El objetivo del trabajo fue estimar localmente los coeficientes de tanque (Kp) para calcular la evapotranspiración del cultivo de referencia según Penman-Monteith modificado por FAO (ETo PM-FAO). Se utilizó una serie de datos climáticos correspondiente a 34 años (1975-2008) de la Estación Experimental INIA Las Brujas (EELB), representativa de la zona sur del país. Los años pares se usaron para calibrar un Kp para cada mes y para cada año (Kpcalibrado) y los años impares se usaron para su validación. Se probaron cuatro métodos de estimación de la ETo, mediante el producto de la evaporación mensual (Eo) por distintos coeficientes Kp (ETo = Eo x Kp). Los coeficientes Kp evaluados fueron: Kp-FAO; Kp-Corsi; Kp-calibrado y Kp calculado como el promedio de los Kp-calibrados obtenidos en el período octubre-abril. Para evaluar el ajuste de los cuatro métodos se hizo la comparación de los valores de ETo estimados a partir del valor de Eo mensual de los años impares y sus respectivos Kp con el método patrón (ETo PM-FAO) para los mismos años, mediante la prueba t de Student para datos apareados (α= 0,05). El uso del Kp calibrado dio la mejor estimación de la ETo PM-FAO. El Kp obtenido fue 0,71 y su utilización durante toda la estación de riego permitió una buena estimación para la zona sur del país. El empleo de este coeficiente único para corregir el dato de evaporación de tanque es una herramienta simple, fácil de adoptar por los productores y constituye una buena estimación de la ETo.
During the last decade, national irrigation systems have expanded to summer field crops and grass, in adition to intensive traditionally irrigated crops. The maximum reference crop evapotranspiration (ETo) is the starting point for their design. Nowadays the value widely used among designers, is the maximum monthly averaged ETo, usually January. This could lead to under-sized equipments which could generate water-deficits during the critical growth stages. The maximum ETo is not a single value as would be the absolute maximum, it varies according to the period considered (daily, weekly, decadic, monthly) and the probability of non-exceedence. In this study daily ETo time series, between 28 and 35 years, recorded in January at the five experimental stations of National Institute of Agricultural Research (INIA) were analyzed. Daily ETo values with 80%probability of non-exeedence were significantly higher than those calculated based on decadic or monthly data. The latter two were quite similar, ranging from 0.1 to 0.3 mm d-1 in the different experimental stations. The aim of this paper is to recommend ETo values to design irrigation systems in Uruguay allowing maximum productive response. The maximum yield does not necessarily correspond with the maximum economic return. Thus is necessary to continue research to evaluate the productive response to different maximum irrigation doses for the different design flows. As a result, a map of Uruguay with ETo isolines based on decadic data with 80% probability of non-exeedence is presented. The equipments designed with this method meet the crop water requirements with a 80% non-exceedence probability (four over five yeas), irrigating 20 hours a day. However, if watering times are increased to 24 hours a day the historical maximum of crop water requirements is covered, except in Salto and Tacuarembó, in which crop demand is covered with a 96 and 97% non-exceedence probability respectively.
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