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Evaluating new aromatic hop genotypes
Henychová, Alena ; Pulkrábek, Josef (advisor) ; Jaroslav, Jaroslav (referee)
Hop growers request new cultivar should have qualitative parameters of Saaz semi-early red-bine hop with higher yield potential. Therefore currently, there are efforts to breed new aroma cultivars.
The aim of diploma thesis was to evaluate and choose new breeding aroma genotypes, which would show equal or better quality and quantity parameters than Saaz semi-early red-bine hop registered cultivar, based on production indicators, chemical and genetic analyses. Obtained data were evaluated by basic statistical characteristics, two-sided t-tests for independent selections and correlation analysis.
A yield is the most important quantitative parameter, which is mainly and significantly dependent on climatic conditions. All evaluated genotypes in diploma thesis have reached higher average yields than ŽPČ cultivar, except genotype 4799. Genotype 4801 reached the highest theoretical yield (2.2 tons of dry hops) in year 2014 and genotype 4975 (1.77 tons of dry hops) in year 2015 from achieved results.
A content of alpha bitter acids is the most important qualitative parameter. All aroma new breeding lines have shown parameters of fine aroma hops according to chemical analyses of hop resins. Aroma genotype 4975 showed the highest average contents of alpha and beta bitter acids, balanced ratio between alpha and beta bitter acids, the lowest contents of cohumulone and colupulone, and as well it kept a low or middle variability in all studied traits of chemical analyses of hop resins. A relative content of farnesene higher than 12% is a typical for aroma hop cultivars with ŽPČ cultivar origin. All evaluated genotypes achieved this criteria.
We evaluated the relationship to Saaz semi-early red-bine hop cultivar based on genetic analyses. Genotype 4799 has been genetically the closest to ŽPČ.
Brewed beers have been a same quality as beers from Saaz semi-early red-bine hop cultivar by sensory evaluation.
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Verification of a New Canine Training Method for the Human Scent Identification
Haffner, Martin ; Pinc, Ludvík (advisor) ; Jaroslav, Jaroslav (referee)
Scent identification is a forensic method which is used in many countries. Principle of this method is always the same, but in each country are used different processes. This method is based on comparison of an odor collected at the crime scene and an odor collected from the suspect.
The aim of this study was to verify new methodology designed by Dr. Adee Schoon. This method consists of different dog training methodologies. In the commonly used method the dog gets an odor from his handler to sniff at before each particular line-up. This is match to sample method. That means the dog is able to compare two samples from the same person. In the modified methodology a dog once sniffs at the single odor placed on the ground. After distracting odors are added the dog is supposed to alert to the matching odor again. Thus the method under testing is more like based on the detection of target odor than on match-to-sample scenario.
Human odor samples were collected from palms of hands, metal tubes and the object belonging to the same person. Experimental persons were asked to wash their hands and let them to dry freely. At first, sorbent material Aratex was placed to palms of these persons for fifteen minutes and then it was closed and sealed in odorless glass jars. Then the metal tubes were given to hold to experimental persons for five minutes. After this time metal tubes were placed into glass jars with odorless Aratex which was later used as scent samples. The metal tubes were removed from glass jars after thirty minutes. Scent samples from objects were collected similarly as from metal tubes, these samples served as a corpus delict. The starting scent samples and target scent samples were collected by a different persons. Additional odors were collected using the same protocol and under similar conditions, so none of the odor samples in a line-up were more attractive for the dog than the others.
For the training three years old female belgian shepherd malinois was used, trained by the author of the project. Intrinsic matching procedure was always three times repeated. At first, the dog sniffed at the scent sample from the palms of hands. The line-up was arranged of scent samples collected from metal tubes and objects. One of these scent samples was the target scent (metal tubes). After comparison of metal tubes scents, the target scent was replaced by a scent sample collected from corpus delicti. In case the dog correctly indicated target scent, the result was recorded as correct.
For statistical evaluation Bernoulli distribution was used (P < 0.01). Over the whole experiment only one dog was used, and so it cannot be concluded that this method is easier for the dog than the traditional one, however the study demonstrated that such a method is basically usable as a tool by which dogs can be trained to identify individual human scents. Fischer´s test did not show any differences between comparisons based on the type of an object.
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Statistical analysis of unemployment development
Sirota, Alex ; Svatošová, Libuše (advisor) ; Jaroslav, Jaroslav (referee)
Individual chapters of the theoretical part of diploma thesis entitled Statistical analysis of unemployment familiarization deal with the issue of unemployment,with the issue of time series analysis and with the creation of the unemployment rate prediction. Furtherwork focuses on familiarization with the problems of multidimensional statistical methods, namely cluster analysis.
The practical part of the thesis focuses on the analysis of current developments in the unemployment rate in the Czech Republic as a whole and subsequently in all 14 regions of the Czech Republic in the years 1993 to 2014. Subsequently, in each of the aforementioned territorial units conducted short-term predictions of the unemployment rate for the years 2015and 2016. These predictions are made based on the best model according to Box-Jenkins method. The unemployment rate is further examined in terms of the number of unemployed by age and educational background.
The full analysis is based on the relevant annual data from the Czech Statistical Office. For the purpose of cluster analysis are also used data broken down by the districts of the Czech Republic. Prognosis of the unemployment rate are created in the statistical software Eviews and Cluster Analysis in SPSS Statistics.
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Analysis of changes of households expenditures in CR
Bartošová, Livie ; Svatošová, Libuše (advisor) ; Jaroslav, Jaroslav (referee)
The Diploma Thesis is focused on changes in household spending in the Czech Republic.The aim was to analyze the changes in the average spending in individual household types.
In the introductory part, the method of data collection by the Czech Statistical Office, which collects the data from the households in the framework of the family accounts statistics, is described. Moreover, the inflation questions are explained here, together with the description of models of consumption ways. The introduction of the Thesis also includes the explanation of options of a non-consumer spending in the form of both investments and various types of savings.
The practical part comprises analyses monitoring changes in the spending structure, in the spending extent, and in the development of the expense entry value. The analysis of the changes in the spending structure concerns all categories of households, classified according to the person acting as the head of household, in the years 2006-2014. These changes are evaluated not only from the point of view of their extent and development trends, but they are also evaluated in comparison with other monitored households. The detailed analysis monitoring the spending extent and the development of individual expense entries studies the average household and the household of employees in the years 2000-2014, with a subsequent prediction for years 2015 and 2016. For the households of self-employers, unemployed persons and pensioners (without economically active members), the analysis covers the changes in the spending extent in the years 2006-2014 and includes also the comparison of such changes in terms of the mentioned household types.
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Evaluation of creation of yield parameters of Kazbek and Saaz Late cultivars
Štefanová, Lucie ; Pulkrábek, Josef (advisor) ; Jaroslav, Jaroslav (referee)
Hops has been grown in Saaz region for 700 years. The first written mention about local hop garden comes from 1348, but it is certain that the hop gardens were owned by brewers and church dignitaries even earlier. First, hops was grown on the monastery grounds on a large scale. Czech, and thus Saaz hops, reached its peak in the 19th century, mainly for its fragrance, color and kontent of lupulin, and became a benchmark for determining the quality and price of hops.
Kazbek is the first variety of "flavour hops" bred in the Czech Republic. Its unique sensory properties were examined with numerous brewing tests in several breweries of different sizes. Breeding of "flavour hops" is a real challenge for hop breeders. The first hop in that category, for example Citra, Amarillo, Simcoe, Bravo, were bred in the United States. Variety Kazbek was obtained by selecting progeny of the hybrid material, which has origins in Russian wild hops. It was registered in 2008 due to high stability and efficiency. Robustness and stability is expressed in the name of the variety, because Kazbek is the highest mountain of the middle Caucasus. From the brewing point of view, it belongs among the bitter types.
Saaz Late variety was obtained by selecting F1 offspring of parental combination of unfinished breeding material that is the origin of Saaz. It has a charakter of late variety. Saaz Late is an aromatic variety for the second and third hopping. Aroma is genuine, fine, hoppy.
The most important quality aspect of hops is alpha acids content. Content of alpha acids has been reagularly assessed since 1981. The evaluation results show, that the alpha acids kontent in varieties Saaz Late and Kazbek is proven statistically different.
Selection of suitable location is the key element for cultivation of hybrid varieties. It is very important to focus on the evaluation of natural conditions of each location. This paper shows that there is no statistically significant difference between locations Stekník and Blšany.
Optimal temperature for growth and subsequent yield formation should not drop below +7 °C in April, +11 °C in May and from June to August should range between +15 and +18 °C. The stability and balance of temperature is also important. Precipitation has a bigger
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impact on yield formation than temperature. This statement was confirmed in 2015, when tropical temperatures and drought during the flowering and cone formation caused significant decrease of yield. Low yield level
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