Recent advances in understanding the role of the El Nino- Southern Oscillat
ion (ENSO) in climate variability present opportunities for improving effic
iency in agricultural production. We investigated the relationships between
ENSO, climate and maize yields in the U.S. cornbelt, using both observed d
ata and crop simulations. Using a time-series of sea-surface temperature an
omalies (SSTA) from the NINO3 region of the Pacific Ocean and historical re
cords of temperature and precipitation spatially averaged across 51 mid-wes
tern climate divisions from 1950 to 1995, we ran linear correlation tests a
t three different lags. Northern hemisphere wintertime SSTAs were significa
ntly correlated with air temperature at the 95% level of confidence in both
the previous (r = -0.32) and following (r = 0.41) summer, but had opposite
signs. Correlations with precipitation were significant only in the summer
preceding the ENSO event (r = 0.31). Detrended maize yield for the same ar
ea and time period was also significantly related to SSTAs in the winter af
ter harvest, with a correlation coefficient of 0.39, indicating that ENSO a
ccounts for approximate to 15% of interannual maize yield variability in th
e cornbelt. Crop growth simulations at seven sites across the region sugges
t that water stress in July and August is the primary cause of lowered corn
yield in La Nina years, but shortened grainfill period due to higher tempe
ratures is also important. The benefits of El Nino-related rainfall and coo
ler temperatures are less pronounced than the negative impacts of warmer an
d dryer La Ninas. However, advance warning of both ENSO phases may present
opportunities for improved crop management in the cornbelt. Copyright (C) 1
999 Royal Meteorological Society.