Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1187351
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dc.contributor.authorMAGALHÃES, J. W. de O.
dc.contributor.authorFERREIRA, E. J.
dc.contributor.authorROCHA, L. A. L. da
dc.contributor.authorMARCONCINI, J. M.
dc.contributor.authorVAZ, C. M. P.
dc.contributor.authorBASSOI, L. H.
dc.date.accessioned2026-06-03T18:59:21Z-
dc.date.available2026-06-03T18:59:21Z-
dc.date.created2026-06-03
dc.date.issued2026
dc.identifier.citationACS Omega, v. 10, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1187351-
dc.descriptionClimatechangehas intensifieddroughts inBrazil, threateningagriculture throughalteredrainfall andtemperature patterns.Apromisingapproachtomitigatingthesoilwaterdeficitistheadditionofbiodegradablehydrophilicpolymers(hydrogels). However,waterdynamicsinsoilhydrogelsystemsremaincomplexanddependonsoiltype,bulkdensity,andhydrogeldosage.The hydrophilicpropertiesofthematrixmaypersistovertime,highlightingtheimportanceofhydrogelresidualeffects.Theinfluenceof bulkdensityonpolymerdosagedynamicsremainsunderexplored, andnorapidanalyticalmethodcurrentlyexists toestimatethe doseequivalenceof activehydrogels foragriculturalpracticeswithaccuracyandwithoutexcessivetimeconsumption.Thisstudy addresses twomaingoals: (1) toevaluate theeffectivenessof hydrogel dosages insandyclay loamsoil at varyingdensities for enhancedwater retentionand(2)todevelopamachine learning-basedanalyticalmethodfor rapidestimationof activehydrogel doses fromshortsoilwatercontent timeseries.Resultsshowedasignificant increaseinsoilwaterretentionat the3gL−1dosage. Theproposedmethod,usingalocallyweightedregressionmodel,achievedahighcorrelation(0.875)andlowerror(0.749gL−1)in cross-validationwithoutrequiringdensityinformation,offeringapractical tool foragriculturalapplications.Thesefindingssupport theefficientandsustainableuseofhydrogels,providingapractical frameworkthat facilitates theirmanagementandenablesrapid field-scale interventions toimprovewateruse inagriculture.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectOxisol in U S Soil Taxonomy
dc.subjectHydrogels
dc.titleModeling Soil Water Dynamics and Hydrogel Doses Optimization Loam Soil under Varying Bulk Densities.
dc.typeArtigo de periódico
dc.format.extent258306−58316
riaa.ainfo.id1187351
riaa.ainfo.lastupdate2026-06-03
dc.identifier.doihttps://doi.org/10.1021/acsomega.5c05318
dc.contributor.institutionSÃO PAULO STATE UNIVERSITY, 18610-307 BOTUCATU, SP, BRAZIL
dc.contributor.institutionEDNALDO JOSE FERREIRA, CNPDIAeng
dc.contributor.institutionSÃO PAULO STATE UNIVERSITY, 18610-307 BOTUCATU, SP, BRAZILeng
dc.contributor.institutionJOSE MANOEL MARCONCINI, CNPDIAeng
dc.contributor.institutionCARLOS MANOEL PEDRO VAZ, CNPDIAeng
dc.contributor.institutionLUIS HENRIQUE BASSOI, CNPDIA.eng
Appears in Collections:Artigo em periódico indexado (CNPDIA)

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