Can edaphic variables improve DTPA-based zinc diagnosis in corn?

Autores
Barbieri, Pablo Andres; Sainz Rozas, Hernan Rene; Wyngaard, Nicolás; Eyherabide, Mercedes; Reussi Calvo, Nahuel Ignacio; Correndo, Adrián A.; Barbagelata, Pedro A.; Espósito Goya, Gabriel P.; Colazo, Juan Cruz; Echeverria, Hernan Eduardo
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Current 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.
Fil: Barbieri, Pablo Andres. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Sainz Rozas, Hernan Rene. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Wyngaard, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Eyherabide, Mercedes. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Correndo, Adrián A.. International Plant Nutrition Institute; Argentina
Fil: Barbagelata, Pedro A.. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Espósito Goya, Gabriel P.. Universidad Nacional de Río Cuarto; Argentina
Fil: Colazo, Juan Cruz. Instituto Nacional de Tecnología Agropecuaria. Centro Regional La Pampa-San Luis. Estación Experimental Agropecuaria San Luis; Argentina
Fil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria; Argentina
Materia
Corn
Zn
Fertilization
Dtpa
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/76943
Acceder
id CONICETDig_01543bdaad288331e74b3a89b0782826
oai_identifier_str oai:ri.conicet.gov.ar:11336/76943
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Can edaphic variables improve DTPA-based zinc diagnosis in corn?Barbieri, Pablo AndresSainz Rozas, Hernan ReneWyngaard, NicolásEyherabide, MercedesReussi Calvo, Nahuel IgnacioCorrendo, Adrián A.Barbagelata, Pedro A.Espósito Goya, Gabriel P.Colazo, Juan CruzEcheverria, Hernan EduardoCornZnFertilizationDtpahttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Current 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.Fil: Barbieri, Pablo Andres. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Sainz Rozas, Hernan Rene. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Wyngaard, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Eyherabide, Mercedes. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Correndo, Adrián A.. International Plant Nutrition Institute; ArgentinaFil: Barbagelata, Pedro A.. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Espósito Goya, Gabriel P.. Universidad Nacional de Río Cuarto; ArgentinaFil: Colazo, Juan Cruz. Instituto Nacional de Tecnología Agropecuaria. Centro Regional La Pampa-San Luis. Estación Experimental Agropecuaria San Luis; ArgentinaFil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria; ArgentinaSoil Science Society of America2017-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/76943Barbieri, Pablo Andres; Sainz Rozas, Hernan Rene; Wyngaard, Nicolás; Eyherabide, Mercedes; Reussi Calvo, Nahuel Ignacio; et al.; Can edaphic variables improve DTPA-based zinc diagnosis in corn?; Soil Science Society of America; Soil Science Society of America Journal; 81; 3; 6-2017; 556-5630361-5995CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/sssaj/abstracts/81/3/556info:eu-repo/semantics/altIdentifier/doi/10.2136/sssaj2016.09.0316info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:28Zoai:ri.conicet.gov.ar:11336/76943instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:36:29.131CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Can edaphic variables improve DTPA-based zinc diagnosis in corn?
title Can edaphic variables improve DTPA-based zinc diagnosis in corn?
spellingShingle Can edaphic variables improve DTPA-based zinc diagnosis in corn?
Barbieri, Pablo Andres
Corn
Zn
Fertilization
Dtpa
title_short Can edaphic variables improve DTPA-based zinc diagnosis in corn?
title_full Can edaphic variables improve DTPA-based zinc diagnosis in corn?
title_fullStr Can edaphic variables improve DTPA-based zinc diagnosis in corn?
title_full_unstemmed Can edaphic variables improve DTPA-based zinc diagnosis in corn?
title_sort Can edaphic variables improve DTPA-based zinc diagnosis in corn?
dc.creator.none.fl_str_mv Barbieri, Pablo Andres
Sainz Rozas, Hernan Rene
Wyngaard, Nicolás
Eyherabide, Mercedes
Reussi Calvo, Nahuel Ignacio
Correndo, Adrián A.
Barbagelata, Pedro A.
Espósito Goya, Gabriel P.
Colazo, Juan Cruz
Echeverria, Hernan Eduardo
author Barbieri, Pablo Andres
author_facet Barbieri, Pablo Andres
Sainz Rozas, Hernan Rene
Wyngaard, Nicolás
Eyherabide, Mercedes
Reussi Calvo, Nahuel Ignacio
Correndo, Adrián A.
Barbagelata, Pedro A.
Espósito Goya, Gabriel P.
Colazo, Juan Cruz
Echeverria, Hernan Eduardo
author_role author
author2 Sainz Rozas, Hernan Rene
Wyngaard, Nicolás
Eyherabide, Mercedes
Reussi Calvo, Nahuel Ignacio
Correndo, Adrián A.
Barbagelata, Pedro A.
Espósito Goya, Gabriel P.
Colazo, Juan Cruz
Echeverria, Hernan Eduardo
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Corn
Zn
Fertilization
Dtpa
topic Corn
Zn
Fertilization
Dtpa
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Current 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.
Fil: Barbieri, Pablo Andres. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Sainz Rozas, Hernan Rene. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Wyngaard, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Eyherabide, Mercedes. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Correndo, Adrián A.. International Plant Nutrition Institute; Argentina
Fil: Barbagelata, Pedro A.. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Espósito Goya, Gabriel P.. Universidad Nacional de Río Cuarto; Argentina
Fil: Colazo, Juan Cruz. Instituto Nacional de Tecnología Agropecuaria. Centro Regional La Pampa-San Luis. Estación Experimental Agropecuaria San Luis; Argentina
Fil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria; Argentina
description Current 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/76943
Barbieri, Pablo Andres; Sainz Rozas, Hernan Rene; Wyngaard, Nicolás; Eyherabide, Mercedes; Reussi Calvo, Nahuel Ignacio; et al.; Can edaphic variables improve DTPA-based zinc diagnosis in corn?; Soil Science Society of America; Soil Science Society of America Journal; 81; 3; 6-2017; 556-563
0361-5995
CONICET Digital
CONICET
url http://hdl.handle.net/11336/76943
identifier_str_mv Barbieri, Pablo Andres; Sainz Rozas, Hernan Rene; Wyngaard, Nicolás; Eyherabide, Mercedes; Reussi Calvo, Nahuel Ignacio; et al.; Can edaphic variables improve DTPA-based zinc diagnosis in corn?; Soil Science Society of America; Soil Science Society of America Journal; 81; 3; 6-2017; 556-563
0361-5995
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/sssaj/abstracts/81/3/556
info:eu-repo/semantics/altIdentifier/doi/10.2136/sssaj2016.09.0316
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Soil Science Society of America
publisher.none.fl_str_mv Soil Science Society of America
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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