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dc.contributor.authorCantero-Martínez, Carlos
dc.contributor.authorPlaza Bonilla, Daniel
dc.contributor.authorAngás Pueyo, Pedro
dc.contributor.authorÁlvaro-Fuentes, Jorge
dc.date.accessioned2018-01-23T08:01:32Z
dc.date.available2018-07-02T22:21:14Z
dc.date.issued2016
dc.identifier.issn1161-0301
dc.identifier.urihttp://hdl.handle.net/10459.1/62534
dc.description.abstractIn this work, appropriate management practices for crop production under the variable climate conditions of the Mediterranean region, in particular rainfall, were tested with the use of a modelling system applied to long-term (i.e. 18 years) field data. The calibration of the CropSyst model was performed using data collected from 1996 to 1999 at three different Mediterranean locations (i.e., HYP-Guissona, MYP-Agramunt and LYP-Candasnos, i.e. high, medium and low yield potential, respectively) within a degree of yield potential. The model simulated reasonably well barley growth and yield to different tillage and N fertilization strategies. Simulations of barley performance over 50 years with generated weather data showed that yields were often greater and never smaller under no-tillage compared to conventional tillage with a mean increase of 36%, 63% and 18% for HYP-Guissona, MYP-Agramunt and LYP-Candasnos. In MYP-Agramunt, the long-term data showed a 40% increase in grain yields when using no-tillage compared to conventional tillage, as an average of 18 years. The model also predicted that greater N applications in no-tillage were appropriate to take advantage of additional water supply. Taking into account the limited amount of soil water available, overall N fertilizer applications could be reduced to about half of the traditional rate applied by the farmers without yield loss. The 50-yr simulation, confirmed by the long-term experimental data, identified no-tillage as the most appropriate tillage practice for the rainfed Mediterranean areas. Also, N fertilization must be reduced significantly when tillage is used or when increasing aridity. Our work demonstrates the usefulness of the combination of long-term field experimentation and modelling as a tool to identify the best agricultural management practices. It also highlights the importance of posterior analysis with long-term observed field data to determine the performance of simulation results.
dc.description.sponsorshipThis work was funded by the Comisión Interministerial de Ciencia y Tecnología (CICYT) of the Spanish National Plan of Research, projects AGR94-198, AGF98-0261-C02, AGL2001-2238-CO2-02, AGL2004-07763-CO2-01-AG, AGL2007-66320-C02-C02-01/AGR, AGL2010-22050-C03-01 and the Instituto Nacional de Investigaciones Agrarias (INIA), project PD96-029. We also thank the Ministry of Education and Culture, which funded the doctorate studies of P. Angás. Daniel Plaza-Bonilla received a “Juan de la Cierva” grant from the Ministerio de Economía y Competitividad of Spain.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relationMIECU/PN1996-1999/AGF98-0261-C02
dc.relationMYCIT/PN2000-2003/AGL2001-2238-CO2-02
dc.relationMIECI/PN2004-2007/AGL2004-7763-C02-01-AG
dc.relationMIECI/PN2004-2007/AGL2007-66320-C02-01/AGR
dc.relationMICINN/PN2008-2011/AGL-2010-22050-C03-01
dc.relationMIECI/PN1992-1995/AGR94-198
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.eja.2016.06.010
dc.relation.ispartofEuropean Journal of Agronomy, 2016, vol. 79, p. 119-130
dc.rightscc-by-nc-nd, (c) Elsevier, 2016
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectConservation tillage
dc.subjectNitrogen fertilization
dc.subjectCrop simulation
dc.subjectCropSyst model
dc.titleBest management practices of tillage and nitrogen fertilization in Mediterranean rainfed conditions: Combining field and modelling approaches
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2018-01-23T08:01:34Z
dc.identifier.idgrec024659
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1016/j.eja.2016.06.010


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cc-by-nc-nd, (c) Elsevier, 2016
Except where otherwise noted, this item's license is described as cc-by-nc-nd, (c) Elsevier, 2016