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. 2016 Jul 19;6:29777. doi: 10.1038/srep29777

Table 1. Summary of statistically significant maize yield responses (P < 0.1) for a one unit increase in monthly cumulative precipitation and maximum temperature.

Region-Location Maximum Temperature Cumulative Precipitation
March April May June July August September March April May June July August September
kg ha−1 oC −1 kg ha−1 mm−1
North-Belle Mina 599.5 −1262.4 −1089.0
North-Blairsville
Central-Prattville −735.6 608.9 14.1 8.7 15.4
Southcentral-Tifton 268.4 −523.5 8.0 18.7 14.5 −22.1
South-Fairhope −759.7 −13.7 −10.9
Southeastern U.S. average −610.4 −644.4 −9.2 6.3

The coefficients were estimated fitting linear regression models between first year differences (year-to-year changes) of yield (kg ha−1), of monthly maximum temperature (left), and monthly cumulative precipitation (right) generated for each of the 5 locations and each of the 7 growing season months from 1981–2013. The number in each cell is the month-specific yearly linear trend and was independently generated by holding constant the variation in all other cells. The location-specific data were aggregated to generate a southeastern US average for the same 7 months. Dashes denote statistically non-significant maize yield responses (P > 0.1).