Dobrudzha Agricultural Institute – General Toshevo, 9521, General Toshevo, Bulgaria
Резюме
In the study are discussed the basic principles of the principal component analysis which have a fundamental role in the researches by factorial experiment. On the base of expanding the variance, is evaluated the significant of the factors in the studied relationships. PCA is applied when the database contains information from only a few variables, but it becomes especially effective when a large number of statistical quantities such as spectral data need to be analyzed. The method makes it possible to discover new variables, called „principal components“, which assess the majority of the variables in the database. PCA is applied by the study of the most important characteristics of the quality by winter soft wheat. The main components of the quality of winter soft wheat evaluated by this method are - dough stability, dough development time and sedimentation.
