Show simple item record

dc.contributor.authorLidón, Antonio
dc.contributor.authorGinestar, Damian
dc.contributor.authorCarlos, Sofia
dc.contributor.authorSánchez-De-Oleo, Carlos
dc.contributor.authorJaramillo, Claudia
dc.contributor.authorRamos, Carlos
dc.date.accessioned2020-05-27T08:50:26Z
dc.date.available2020-05-27T08:50:26Z
dc.date.issued2019
dc.identifier.citationCerezuela, A. L. L., Peiró, D. G., Alberola, S. C., de Oleo, C. M. S., Jaramillo, C., & Mompó, C. R. (2019). Sensitivity analysis and parameterization of two agricultural models in cauliflower crops. Spanish journal of agricultural research, 17(4), e1106.
dc.identifier.issn2171-9292
dc.identifier.urihttp://hdl.handle.net/20.500.11939/6469
dc.description.abstractAim of study: The development of a procedure to calibrate the LEACHM and EU-Rotate_N models for simulating water and nitrogen dynamics in cauliflower crops. Area of study: Calibration was performed using experimental data obtained from measurements in a cauliflower crop sited in Valencia (Spain) region. Material and methods: A procedure based on generalized sensitivity indices for time-dependent outputs was used to determine the most influencing model parameters, in order to reduce the number of parameters to be calibrated and to avoid overparameterization. The most influencing parameters were introduced in an optimization process that uses the experimental measurements of soil water and nitrate content to determine its optimal value and obtain calibrated models. Main results: After this analysis, the most important hydraulic parameters found were the coefficients of Campbell's equation for the LEACHM model and the soil water content at field capacity and drainage coefficient for the EU-Rotate N model. For the N cycle, the most influencing parameters were those related with the nitrification, humus mineralization rate and residue decomposition for both models. Both calibrated models provided good simulation of soil water content with an error between 5-7%. However, larger errors in soil-nitrate content simulation were found, mainly in the period corresponding to the crop residues incorporation. The prediction of the calibrated models in a different plot gave error values of about 7-9% for soil water content, but for soil nitrate content errors computed were 34% and 58%. Research highlights: After calibration, both models can be used to optimize the farmer water management and fertilization practices in horticultural crops, although in the N case further studies should be performed.es
dc.language.isoenes
dc.publisherInstituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA)es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectSoil nitrogenes
dc.subjectGlobal sensitivity analysises
dc.subjectModel calibrationes
dc.titleSensitivity analysis and parameterization of two agricultural models in cauliflower cropses
dc.typearticlees
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias, Carretera CV-315, Km. 10,7 - 46113 Moncada (València)es
dc.entidadIVIACentro para el Desarrollo de la Agricultura Sosteniblees
dc.identifier.doi10.5424/sjar/2019174-15314es
dc.identifier.urlhttps://revistas.inia.es/index.php/sjar/article/view/15314es
dc.journal.issueNumber4es
dc.journal.titleSpanish Journal of Agricultural Researches
dc.journal.volumeNumber17es
dc.page.finale1106es
dc.page.initiale1106es
dc.source.typeelectronicoes
dc.subject.agrisU10 Mathematical and statistical methodses
dc.subject.agrovocSoil water contentes
dc.subject.agrovocBrassica oleraceaes
dc.type.hasVersionpublishedVersiones


Files in this item

This item appears in the following Collection(s)

Show simple item record

Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España