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    A biological perspective on interpreting interaction effect
    (Tubitak Scientific & Technological Research Council Turkey, 2022) Genc, Serdar; Mendes, Mehmet
    Factorial experiments are commonly employed in agricultural research as in other branches of applied sciences. In these experiments, inferences related to the interaction are essential. However, many researchers are still unable to analyze this type of experiment and interpret the results in the correct way. This is because researchers focus on interpreting the main effects although there is a significant interaction effect. Of course, meaningful main effects can exist even in the presence of an interaction, especially if interactions do not affect the main effects. Therefore, it is extremely important to understand thoroughly in which situations only the interaction effect(s), in which cases only the main effect(s), and in which cases the interpretation of the main effects will be meaningful although the interaction effect is significant. In this study, evaluating factorial experiments has been discussed in detail, especially in studies related to animal science. It has also been focused on the importance of considering both statistical and practical significance while interpreting the statistical analysis results.
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    Öğe
    Determining the Factors Affecting 305-Day Milk Yield of Dairy Cows with Regression Tree
    (2021) Genc, Serdar; Mendes, Mehmet
    The purpose of this study was to determine the factors affecting the 305-day milk yield of dairycattle by using Regression Tree Analysis (RTA). The data set of this study consisted of 8 differentcattle breeds grown in Turkey. Breed (B), Province (P), Lactation Length (LL), Service Period (SP),Dry Period (DP), Parity (PR), Calving Year (CY), Calving Age (CA) and Calving Month (CM)were used to predict the 305-day milk yield. Results of RTM showed that the usage of this methodmight be appropriate for determining the important factors that would be able to affect the 305-daymilk yield (R2=71.3%). It was seen that the most important factors affecting the 305-day milk yieldwere the Breed, Lactation Length, Province, and Parity. Therefore, those selected factors were moreefficient than the others in predicting the 305-day milk yield. RTA results also indicated that thelowest milk yield was estimated for Jersey, Jersey Crossbred, and Yerli Kara. Among the highest305-day milk yield cows, the milk yield estimates of the cows in the second, third, fourth, fifth, andthe sixth parities were found significantly higher than that of the cows in the first and seventhparities.