The investigation of a complex productivity indicator based on the main components method for evaluating sheep of North Caucasian Meat and Wool breed

2021 ◽  
pp. 41-51
Author(s):  
K. A. Katkov ◽  
L. N. Skorykh ◽  
I. O. Fominova
Keyword(s):  
Mathematical Analysis ◽  
Principal Component ◽  
Animal Husbandry ◽  
Multidimensional Analysis ◽  
Farm Animals ◽  
Systematic Evaluation ◽  
Analysis Method ◽  
Mathematical Methods ◽  
Main Components ◽  
Meat Productivity

Improving the productive traits of animals through the use of genetic potential is impossible without a systematic evaluation of productivity characteristics and conformation traits. Special attention has always been paid to the study of the physique of animals in association with their productivity. The priorities in the selection of farm animals today are the parameters of meat productivity. For breeding work in order to increase productivity indicators in sheep, it is necessary to use the most informative parameters. The above dictates the need to apply new approaches to the evaluation of phenotypic parameters. Each trait has certain significance in the description of the phenotype, which can be evaluated on the basis of mathematical methods of analysis. Mathematical analysis, as well as mathematical modeling methods, is successfully used in animal husbandry. A new approach to the lifetime evaluation of sheep meat productivity using a multidimensional analysis method as the analysis of the main components has been presented in the article. The main purpose of the applied analysis method is to reduce the dimensionality for a multidimensional matrix of initial data. As a result of this analysis, a certain number of new variables are obtained which cannot be isolated during the direct study of the object, but has a high degree of correlation with the actual traits. We have described one of the possible ways to solve the problem of forming a complex numerical indicator using the principal component method. This indicator is called a complex indicator of productivity. At the same time, it is expected that the indicator under consideration does not impose restrictions on the number of parameters used in its formation. It is assumed that the high value of the complex productivity indicator obtained on the basis of lifetime measurements of the physique of animals will correspond to the same high value of the complex indicator obtained on the basis of slaughter parameters. As the result of the analysis, the mathematical and statistical method for calculating the correlation between lifetime traits and slaughter indicators of animal productivity has been carried out. On the base of conducted method of mathematical analysis, it can be assumed that the complex indicator can be used as the criterion for evaluating the productivity of sheep.

scholarly journals Analysis of the ratio of livestock and livestock production by farms of Lviv region at the turn of the century

2020 ◽  
Vol 22 (95) ◽  
pp. 32-37
Author(s):  
M. Shulskyi
Keyword(s):  
Social Relations ◽  
Animal Husbandry ◽  
Livestock Production ◽  
The State ◽  
Turn Of The Century ◽  
Farm Animals ◽  
Digital Information ◽  
Rational Management ◽  
Main Components ◽  
Livestock Development

The end of the XX and the beginning of the XXI centuries were characterized by radical changes in all spheres of social relations. During this period there was an intensive process of breaking the socialist systems of economic activity and the transition to a market economy. These changes can be fully attributed to the epoch-making, because there have been radical changes in all components of various spheres of social relations. Regarding the digital information used in the analysis of the presence of livestock in farms of Lviv region, it is reasonable to say that during the study period significantly decreased the number of farm animals in all categories of farms and in terms of enterprises and households. Regarding the indicators of livestock production in economic entities of Lviv region, the situation here is almost similar in terms of changes in the number of farm animals. The essence of the problem of this study is to analyze the effects of economic processes on the state of livestock development in Lviv region. At the same time, we have selected the main components of the functioning of the industry, namely: the presence of livestock and the volume of livestock production. These indicators are important and form the basis of the industry and therefore they are chosen as the basis that forms the essence of the problem. Our research should encourage scientists to conduct further research on the state of development of animal husbandry with a focus on identifying the causes that inhibited and inhibit the effective functioning of the livestock industry. The obtained research results should become an effective basis for managers and specialists to make rational management decisions to eliminate certain inhibitory factors in the development of animal husbandry.

scholarly journals THEORETICAL FUNDAMENTALS OF FATTENING CATTLE IN HISTORICAL AND MODERN RETROSPECTION (according to the bibliography of Academician G. Bogdanov)

2020 ◽  
pp. 156-169
Author(s):  
Yevhen Rudenko ◽  
Victoria Kunets
Keyword(s):  
Animal Husbandry ◽  
Feed Additives ◽  
Theory And Practice ◽  
Farm Animals ◽  
Forest Steppe ◽  
Scientific School ◽  
Protein Amino Acid ◽  
Scientific Heritage ◽  
Feed Protein ◽  
Meat Productivity

An attempt is made to concentrate this research in the field of the scientific heritage of Academician UAAS G. Bogdanov, due to certain retrospective and prospective reasons. The main scientific research of Bogdanov O. devoted to the development of theoretical bases of animals’ feeding farms, technologies of feed production and use were carried out in the period connected with work at the Research Institute of Animal Husbandry of the Forest-Steppe and Polissya of the USSR (1956–1976, now the Institute of Animal Husbandry NAAS). Developing the theoretical and practical positions of the classics of domestic zootechnical science I.Belgovsky and P. Pshenichny, Academician G. Bogdanov together with the scientific school created by him laid the foundation for the domestic and made a significant contribution to the world science of farm animal feeding and technology production of high quality feed. The creative heritage of the scientist includes patterns of energy, protein, amino acid, mineral, vitamin nutrition of cattle, pigs, sheep; norms and technologies of full-fledged feeding of farm animals; theoretical bases of formation of meat productivity of cattle in ontogenesis and substantiation of breed technologies of intensive beef production in Ukraine. The result long period of work of the scientist and his colleagues was represented in 2012 of the conceptual work "Theory and practice of normalized feeding of cattle". Research in the physiology and biochemistry of ruminants has led to the creation of new concepts for the evaluation of feed protein and protein rationing for highly productive animals, which gave impetus to the development of innovative feed additives based on protected protein and starch. Given the topic of our article, the work of the scientist, dedicated to the feeding of highly productive cattle, is singled out and considered.

Analysis and optimization of cross-immunity epidemic model on complex networks

2015 ◽  
Vol 26 (04) ◽  
pp. 1550039 ◽  
Author(s):  
Chao Chen ◽  
Hao Zhang ◽  
Yin-Hua Wu ◽  
Wei-Qiang Feng ◽  
Jian Zhang
Keyword(s):  
Real World ◽  
Mathematical Analysis ◽  
Cavity Method ◽  
Analysis Method ◽  
Mathematical Methods ◽  
Important Conclusion ◽  
Optimal Value ◽  
Cross Immunity ◽  
Simulation Results ◽  
Important Disease

There are various infectious diseases in real world, and these diseases often spread on a network of population and compete for the limited hosts. Cross-immunity is an important disease competing pattern, which has attracted the attention of many researchers. In this paper, we discovered an important conclusion for two cross-immunity epidemics on a network. When the infectious ability of the second epidemic takes a fixed value, the infectious ability of the first epidemic has an optimal value which minimizes the sum of the infection sizes of the two epidemics. We also proposed a simple mathematical analysis method for the infection size of the second epidemic using the cavity method. The proposed method and conclusion are verified by simulation results. Minor inaccuracies of the existing mathematical methods for the infection size of the second epidemic are also found and discussed in experiments, which have not been noticed in existing research.

scholarly journals Study on Mechanism Experiments and Evaluation Methods for Water Eutrophication

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jiabin Yu ◽  
Zhaoyang Wang ◽  
Xiaoyi Wang ◽  
Jiping Xu ◽  
Jie Jia
Keyword(s):  
Principal Component ◽  
Analysis Method ◽  
Key Factors ◽  
Effective Evaluation ◽  
Orthogonal Experiments ◽  
Sample Data ◽  
Simulation Results ◽  
Four Levels ◽  
Main Components ◽  
Water Eutrophication

The process of water eutrophication involves the interaction of external factors, nutrients, microorganisms, and other factors. It is complex and has not yet been effectively studied. To examine the formation process of water eutrophication, a set of orthogonal experiments with three factors and four levels is designed to analyze the key factors. At the same time, with the help of a large amount of monitoring data, the principal component analysis method is used to extract the main components of water eutrophication and determine the effective evaluation indicators of eutrophication. Finally, the Bayesian theory of uncertainty is applied to the evaluation of the eutrophication process to evaluate the sample data. The simulation results demonstrate the validity of the research method.

scholarly journals Kemampuan Estimator Spline Linear dalam Analisis Komponen Utama

2020 ◽  
Vol 1 (1) ◽  
pp. 40
Author(s):  
Samsul Arifin ◽  
Anna Islamiyati ◽  
Raupong Raupong
Keyword(s):  
Principal Component Analysis ◽  
Predictor Variable ◽  
Principal Component ◽  
Component Analysis ◽  
Research Data ◽  
Predictor Variables ◽  
Analysis Method ◽  
Main Components ◽  
Main Component ◽  
New Variables

In the formation of a regression model there is a possibility of a relationship between one predictor variable with other predictor variables known as multicollinearity. In the parametric approach, multicollinearity can be overcome by the principal component analysis method. Principal component analysis (PCA) is a multivariate analysis that transforms the originating variables that are correlated into new variables that are not correlated by reducing a number of these variables so that they have smaller dimensions but can account for most of the diversity of the original variables. In some research data that do not form parametric patterns also allows the occurrence of multicollinearity on the predictor variables. This study examines the ability of spline estimators in the analysis of the main components. The data contained multicollinearity and was applied to diabetes mellitus data by taking cholesterol type factors as predictors. Based on the estimation results, one main component is obtained to explain the diversity of variables in diabetes data with the best linear spline model at one knot point.

scholarly journals Development of complete compound feeds with rapeseed meal

2020 ◽  
Vol 82 (3) ◽  
pp. 145-152
Author(s):  
E. E. Kurchaeva ◽  
T. N. Tertychnaya ◽  
A. A. Shevtsov ◽  
N. A. Serdyukova ◽  
N. Y. Sitnikov
Keyword(s):  
Animal Husbandry ◽  
Rapeseed Meal ◽  
Raw Material ◽  
Farm Animals ◽  
Special Role ◽  
Material Base ◽  
Probiotic Preparation ◽  
Processed Products ◽  
Meat Productivity ◽  
High Degree

The organization of scientifically justified feeding of farm animals with compound feed enriched with oilseed processed products as an energy component and a probiotic component contributing to the regulation of homeostasis processes becomes important in modern conditions of animal husbandry production. At the same time, a special role is given to the application of rapeseed products, meals in particular, in feed rations. Rapeseed meal contains protein, carbohydrates, fats, phospho-containing substances in a concentrated form, which expands the possibilities of the raw material base for the development of compound feed recipes that meet the requirements of complete nutrition for animals. The dosage of rapeseed meal (10%) introduction into the composition of compound feed for young rabbits based on the animals receiving nutrients in accordance with the existing feeding standards was substantiated in the work. Evaluation of the effectiveness of the obtained granulated feed was carried out on a clinically healthy livestock of rabbits in the amount of 60 heads, which were divided into 4 groups. The best indicators of meat productivity (slaughter yield 69.80%, meat index 4.40) were obtained with the introduction of the probiotic preparation "Probion - Forte" at a dosage of 0.5 g / kg of feed and rapeseed meal in an amount of 10% to the feed mass. The application of the developed complete granulated feed made it possible to achieve a high degree of the diet protein component concentration in the muscle tissue of experimental rabbits, which indicates a higher nutritional and biological value of the meat resources obtained.

PENELITIAN DAN PENGEMBANGAN SENSOR AROMATIK SEBAGAI ALAT DETEKSI ALKOHOL PADA PARFUM DAN WEWANGIAN UNTUK AUTENTIKASI PRODUK PARFUM HALAL

2017 ◽  
Vol 18 (2) ◽  
pp. 302-322
Author(s):  
Fajar Hardoyono
Keyword(s):  
Sensor Array ◽  
Principal Component ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Response Patterns ◽  
Data Recording ◽  
Analysis Method ◽  
Sample Group ◽  
Array Pattern ◽  
Group Data

Abstract: The development of aromatic sensor array instrument for the detection of alcohol in perfume. The research was conducted by developing the sensor array using 8 sensors made of metal oxide semiconductor. The sensor types used in this study consisted of TGS 813, TGS 822, TGS 2600, TGS 826, TGS 2611, TGS 2620, TGS 2612 and TGS 2602. Response patterns of 8 sensors formed a sensor array pattern used to detect the aroma of 2 groups of samples perfume made from the essential oil of ginger. The first sample group is pure ginger atsiri oil without mixed alcohol. The second sample group was made from the ginger atsiri oil mixed with alcohol with a level of 0.02 M. The results of the data recording show that the developed instrument is able to dissect the first sample group with the second sample group. Data analysis using principal component analysis method (PCA shows that the instrument is able to distinguish the contaminated alcohol perfume group 0.2 M with the alcohol-free perfume group with 100% accuracy. Keywords: Sensor Aroma, Perfume.

scholarly journals Multiresistant Bacteria Isolated from Intestinal Faeces of Farm Animals in Austria

Antibiotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 466
Author(s):  
Herbert Galler ◽  
Josefa Luxner ◽  
Christian Petternel ◽  
Franz F. Reinthaler ◽  
Juliana Habib ◽  
...  
Keyword(s):  
Meat Products ◽  
Animal Husbandry ◽  
Multidrug Resistant ◽  
Farm Animals ◽  
Resistant Bacteria ◽  
Antibiotic Resistant Bacteria ◽  
Antibiotic Resistant ◽  
E Coli ◽  
Multiresistant Bacteria ◽  
Vancomycin Resistant

In recent years, antibiotic-resistant bacteria with an impact on human health, such as extended spectrum β-lactamase (ESBL)-containing Enterobacteriaceae, methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococci (VRE), have become more common in food. This is due to the use of antibiotics in animal husbandry, which leads to the promotion of antibiotic resistance and thus also makes food a source of such resistant bacteria. Most studies dealing with this issue usually focus on the animals or processed food products to examine the antibiotic resistant bacteria. This study investigated the intestine as another main habitat besides the skin for multiresistant bacteria. For this purpose, faeces samples were taken directly from the intestines of swine (n = 71) and broiler (n = 100) during the slaughter process and analysed. All samples were from animals fed in Austria and slaughtered in Austrian slaughterhouses for food production. The samples were examined for the presence of ESBL-producing Enterobacteriaceae, MRSA, MRCoNS and VRE. The resistance genes of the isolated bacteria were detected and sequenced by PCR. Phenotypic ESBL-producing Escherichia coli could be isolated in 10% of broiler casings (10 out of 100) and 43.6% of swine casings (31 out of 71). In line with previous studies, the results of this study showed that CTX-M-1 was the dominant ESBL produced by E. coli from swine (n = 25, 83.3%) and SHV-12 from broilers (n = 13, 81.3%). Overall, the frequency of positive samples with multidrug-resistant bacteria was lower than in most comparable studies focusing on meat products.

scholarly journals Modeling, comparison and evaluation of one-DOF six-bar bioinspired jumping leg mechanisms

2021 ◽  
Vol 13 (2) ◽  
pp. 168781402199295
Author(s):  
Ziqiang Zhang ◽  
Qi Yang ◽  
Xingkun Liu ◽  
Chuanzhong Zhang ◽  
Jinnong Liao
Keyword(s):  
Center Of Mass ◽  
Principal Component ◽  
Analysis Method ◽  
Index Distribution ◽  
Inertial Moment ◽  
Structure Index ◽  
Mean And Variance ◽  
Research Objects ◽  
Leg Mechanisms ◽  
Selection Of

One degree-of-freedom (DOF) jumping leg has the advantages of simple control and high stiffness, and it has been widely used in bioinspired jumping robots. Compared with four-bar jumping leg, six-bar jumping leg mechanism can make the robot achieve more abundant motion rules. However, the differences among different configurations have not been analyzed, and the choice of configurations lacks basis. In this study, five Watt-type six-bar jumping leg mechanisms were selected as research objects according to the different selection of equivalent tibia, femur and trunk link, and a method for determining the dimension of the jumping leg was proposed based on the movement law of jumping leg of locust in take-off phase. On this basis, kinematics indices (sensitivity of take-off direction angle and trunk attitude angle), dynamics indices (velocity loss, acceleration fluctuation, and mean and variance of total inertial moment) and structure index (distribution of center of mass) were established, and the differences of different configurations were compared and analyzed in detail. Finally, according to the principal component analysis method, the optimal selection method for different configurations was proposed. This study provides a reference for the design of one DOF bioinspired mechanism.

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