION EXPLATION– STEPS TO START

There is nothing quite so helpless in this world as a baby broiler chick which has been snatched from the warmth of its surrogated mother, carted umpteen kilometers in a box dumped unceremoniously in a broiler shed and...

Phytoextraction of Cadmium, Lead and Nickel from a Contaminated Soil by, Hordeum Vulgar L. and Brassica Napus L.

Heavy metals contamination is a major environmental problem which requires immediate human attention. The use of plant species to remove pollutants from soils, generally defined as phytoextraction. In order to evaluate p...

Relationship between Sick Building Syndrome with Headache and Drowsiness

Based on previous researches and current research indoor contaminations in most of the time were more than outdoor contaminations. In according to, most of our times have been spent in indoor environments (85-90%), the...

Download PDF file
  • EP ID EP12834
  • DOI -
  • Views 439
  • Downloads 20

How To Cite

Soudabeh Semsarian, Morad Pasha Eskandari Nasab, Saeed Zarehdaran, Amir Ahmad Dehghani (2013). Prediction of the weight and number of eggs in Mazandaran native fowl using artificial neural network. International journal of Advanced Biological and Biomedical Research, 1(5), 532-537. https://europub.co.uk/articles/-A-12834