Всероссийский научно-исследовательский институт физиологии, биохимии и питания животных – филиал Федерального государственного бюджетного научного учреждения «Федеральный научный центр животноводства – ВИЖ имени академика Л.К. Эрнста»
1Kolesnik E.A., 2Derkho M.A.
1Institute of Veterinary Sanitation, Hygiene and Ecology, Chelyabinsk, Russian Federation;
2South-Ural State Agricultural University, Troitsk, Russian Federation
ABSTRACT. The aim was a comprehensive study of complex metabolic and hormonal variables in broiler chickens in the conditions of industrial technology using the method of principal components (factor analysis). In 40 cross Hubbard broiler chickens at the age 1, 7, 23, 42 days (n=10) blood samples were taken for determining the concentration of metabolites and hormones (9 variables). To identify potential latent component in the structure of the relationships between the variables, a matrix of pair correlations was calculated and factor analysis conducted with the calculation of the factor weights of the variables (correlation coefficients between the measured parameters and latent factors in the test sample). In the studied age periods, it was revealed the existence of three latent statistically significant factors, and the structure of factor weights varied by periods. At the age of 1 day, significant (P<0.05) weights of the variables by the first factor reflected the status of protein metabolism (total protein and urea – 0.84 and 0.86 respectively), the second factor reflected lipid metabolism (triglycerides and NEFA), the third factor − endocrine status (TSH and growth hormone). At the age of 42 days, statistically significant weights had three hormonal variables (ACTH, growth hormone, T3) on third factor, and three metabolic variables (total cholesterol, NEFA, TG) on the first factor. The results of the factor analysis are interpreted taking into account the age-related changes of the measured parameters. According to the authors, assessment of latent factors may be used as indicators of hormonal and metabolic components of adaptation and growth processes in poultry.
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