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The possibility of using the method of principal components (PCM) for analyzing the results of hematological studies of blood samples of broiler chickens has been studied. It was found that the graphs of the residual dispersion show a clear clustering of samples into the control and experimental groups after infection in the PC1-PC2 space. The graphs of the scores, built for the higher BG models, showed changes in the values for the GC1 spectrum of leukocytes, and for the GC2 of erythrocytes, hemoglobin. Thus, the use of PCM analysis of hematological blood data makes it possible to separate blood samples from healthy broiler chickens and those susceptible to infection with various infections. PCM is a promising approach for rapid assessment of hematological data.

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Application of the principal component analysis (PCM) as an innovative technology for assessing the morphological and functional state of agricultural poultry with diseases of bacterial genesis