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Predicting the Impact of Supplemental Phytase, Wheat and Phosphorus on the Performance of Layin Hen

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  7th World Congress on Computers in Agriculture Conference Proceedings, 22-24 June 2009, Reno, Nevada (electronic only)  711P0409e.(doi:10.13031/2013.29064)
Authors:   Zary Forghany, Mohsen Davarynejad, L Zartash
Keywords:   Laying hen, Percent production, Feed conversion ratio, Modeling, Prediction, Fuzzy, Genetic algorithm.

A Genetic Fuzzy Rule Base System (GFRS) for modeling the response of laying hen hyline W36 performance to dietary supplemental phytase source, wheat and phosphorus level is described based on experimental data. Using data obtained via measurement of various characteristics of laying hens prepared with different levels of dosage of a commercial phytase source proteinase, (0, 500 and 1000 phytase (FTU)/kg of feed) at 0.0, 25, 50, 75, 100 percent of wheat with 0.22 and 0.28 percent available phosphorus (AP), it is concluded that construction of an optimized fuzzy model for evaluation of different dietary supplemental phytase, wheat and phosphorus level is a reliable procedure. A comparison has done between three statistically based regression models and one type of fuzzy inference systems.This qualitative fuzzy model may in fact help drive appropriate selection of combinations of potential feed parameters.

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