Table 1 Table of variables used in regression model for yield data in southwest Michigan along with equations and accuracy of regressions for frost and GDD variables
From: Effects of a warming trend on cool climate viticulture in Michigan, USA
Variable | Source | Equation | R2 |
|---|---|---|---|
GST | Historical model runs | Tavg of April–October months | |
PPT | Historical model runs | Total precipitation of April–October months | |
Frost | Regression | −10.410 + (1.389 × MayTmin) | 0.52* |
GDD | Regression, base 10 °C | −996.347 + (118.021 × JunTavg) + (237.501 × JulTavg) − (298.855 × AugTavg) + (67.267 × SepTavg) | 0.61* |
eGDD | Historical model run, base 10 °C | Tavg of April |