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The first step of the modelling has shown that BioSTAR was able to predict the aggregated yearly yields for winter wheat and maize in the region at a satisfactory level of accuracy, but individual years stand out with stronger than average (9.6% for maize and 11.2% for winter wheat) deviation of up to 31.7% from the observed yield.
Short term weather variations affect yearly yields, but the climate determines the disposition of a region.
Yearly yields show a significant (P < 0.05) and positive dependency on water supply in summer for the eastern Austrian lowlands.
Regression analyses are used for evaluating the relation between yearly yields and spring temperatures or water supply in summer, respectively.
While variables in most regressions were positively related to yearly yields, regressions based solely on spring temperature showed negative dependencies.
This comprises linear regressions of yearly yields on the yearly precipitation sum in JJA, yearly yields on the yearly CWB in JJA and a multiple linear regression of yearly yields on the yearly CWB in JJA and mean temperature in MAM.
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