Ramón Arteaga Ramírez

Evapotranspiration and Crop Water Stress Index in Mexican Husk Tomatoes (Physalis ixocarpa Brot)

Rutilo LopezLopez1, Ramon Arteaga Ramirez2, Ignacio Sanchez-Cohen1, Waldo Ojeda Bustamante3 and Victor Gonzalez-Lauck1 1Instituto Nacional de Investigaciones Forestales Agricolas y Pecuarias, Km. 1 Carretera Huimanguillo-Cardenas. 86400, Huimanguillo, Tabasco, 2Postgrado en Ingenieria Agricola y Uso Integral del Agua. Universidad Autonoma Chapingo. Km 38.5 Carretera Mexico-Texcoco. 56230, Chapingo, Texcoco, 3Instituto Mexicano de Tecnologia del Agua, Paseo Cuauhnahuac 8532, Progreso, Jiutepec, Morelos, 62550, Mexico

Relleno de series diarias de precipitación, temperatura mínima, máxima de la región norte del Urabá Antioqueño

Agroclimatic studies require the use of time series of meteorological variables, which generally present missing data limiting its use, so filling methods are used. The purpose of this study was to determine the reliability of filling methods: US National Weather Servicie (WS), rational deductive (RD), multiple regression (MR) and linear regression (LR) and from them use the best to fill the data series of precipitation, maximum and minimum temperature during the period 2006- 2009 of the stations located in the northern area on b anana axis from Uraba Antoquia. The base station was Pista Indira, and Uniban, Turbo, Aeropuerto and Prado Mar stations were used as neighbors. Standard error was made with: square root of the mean squared error (RCCME), coefficient of determination (R 2 ), mean absolute error (MAE), relative error (RE) and Willmotts concordance index (d). RM and RL methods presented similar RCCME and MAE to those of WS, which would lead to have similar errors but due to R 2 of the first were 0.8 and the index (d) for WS was higher or similar to the other method, the latter was used to fill in the series.