Estimating chlorophyll and nitrogen contents in maize leaves (Zea mays L.) with spectroscopic analysis

The relationship between reflectance and chlorophyll (Chl) and nitrogen (N) contents in maize leaves was analyzed to identify useful spectral indices for diagnosing the nutritional status of crops in terms of N. An experiment was carried out in random blocks with five treatments of nitrogen fertiliz...

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Main Authors: Ramos-García, Carlos Arturo, Martínez-Martínez, Luis Joel, Bernal-Riobo, Jaime Humberto
Format: Online
Language:eng
Published: Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC 2022
Subjects:
Online Access:https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/13398
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author Ramos-García, Carlos Arturo
Martínez-Martínez, Luis Joel
Bernal-Riobo, Jaime Humberto
author_facet Ramos-García, Carlos Arturo
Martínez-Martínez, Luis Joel
Bernal-Riobo, Jaime Humberto
author_sort Ramos-García, Carlos Arturo
collection OJS
description The relationship between reflectance and chlorophyll (Chl) and nitrogen (N) contents in maize leaves was analyzed to identify useful spectral indices for diagnosing the nutritional status of crops in terms of N. An experiment was carried out in random blocks with five treatments of nitrogen fertilizer (0, 50, 100, 150, 200 kg ha-1) and four repetitions and the foliar spectral responses were measured with a FieldSpec 4 spectroradiometer in three phenological stages. Several spectral indices and values of red edge position (REP) were calculated using various methods. Red-edge position linear interpolation (REP-L), Red-edge position linear extrapolation (REP-LE), REP-Inverted Gaussian fitting technique (REP-IG), REP-Polynomial fitting technique (REP-P) and NDVI had the best relationship with chlorophyll and nitrogen contents. The first derivative of reflectance, between 560 and 760 nm, transformed by the normal state variable (SNV) also had highly significant correlation coefficients with the N, Chl, and yield. Additionally, the corn yield showed highly significant correlations with the N and Chl contents. From the point of view of the diagnosis of the nutritional status of corn, the spectral indices and REP values were suitable for establishing the nutritional status of corn in relation to N in the phenological stages V8 and R1.
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spelling oai:oai.revistas.uptc.edu.co:article-133982022-07-11T19:23:51Z Estimating chlorophyll and nitrogen contents in maize leaves (Zea mays L.) with spectroscopic analysis Estimación de los contenidos de clorofila y nitrógeno en hojas de maíz (Zea mays L.) mediante análisis espectroscópico Ramos-García, Carlos Arturo Martínez-Martínez, Luis Joel Bernal-Riobo, Jaime Humberto Reflectance Spectroradiometry Crops Colombia Plant nutrition Reflectancia Espectroradiometría Cultivos Colombia Nutrición vegetal The relationship between reflectance and chlorophyll (Chl) and nitrogen (N) contents in maize leaves was analyzed to identify useful spectral indices for diagnosing the nutritional status of crops in terms of N. An experiment was carried out in random blocks with five treatments of nitrogen fertilizer (0, 50, 100, 150, 200 kg ha-1) and four repetitions and the foliar spectral responses were measured with a FieldSpec 4 spectroradiometer in three phenological stages. Several spectral indices and values of red edge position (REP) were calculated using various methods. Red-edge position linear interpolation (REP-L), Red-edge position linear extrapolation (REP-LE), REP-Inverted Gaussian fitting technique (REP-IG), REP-Polynomial fitting technique (REP-P) and NDVI had the best relationship with chlorophyll and nitrogen contents. The first derivative of reflectance, between 560 and 760 nm, transformed by the normal state variable (SNV) also had highly significant correlation coefficients with the N, Chl, and yield. Additionally, the corn yield showed highly significant correlations with the N and Chl contents. From the point of view of the diagnosis of the nutritional status of corn, the spectral indices and REP values were suitable for establishing the nutritional status of corn in relation to N in the phenological stages V8 and R1. Se analizó la relación entre la reflectancia y el contenido de clorofila (Chl) y nitrógeno (N) en hojas de maíz con el fin de identificar índices espectrales útiles para diagnosticar el estado nutricional del cultivo en términos de N. Se realizó un experimento en bloques al azar con cinco tratamientos de fertilizante nitrogenado (0, 50, 100, 150, 200 kg ha-1) y cuatro repeticiones y se midieron las respuestas espectrales foliares con un espectro-radiómetro FieldSpec 4 en tres etapas fenológicas, varios índices espectrales se calcularon al igual que los valores de posición del borde rojo (REP) mediante varios métodos. La posición del borde del rojo por el método de la Interpolación lineal (REP-L), por el método de la extrapolación lineal de (REP-LE), la técnica de ajuste de gaussiano invertido REP (REP-IG), la posición del borde del rojo mediante el ajuste de polinomio (REP-P) y el indicie normalizado de vegetación (NDVI) tuvieron la mejor relación con el contenido de clorofila y nitrógeno. La primera derivada de la reflectancia, entre 560 y 760 nm, transformada median la variable de estado normal (SNV) también tuvo coeficientes de correlación altamente significativos con N, Chl y rendimiento. Adicionalmente, el rendimiento de maíz mostró correlaciones altamente significativas con los contenidos de N y Chl. Desde el punto de vista del diagnóstico del estado nutricional del maíz, los índices espectrales y valores de REP fueron apropiados para establecer el estado nutricional del maíz con relación al N en los estados fenológicos V8 y R1. Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC 2022-01-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Text Texto application/pdf https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/13398 10.17584/rcch.2022v16i1.13398 Revista Colombiana de Ciencias Hortícolas; Vol. 16 No. 1 (2022); e13398 Revista Colombiana de Ciencias Hortícolas; Vol. 16 Núm. 1 (2022); e13398 Revista Colombiana de Ciencias Hortícolas; Vol. 16 No 1 (2022); e13398 Revista Colombiana de Ciencias Hortícolas; V. 16 N. 1 (2022); e13398 Revista Colombiana de Ciencias Hortícolas; v. 16 n. 1 (2022); e13398 2422-3719 2011-2173 eng https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/13398/11699 Colombia; Meta; Puesto Lopez Colombia; Meta; Puesto López Copyright (c) 2022 Revista Colombiana de Ciencias Hortícolas http://creativecommons.org/licenses/by-nc-sa/4.0
spellingShingle Reflectance
Spectroradiometry
Crops
Colombia
Plant nutrition
Reflectancia
Espectroradiometría
Cultivos
Colombia
Nutrición vegetal
Ramos-García, Carlos Arturo
Martínez-Martínez, Luis Joel
Bernal-Riobo, Jaime Humberto
Estimating chlorophyll and nitrogen contents in maize leaves (Zea mays L.) with spectroscopic analysis
title Estimating chlorophyll and nitrogen contents in maize leaves (Zea mays L.) with spectroscopic analysis
title_alt Estimación de los contenidos de clorofila y nitrógeno en hojas de maíz (Zea mays L.) mediante análisis espectroscópico
title_full Estimating chlorophyll and nitrogen contents in maize leaves (Zea mays L.) with spectroscopic analysis
title_fullStr Estimating chlorophyll and nitrogen contents in maize leaves (Zea mays L.) with spectroscopic analysis
title_full_unstemmed Estimating chlorophyll and nitrogen contents in maize leaves (Zea mays L.) with spectroscopic analysis
title_short Estimating chlorophyll and nitrogen contents in maize leaves (Zea mays L.) with spectroscopic analysis
title_sort estimating chlorophyll and nitrogen contents in maize leaves zea mays l with spectroscopic analysis
topic Reflectance
Spectroradiometry
Crops
Colombia
Plant nutrition
Reflectancia
Espectroradiometría
Cultivos
Colombia
Nutrición vegetal
topic_facet Reflectance
Spectroradiometry
Crops
Colombia
Plant nutrition
Reflectancia
Espectroradiometría
Cultivos
Colombia
Nutrición vegetal
url https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/13398
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