The aim of the paper is to analyze relationship between winter wheat yield and selected indexes of precipitation and soil moisture conditions and consequently the attempt of estimation optimum precipitation condidons for the yield. Six meteorological stations and related to them phonological stations have been the source of long-term meteorological, phenological and winter wheat yield data.The stations are situated in three different climatic regions and winter wheat has been grown on diffetent types of soil. The relationships between the yield and meteorological elements have been stated by the use of multiple regression model selection. Winter wheat yield was taken as dependent variable and meteorological elements of air temperature, humidity, soil moisture and precipitation and time distribution of precipitation were taken as independent variables. The relationship equations between winter wheat yield and meteorological elements are strong and adjusted determination coefficients are in the range 69.5-81.9%. 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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