000			02888nam a2200313 a 4500
003			OSt
005			20251104105755.0
007			cr ||||||a|c|a
008			230601b2019 mx ||||fom||| 001 0 eng d
040			_erda
100	1		_9130073 _aDe Acha Miranda, Mario Daniel
245	1	0	_aSimulation and calibration of extended hortsyst model in predicting macronutrients in tomato (Solanum licopersicum L.) / _cPor Mario Daniel De Acha Miranda; director de tesis Irineo Lorenzo López Cruz.
264		1	_aChapingo, México : _bEl autor, _c2019
300			_a1 recurso en línea (46 páginas): _bFiguras y tablas.
336			_2rdacontent _atexto _btxt
337			_2rdamedia _acomputadora _bc
338			_2rdacarrier _arecurso en línea _bcr
502			_bMIAUIA _cIrrigación y Mecánica _d2019. _gMAE
504			_aIncluye referencias bibliográficas: páginas 18-20, 43-46
520			_aThe 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.
650		4	_9113767 _aTomate _xSistemas de Producción
650		4	_969245 _aLuz _xEfecto en tomate
650		4	_940556 _aFertilizantes _xEfecto en tomate
650		4	_9127151 _aTomate _xNutrición
650		4	_9113704 _aTomate _xCultivos en invernadero
700	1		_967795 _aLópez Cruz, Irineo Lorenzo _edirector.
856			_uhttp://10.13.5.2/tesis/tm/De_Acha_Miranda_Mario_Daniel.pdf _zDESCARGAR PDF
942			_2Clasificación Universidad Autónoma Chapingo _cTD
999			_c218875 _d218875