Abstract

Aim of the study. Indication of changes in maize yield for grain and silage in connection with the observed climate changes. Material and methods.Data from field experiments of the experimental station of the University of Warmia and Mazury since 1972 as well as meteorological data (air temperatures and precipitation). Calculations using the trend analysis of original variables and determined indexes (GDD, SPI, Sielianinov index), weather-yield linear models and elements of spectral analysis. Results and conclusions. Changes in thermal conditions were demonstrated based on average air temperatures and the GDD index. There were no significant changes in atmospheric precipitation, showing a small periodicity of ten years, and no changes in monthly frequency with a deficit of precipitation (SPI analysis). It was demonstrated that changes in thermal conditions as well as the introduction of new maize varieties over fifty years significantly improved plant maturation, which resulted in a significant increase in grain weight. However, this did not affect the yield of maize for silage, neither in crop rotation nor in the monoculture system.

Highlights

  • Maize originates from Latin America, it is a crop that requires appropriate technologies and a selection of suitable varieties to be grown in the soil and climate conditions prevalent in Poland, especially in its north-eastern part

  • Such was the aim of the study reported below, which relies on a field experiment, started in the past and providing data for our current analysis of the response of maize to weather conditions in north-eastern Poland

  • The data obtained for our study indicate that the hydrothermal conditions in north-eastern Poland were deteriorating over the analysed multi-annual period

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Summary

Material and methods

Data from field experiments of the experimental station of the University of Warmia and Mazury since 1972 as well as meteorological data (air temperatures and precipitation). Calculations using the trend analysis of original variables and determined indexes (GDD, SPI, Sielianinov index), weather-yield linear models and elements of spectral analysis

Results and conclusions
INTRODUCTION
MATERIAL AND METHOD
RESEARCH RESULTS
CONCLUSIONS
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