Comparison Of Simulation Techniques Based On Milk Yield Data A Linear Mixed Model Approach

The term simulation has been used in a number of scientific disciplines. Agriculture is one ofrnscientific disciplines in which simulation technique has been used to investigate theoretical asrnwell as practical problems. Simulation has a capability of producing relevant answers based onrnincomplete and small datasets. In Ethiopia, researchers have often been challenged by such typernof data. As a result, this study is aimed to compare which computer based simulation techniquesrnto approximate the results of the previously accomplished researches. We have obtained 15rnyears of data from Debre Zeit Research Station of the International Livestock Research Instituternand Holetta Agricultural Research Centre of the Ethiopian Institute of Agricultural Research forrnthis study. We compared the two most familiar simulation techniques namely Monte Carlo andrnbootstrap simulations by using the results of linear mixed model fitted for each dataset. Wernfound that both Monte Carlo and bootstrap simulations can approximate the farm and geneticrngroup effects equally. Lactation length and daily milk yield are found to be significantrn(P

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