Comparison of Two Onion Irrigation Scheduling Programs

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Abstract
Two onion (Allium cepa L.) irrigation scheduling procedures were compared in field studies over a 3-year period. The McSay–Moore model uses volume of distilled water evaporated from calibrated Bellani atmometers as a basis for predicting irrigation. This model tells when to irrigate, but not how much to apply. The ARS/USDA model uses energy and aerodynamic equations to make estimates of evaporation rates from meteorological data. This model not only predicts when to irrigate, but also the amount to apply. Given the conditions for these experiments, onion yields and water use efficiencies were greater with the ARS/USDA than with the McSay–Moore model.

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