An Application of Bootstrap Technique in Animal Science: Egg Yolk Color Sample

Abstract

In this study, it was aimed to introduce the Bootstrap technique and to reveal the relationship between measurements of yolk color fan grades and digital colorimeter that is used for determining the yellow color of egg by utilizing this technique. For this purpose, a total of 1350 samples of 15 color grades of Roche yolk color fan and L* (lightness), a* (redness), b* (yellowness) values in the same samples were compared. The means, standard errors and confidence intervals for each color parameters of fan grades have been demonstrated by the Bootstrap technique. The grades of Roche yolk color fan in terms of L* values have been divided into 10 groups (P < 0.01), while only divided into 9 groups in terms of b* values (P < 0.01). According to the means of Redness (a*), all of the Roche yolk color fan grades (15 grades) have been determined as independent from each other (P < 0.01). With the Bootstrap method, the standard error values of means were decreased by 42.03%, 35.38% and 30.24%, respectively, and the confidence intervals were narrowed by the ratio of 42.03%, 35.38% and 30.24%, respectively. The results of the study were compared with the results of the study that was conducted by using Roche yolk color fan which is cheaper but less reliable and by using digital colorimeter method which is expensive but reliable.