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• The Examination of the Effects of Value Modifying Factors on Dairy Farms

  36-40

  József Horváth

  Sándor Kovács

  Views:

  64

  We wish to present a method to quantify the value modifying effects when comparing animal farms. To achieve our objective, multi-variable statistical methods were needed. We used a principal component analysis to originate three separate principal components from nine variables that determine the value of farms. A cluster analysis was carried out in order to classify farms as poor, average and excellent. The question may arise as to which principal components and which variables determine this classification.
  After pointing out the significance of variables and principal components in determining the quality of farms, we analysed the relationships between principal components and market prices. Some farms did not show the expected results by the discriminant analysis, so we supposed that the third principal component plays a great role in calculating prices. To prove this supposition, we applied the logistic regression method. This method shows how great a role the principal components play in classifying farms on the basis of price categories.

• The role of leaf area and photosynthesis in optimising the sowing date of maize

  5-10

  Enikő Bene

  Mihály Sárvári

  Views:

  120

   

  Our sowing date experiment took place in the Demonstration Garden of Institution of Plant Sciences, Agricultural Center of University of Debrecen, in 2012–2014. The thesis contains data of test year 2014. Our purpose, besides several other examinations, was to observe how sowing date influences leaf area index and activity of photosynthesis of maize hybrids, and how those factors affect fruiting. In the experiment we monitored the change of the leaf area index and the photosynthesis of hybrids with four different growing seasons.

  Based on the results, it can be concluded that most of the examined hybrids reached their smallest leaf area with the third sowing date and with the highest yield results. Hybrid Da Sonka had the largest leaf area (4.10 m² m^-2), and hybrid DKC 4590 produced the highest yield (13.16 t ha^-1)

  with the third sowing date.

  During testing the photosynthetic capacity, the extremely high performance of the youngest plants with the third sowing date is outstanding, which can be explained by the different ripening periods. Examination of the correlation between the photosynthetic capacity and the yield, by linear regression analysis, also proves that photosynthesis has a determinative role in fruiting.

  The results obtained confirm that not only the environmental and agricultural factors in the growing season have effect on the yield, but also other factors like the leaf area index and the photosynthesis are determinative parameters, and all those factors together, modifying effects of each other, develop average yields.

• Effects of different crop years and sowing date on maize yield

  93-96

  Gergő Sedlák

  Adrienn Széles

  Views:

  123

  We carried out the tests in the flood meadow soil formed on the alluvial cone of Nagykereki, Sebes-Körös belonging to the Bihar plane small region. The aim of the study was to analyse the effect of the different sowing date of maize on the yield trend based on a comprehensive study conducted for 6 years (2007–2012).

  The sowing date of maize hybrids is a factor that significantly influences yield, however, its effect is not significant in each crop year. In the years when the date of sowing has a modifying effect, the reliable yield level can be reached with optimal sowing date management (24 April).

  The advantage of early sowing (10 April) proved to be dominant in the year of 2012, the seeds were placed into the still wet soil therefore shooting was more balanced. Maize seeds sown at the time of optimal (24 April) and late (10 May) sowing dates were placed into the already dry soil, which deteriorated germination and the strength of early initial development that had an effect on the yield.

• Az elmúlt tíz év változásainak vezetői értékelése különböző szervezeti formában működő vállalatoknál

  82-86

  Gábor Kerékjártó

  Views:

  98

  revolutions and changes. Effects of these changes can be sensible at all parts of agricultural production. It results in new ownership and organisation structure. Agriculture has to suit to the new circumstances of changed firm-size and structure. These kinds of changes essentially define conditions of agricultural production in the future, and they have an affect on husbandry of enterprises.
  To be succeed in managing changes, we have to know the reasons of these alterations and nature of them. It is very important to get to know the advantages and disadvantages of the typical change-management methods and its typology. These methods are more elaborated and widespread at industrial enterprises. It is necessary to get to know the nature, characteristics and reasons of changes, and we should work out ways agricultural companies, taking notice of their speciality.
  The methods and means of examinations
  We aimed to point out what kind of changing processions were typified the activity of agricultural ventures. What are the speciality, strains, the arousing and obstructive factors of nowadays changes. We made questionnaire and sent them to numerous enterprises.
  Most of the answers show that leaders are „floating with flow” and most part of their power is used to fight back actually challenges. Generally consciousness is missing, so they are not govern the events still more they are passive objects of occurrence.
  Naturally, the given answers show, that the most important changes of past are changing of markets, importance of quality production and changes in the structure of enterprises. And – especially at companies, which deal with plant growing –, modifying of structure because of compensation.