HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes

ABSTRACT The HortSyst model is a new discrete time model for describing the dynamics of photo-thermal time (PTI), total dry matter production (DMP), N uptake (Nup), leaf area index (LAI), and evapotranspiration (ETc) for greenhouse crops. The first three variables are considered as state variables a...

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Autores principales:	Martínez-Ruiz,Antonio, López-Cruz,Irineo L., Ruiz-García,Agustín, Pineda-Pineda,Joel, Prado-Hernández,J. Víctor
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2019
Materias:	Decision support system extraction curve potential growth model Solanum lycopersicum water consumption
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392019000100089
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spelling	oai:scielo:S0718-583920190001000892019-02-19HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoesMartínez-Ruiz,AntonioLópez-Cruz,Irineo L.Ruiz-García,AgustínPineda-Pineda,JoelPrado-Hernández,J. Víctor Decision support system extraction curve potential growth model Solanum lycopersicum water consumption ABSTRACT The HortSyst model is a new discrete time model for describing the dynamics of photo-thermal time (PTI), total dry matter production (DMP), N uptake (Nup), leaf area index (LAI), and evapotranspiration (ETc) for greenhouse crops. The first three variables are considered as state variables and the latter two are conceptualized as output variables. This model was developed as a tool for decision support systems in Mexican greenhouses for the application of N and water in tomato (Solanum lycopersicum L.) production. The HortSyst has 13 parameters. It was used to calibrate the model and estimate the correct parameter values for the crop season. An experiment was carried out to test model predictions in a greenhouse during the autumn-winter season in Chapingo, Mexico. Tomato ‘CID F1’ was grown in a hydroponic system and plants were distributed with a density of 3.5 plants m-2. The tomato crop was transplanted on 21 August 2015. A weather station was installed inside the greenhouse to measure temperature, relative humidity, and global radiation. The HortSyst model provides an excellent predictive quality for DMP, Nup, LAI, and ETc according to the statistics. Values for bias (BIAS) were DMP (-3.897), Nup (-0.071), LAI (0.026), and ETc (3.647), values for root mean square error (RMSE) were DMP (14.543), Nup (0.500), LAI (0.100), and ETc (39.330), and values for modeling efficiency (EF)were DMP (0.996), Nup (0.991), LAI (0.998), and ETc (0.815). The model proposed and described in this paper can be integrated as a decision support tool for N supply and irrigation management in greenhouse production systems.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.79 n.1 20192019-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392019000100089en10.4067/S0718-58392019000100089
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Decision support system extraction curve potential growth model Solanum lycopersicum water consumption
spellingShingle	Decision support system extraction curve potential growth model Solanum lycopersicum water consumption Martínez-Ruiz,Antonio López-Cruz,Irineo L. Ruiz-García,Agustín Pineda-Pineda,Joel Prado-Hernández,J. Víctor HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes
description	ABSTRACT The HortSyst model is a new discrete time model for describing the dynamics of photo-thermal time (PTI), total dry matter production (DMP), N uptake (Nup), leaf area index (LAI), and evapotranspiration (ETc) for greenhouse crops. The first three variables are considered as state variables and the latter two are conceptualized as output variables. This model was developed as a tool for decision support systems in Mexican greenhouses for the application of N and water in tomato (Solanum lycopersicum L.) production. The HortSyst has 13 parameters. It was used to calibrate the model and estimate the correct parameter values for the crop season. An experiment was carried out to test model predictions in a greenhouse during the autumn-winter season in Chapingo, Mexico. Tomato ‘CID F1’ was grown in a hydroponic system and plants were distributed with a density of 3.5 plants m-2. The tomato crop was transplanted on 21 August 2015. A weather station was installed inside the greenhouse to measure temperature, relative humidity, and global radiation. The HortSyst model provides an excellent predictive quality for DMP, Nup, LAI, and ETc according to the statistics. Values for bias (BIAS) were DMP (-3.897), Nup (-0.071), LAI (0.026), and ETc (3.647), values for root mean square error (RMSE) were DMP (14.543), Nup (0.500), LAI (0.100), and ETc (39.330), and values for modeling efficiency (EF)were DMP (0.996), Nup (0.991), LAI (0.998), and ETc (0.815). The model proposed and described in this paper can be integrated as a decision support tool for N supply and irrigation management in greenhouse production systems.
author	Martínez-Ruiz,Antonio López-Cruz,Irineo L. Ruiz-García,Agustín Pineda-Pineda,Joel Prado-Hernández,J. Víctor
author_facet	Martínez-Ruiz,Antonio López-Cruz,Irineo L. Ruiz-García,Agustín Pineda-Pineda,Joel Prado-Hernández,J. Víctor
author_sort	Martínez-Ruiz,Antonio
title	HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes
title_short	HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes
title_full	HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes
title_fullStr	HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes
title_full_unstemmed	HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes
title_sort	hortsyst: a dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2019
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392019000100089
work_keys_str_mv	AT martinezruizantonio hortsystadynamicmodeltopredictgrowthnitrogenuptakeandtranspirationofgreenhousetomatoes AT lopezcruzirineol hortsystadynamicmodeltopredictgrowthnitrogenuptakeandtranspirationofgreenhousetomatoes AT ruizgarciaagustin hortsystadynamicmodeltopredictgrowthnitrogenuptakeandtranspirationofgreenhousetomatoes AT pinedapinedajoel hortsystadynamicmodeltopredictgrowthnitrogenuptakeandtranspirationofgreenhousetomatoes AT pradohernandezjvictor hortsystadynamicmodeltopredictgrowthnitrogenuptakeandtranspirationofgreenhousetomatoes
_version_	1714205385372467200

HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes

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