Drought Avoidance Assessment for Summer Annual Crops Using Long-Term Weather Data
Larry C. Purcell*,a,
Thomas R. Sinclairb and
Ronald W. McNewc
a Univ. of Arkansas, Dep. of Crop, Soil, and Environ. Sci., 1366 W. Altheimer Drive, Fayetteville, AR 72704
b USDA-ARS, Univ. of Florida, Agron. Physiol. and Genet. Lab., IFAS Bldg. no. 350, 2005 SW 23rd St., P.O. Box 110965, Gainesville, FL 32611-0965
c Agric. Stat. Lab., Agriculture Annex 101, Univ. of Arkansas, Fayetteville, AR 72704

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Fig. 1. Cumulative probability (P) of (A) minimum temperature (Tmin) being less than indicated values on day of year (DOY) 75, 100, 125, and 125 at Urbana, IL, and (B) Tmin being less than 0°C and 5°C for each DOY at Urbana, IL.
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Fig. 2. Cumulative probability (P) of 7-d running sum of water deficit being greater than 50 mm vs. day of year (DOY) for Athens, GA, and Fayetteville, AR. Shown is a regression of P values vs. DOY for Athens in the spring. Similar regression equations were made for each location as the P of water deficit increased in spring and decreased later in the year. The regression equations were used to determine the portion of the growing season in which P 0.20 for water deficit exceeded 50 mm.
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Fig. 3. (A) Long-term average values of water use efficiency during July and August vs. average maximum daily temperature during July and August and (B) average water use efficiency vs. the difference between maximum ( Tmax) and minimum (Tmin) temperatures for 16 locations in either the Midsouthern, Southeastern, Midwestern, or Northern Great Plains regions of the United States.
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Fig. 4. Average water use efficiency vs. day of year during the growing season for Tifton, GA; Stuttgart, AR; Urbana, IL, and Menno, SD.
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Fig. 5. Water deficit, averaged over 98 yr for each day of year at Urbana, IL, was calculated as the difference between precipitation and potential evapotranspiration using running sums for 7, 15, 21, and 27 d.
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Copyright © 2003 by the American Society of Agronomy.