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J Vál'ka

Publications and source records attributed to J Vál'ka.

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Evaluation of acid-base disorders in dairy cows using principal component analysis and empiric equations.

Acid-base disorders were studied in two groups of dairy cows. According to conventional interpretation in the 1st group of dairy cows (n = 10) the results of the acid-base parameters indicated respiratory alkalosis and in the 2nd group (n = 10) metabolic acidosis. The data of the two groups were examined using principal component analysis. So called "reduced variables"--principal components for each animal were calculated. Each experimental animal was projected in the coordinates of 3 principal components K1, K2 and K3. The components K1, K2 and K3 comprised a 90% data variability. The importance of variables for a dividing of groups (1 and 2) was quantified. The most important were pCO2, (HCO3)' and BE. It was proved according to mathematico-empiric equations that dairy cows of 1st group suffered from acute respiratory alkalosis. In the 2nd group of dairy cows the combined acid-base disorder was confirmed using the equations for metabolic acidosis and chronic respiratory acidosis. The use of PCA method and empiric equations for acid-base imbalances shows the possibilities for gaining new knowledge how to make the diagnostic process more exact.

Acid-Base Imbalance↗

[Functional liver disorder in relation to decreased titratable acidity of milk].

The internal environment of 17 dairy cows was observed by help of 23 variables of metabolic profile in blood and milk at lowered titratable acidity of milk (Tab. I) Average values of the observed variables were compared with reference values in a histogramme (Fig. 1). We calculated the statistical significance of differences of arithmetical means from reference average. Using correlation analysis we calculated the correlation coefficients for the observed variables. We represented the chosen correlation relations in correlogrammes (Fig. 2). We found significant correlation relations between AST and titratable acidity (degrees SH) (r = 0.791), AST and milk pH (r 0.617), AST and lactose (r = 0.69), AST and glucose (r = -0.56), blood pH and milk pH (r = -0.608), milk pH and lactose (r = -0.89). Mutual relations of titratable acidity with chosen variables of blood serum and milk were evaluated by help of regression coefficients, calculated for each parameter from the mathematical model (Fig. 3). The nearest relations were found for blood pH (regression coefficient /k/ kPH = -11.9), for AST (kAST = -3.1), for milk pH (k milk pH = -1.72) and for Mg (k Mg = -1.98). We also compared the recorded results of titratable acidity with theoretical values of titratable acidity calculated from the mathematical model (Tab. II). The differences between them were not statistically significant. It is evident from the results that the acid-base balance and functional liver condition influence the titratable acidity of milk.

Animals↗

[Interrelation between profile test indicators in the decreased milk acidity syndrome in cows].

The internal environment of high-yielding dairy cows was investigated in relation to 36 variables of the blood metabolic profile, blood serum, milk and urine, with the incidence of reduced titration acidity milk syndrome. The levels of variables were confronted with references values. At the same time the statistical significance of differences of arithmetical means from the reference mean was calculated. Correlation analysis of all variables yielded 630 correlation coefficients. Certain correlations were represented in form of correlogrammes. It has been demonstrated that the reduced titration acidity milk syndrome with the lowest values of 1.9 ml 0.25N NaOH per 100 ml occurred after administration of the feed ration deficient both in digestible crude protein and starch units (nutritive ratio 1:7.5) which contained unsafe grass haylage with a high content of ammonia (232.9 mg per 100 g). A highly significant negative correlation was proved to exist between lactose concentration and pH value of milk (r = -0.913); the regression equation (lactose) is 36.997--4.7536 (pH).

Animals↗

[Use of the computer in the study of relations of indicators in the metabolic profiles of dairy cows].

Fifty dairy cows with metabolic alkalosis and forty-eight dairy cows of a control group were subjected to a metabolic profile test with 30 parameters. The results of analyses were confronted with reference values in histograms. We calculated mutual correlation coefficients for all parameters of dairy cows of the two groups. The correlations between selected pairs of parameters were represented diagrammatically in a form of correlograms. We demonstrated that the values of certain parameters being approximately identical, the correlations in group A of dairy cows (with alkalosis) varied in a different way from the correlations of the control group. It is seen from the results that the confrontation of the values of a parameter with reference values need not be in all cases a reliable criterion of evaluating the internal environment in dairy cows. We processed the metabolic profiles of the two groups by a multidimensional analysis of principal components. The dairy cows of the two groups clearly differentiated from one another according to the internal environment regarding the used parameters. We draw attention to a possibility of computerizing the diagnostic significance of the metabolic profile parameters.

Alkalosis↗

[Relation between the concentration of sodium and potassium in the erythrocytes of dairy cows and the concentration of these elements in the plasma and urine and the level of blood glucose].

Blood and urine samples of 180 dairy cows from 12 herds were examined. Sodium and potassium concentrations were determined in erythrocytes, whole blood, plasma, urine, and glucose concentration in blood: the interrelations were compared. Sodium and potassium concentrations in erythrocytes were 85.15 +/- 11.45 mmol/l, and 25.93 +/- 7.81 mmol/l, respectively. A statistically significant relation was found between sodium and potassium concentrations in erythrocytes (r = 0.3467+++) and the content of electrolyte in blood cells and in whole blood (Na: r = 0.5336+++; K: r = 0.3561+++). No statistically significant relation of intraerythrocyte concentration of both electrolytes was confirmed with respect to the other characteristics (sodium and potassium concentrations in plasma and urine, and glucose concentration in blood). In the conditions of routine laboratory diagnostics in clinically healthy cows, determinations of intraerythrocyte sodium and potassium do not broaden possibilities of evaluating the metabolic state of these electrolytes and cannot be used as the characteristics of energy insufficiency. The cannot replace the analyses performed in serum and urine.

Animals↗

[An evaluation of the metabolic profile of dairy cows and determination of frequency of its abnormalities using an electronic computer].

A system was worked out for an electronic computer evaluation of metabolic profile tests. The computer output included percentual diagrams, histograms, and tables of abnormities. The programme for the TESLA 200 computer was prepared in the FORTRAN IV language. The input data were punched in IBM code by the CONSUL-253 electronic organizational data-processing device, using the punched tape. The results of computer processing provide a clear picture of the metabolism state of the tested animals from the view-point of diagnostic data in sampling time, together with the determination of the occurrence rate of abnormities. The system of the processing of the metabolic profile enables the evaluation of an individual as well as the whole set of animals. The general nature of the programme enables the determination of the occurrence rate of abnormities in several herds at the same time. This will provide important data for the assessment of the health condition of animals on a selected territory (district, region, or a larger unit).

Animals↗

[Evaluation of metabolic profile tests using a computer].

A programme has been developed for the evaluation of metabolism profile tests in dairy cows by means of the TESLA-200 computer in the FORTRAN language. The computer evaluates and plots the metabolism profile from input data punched on tape in the IBM code by the Consul-253 electronic organization automatic device. The metabolism profile is represented as a column graph (histogram), the levels of individual parameters being confronted with the reference levels with a 95% confidence interval and the deviations are expressed in units defined as 1/2 of the confidence interval for each parameter. Calculation by this procedure enables the construction of a profile record in which any step beyond the 95% confidence interval in any parameters is seen very clearly. The computer also produces a table of exactly calculated values of deviations from the reference levels and makes it possible to determine the numbers of abnormalities for individual parameters in the animals tested.

Animals↗