scholarly journals Quantitative analysis of genetic improvement of milk production phenotypes in Simmental cows

2009 ◽  
Vol 25 (1-2) ◽  
pp. 45-51
Author(s):  
M.M. Petrovic ◽  
Lj. Sretenovic ◽  
V. Bogdanovic ◽  
P. Perisic ◽  
S. Aleksic ◽  
...  
Keyword(s):  
Milk Production ◽  
Mixed Models ◽  
Mixed Model ◽  
Statistical Data ◽  
Paper Analysis ◽  
Breeding Value ◽  
Statistical Data Analysis ◽  
Method Of Least Squares ◽  
General Average ◽  
Quantitative Properties

Results of the effect of direct and indirect selection on quantitative properties of milk production of first calving Simmental cows in Serbia, are presented in the paper. Analysis of quantitative phenotypic parameters was carried out in four breeding regions and certain number of smaller farms where 1319 daughters of 13 bull sires were reared. Results of the analysis were obtained by application of mathematical-statistical data analysis, using mixed models (Harvey, 1990). Mathematical-statistical analysis of data was carried out using linear methods with fixed effect, through method of least squares (LS method), and for evaluation of bull breeding value mixed model of random bull sire effect was used (BLUP method). Based on obtained results it was established that analyzed breeding region has statistically highly significantly (**P<0.01.) caused deviations of production phenotypes from general average. Season and year of calving (*P<0.05.) have caused significant variations of production properties. .

scholarly journals Results of the application of the technology of genetic improvement of Simmental cattle population in Serbia

2006 ◽  
Vol 22 (1-2) ◽  
pp. 1-8 ◽  
Author(s):  
Milan Petrovic ◽  
Ljiljana Sretenovic ◽  
Vlada Pantelic ◽  
Stevica Aleksic ◽  
Branislav Miscevic ◽  
...  
Keyword(s):  
Milk Fat ◽  
Genetic Improvement ◽  
Mixed Model ◽  
Breeding Value ◽  
Production Traits ◽  
Cattle Population ◽  
Method Of Least Squares ◽  
General Average ◽  
Simmental Cattle ◽  
Calving Season

Results of production traits obtained from first calving cows and evaluation of the breeding value of bull sires of Simmental breed in Serbia. Data was analyzed using the method of least squares and for evaluation of bulls' breeding value mixed model of random sire effect (BLUP method). Based on obtained results it was established in statistical analysis that breeding region had highly significantly affected (P<0.01) the deviation of production traits from the general average. Considerable deviation from the general average was caused by the year and season of calving (P<0.05), and interaction of breeding region and calving season contributed to high variation in yield of milk and milk fat (P<0.01).

scholarly journals To the question of evaluating the efficiency of linear breeding in Simmental cattle breed different origin

2020 ◽  
Vol 197 (6) ◽  
pp. 49-57
Author(s):  
L. Ignat'eva ◽  
A. Konte ◽  
A. Sermyagin
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Russian Federation ◽  
Mixed Model ◽  
Breeding Value ◽  
Production Traits ◽  
Fat Percentage ◽  
Foreign Origin ◽  
Simmental Cattle ◽  
The Impact

Abstract. The purpose of the research – to study the impact of related foreign pedigree resources on the Russian population of Simmental cattle. Research Methods. Studies carried out on cows of Simmental breed of different linear origin and genotypes in five regions of Russian Federation: Voronezh, Oryol, Kursk, Belgorod regions and Altayskiy krai, the total number was 35147 cows. EBV estimates were calculated through RENUMF 90, REMLF 90 and BLUPF 90 programs. Evaluation of the components of the variants of genetic and paratypical nature was carried out using the method restricted maximum likelihood – REML. Results. It is established that the largest share for animals foreign origin are 60.7 %, including German-Austrian bloodlines 46.6 % and Holsteins – 14.1 %. 39.3 % of animals are the Russian origin, which 13.5 % representatives of German-Austrian bloodlines, 17.8 % are Holsteins and 8.0 % are from domestic (Russian) bloodlines. In the general population of Simmental breed, the best productivity was shown by cows of German-Austrian bloodlines at the level of 5351 kg of milk with fat percentage 4.00 % and protein percentage 3.19 %. Representatives of German-Austrian bloodlines origin for milk yield showed the estimated breeding value (EBV) for Simmental bulls in the common population by +9.2 kg and fat percentage by +0.012 %. The negative EBV values were obtained for Russian bloodlines by –22.8 kg, and Holstein bloodlines took an intermediate position among all lines (+2.3 kg). The first calving cows, which were in the herd at the time of research, the best milk production traits were found in individuals of foreign origin, both for Holstein (6096 kg of milk with a fat content of 3.96 % and protein 3.23 %), and German-Austrian bloodlines (milk yield 5763 kg, fat 4.04 % and protein 3.19 %), with high estimates of breeding value for milk yield +33.3 kg and +15.2 kg, respectively. Low values of milk productivity among all evaluated animals were observed for animals of Russian bloodlines by 4469 kg milk 3.87 % fat and 3.20 % protein in milk. The first calving cows of Russian origin in foreign bloodlines origin exceeded their peers in Russian Simmental bloodlines in milk production by +608 kg of milk and +0.15 % fat (signed to German-Austrian bloodlines) and +924 kg and +0.06 % fat (signed to Holstein bloodlines). The average values of EBV in these lines, although had low values by –5.6 kg milk for Holstein and by +2.7 kg milk for German-Austrian bloodlines, but was significantly higher than for Russian lines by –12.7 kg milk. Scientific novelty. For the first time, scientific research aimed at improving the system of prediction to breeding abilities of bulls on dairy productivity of daughters based on optimization structure of equations of the mixed model (BLUP, the best linear unbiased prediction) has been carried out for the population Simmental cattle of Russian Federation.

scholarly journals Can Replication Save Noisy Microarray Data?

2002 ◽  
Vol 3 (4) ◽  
pp. 372-374 ◽  
Author(s):  
Lorenz Wernisch
Keyword(s):  
Image Analysis ◽  
Data Analysis ◽  
Microarray Data ◽  
Mixed Models ◽  
Variance Components ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Microarray Experiments ◽  
Analysis System ◽  
Data Analysis System

Microarray experiments are multi-step processes. At each step—the growth of cultures, extraction of mRNA, reverse transcription, labelling, hybridization, scanning, and image analysis—variation and error cannot be completely avoided. Estimating the amount of such noise and variation is essential, not only to test for differential expression but also to suggest at which level replication is most effective.Replication and averaging are the key to the estimation as well as the reduction of variability. Here I discuss the use of ANOVA mixed models and of analysis of variance components as a rigorous way to calculate the number of replicates necessary to detect a given target fold-change in expression levels. Procedures are available in the package YASMA (http://www.cryst.bbk.ac.uk/wernisch/yasma.html) for the statistical data analysis system R (http://www.R-project.org).

Knowledge-Based Decision Support for Diagnosis and Therapy: On the Multiple Usability of Patient Data

1989 ◽  
Vol 28 (02) ◽  
pp. 69-77 ◽  
Author(s):  
R. Haux
Keyword(s):  
Expert Systems ◽  
Statistical Data ◽  
Patient Data ◽  
Attribute Selection ◽  
Patient Specific ◽  
Statistical Data Analysis ◽  
Inference Mechanism ◽  
Diagnosis And Therapy ◽  
Knowledge Based ◽  
Clinical Registries

Abstract:Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.

Market of Insurance in Russia: Major Tendencies and Problems of Development

2006 ◽  
pp. 115-127
Author(s):  
T Natkhov
Keyword(s):  
Data Analysis ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Medium Term ◽  
Insurance Sector ◽  
Different Types ◽  
Basic Characteristics

The article considers recent tendencies in the development of the market of insurance in Russia. On the basis of statistical data analysis the most urgent problems of the insurance sector are formulated. Basic characteristics of different types of insurance are revealed, and measures on perfection of the insurance institution in the medium term are proposed.

Visual Merchandising and Customers’ Impulse Buying Behavior: A Case of a Fashion Specialty Store

2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Hadijah Iberahim ◽  
Nur Amira Zureena Zulkurnain ◽  
Raja Najwa Syamim Raja Ainal Shah ◽  
Siti Quraisyiah Rosli
Keyword(s):  
Adverse Effect ◽  
Statistical Data ◽  
Impulse Buying ◽  
Kuala Lumpur ◽  
Statistical Data Analysis ◽  
Buying Behavior ◽  
Specialty Store ◽  
Research Outcome ◽  
Five Elements ◽  
Visual Merchandising

Visual merchandising is an extremely important element as the first visual cue that affects buying behavior of customers. This study aims to identify determinants of visual merchandising that influence customers’ impulse buying behavior. This study focuses on five elements of visual merchandising which are window display, mannequin display, floor merchandising, promotional signage and lighting. Investigation was conducted at a popular fashion specialty store in Kuala Lumpur, Malaysia. A total of 150 customers' feedback was collected. Results of statistical data analysis show that three out of five visual merchandising elements are important in influencing the customers’ impulse buying behavior. Window display, mannequin display and promotional signage are positively related and identified as determinants of effective visual merchandising for impulse buying decision at the women fashion specialty store. The research outcome extends understanding on the adverse effect of visual merchandising on customers’ behavior.

BANK SPÓŁDZIELCZY (COOPERATIVE BANK) AS A GUARANTOR OF THE STABILISATION OF THE LOCAL FINANCIAL SYSTEM1

2019 ◽  
pp. 173-179
Author(s):  
Andrzej Pawlik
Keyword(s):  
Data Analysis ◽  
Banking Sector ◽  
Statistical Data ◽  
Local Development ◽  
Banking System ◽  
Analysis Method ◽  
Statistical Data Analysis ◽  
Data Analysis Method ◽  
Strong Position ◽  
Cooperative Banks

Urgency of the research. One of the most essential sources of supporting regional and local development is the banking system. Target setting. The study presented describes cooperative banking, represented by Bank Polskiej Spółdzielczości S.A. and Bank Spółdzielczy w Kielcach. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development. Actual scientific researches and issues analysis. The foundations for the modern cooperative banking sector were laid by cooperative financial organisations functioning more than 150 years ago [Pawlik, 2017, s. 152]. Its history is connected with difficulties faced in the period of partitions, work at the foundations after the end of World War I and Poland’s regaining its national independence. Uninvestigated parts of general matters defining. At present, cooperative banking functions as a result of the adoption by the Sejm of the Republic of Poland on 7 December 2000 of the act on the functioning of cooperative banks, their associations and associating banks, which ensured new legal conditions for the functioning of the sector2. The research objective. The article formulates the hypothesis that nowadays activities of cooperative banks will contribute to regional and local development. The statement of basic materials. One of the most essential sources of supporting regional and local development is the banking system. This system can guarantee the stabilisation of the local financial system. By supporting the development of regional and local entrepreneurship through loans, investment activities of the banks and financial and investment consulting, it will determine the identity of the region concerned. Conclusions. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development.

Functional Statistical Data Analysis and Modeling

1990 ◽  
Author(s):  
Emanuel Parzen ◽  
Scott D. Grimshaw ◽  
William P. Alexander
Keyword(s):  
Data Analysis ◽  
Statistical Data ◽  
Statistical Data Analysis
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