Table 2.

Summary of stepwise multiple regression of difference between Yp or Yw simulated using control and global weather databases regressed on the difference between each of control and global weather database values for average daily T_max, average daily T_min, cumulative solar radiation and cumulative water deficit during pre- and post-anthesis (pre-A and Post-A) in wheat and rice and pre- and post-silking in maize (Pre-S and Post-S). Results include significance of variables, regression coefficients of the variables, percent of total variation explained by each independent variable (explanatory power, % of total Type I sum of squares), and the adjusted R² (Adj. R²) and F-test statistic for the stepwise regression

Database	Independent variables†	Coefficient‡	Explanatory power (%)	Adjusted R2	F-test
Maize
NOAA	Post-S solar radiation*	0.005	11
	Post-S water deficit***	0.008	16	0.25	11.1***
NCEP	Post-S solar radiation***	0.011	29
	Post-S water deficit***	0.024	49	0.77	105.5***
CRU	Post-S average daily Tmax***	−1.412	33
	Pre-S water deficit**	−0.005	17
	Post-S water deficit**	0.015	13	0.61	33.5***
NASA	Post-S solar radiation***	0.011	64
	Post-S water deficit***	0.030	22	0.85	136.2***
Rice
NOAA	Post-A solar radiation***	0.005	12	0.11	14.1***
NCEP	Pre-A average daily Tmax***	−0.879	45
	Post-A solar radiation***	−0.002	14	0.58	76.6***
CRU	Post-A average daily Tmax*	−0.379	5	0.04	5.5*
NASA	Post-A average daily Tmax**	−0.135	24
	Pre-A solar radiation***	0.005	10	0.33	27.6***
Wheat
NOAA	Pre-A solar radiation***	0.006	36	0.34	19.1***
NCEP	Pre-A average daily Tmin***	3.921	38	0.36	21.0***
CRU	Pre-A average daily Tmin***	−0.876	30
	Post-A solar radiation*	0.005	8	0.34	10.2***
NASA	Pre-A solar radiation***	0.004	44	0.43	32.9***

^†Variables were significant at

^*P < 0.05

^**P < 0.01, and

^***P < 0.001.

^‡Coefficients reported are b values from the multiple regression equation: y = a + b₁x₁ + b₂x₂ + b₃x₃ + … + e.