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dc.provenanceINTA-
dc.contributorBarbieri, Pablo-
dc.contributorSainz Rozas, Hernan Rene-
dc.contributorWyngaard, Nicolás-
dc.contributorEyherabide, Mercedes-
dc.contributorReussi Calvo, Nahuel Ignacio-
dc.contributorSalvagiotti, Fernando-
dc.contributorCorrendo, Adrián E.-
dc.contributorBarbagelata, Pedro Anibal-
dc.contributorEspósito Goya, Gabriel P.-
dc.contributorColazo, Juan Cruz-
dc.contributorEcheverria, Hernan Eduardo-
dc.creatorBarbieri, Pablo-
dc.creatorSainz Rozas, Hernan Rene-
dc.creatorWyngaard, Nicolás-
dc.creatorEyherabide, Mercedes-
dc.creatorReussi Calvo, Nahuel Ignacio-
dc.creatorSalvagiotti, Fernando-
dc.creatorCorrendo, Adrián E.-
dc.creatorBarbagelata, Pedro Anibal-
dc.creatorEspósito Goya, Gabriel P.-
dc.creatorColazo, Juan Cruz-
dc.creatorEcheverria, Hernan Eduardo-
dc.date2017-07-10T13:01:34Z-
dc.date2017-07-10T13:01:34Z-
dc.date2017-06-01-
dc.date.accessioned2019-04-29T16:25:37Z-
dc.date.available2019-04-29T16:25:37Z-
dc.date.issued2017-07-10T13:01:34Z-
dc.date.issued2017-07-10T13:01:34Z-
dc.date.issued2017-06-01-
dc.identifier1435-0661-
dc.identifierdoi:10.2136/sssaj2016.09.0316-
dc.identifierhttp://hdl.handle.net/20.500.12123/618-
dc.identifierhttps://dl.sciencesocieties.org/publications/sssaj/abstracts/81/3/556?access=0&view=pdf-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/313012-
dc.descriptionCurrent zinc (Zn) diagnostic methods for corn (Zea mays L.) are often based on soil DTPA (diethylenetriamine-pentaacetic acid) extractable Zn (DTPA-Zn). However, calibration of the DTPA-Zn test may be influenced by other soil properties such as pH, organic matter (SOM) and available Bray-P (PBray-1). Our objective was to assess the contribution of soil properties to a DTPA-Zn model used to predict corn response to Zn fertilization. We conducted 64 field trials with two Zn-fertilization treatments: with and without Zn fertilization. In all sites, we measured SOM, PBray-1, pH, and DTPA-Zn at 0- to 20-cm depth before sowing. Yield difference between Zn-fertilized and unfertilized treatments (Ydifference) was significant in 33% of the experimental site-years. In responsive site-years, the average Ydifference was 0.98 Mg ha-1 (11.4%). Soil organic matter was the only property that was a significant addition to the DTPA-Zn model for predicting the corn relative yield (Model R2 including SOM = 0.27). However, the improvement was nominal (Partial R2 of SOM = 0.06). Use of DTPA-Zn alone was suitable to discriminate Zn responsiveness among site-years based on the Ydifference by correctly diagnosing 81% of the outcomes. We determined three soil DPTA-Zn ranges with different probability of resulting in a Ydifference greater than zero when fertilized with Zn: high (<0.9 mg kg-1), medium (0.9–1.3 mg kg-1), and low (>1.3 mg kg-1). These soil-test-based Zn recommendations improve the identification of Zn-deficient soils allowing prevention of yield loss from Zn deficiency and more rational use of Zn fertilizers.-
dc.descriptionEEA Balcarce-
dc.formatapplication/pdf-
dc.languageeng-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.sourceSoil Science Society of America Journal · June 2017-
dc.sourcereponame:INTA Digital (INTA)-
dc.sourceinstname:Instituto Nacional de Tecnología Agropecuaria-
dc.sourceinstacron:INTA-
dc.source.uri1435-0661-
dc.source.uridoi:10.2136/sssaj2016.09.0316-
dc.source.urihttp://hdl.handle.net/20.500.12123/618-
dc.source.urihttps://dl.sciencesocieties.org/publications/sssaj/abstracts/81/3/556?access=0&view=pdf-
dc.source.urihttp://hdl.handle.net/20.500.12123/618-
dc.source.urihttps://dl.sciencesocieties.org/publications/sssaj/abstracts/81/3/556?access=0&view=pdf-
dc.subjectMaíz-
dc.subjectMaize-
dc.subjectZinc-
dc.subjectSoil-
dc.subjectCinc-
dc.subjectSuelo-
dc.subjectVariables Edáficas-
dc.titleCan Edaphic Variables Improve DTPA-Based Zinc Diagnosis in Corn?-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/submittedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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