№ 159(5), May, 2020
Public date: 29.05.2020
Archive of journal: Articles count 23, 89 kb
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MEAT QUALITY OF DUCKS GROWN ON DIETS WITH DIFFERENT CONCENTRATIONS OF BENTO-CLAY
Description
Obtaining maximum productivity and reducing production costs are the main challenges facing livestock producers in modern conditions. To achieve the effectiveness of the poultry industry, we carried out a research in the utilities sector of the Rostov Region, the purpose of which was to study the effectiveness of the use of a feed additive – bento-clay in the diet of ducklings grown for meat. In the research, we study the influence of various doses of the feed on the diet and growth of ducklings. Experimental research data showed that the introduction of bento-clay into the diet of ducklings as a feed additive allowed to increase live weight, average daily gain, the safety of ducklings, the mass of half-gutted and gutted carcasses, the yield of edible parts, and meat quality compared to the control group. Thus, bento-clay influenced the increase in the water-holding ability of ducklings meat, which contributed to the improvement of its technological properties. Therefore, at three weeks of age, the live weight of ducklings was 11.5% -18.2% more than ducklings of the control group, and at seven weeks of age this difference was 8.4-12%, respectively, and the average daily increase was 7.2 -14.1% with high safety
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FEATURES OF LINEAR GROWTH OF HOLSTEIN HEIFERS OF DIFFERENT LINES
Description
The article presents the results of studying the growth and development of repair heifers of Holstein cattle belonging to the lines Vis Back Ideal and Reflection Sovering. The feeding and maintenance conditions in both groups were the same. In accordance with the generally accepted scheme of drinking during the milk period, the heifers received 180 kg of whole milk and 400 kg of its substitution. Starting from the age of 10-15 days, the heifers were grouped into groups of 15 heads each. The live weight and average daily increments of test heifers varied differently. Linear growth and average daily gains in the experimental group were higher than in the control group. Studies have found that heifers from the experimental group in all the studied periods were superior to heifers from the control group and for the entire period, the average daily increase was 16.5 g more. The average daily increments were at the level of 747.5 and 764.0 g, the live weight by the age of the first insemination was 373.5 kg in the control group and 381.8 kg in the experimental group. Linear indicators have significant differences in height at the withers at the age of 1 insemination; depth of chest behind shoulders in 6-month age and at 1-tion insemination; oblique body length (tape) in the age of the 1st insemination; the chest girth at 12 months of age and at 1-tion insemination. The results of the study show that the cultivation of repair heifers of the Vis Back Idial and Reflection Sovering lines of the Holstein breed further contributes to an increase in the growth of dairy productivity in farms and an increase in gross milk production
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08.00.13 Mathematical and instrumental methods of Economics
BASIC REQUIREMENTS FOR DATA ANALYSIS METHODS (ON THE EXAMPLE OF CLASSIFICATION TASKS)
08.00.13 Mathematical and instrumental methods of Economics
Description
There is a need to clean up the classification methods. This will increase their role in solving applied problems, in particular, in the diagnosis of materials. For this, first of all, it is necessary to develop requirements that classification methods must satisfy. The initial formulation of such requirements is the main content of this work. Mathematical classification methods are considered as part of the applied statistics methods. The natural requirements to the considered methods of data analysis and the presentation of calculation results arising from the achievements and ideas accumulated by the national probabilistic and statistical scientific school are discussed. Concrete recommendations are given on a number of issues, as well as criticism of individual errors. In particular, data analysis methods must be invariant with respect to the permissible transformations of the scales in which the data are measured, i.e. methods should be adequate in the sense of measurement theory. The basis of a specific statistical method of data analysis is always one or another probabilistic model. It should be clearly described, its premises justified - either from theoretical considerations, or experimentally. Data processing methods intended for use in real-world problems should be investigated for stability with respect to the tolerances of the initial data and model premises. The accuracy of the solutions given by the method used should be indicated. When publishing the results of statistical analysis of real data, it is necessary to indicate their accuracy (confidence intervals). As an estimate of the predictive power of the classification algorithm, it is recommended to use predictive power instead of the proportion of correct forecasts. Mathematical research methods are divided into "exploratory analysis" and "evidence-based statistics." Specific requirements for data processing methods arise in connection with their "docking" during sequential execution. The article discusses limits of applicability of probabilistic-statistical methods. Concrete statements of classification problems and typical errors when applying various methods for solving them are also considered
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