Anaerobically incubated nitrogen improved nitrogen diagnosis in corn

Autores
Orcellet, Juan; Reussi Calvo, Nahuel Ignacio; Sainz Rozas, Hernan Rene; Wyngaard, Nicolás; Echeverria, Hernan Eduardo
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Current N diagnostic methods for corn (Zea mays L.) are often based on the nitrate nitrogen (NO3––N) concentration before planting (pre-plant nitrate test, PPNT) and nitrate nitrogen (NO3––N) concentration at V6 stage (PSNT). These tests provide scant information on soil N mineralization during the growing season, which can supply a considerable proportion of corn N requirements. The objective of our study was to evaluate if in-season N recommendations could be improved by inclusion of a N mineralization potential estimator. We conducted field experiments (n = 35) in three different areas and in two planting dates. At each site we evaluated PPNT, PSNT, and NH4–N released during anaerobic incubation (Nan), which were then related to corn yield in unfertilized plots (0N) and corn response to nitrogen fertilization (Nresp%) using multiple regression analysis. The sole incorporation of Nan to PPNT and PSNT models improved their capacity to predict corn yield in 0N plots and Nresp% only in areas with similar edaphic-climatic characteristics. Independently of the geographical region, when PPNT and PSNT were combined with Nan, texture, and temperature, their capacity to predict yield in 0N plots was increased (PPNT: from R2 0.02–0.47; PSNT: from R2 0.09–0.53), as it was their capacity to estimate Nresp% (PPNT: from R2 0.06–0.23; PSNT: from R2 0.19–0.42). The inclusion of Nan can improve traditional N diagnostic models when it is combined with edaphic/climatic properties that account for the mineralization rate of this N pool.
Fil: Orcellet, Juan. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Reussi Calvo, Nahuel Ignacio. Laboratorio de Analisis de Suelos Fertilab; 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
Fil: Wyngaard, Nicolás. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria; Argentina
Materia
Nitrogen
Corn
Incubation
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:11336/79919

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network_name_str CONICET Digital (CONICET)
spelling Anaerobically incubated nitrogen improved nitrogen diagnosis in cornOrcellet, JuanReussi Calvo, Nahuel IgnacioSainz Rozas, Hernan ReneWyngaard, NicolásEcheverria, Hernan EduardoNitrogenCornIncubationhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Current N diagnostic methods for corn (Zea mays L.) are often based on the nitrate nitrogen (NO3––N) concentration before planting (pre-plant nitrate test, PPNT) and nitrate nitrogen (NO3––N) concentration at V6 stage (PSNT). These tests provide scant information on soil N mineralization during the growing season, which can supply a considerable proportion of corn N requirements. The objective of our study was to evaluate if in-season N recommendations could be improved by inclusion of a N mineralization potential estimator. We conducted field experiments (n = 35) in three different areas and in two planting dates. At each site we evaluated PPNT, PSNT, and NH4–N released during anaerobic incubation (Nan), which were then related to corn yield in unfertilized plots (0N) and corn response to nitrogen fertilization (Nresp%) using multiple regression analysis. The sole incorporation of Nan to PPNT and PSNT models improved their capacity to predict corn yield in 0N plots and Nresp% only in areas with similar edaphic-climatic characteristics. Independently of the geographical region, when PPNT and PSNT were combined with Nan, texture, and temperature, their capacity to predict yield in 0N plots was increased (PPNT: from R2 0.02–0.47; PSNT: from R2 0.09–0.53), as it was their capacity to estimate Nresp% (PPNT: from R2 0.06–0.23; PSNT: from R2 0.19–0.42). The inclusion of Nan can improve traditional N diagnostic models when it is combined with edaphic/climatic properties that account for the mineralization rate of this N pool.Fil: Orcellet, Juan. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Reussi Calvo, Nahuel Ignacio. Laboratorio de Analisis de Suelos Fertilab; 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; ArgentinaFil: Wyngaard, Nicolás. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria; ArgentinaAmerican Society of Agronomy2017-01info: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/11336/79919Orcellet, Juan; Reussi Calvo, Nahuel Ignacio; Sainz Rozas, Hernan Rene; Wyngaard, Nicolás; Echeverria, Hernan Eduardo; Anaerobically incubated nitrogen improved nitrogen diagnosis in corn; American Society of Agronomy; Agronomy Journal; 109; I; 1-2017; 291-2980002-1962CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.2134/agronj2016.02.0115info:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/aj/abstracts/109/1/291info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:02:09Zoai:ri.conicet.gov.ar:11336/79919instacron: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:34982025-10-22 11:02:09.68CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Anaerobically incubated nitrogen improved nitrogen diagnosis in corn
title Anaerobically incubated nitrogen improved nitrogen diagnosis in corn
spellingShingle Anaerobically incubated nitrogen improved nitrogen diagnosis in corn
Orcellet, Juan
Nitrogen
Corn
Incubation
title_short Anaerobically incubated nitrogen improved nitrogen diagnosis in corn
title_full Anaerobically incubated nitrogen improved nitrogen diagnosis in corn
title_fullStr Anaerobically incubated nitrogen improved nitrogen diagnosis in corn
title_full_unstemmed Anaerobically incubated nitrogen improved nitrogen diagnosis in corn
title_sort Anaerobically incubated nitrogen improved nitrogen diagnosis in corn
dc.creator.none.fl_str_mv Orcellet, Juan
Reussi Calvo, Nahuel Ignacio
Sainz Rozas, Hernan Rene
Wyngaard, Nicolás
Echeverria, Hernan Eduardo
author Orcellet, Juan
author_facet Orcellet, Juan
Reussi Calvo, Nahuel Ignacio
Sainz Rozas, Hernan Rene
Wyngaard, Nicolás
Echeverria, Hernan Eduardo
author_role author
author2 Reussi Calvo, Nahuel Ignacio
Sainz Rozas, Hernan Rene
Wyngaard, Nicolás
Echeverria, Hernan Eduardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Nitrogen
Corn
Incubation
topic Nitrogen
Corn
Incubation
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 N diagnostic methods for corn (Zea mays L.) are often based on the nitrate nitrogen (NO3––N) concentration before planting (pre-plant nitrate test, PPNT) and nitrate nitrogen (NO3––N) concentration at V6 stage (PSNT). These tests provide scant information on soil N mineralization during the growing season, which can supply a considerable proportion of corn N requirements. The objective of our study was to evaluate if in-season N recommendations could be improved by inclusion of a N mineralization potential estimator. We conducted field experiments (n = 35) in three different areas and in two planting dates. At each site we evaluated PPNT, PSNT, and NH4–N released during anaerobic incubation (Nan), which were then related to corn yield in unfertilized plots (0N) and corn response to nitrogen fertilization (Nresp%) using multiple regression analysis. The sole incorporation of Nan to PPNT and PSNT models improved their capacity to predict corn yield in 0N plots and Nresp% only in areas with similar edaphic-climatic characteristics. Independently of the geographical region, when PPNT and PSNT were combined with Nan, texture, and temperature, their capacity to predict yield in 0N plots was increased (PPNT: from R2 0.02–0.47; PSNT: from R2 0.09–0.53), as it was their capacity to estimate Nresp% (PPNT: from R2 0.06–0.23; PSNT: from R2 0.19–0.42). The inclusion of Nan can improve traditional N diagnostic models when it is combined with edaphic/climatic properties that account for the mineralization rate of this N pool.
Fil: Orcellet, Juan. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Reussi Calvo, Nahuel Ignacio. Laboratorio de Analisis de Suelos Fertilab; 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
Fil: Wyngaard, Nicolás. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria; Argentina
description Current N diagnostic methods for corn (Zea mays L.) are often based on the nitrate nitrogen (NO3––N) concentration before planting (pre-plant nitrate test, PPNT) and nitrate nitrogen (NO3––N) concentration at V6 stage (PSNT). These tests provide scant information on soil N mineralization during the growing season, which can supply a considerable proportion of corn N requirements. The objective of our study was to evaluate if in-season N recommendations could be improved by inclusion of a N mineralization potential estimator. We conducted field experiments (n = 35) in three different areas and in two planting dates. At each site we evaluated PPNT, PSNT, and NH4–N released during anaerobic incubation (Nan), which were then related to corn yield in unfertilized plots (0N) and corn response to nitrogen fertilization (Nresp%) using multiple regression analysis. The sole incorporation of Nan to PPNT and PSNT models improved their capacity to predict corn yield in 0N plots and Nresp% only in areas with similar edaphic-climatic characteristics. Independently of the geographical region, when PPNT and PSNT were combined with Nan, texture, and temperature, their capacity to predict yield in 0N plots was increased (PPNT: from R2 0.02–0.47; PSNT: from R2 0.09–0.53), as it was their capacity to estimate Nresp% (PPNT: from R2 0.06–0.23; PSNT: from R2 0.19–0.42). The inclusion of Nan can improve traditional N diagnostic models when it is combined with edaphic/climatic properties that account for the mineralization rate of this N pool.
publishDate 2017
dc.date.none.fl_str_mv 2017-01
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/11336/79919
Orcellet, Juan; Reussi Calvo, Nahuel Ignacio; Sainz Rozas, Hernan Rene; Wyngaard, Nicolás; Echeverria, Hernan Eduardo; Anaerobically incubated nitrogen improved nitrogen diagnosis in corn; American Society of Agronomy; Agronomy Journal; 109; I; 1-2017; 291-298
0002-1962
CONICET Digital
CONICET
url http://hdl.handle.net/11336/79919
identifier_str_mv Orcellet, Juan; Reussi Calvo, Nahuel Ignacio; Sainz Rozas, Hernan Rene; Wyngaard, Nicolás; Echeverria, Hernan Eduardo; Anaerobically incubated nitrogen improved nitrogen diagnosis in corn; American Society of Agronomy; Agronomy Journal; 109; I; 1-2017; 291-298
0002-1962
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.2134/agronj2016.02.0115
info:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/aj/abstracts/109/1/291
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 American Society of Agronomy
publisher.none.fl_str_mv American Society of Agronomy
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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