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Crop response to combined availability of soil water and its salinity level: theory, experiments and validation on golf courses

dc.contributor.authorBen-Asher, Jiftah
dc.contributor.authorBeltrão, José
dc.contributor.authorBekmirzaev, Gulom
dc.contributor.authorPanagopoulos, Thomas
dc.date.accessioned2021-11-19T15:07:10Z
dc.date.available2021-11-19T15:07:10Z
dc.date.issued2021-10
dc.description.abstractThe phenomenological expression showing crop yield to be directly dependent on water deficiency, under saline conditions, has encouraged a continued focus on salinity as a viable approach to increase crop yields. This work reassesses crop response to availability of saline soil water ASW in two stages (A) Develop a simple approach suggesting that permanent wilting point (WP) increases under high saline soil water tension and relative yield of Lettuce (Lactuca sativa L., var longifolia Lam., cv. Nevada) and maize (Zea mays L., cv. Jubilee sweet) decrease. (B) Using a deterministic numerical soil water model to validate the theory on Bermuda grass of golf courses. The experimental plots were established in the North Negev, Israel (Sweet corn) and the Algarve, Portugal (Lettuce and Bermuda grass covering the golf courses). Sprinkler irrigation and line source techniques were used for water application, creating a saline gradient under a precise irrigation water distribution. Two salinity empirical models were tested (Mass and Hoffman MH and van Genuchten–Gupta vGG). Their empirical models were modified and instead of soil electrical conductivity of irrigation water (ECe) we used wilting point (WP) and RASW to follow the changes in relative yield. The validation was conducted with theoretical soil plant atmosphere water (SPAW) to predict the results on golf courses. It is concluded that an alternative S-shaped response model provides better fit to our experimental data sets. Modified MH model (Yr = Y/Ymax = a ∗ (ASW–threshold’s constant) revealed that a single dimensionless curve could be used to express yield—salinity interference when represented by varying ASW. The vGG model: vGG can represent salt tolerance of most crops, by using varying wilting point of average root zone salinity, at which the yield has declined by 50%. The abscissa of both models was based on WP rather than the standard soil electrical conductivity (ECw). The correlation between the experimental data and WP or relative available soil water (RASW) was acceptable and, therefore, their usefulness for prediction of relative yield is acceptable as well. The objectives of this study were: 1. To develop a simple model describing the effect of salinity through soil water availability on crop production; 2. To replace the standard varying soil electrical conductivity ECe used by MH and vGG models by two soil parameters (at wilting point- θwp and at field capacity θfc) in order to describe the relationship between them and relative yield. 3. Validate the new model with respect to independent salinity on Golf courses and a mathematical deterministic model.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/agronomy11102012pt_PT
dc.identifier.eissn2073-4395
dc.identifier.urihttp://hdl.handle.net/10400.1/17334
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRelative yieldpt_PT
dc.subjectSPAW numerical modelpt_PT
dc.subjectECe and saline soil water ECwpt_PT
dc.subjectSprinkler irrigationpt_PT
dc.titleCrop response to combined availability of soil water and its salinity level: theory, experiments and validation on golf coursespt_PT
dc.title.alternativeResposta à cultura à disponibilidade combinada de água do solo e seu nível de salinidade: teoria, experimentos e validação em campos de golfept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue10pt_PT
oaire.citation.startPage2012pt_PT
oaire.citation.titleAgronomypt_PT
oaire.citation.volume11pt_PT
person.familyNameBeltrão
person.familyNamePanagopoulos
person.givenNameJosé
person.givenNameThomas
person.identifierR-000-K9N
person.identifier.ciencia-id411D-5652-57A8
person.identifier.orcid0000-0003-2786-5656
person.identifier.orcid0000-0002-8073-2097
person.identifier.ridA-3048-2012
person.identifier.scopus-author-id24072790700
person.identifier.scopus-author-id9736690000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationd9cbe32d-47bf-4cca-871b-432438f45796
relation.isAuthorOfPublication3dfd5be1-8e22-4dda-bd34-f3b1e5f249e2
relation.isAuthorOfPublication.latestForDiscovery3dfd5be1-8e22-4dda-bd34-f3b1e5f249e2

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