02888nam a2200313 a 4500 OSt 20251104105755.0 cr ||||||a|c|a 230601b2019 mx ||||fom||| 001 0 eng d rda 130073 De Acha Miranda, Mario Daniel Simulation and calibration of extended hortsyst model in predicting macronutrients in tomato (Solanum licopersicum L.) / Por Mario Daniel De Acha Miranda; director de tesis Irineo Lorenzo López Cruz. Chapingo, México : El autor, 2019 1 recurso en línea (46 páginas): Figuras y tablas. rdacontent texto txt rdamedia computadora c rdacarrier recurso en línea cr MIAUIA Irrigación y Mecánica 2019. MAE Incluye referencias bibliográficas: páginas 18-20, 43-46 The potential of greenhouse crops is latent in Mexico, but this has to be done with restraint so as not to continue increasing pollution and save production costs with the use of fertilizers. It is during the vegetative phase that the inflorescence meristems begin their transformation, resulting in future bunches and tomato fruits. The HortSyst dynamic model which predicts dry matter production (DMP) was calibrated and evaluated using data from the summer to fall 2018, actualized crop parameters and a time step of 5 min, for tomato grown from transplant until the beginning of the reproductive phase in a plastic greenhouse located at the central part of Mexico. The HortSyst model performance without calibration as predicting DMP had an efficiency (EF) of 0.91 and a radiation use efficiency (RUE) of 4.86 g MJ-1 m-2 PAR, failing to simulate the magnitude of the fluctuation between measurements, compared with the calibrated that failing to simulate the fluctuation pattern through measurements with EF 0.99 and RUE 5.89 g MJ-1 m-2 PAR. In order to modeling macronutrients (N, P, K, Ca and Mg) concentrations, Gaussian curves and a polynomial curve using as an input cumulative relative development rate (RDRc) were used,which resulted in a coefficient of determination (R2) of 0.99 for N, P, Ca and Mg models and R2 of 0.86 for K model. To determine macronutrients uptake, the concentration of the nutrients was multiplied by the weight produced, resulting in an EF greater than 0.98 in the simulations for all macronutrients. 113767 Tomate Sistemas de Producción 69245 Luz Efecto en tomate 40556 Fertilizantes Efecto en tomate 127151 Tomate Nutrición 113704 Tomate Cultivos en invernadero 67795 López Cruz, Irineo Lorenzo director. http://10.13.5.2/tesis/tm/De_Acha_Miranda_Mario_Daniel.pdf DESCARGAR PDF Clasificación Universidad Autónoma Chapingo TD 218875 218875 0 0 local 0 1 0 TesDigM BD BD E_L 2023-06-01 0 Tesis digital 2023-06-01 00:00:00 2023-06-01 TD