Application of precipitation indexes in agrometeorological modelling
2005
Rozbicki, T. (Szkola Glowna Gospodarstwa Wiejskiego, Warszawa (Poland). Katedra Inzynierii Wodnej i Rekultywacji Srodowiska)
The aim of the paper is to analyse the relationship between winter wheat yield and selected indexes of precipitation and soil moisture conditions and consequently the attempt of estimation optimum precipitation conditions for the yield. 6 meteorological stations are situated in three different climatic regions and winter wheat has been grown on different types of soil. The relationships between the yield and meteorological elements have been stated by the use of multiple regression model selection. The relationship equations between winter wheat yield and meteorological elements are strong. Precipitation anterior index, average amount of precipitation indexes and transformation of precipitation amounts (squared and square root) used as variables in the regression equations improve the correlation coefficients of these equations in comparison the equations including only simple meteorological elements
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