Anaerobically incubated nitrogen improved nitrogen diagnosis in corn

Autores
Orcellet, Juan Manuel; Sainz Rozas, Hernan Rene; Wyngaard, Nicolás; Echeverria, Hernan Eduardo; Reussi Calvo, Nahuel Ignacio
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
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.
EEA Balcarce
Fil: Orcellet, Juan Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela; Argentina
Fil: Reussi Calvo, Nahuel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fertilab. Laboratiorio de Suelos; Argentina
Fil: Sainz Rozas, Hernan Rene. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fertilab. Laboratiorio de Suelos; Argentina
Fil: Wyngaard, Nicolás. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Echeverria, Hernan Eduardo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fuente
Agronomy journal 109 (1) : 291-298. (2017)
Materia
Nitrógeno
Maíz
Tratamiento Anaeróbico
Nitrogen
Maize
Anaerobic Treatment
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/1283
Acceder
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oai_identifier_str oai:localhost:20.500.12123/1283
network_acronym_str INTADig
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network_name_str INTA Digital (INTA)
spelling Anaerobically incubated nitrogen improved nitrogen diagnosis in cornOrcellet, Juan ManuelSainz Rozas, Hernan ReneWyngaard, NicolásEcheverria, Hernan EduardoReussi Calvo, Nahuel IgnacioNitrógenoMaízTratamiento AnaeróbicoNitrogenMaizeAnaerobic TreatmentCurrent 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.EEA BalcarceFil: Orcellet, Juan Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela; ArgentinaFil: Reussi Calvo, Nahuel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fertilab. Laboratiorio de Suelos; ArgentinaFil: Sainz Rozas, Hernan Rene. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fertilab. Laboratiorio de Suelos; ArgentinaFil: Wyngaard, Nicolás. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Echeverria, Hernan Eduardo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina2017-09-21T14:10:06Z2017-09-21T14:10:06Z2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/1283https://dl.sciencesocieties.org/publications/aj/abstracts/109/1/2910002-1962 (Print)1435-0645 (Online)doi:10.2134/agronj2016.02.0115Agronomy journal 109 (1) : 291-298. (2017)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:11Zoai:localhost:20.500.12123/1283instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:11.545INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
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 Manuel
Nitrógeno
Maíz
Tratamiento Anaeróbico
Nitrogen
Maize
Anaerobic Treatment
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 Manuel
Sainz Rozas, Hernan Rene
Wyngaard, Nicolás
Echeverria, Hernan Eduardo
Reussi Calvo, Nahuel Ignacio
author Orcellet, Juan Manuel
author_facet Orcellet, Juan Manuel
Sainz Rozas, Hernan Rene
Wyngaard, Nicolás
Echeverria, Hernan Eduardo
Reussi Calvo, Nahuel Ignacio
author_role author
author2 Sainz Rozas, Hernan Rene
Wyngaard, Nicolás
Echeverria, Hernan Eduardo
Reussi Calvo, Nahuel Ignacio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Nitrógeno
Maíz
Tratamiento Anaeróbico
Nitrogen
Maize
Anaerobic Treatment
topic Nitrógeno
Maíz
Tratamiento Anaeróbico
Nitrogen
Maize
Anaerobic Treatment
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.
EEA Balcarce
Fil: Orcellet, Juan Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela; Argentina
Fil: Reussi Calvo, Nahuel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fertilab. Laboratiorio de Suelos; Argentina
Fil: Sainz Rozas, Hernan Rene. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fertilab. Laboratiorio de Suelos; Argentina
Fil: Wyngaard, Nicolás. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Echeverria, Hernan Eduardo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; 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 2017-09-21T14:10:06Z
2017-09-21T14:10:06Z
2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/1283
https://dl.sciencesocieties.org/publications/aj/abstracts/109/1/291
0002-1962 (Print)
1435-0645 (Online)
doi:10.2134/agronj2016.02.0115
url http://hdl.handle.net/20.500.12123/1283
https://dl.sciencesocieties.org/publications/aj/abstracts/109/1/291
identifier_str_mv 0002-1962 (Print)
1435-0645 (Online)
doi:10.2134/agronj2016.02.0115
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Agronomy journal 109 (1) : 291-298. (2017)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.559606

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