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In the paper an approach to support of strategic management process using the Balanced Scorecard method is discussed. The main focus is primarily directed to the customer perspective as the most important determining factor of today's strategic management. The article suggests general framework for construction of individual performance indicators from this field independently on particular implementation of existing information system in the organization. Methods of gaining necessary information from organization's database and from organization's environment using customer research are considered.

Virulence spectra for 14 isolates of the barley powdery mildew pathogen considered to be added to the pathogen genebank were determined. The isolates were obtained from a sample of aerial pathogen population collected across the Czech Republic in 2009. The spectra were determined on 28 barley varieties, possessing mostly specific resistance genes and inoculated with the isolates examined. Based on differentiation among each other, all 14 isolates showed their originality. None of the isolates exhibited increased pathogenicity to a variety with the non-specific resistance gene mlo9. All isolates were virulent on varieties carrying specific resistance genes Mla8 and Mlra, and in contrast, none of the isolates was virulent on a variety with the gene Mla23 and with a combination of genes Mla3, MlaTu2. Required characters, such as virulence on the resistance Lv or avirulence on the gene Mlh, were confirmed in some isolates. The results represent a significant step toward obtaining a complete set of information about every isolate before its including in the working genebank of the pathogen.

The paper deals with differentiation of regional entities within the Czech Republic based on study of human potential. The human factor has been defined by 22 variables from three domains: population density, demographic indicators and economic activities of inhabitants. The variables have been recorded by regions and selected districts of the C.R. in 1994-2004, for computation purposes they have been represented by their averages and standardized. Principal component method has been employed for solution, facilitating to reduce number of the variables without any considerable loss of information, to select the most significant factors for a given area and to aggregate the variables into larger groups (principal components). Two extensive methods have been constructed. The first one has been based on the C.R. regions, the second one on the data from the Vysočina Region districts. Solution results demonstrate different roles of the separate aggregate variables in regional development. While in the C.R. as a whole, the most difficult problem is population ageing, growth of urban population and unemployment, in the Vysočina Region it is the development of small villages and of countryside as a whole, and unemployment. The method used is suiteble generally for study and assessment of regional development and it brings many objective information for decision-making process.