Canopy indices to quantify the economic optimum nitrogen rate in processing potato

Autores
Giletto, Claudia Marcela; Echeverria, Hernan Eduardo
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In-season N applications to processing potato crops may increase profits and improve N fertilizer use efficiency. The objective of our study was to evaluate indices to predict the differential economic optimum N rate (dEONR) using a SPAD 502 chlorophyll meter, a Crop Circle ACS-210 (CC), and a Green Seeker 506 (GS). Additionally, algorithms were developed to determine N fertilizer variable rates. The relative chlorophyll meter reading (RCM), the relative chlorophyll index (RCI), and the relative normalized differential vegetative index (RNDVI) were calculated using the mean sensor value divided by the value determined in plots with the highest N rate within each site-year. The relationship between relative indices and dEONR was evaluated by fitting quadratic and quadratic-plateau regression models. The canopy chlorophyll indices (RCM and RCI) were significantly associated with dEONR during the growing season (R2 = 0.48, 0.22 at 40 days after planting (DAP), R2 = 0.28, 0.73 at 60 DAP, R2 = 0.62, 0.82 at 80 DAP, R2 = 0.58, 0.83 at 100 DAP for RCM and RCI, respectively). The canopy biomass index (RNDVI) was significantly associated with dEONR only at tuber bulking (R2 = 0.51, 0.85 at 80 DAP and R2 = 0.48, 0.51 at 100 DAP, for GS and CC, respectively). The canopy chlorophyll indices performed better than the canopy biomass indices in measuring N stress. The optical sensor CC was better than the GS in predicting N stress because it measures the RNDVI and the RCI in a single reading.
EEA Balcarce
Fil: Giletto, Claudia Marcela. Unidad Integrada-Universidad Nacional de Mar del Plata. Facultad Ciencias Agrarias-Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Echeverria, Hernan Eduardo. Unidad Integrada-Universidad Nacional de Mar del Plata. Facultad Ciencias Agrarias-Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fuente
American Journal of Potato Research 93 (3) : 253–263 (June 2016)
Materia
Papa
Nitrógeno
Clorofilas
Cubierta de Copas
Nutrición de las Plantas
Potatoes
Nitrogen
Chlorophylls
Canopy
Plant Nutrition
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/5354
Acceder
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oai_identifier_str oai:localhost:20.500.12123/5354
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Canopy indices to quantify the economic optimum nitrogen rate in processing potatoGiletto, Claudia MarcelaEcheverria, Hernan EduardoPapaNitrógenoClorofilasCubierta de CopasNutrición de las PlantasPotatoesNitrogenChlorophyllsCanopyPlant NutritionIn-season N applications to processing potato crops may increase profits and improve N fertilizer use efficiency. The objective of our study was to evaluate indices to predict the differential economic optimum N rate (dEONR) using a SPAD 502 chlorophyll meter, a Crop Circle ACS-210 (CC), and a Green Seeker 506 (GS). Additionally, algorithms were developed to determine N fertilizer variable rates. The relative chlorophyll meter reading (RCM), the relative chlorophyll index (RCI), and the relative normalized differential vegetative index (RNDVI) were calculated using the mean sensor value divided by the value determined in plots with the highest N rate within each site-year. The relationship between relative indices and dEONR was evaluated by fitting quadratic and quadratic-plateau regression models. The canopy chlorophyll indices (RCM and RCI) were significantly associated with dEONR during the growing season (R2 = 0.48, 0.22 at 40 days after planting (DAP), R2 = 0.28, 0.73 at 60 DAP, R2 = 0.62, 0.82 at 80 DAP, R2 = 0.58, 0.83 at 100 DAP for RCM and RCI, respectively). The canopy biomass index (RNDVI) was significantly associated with dEONR only at tuber bulking (R2 = 0.51, 0.85 at 80 DAP and R2 = 0.48, 0.51 at 100 DAP, for GS and CC, respectively). The canopy chlorophyll indices performed better than the canopy biomass indices in measuring N stress. The optical sensor CC was better than the GS in predicting N stress because it measures the RNDVI and the RCI in a single reading.EEA BalcarceFil: Giletto, Claudia Marcela. Unidad Integrada-Universidad Nacional de Mar del Plata. Facultad Ciencias Agrarias-Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Echeverria, Hernan Eduardo. Unidad Integrada-Universidad Nacional de Mar del Plata. Facultad Ciencias Agrarias-Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaSpringer2019-06-21T14:38:47Z2019-06-21T14:38:47Z2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/5354https://link.springer.com/article/10.1007/s12230-016-9501-01099-209X1874-9380https://doi.org/10.1007/s12230-016-9501-0American Journal of Potato Research 93 (3) : 253–263 (June 2016)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-04T09:48:00Zoai:localhost:20.500.12123/5354instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:48:03.162INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Canopy indices to quantify the economic optimum nitrogen rate in processing potato
title Canopy indices to quantify the economic optimum nitrogen rate in processing potato
spellingShingle Canopy indices to quantify the economic optimum nitrogen rate in processing potato
Giletto, Claudia Marcela
Papa
Nitrógeno
Clorofilas
Cubierta de Copas
Nutrición de las Plantas
Potatoes
Nitrogen
Chlorophylls
Canopy
Plant Nutrition
title_short Canopy indices to quantify the economic optimum nitrogen rate in processing potato
title_full Canopy indices to quantify the economic optimum nitrogen rate in processing potato
title_fullStr Canopy indices to quantify the economic optimum nitrogen rate in processing potato
title_full_unstemmed Canopy indices to quantify the economic optimum nitrogen rate in processing potato
title_sort Canopy indices to quantify the economic optimum nitrogen rate in processing potato
dc.creator.none.fl_str_mv Giletto, Claudia Marcela
Echeverria, Hernan Eduardo
author Giletto, Claudia Marcela
author_facet Giletto, Claudia Marcela
Echeverria, Hernan Eduardo
author_role author
author2 Echeverria, Hernan Eduardo
author2_role author
dc.subject.none.fl_str_mv Papa
Nitrógeno
Clorofilas
Cubierta de Copas
Nutrición de las Plantas
Potatoes
Nitrogen
Chlorophylls
Canopy
Plant Nutrition
topic Papa
Nitrógeno
Clorofilas
Cubierta de Copas
Nutrición de las Plantas
Potatoes
Nitrogen
Chlorophylls
Canopy
Plant Nutrition
dc.description.none.fl_txt_mv In-season N applications to processing potato crops may increase profits and improve N fertilizer use efficiency. The objective of our study was to evaluate indices to predict the differential economic optimum N rate (dEONR) using a SPAD 502 chlorophyll meter, a Crop Circle ACS-210 (CC), and a Green Seeker 506 (GS). Additionally, algorithms were developed to determine N fertilizer variable rates. The relative chlorophyll meter reading (RCM), the relative chlorophyll index (RCI), and the relative normalized differential vegetative index (RNDVI) were calculated using the mean sensor value divided by the value determined in plots with the highest N rate within each site-year. The relationship between relative indices and dEONR was evaluated by fitting quadratic and quadratic-plateau regression models. The canopy chlorophyll indices (RCM and RCI) were significantly associated with dEONR during the growing season (R2 = 0.48, 0.22 at 40 days after planting (DAP), R2 = 0.28, 0.73 at 60 DAP, R2 = 0.62, 0.82 at 80 DAP, R2 = 0.58, 0.83 at 100 DAP for RCM and RCI, respectively). The canopy biomass index (RNDVI) was significantly associated with dEONR only at tuber bulking (R2 = 0.51, 0.85 at 80 DAP and R2 = 0.48, 0.51 at 100 DAP, for GS and CC, respectively). The canopy chlorophyll indices performed better than the canopy biomass indices in measuring N stress. The optical sensor CC was better than the GS in predicting N stress because it measures the RNDVI and the RCI in a single reading.
EEA Balcarce
Fil: Giletto, Claudia Marcela. Unidad Integrada-Universidad Nacional de Mar del Plata. Facultad Ciencias Agrarias-Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Echeverria, Hernan Eduardo. Unidad Integrada-Universidad Nacional de Mar del Plata. Facultad Ciencias Agrarias-Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
description In-season N applications to processing potato crops may increase profits and improve N fertilizer use efficiency. The objective of our study was to evaluate indices to predict the differential economic optimum N rate (dEONR) using a SPAD 502 chlorophyll meter, a Crop Circle ACS-210 (CC), and a Green Seeker 506 (GS). Additionally, algorithms were developed to determine N fertilizer variable rates. The relative chlorophyll meter reading (RCM), the relative chlorophyll index (RCI), and the relative normalized differential vegetative index (RNDVI) were calculated using the mean sensor value divided by the value determined in plots with the highest N rate within each site-year. The relationship between relative indices and dEONR was evaluated by fitting quadratic and quadratic-plateau regression models. The canopy chlorophyll indices (RCM and RCI) were significantly associated with dEONR during the growing season (R2 = 0.48, 0.22 at 40 days after planting (DAP), R2 = 0.28, 0.73 at 60 DAP, R2 = 0.62, 0.82 at 80 DAP, R2 = 0.58, 0.83 at 100 DAP for RCM and RCI, respectively). The canopy biomass index (RNDVI) was significantly associated with dEONR only at tuber bulking (R2 = 0.51, 0.85 at 80 DAP and R2 = 0.48, 0.51 at 100 DAP, for GS and CC, respectively). The canopy chlorophyll indices performed better than the canopy biomass indices in measuring N stress. The optical sensor CC was better than the GS in predicting N stress because it measures the RNDVI and the RCI in a single reading.
publishDate 2016
dc.date.none.fl_str_mv 2016-06
2019-06-21T14:38:47Z
2019-06-21T14:38:47Z
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/20.500.12123/5354
https://link.springer.com/article/10.1007/s12230-016-9501-0
1099-209X
1874-9380
https://doi.org/10.1007/s12230-016-9501-0
url http://hdl.handle.net/20.500.12123/5354
https://link.springer.com/article/10.1007/s12230-016-9501-0
https://doi.org/10.1007/s12230-016-9501-0
identifier_str_mv 1099-209X
1874-9380
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.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv American Journal of Potato Research 93 (3) : 253–263 (June 2016)
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 12.623145

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