Determination of The Effect of Zeolite and Organic Acid Mixture Supplementation on Performance and Egg Quality in the Layer Diet Using Grey Relational Analysis Method

Aycan Mutlu Yağanoğlu,Mehmet Topal

doi:10.47115/bsagriculture.998526

Aycan Mutlu Yağanoğlu, Mehmet Topal

Open Access

https://doi.org/10.47115/bsagriculture.998526

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Abstract

Grey system theory is a method used when the assumptions of homogeneity of variances in the application of parametric statistical methods of analysis, the assumption that the distribution of data to be applied is appropriate to the normal distribution and that it is, for example, of sufficient size. Grey relational analysis is one of the subtitles of the grey system theory and it is a method of grading, classification and decision making in the data set using the Grey Relation Coefficient (GIA). In this study, the effects of addition of zeolite, organic acid and zeolite-organic acid added to the rations of twenty-four Lohmann LSL type white-laying hens at 28 weeks of age on the quality and performance of eggs were examined. Grey relational analysis was applied to egg quality and performance criteria. It was found that the highest quality eggs were added with organic acid (P) additions to the chicken rations (P6, P3, P1), and the K1 in the control group and the (Z + P) 1 sample in which the zeolite and organic acid additives were applied together were also found in the quality egg group. In terms of quality, middle class egg samples were determined to be zeolite additive group and low quality egg group was found to be control and zeolite + organic acid added group.

Highlights

The main purpose in animal production is to provide high income from farm animals in line with low costs (Kumlu 1999)
Henderson (1984), with the spread of simple algorithms based on mixed model equations, the restricted maximum likelihood (REML)
The researchers, who showed that the decision support systems created using fuzzy logic can be used practically, stated that there is a 10% difference between the decisions made by the Decision Support Systems (DSS) and the decisions made by the expert, and this is not important

Summary

Introduction

The main purpose in animal production is to provide high income from farm animals in line with low costs (Kumlu 1999). Wade et al (1998), in their breeding study, stated that as a result of the fuzzy model created by using the milk yield, birth interval and age parameters of the animal, it is easy to decide on the selection of animals with low milk yield, long birth interval and high age, but with higher milk yield and birth interval. The researchers, who showed that the decision support systems created using fuzzy logic can be used practically, stated that there is a 10% difference between the decisions made by the Decision Support Systems (DSS) and the decisions made by the expert, and this is not important

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