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Wheat

Impacts of Day Versus Night Temperatures on Spring Wheat Yields

A Comparison of Empirical and CERES Model Predictions in Three Locations

^a Energy and Environment Directorate, Lawrence Livermore National Lab., Livermore, CA 94550
^b International Maize and Wheat Improvement Center (CIMMYT), Wheat Program, Apdo, Postal 6-641, 06600 Mexico D.F., Mexico

^* Corresponding author (dlobell{at}llnl.gov)

Received for publication July 14, 2006. Trends in recent temperature observations and model projections of the future are characterized by greater warming of daily minimum (tmin) relative to maximum (tmax) temperatures. To aid understanding of how tmin and tmax differentially affect crop yields, we analyzed variations of regional spring wheat yields and temperatures for three irrigated sites in western North America that were characterized by low correlations between tmin and tmax. The crop model CERES-Wheat v3.5 was evaluated in each site and used to project future response to temperature changes. Tmin and tmax exhibited distinct historical correlations with yields, with CERES successfully capturing the observed relationships in each region. In the Yaqui Valley of Mexico, historical yields were strongly correlated with tmin but not tmax. However, CERES projections of response to increased tmin or tmax (holding other variables constant) were similar (6% °C^–1), indicating that the apparent historical importance of tmin mainly results from covariation between temperatures and solar radiation and not greater direct effects of tmin on yields. In the San Luis-Mexicali Valley of Mexico and in the Imperial Valley of California, the opposite was observed: historical yield correlations with tmin and tmax were similar, but projected responses to tmax were roughly three times larger than tmin. The latter is explained by opposing effects of tmin and tmax on grain filling rates in CERES, with higher tmin increasing harvest indices. This model mechanism was not clearly supported by historical data and remains an area of uncertainty for projecting yield responses to climate change.

Abbreviations: CIMIS, California Irrigation Management Information System • University of East Anglia • DSSAT, decision support system for agrotechnology transfer • DTR, diurnal temperature range (tmax – tmin) • ET₀, reference evapotranspiration • HI, harvest index • IV, Imperial Valley, California • rad, solar radiation • SV, San Luis and Mexicali Valleys, Mexico • tmax, daily maximum temperature • tmean, daily mean temperature • tmin, daily minimum temperature • YV, Yaqui Valley, Mexico

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