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Autor
Kobus Paweł (Warsaw University of Life Sciences - SGGW, Poland)
Tytuł
Modelling wheat Yields Variability in Polish Voivodeships
Źródło
Zeszyty Naukowe SGGW w Warszawie. Problemy Rolnictwa Światowego, 2010, t. 10(25), z. 3, s. 33-40, rys., tab., bibliogr. 10 poz.
Scientific Journal Warsaw University of Life Sciences SGGW - Problems of Word Agriculture
Słowa kluczowe
Zboża, Produkcja zboża, Ryzyko w rolnictwie, Zmienność
Corn, Corn productions, Risk in agriculture, Variability
Uwagi
streszcz., summ.
Abstrakt
The paper presents an analysis of wheat yields variability in the voivodeships of Poland. The main aim of the study was to find out what are the statistical relationships between the wheat yield variability and the following factors: arable area, size of wheat production area, share of arable land used for wheat production, land quality and average yield. For that purpose a multiple linear regression was applied. It was found out that the detected spatial autocorrelation of wheat yields variability measured by standard deviations can be explained in 75% by the fitted model. Two of the considered variables showed a significant negative effect on this variability: the logarithm of arable area and the land quality, while the other two: the average wheat yield and the wheat production area displayed a significant positive effect on the variability. The effect of share of arable land used for wheat production itself was not significant. (original abstract)
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Bibliografia
Pokaż
  1. Bivand R.S., Pebesma E.J., Gómez-Rubio V. [2008]: Applied Spatial Data Analysis with R. Springer, New York.
  2. Eurostat [2010]. Statistical Office of the European Communities. [Available at:] http://ec.europa.eu/eurostat. [Accessed: June 2010].
  3. GADM. Database of Global Administrative Areas. [2010]. [Available at:] http://gadm.org/ [Accessed June 2010].
  4. Górski T., Górska K. [2006]: The effects of scale on crop yield variability. Agric. Systems 78, pp. 425-434.
  5. Grønlund A., Njøs A., Vestgarden L.S., Lyngstad I. [2006]: Utilisation of agricultural databases for statistical evaluation of yields of barley and wheat in relation to soil variables and management practices. Acta Agric. Scand. B 56, pp. 1-8.
  6. Haberle J., Mikysková J. [2006]: Relation of cereals yields and variability to soil-climate and production characteristics of districts of the Czech Republic. Journal of Central European Agriculture. vol. 7 no. 4, pp. 661-668.
  7. Kobus P. [2009]: Wheat yields variability in Poland at NUTS 2 level in context of production risk. Scientific Journal of Warsaw University of Life Sciences series Problems of World Agriculture, vol. 6 (XXI), pp. 51-58.
  8. Kobus P. [2010]: Changes of level and variability of wheat production in EU Member States, period 1961-2008. Economic Science for Rural Development no. 21, pp. 90-99.
  9. R: A language and environment for statistical computing. [2009]. R Development Core Team. R Foundation for Statistical Computing, Vienna, Austria. [Available at:] http://www.R-project.org. {Accessed: September 2010].
  10. Rocznik Statystyczny Rolnictwa 2009 [2010]. Zakład Wydawnictw Statystycznych GUS, Warsaw.
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ISSN
2081-6960
Język
eng
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