Characterization of spatial variability of the relative chlorophyll index in wheat crop

Site-specific nitrogen application, based on relative chlorophyll index from leaves, may provide many economic and environmental benefits, however, the knowledge on sampling methodologies is still incipient. Thus, this study aimed to evaluate the use of different sampling grids to characterize the s...

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Main Authors: Osmar Henrique de Castro Pias, Antônio Luis Santi, Maurício Roberto Cherubin, Juliano Berghetti, Thiago Campos de Oliveira
Format: Article
Language:English
Published: Universidade Federal de Goiás 2014-09-01
Series:Pesquisa Agropecuária Tropical
Subjects:
Online Access:https://www.revistas.ufg.br/pat/article/view/29427/17637
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author Osmar Henrique de Castro Pias
Antônio Luis Santi
Maurício Roberto Cherubin
Juliano Berghetti
Thiago Campos de Oliveira
author_facet Osmar Henrique de Castro Pias
Antônio Luis Santi
Maurício Roberto Cherubin
Juliano Berghetti
Thiago Campos de Oliveira
author_sort Osmar Henrique de Castro Pias
collection DOAJ
description Site-specific nitrogen application, based on relative chlorophyll index from leaves, may provide many economic and environmental benefits, however, the knowledge on sampling methodologies is still incipient. Thus, this study aimed to evaluate the use of different sampling grids to characterize the spatial variability of relative chlorophyll index of leaves from wheat crop and elaborate thematic maps for site-specific nitrogen application. For determining the relative chlorophyll index, a CFL 1030 chlorophyll meter was used on a regular sampling grid of 10 m x 10 m with 472 sampling points. Based on the initial sampling grid, by using the point elimination method, the simulation was performed in the following sampling grids: 10 m x 20 m; 20 m x 20 m; 20 m x 30 m; 30 m x 30 m; 30 m x 40 m; and 40 m x 40 m. The increase of the sampling grid reduced the diagnostic accuracy of relative chlorophyll index in wheat leaves. As the sampling grid increased, the maps became more general and information on the spatial variability of the relative chlorophyll index were lost. Sampling grids smaller or equal to 20 m x 20 m were effective to detect the spatial variability of the relative chlorophyll index in wheat leaves and enable the elaboration of thematic maps for site-specific nitrogen application.
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spelling doaj.art-4c7dd07ac69646ada0215eef8a8b45fe2022-12-22T01:44:25ZengUniversidade Federal de GoiásPesquisa Agropecuária Tropical1983-40632014-09-0144445145910.1590/S1983-40632014000400013 Characterization of spatial variability of the relative chlorophyll index in wheat cropOsmar Henrique de Castro Pias0Antônio Luis Santi1Maurício Roberto Cherubin2Juliano Berghetti3Thiago Campos de Oliveira4Universidade Federal de Santa Maria (UFSM), Departamento de Ciências Agronômicas e Ambientais, Frederico Westphalen, RS, Brasil.Universidade Federal de Santa Maria (UFSM), Departamento de Ciências Agronômicas e Ambientais, Frederico Westphalen, RS, Brasil.Universidade de São Paulo (USP), Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ), Departamento de Ciência do Solo, Piracicaba, SP, Brasil. Universidade Federal de Santa Maria (UFSM), Departamento de Ciências Agronômicas e Ambientais, Frederico Westphalen, RS, Brasil.Universidade de Brasília (UnB), Faculdade de Agronomia e Medicina Veterinária, Departamento de Agronomia, Brasília, DF, Brasil.Site-specific nitrogen application, based on relative chlorophyll index from leaves, may provide many economic and environmental benefits, however, the knowledge on sampling methodologies is still incipient. Thus, this study aimed to evaluate the use of different sampling grids to characterize the spatial variability of relative chlorophyll index of leaves from wheat crop and elaborate thematic maps for site-specific nitrogen application. For determining the relative chlorophyll index, a CFL 1030 chlorophyll meter was used on a regular sampling grid of 10 m x 10 m with 472 sampling points. Based on the initial sampling grid, by using the point elimination method, the simulation was performed in the following sampling grids: 10 m x 20 m; 20 m x 20 m; 20 m x 30 m; 30 m x 30 m; 30 m x 40 m; and 40 m x 40 m. The increase of the sampling grid reduced the diagnostic accuracy of relative chlorophyll index in wheat leaves. As the sampling grid increased, the maps became more general and information on the spatial variability of the relative chlorophyll index were lost. Sampling grids smaller or equal to 20 m x 20 m were effective to detect the spatial variability of the relative chlorophyll index in wheat leaves and enable the elaboration of thematic maps for site-specific nitrogen application.https://www.revistas.ufg.br/pat/article/view/29427/17637Triticum aestivum L.precision agriculturegeostatistics
spellingShingle Osmar Henrique de Castro Pias
Antônio Luis Santi
Maurício Roberto Cherubin
Juliano Berghetti
Thiago Campos de Oliveira
Characterization of spatial variability of the relative chlorophyll index in wheat crop
Pesquisa Agropecuária Tropical
Triticum aestivum L.
precision agriculture
geostatistics
title Characterization of spatial variability of the relative chlorophyll index in wheat crop
title_full Characterization of spatial variability of the relative chlorophyll index in wheat crop
title_fullStr Characterization of spatial variability of the relative chlorophyll index in wheat crop
title_full_unstemmed Characterization of spatial variability of the relative chlorophyll index in wheat crop
title_short Characterization of spatial variability of the relative chlorophyll index in wheat crop
title_sort characterization of spatial variability of the relative chlorophyll index in wheat crop
topic Triticum aestivum L.
precision agriculture
geostatistics
url https://www.revistas.ufg.br/pat/article/view/29427/17637
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