scholarly journals Influence of meteorological factors on and their harmfulness to poppy stands in the Czech Republic in 1961-2000 year

2004 ◽  
Vol 52 (2) ◽  
pp. 149-154
Author(s):  
František Muška
Keyword(s):  
Czech Republic ◽  
High Temperature ◽  
Wind Erosion ◽  
Meteorological Factors ◽  
High Sensitivity ◽  
Heavy Precipitation ◽  
Papaver Somniferum ◽  
Climatic Conditions ◽  
The Czech Republic ◽  
Group 2

Poppy (Papaver somniferum) is the traditional crop in the Czech Republic. The surveys of the appearance of some agents harmful to plants within the territory of the Czechoslovakia (Czech Republic) in 1961 – 2000 were used for elaboration of the set as given above. The particular agents are divided into four groups 1. The influence of drought (precipitation insufficiency, drought and influence of high temperature are involved in this group). 2. The influence of extraordinary heavy precipitation (there is hailstrom and other damage). 3. Damage caused by low temperature and frost 4.The influence of the harmful impact of wind weather (there are wind, erosion caused by wind and wind storm). The data, as above, testify the high sensitivity of the poppy to the course of climatic conditions. It has been confirmed that poppy is problematic crop.

scholarly journals Dothistroma needle blight Mycosphaerella pini E. Rostrup, a new quarantine pathogen of pines in the CR

2012 ◽  
Vol 50 (No. 7) ◽  
pp. 319-326 ◽  
Author(s):  
L. Jankovský ◽  
M. Bednářová ◽  
D. Palovčíková
Keyword(s):  
Czech Republic ◽  
Host Species ◽  
Pinus Nigra ◽  
Climatic Conditions ◽  
The Czech Republic ◽  
Picea Pungens ◽  
Quarantine Pathogen ◽  
Dothistroma Needle Blight ◽  
First Time ◽  
Needle Blight

Dothistroma needle blight caused by Mycosphaerella pini E. Rostrup was observed for the first time in the Czech Republic on an imported Pinus nigra Arnold in 1999. In 2000, it was also found in the open planting. During three years, it became an important pathogen of pines in the Czech Republic. Its occurrence was noticed in more than 50 localities, above all in the region of Moravia and Silesia and eastern Bohemia. In total, it was found on 10 species of pine (P. nigra Arnold, P.&nbsp;banksiana Lamb., <br />P. contorta Loudon, P. mugo Turra, P.&nbsp;leucodermis Ant., P. sylvestris L., P. cembra L., P. aristata Engelm., P.&nbsp;ponderosa P. et C.&nbsp;Lawson and P. jeffreyi Grev. et Balf.). Also Picea pungens &nbsp;Engelm. was noticed as a host species. In the Czech Republic, Pinus nigra is the most frequent host species of M. pini (80% localities) followed by Pinus mugo (27% localities). On Scots pine P. sylvestris, M. pini was noticed at two localities. The critical period for infection is in the Czech Republic from the second half of May until the end of June. The incubation period lasts about 2&ndash;4 months depending on climatic conditions. The first symptoms on the needles infected in the current year appear in August being clearly expressed from September to November.In the CR, Dothistroma needle blight spread probably with infected planting stock obtained from import at the end of the 80s and at the beginning of the 90s.

scholarly journals Economic results of agricultural enterprises in 2009

2011 ◽  
Vol 57 (No. 3) ◽  
pp. 103-117 ◽  
Author(s):  
F. Střeleček ◽  
J. Lososová ◽  
R. Zdeněk
Keyword(s):  
Czech Republic ◽  
Statistical Methods ◽  
Labour Productivity ◽  
Climatic Conditions ◽  
Agricultural Subsidies ◽  
The Czech Republic ◽  
Agricultural Enterprises ◽  
Slowing Down ◽  
Long Term Trends

Every year, an analysis of economic results of a sample of agricultural enterprises farming in various production and climatic conditions in the territory of the Czech Republic is carried out by applying economic statistical methods. Based on these results, long-term trends of economic results and their influencing factors are defined. This article is based on the analysis of development of economic indicators of a sample of agricultural enterprises in the Czech Republic in the period 2003&ndash;2009, divided according to the proportion of the LFA. The year 2009 brought, in comparison with the previous years, a strong deterioration in economic results. In 2009, the economic result was the worst during the whole monitored period. The decrease in the average number of workers together with the increase in labour productivity manifests a long-term tendency. Agricultural subsidies tend also to grow in the long-term even though their growth has been slowing down.

scholarly journals Rola dużych gospodarstw rolnych we wzroście produktywności pracy rolnictwa polskiego na tle sytuacji w innych wybranych krajach Unii Europejskiej

2018 ◽  
Vol 105 (1) ◽  
pp. 32-46 ◽  
Author(s):  
Wojciech Józwiak ◽  
Zofia Mirkowska ◽  
Wojciech Ziętara
Keyword(s):  
Czech Republic ◽  
Labor Productivity ◽  
Productivity Growth ◽  
The Czech Republic ◽  
Group 2 ◽  
Large Farms ◽  
The Impact ◽  
The Eu ◽  
Group 1

The study focuses on the analysis of labor productivity in Polish agriculture in 2005 and 2016 in comparison to selected EU-15 countries (group 1) and some countries that joined the EU after 2004. In group 1, Austria, Belgium, Denmark, the Netherlands and Germany are included, while in group 2 - the Czech Republic, Slovakia, Lithuania, Latvia and Hungary. The analysis particularly considers the role of large farms, the size of which was contractually agreed at 30 ha of UAA. The aim of the study was to determine the impact of large farms on the level of labor productivity in total farms and to determine the possibility of reducing the differences between labor productivity in Polish large farms in relation to analogous farms in EU-15 countries, and determining whether changes occurring in Poland differ from those occurring in large farms in other post-socialist countries. In both groups of countries there was a decrease in the number of farms and an increase in labor productivity in agriculture in general and in surveyed classes in large farms. In the countries of group 2. the rate of labor productivity growth was higher than in group 1. However, it slightly reduced the differences. Labor productivity in agriculture in the countries of Group 1 was significantly higher than in Group 2. The increase in the number and share of large farms in the structure of farms was positively correlated with labor productivity in agriculture.

Flight patterns of Hedya dimidioalba, Spilonota ocellana and Pandemis heparana (Lep.: Tortricidae) based on data from pheromone traps

2001 ◽  
Vol 37 (No. 4) ◽  
pp. 129-137 ◽  
Author(s):  
J. Stará ◽  
F. Kocourek
Keyword(s):  
Czech Republic ◽  
Climatic Conditions ◽  
Flight Activity ◽  
Pheromone Traps ◽  
Apple Orchards ◽  
Degree Days ◽  
Flight Pattern ◽  
The Czech Republic ◽  
Richards Function ◽  
Pandemis Heparana

During 1992–1999 the flight activity of Hedya dimidioalba, Spilonota ocellana and Pandemis heparana was investigated by pheromone traps placed in six apple orchards and a plum orchard in Central and East Bohemia. The cumulative catches of each species were plotted against time of the catch expressed as the sum of degree-days above 10°C (H. dimidioalba and S. ocellana) and 8°C (P. heparana) and approximated by Richards’ function. Common parameters of Richards’ function could be found for Hedya dimidioalba and Spilonota ocellana from all localities. In Pandemis heparana the flight pattern was different for groups of localities with similar climatic conditions. It was found that the beginning, peak and end of the flight activity of these species in the Czech Republic can be reasonably predicted.

scholarly journals Influence of the nitrogen-sulfur fertilizing on the content of different sulfur fractions in soil

2011 ◽  
Vol 57 (No. 12) ◽  
pp. 553-558 ◽  
Author(s):  
M. Kulhánek ◽  
J. Černý ◽  
J. Balík ◽  
V. Vaněk ◽  
O. Sedlář
Keyword(s):  
Czech Republic ◽  
Oilseed Rape ◽  
Field Experiments ◽  
Climatic Conditions ◽  
Winter Rape ◽  
The Czech Republic ◽  
Hydroiodic Acid ◽  
Soil Sulfur

&nbsp; Precise field experiments were established at 3 sites with oilseed rape under different soil-climatic conditions in the Czech Republic (Humpolec, Hněvčeves and Uhř&iacute;něves) in the years 2008&ndash;2010. In this experiment, four fertilizing treatments with increasing S rate were evaluated. The contents of bioavailable (S<sub>W</sub>), adsorbed (S<sub>ads</sub>), occluded (S<sub>ocl</sub>), and hydroiodic acid (HI) reducible (S<sub>HI</sub>) sulfur were measured. The contents of the fractions within the studied sites in the samples collected before fertilizers application were comparable. The S<sub>W</sub>, S<sub>ads</sub> a S<sub>ocl</sub> contents did not exceed 10 mg S/kg. The S<sub>HI</sub> contents differed depending on site and year. Fertilizing using S as CaSO<sub>4</sub> positively influenced the contents of S<sub>W</sub>, S<sub>ads</sub>, and S<sub>HI</sub> in soil. Sulfur fertilizing had also the positive tendencies to increase the winter rape yields but the differences between studied treatments were not statistically significant.

scholarly journals Some new findings of Cryphonectria parasitica (Murrill) M. E. Barr in the Czech Republic

2010 ◽  
Vol 46 (No. 1) ◽  
pp. 19-24 ◽  
Author(s):  
L. Jankovský ◽  
D. Palovčíková ◽  
P. Haltofová
Keyword(s):  
Czech Republic ◽  
Cryphonectria Parasitica ◽  
Climatic Conditions ◽  
Vegetative Compatibility ◽  
Chestnut Blight ◽  
The Czech Republic ◽  
Vegetative Compatibility Groups ◽  
Ornamental Tree ◽  
New Information ◽  
New Findings

This study provides new information on the distribution of the chestnut blight agent Cryphonectria parasitica and its vegetative compatibility groups (VCGs) in the Czech Republic. This study has revealed the presence of the disease in six localities. The VCG tests showed that each locality was represented by a single distinct VCG, which was different from the others collected in the country. The tests with 31 European testers of C.&nbsp;parasitica VCGs (EU-1 to EU-31) had assigned Czech isolates to VCGs EU-1, EU-4, EU-12, EU-13, EU-15, and EU-19. Moreover, the study showed that in the Czech Republic chestnut blight attacks young trees, not exceeding 35 years of age, and that climatic conditions in the country are suitable for C. parasitica. As two of the diseased localities were ornamental tree nurseries, one might expect its further spread over the country as a result of plant trade. The origin of infection remains unknown in all the localities where C.&nbsp;parasitica was detected. &nbsp;

scholarly journals Comparison of region-of-influence methods for estimating high quantiles of precipitation in a dense dataset in the Czech Republic

2009 ◽  
Vol 13 (11) ◽  
pp. 2203-2219 ◽  
Author(s):  
L. Gaál ◽  
J. Kyselý
Keyword(s):  
Czech Republic ◽  
Heavy Precipitation ◽  
Regional Homogeneity ◽  
Sensitivity Analyses ◽  
Mean Annual Precipitation ◽  
Homogeneity Test ◽  
The Czech Republic ◽  
High Quantiles ◽  
Site Characteristics ◽  
Precipitation Events

Abstract. In this paper, we implement the region-of-influence (ROI) approach for modelling probabilities of heavy 1-day and 5-day precipitation amounts in the Czech Republic. The pooling groups are constructed according to (i) the regional homogeneity criterion (assessed by a built-in regional homogeneity test), which requires that in a pooling group the distributions of extremes are identical after scaling by the at-site mean; and (ii) the 5T rule, which sets the minimum number of stations to be included in a pooling group for estimation of a quantile corresponding to return period T. The similarity of sites is evaluated in terms of climatological and geographical site characteristics. We carry out a series of sensitivity analyses by means of Monte Carlo simulations in order to explore the importance of the individual site attributes, including hybrid pooling schemes that combine both types of the site attributes with different relative weights. We conclude that in a dense network of precipitation stations in the Czech Republic (on average 1 station in a square of about 20×20 km), the actual distance between the sites plays the most important role in determining the similarity of probability distributions of heavy precipitation. There are, however, differences between the optimum pooling schemes depending on the duration of the precipitation events. While in the case of 1-day precipitation amounts the pooling scheme based on the geographical proximity of sites outperforms all hybrid schemes, for multi-day amounts the inclusion of climatological site characteristics (although with much lower weights compared to the geographical distance) enhances the performance of the pooling schemes. This finding is in agreement with the climatological expectation since multi-day heavy precipitation events are more closely linked to some typical precipitation patterns over central Europe (related e.g. to the varied roles of Atlantic and Mediterranean influences) while the dependence of 1-day extremes on climatological characteristics such as mean annual precipitation is much weaker. The findings of the paper show a promising perspective for an application of the ROI methodology in evaluating outputs of regional climate models with high resolution: the pooling schemes might serve for defining weighting functions, and the large spatial variability in the grid-box estimates of high quantiles of precipitation amounts may efficiently be reduced.

scholarly journals Regional frequency analysis of heavy precipitation in the Czech Republic by improved region-of-influence method

2009 ◽  
Vol 6 (1) ◽  
pp. 273-317 ◽  
Author(s):  
L. Gaál ◽  
J. Kyselý
Keyword(s):  
Czech Republic ◽  
Growth Curves ◽  
Heavy Precipitation ◽  
Regional Homogeneity ◽  
Regional Frequency Analysis ◽  
Homogeneity Test ◽  
Conventional Model ◽  
The Czech Republic ◽  
Site Analysis ◽  
Regional Frequency

Abstract. The region-of-influence (ROI) approach is implemented for modelling the probabilities of heavy 1-day and 5-day precipitation amounts in the Czech Republic. Compared to the previous study for Slovakia (Gaál et al., 2008), an improved ROI methodology that makes use of a regional homogeneity test for assigning sites to pooling groups, is applied. Two basically different approaches to forming the pooling groups in which groups of sites are gradually built up and cut down, respectively, are combined. A sensitivity analysis, which examines the performance of the ROI models after changing the set of input site attributes that serve for determining the sites' similarity, is carried out. Finally, several frequency models that include the ROI pooling schemes, a conventional model based on fixed regions, and an at-site analysis are compared by means of Monte Carlo simulations. We conclude that, regardless of the duration of precipitation, the ROI pooling scheme based on the actual proximity of sites (latitude and longitude) outperforms the other frequency models in terms of the root mean square error of the growth curves.

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