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

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...

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Main Authors: Giletto, Claudia Marcela, Echeverria, Hernan Eduardo
Format: info:ar-repo/semantics/artículo
Language:Inglés
Published: Springer 2019
Subjects:
Online Access: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
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author Giletto, Claudia Marcela
Echeverria, Hernan Eduardo
author_browse Echeverria, Hernan Eduardo
Giletto, Claudia Marcela
author_facet Giletto, Claudia Marcela
Echeverria, Hernan Eduardo
author_sort Giletto, Claudia Marcela
collection INTA Digital
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.
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institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
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spelling INTA53542025-07-11T11:35:48Z Canopy indices to quantify the economic optimum nitrogen rate in processing potato Giletto, Claudia Marcela Echeverria, Hernan Eduardo Papa Nitrógeno Clorofilas Cubierta de Copas Nutrición de las Plantas Potatoes Nitrogen Chlorophylls Canopy Plant Nutrition 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 2019-06-21T14:38:47Z 2019-06-21T14:38:47Z 2016-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf Springer American Journal of Potato Research 93 (3) : 253–263 (June 2016)
spellingShingle Papa
Nitrógeno
Clorofilas
Cubierta de Copas
Nutrición de las Plantas
Potatoes
Nitrogen
Chlorophylls
Canopy
Plant Nutrition
Giletto, Claudia Marcela
Echeverria, Hernan Eduardo
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
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_short 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
topic Papa
Nitrógeno
Clorofilas
Cubierta de Copas
Nutrición de las Plantas
Potatoes
Nitrogen
Chlorophylls
Canopy
Plant Nutrition
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
work_keys_str_mv AT gilettoclaudiamarcela canopyindicestoquantifytheeconomicoptimumnitrogenrateinprocessingpotato
AT echeverriahernaneduardo canopyindicestoquantifytheeconomicoptimumnitrogenrateinprocessingpotato