Table 4. Regression coefficients and determination coefficients (R2) of statistical model for grain yield in response to temperature variables (per unit).
Sub-regions | Considering HDD and GDD (typeⅠ) | Considering only HDD (typeⅡ) | |||||
---|---|---|---|---|---|---|---|
β0 | β1 | β2 | R2 | β0 | β2 | R2 | |
S-NMLYtz | 0.011 | 0.0005 | -0.011** | 0.138 | 0.013 | -0.012** | 0.134 |
S-SWP | 0.024 | 0.0009* | -0.008** | 0.173 | 0.021 | -0.007** | 0.112 |
DE-SMLYtz | 0.005 | -0.0007 | -0.009** | 0.215 | 0.004 | -0.009** | 0.208 |
DE-SC | 0.007 | -0.0006 | -0.010** | 0.295 | 0.006 | -0.011** | 0.290 |
β1 and β2 are the coefficients for ΔGDD and ΔHDD in Eq (4), respectively, which represent the sensitivities of grain yield to temperature variables. Significance of β1, β2 was tested at p<0.05 (*) and p<0.01 (**). Numbers with black bold indicate the regression coefficients for the selected type of statistical model. S-NMLYtz, single-season rice sub-region in the northern Middle and Lower Reaches of Yangtze River; S-SWP, single-season rice sub-region in Southwest Plateau; DE-SMLYtz, double-season early rice sub-region in the southern Middle and Lower Reaches of Yangtze River; DE-SC, double-season early rice sub-region in Southern China.