Estimating foliar nitrogen in Eucalyptus using vegetation indexes
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | https://www.revistas.usp.br/sa/article/view/130934 |
Resumo: | Nitrogen (N) has commonly been applied in Eucalyptus stands in Brazil and it has a direct relation with biomass production and chlorophyll content. Foliar N concentrations are used to diagnose soil and plant fertility levels and to develop N fertilizer application rates. Normally, foliar N is obtained using destructive methods, but indirect analyses using Vegetation Indexes (VIs) may be possible. The aim of this work was to evaluate VIs to estimate foliar N concentration in three Eucalyptus clones. Lower crown leaves of three clonal Eucalyptus plantations (25 months old) were classified into five color patterns using the Munsell Plant Tissue Color Chart. For each color, N concentration was determined by the Kjeldahl method and foliar reflectance was measured using a CI-710 Miniature Leaf Spectrometer. Foliar reflectance data were used to obtain the VIs and the VIs were used to estimate N concentrations. In the visible region, the relationship between N concentration and reflectance percentage was negative. The highest correlations between VIs and N concentrations were obtained by the Inflection Point Position (IPP, r = 0.97), Normalized Difference Red-Edge (reNDVI, r = 0.97) and Modified Red-Edge Normalized Difference Vegetation Index (mNDI, r = 0.97). Vegetation indexes on the red edge region provided the most accurate estimates of foliar N concentration. The reNDVI index provided the best N concentration estimates in leaves of different colors of Eucalyptus urophylla × grandis and Eucalyptus urophylla × urophylla (R2 = 0.97 and RMSE = 0.91 g kg−1). |
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Scientia Agrícola (Online) |
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Estimating foliar nitrogen in Eucalyptus using vegetation indexesleaf nitrogen concentrationnon-destructive analysesspectrometerspectral reflectanceleaf reflectanceNitrogen (N) has commonly been applied in Eucalyptus stands in Brazil and it has a direct relation with biomass production and chlorophyll content. Foliar N concentrations are used to diagnose soil and plant fertility levels and to develop N fertilizer application rates. Normally, foliar N is obtained using destructive methods, but indirect analyses using Vegetation Indexes (VIs) may be possible. The aim of this work was to evaluate VIs to estimate foliar N concentration in three Eucalyptus clones. Lower crown leaves of three clonal Eucalyptus plantations (25 months old) were classified into five color patterns using the Munsell Plant Tissue Color Chart. For each color, N concentration was determined by the Kjeldahl method and foliar reflectance was measured using a CI-710 Miniature Leaf Spectrometer. Foliar reflectance data were used to obtain the VIs and the VIs were used to estimate N concentrations. In the visible region, the relationship between N concentration and reflectance percentage was negative. The highest correlations between VIs and N concentrations were obtained by the Inflection Point Position (IPP, r = 0.97), Normalized Difference Red-Edge (reNDVI, r = 0.97) and Modified Red-Edge Normalized Difference Vegetation Index (mNDI, r = 0.97). Vegetation indexes on the red edge region provided the most accurate estimates of foliar N concentration. The reNDVI index provided the best N concentration estimates in leaves of different colors of Eucalyptus urophylla × grandis and Eucalyptus urophylla × urophylla (R2 = 0.97 and RMSE = 0.91 g kg−1).Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2017-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/13093410.1590/1678-992x-2015-0477Scientia Agricola; v. 74 n. 2 (2017); 142-147Scientia Agricola; Vol. 74 Núm. 2 (2017); 142-147Scientia Agricola; Vol. 74 No. 2 (2017); 142-1471678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/130934/127393Copyright (c) 2017 Scientia Agricolainfo:eu-repo/semantics/openAccessOliveira, Luiz Felipe Ramalho deOliveira, Marcio Leles Romarco deGomes, Francisco SérgioSantana, Reynaldo Campos2017-06-12T11:50:07Zoai:revistas.usp.br:article/130934Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2017-06-12T11:50:07Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Estimating foliar nitrogen in Eucalyptus using vegetation indexes |
title |
Estimating foliar nitrogen in Eucalyptus using vegetation indexes |
spellingShingle |
Estimating foliar nitrogen in Eucalyptus using vegetation indexes Oliveira, Luiz Felipe Ramalho de leaf nitrogen concentration non-destructive analyses spectrometer spectral reflectance leaf reflectance |
title_short |
Estimating foliar nitrogen in Eucalyptus using vegetation indexes |
title_full |
Estimating foliar nitrogen in Eucalyptus using vegetation indexes |
title_fullStr |
Estimating foliar nitrogen in Eucalyptus using vegetation indexes |
title_full_unstemmed |
Estimating foliar nitrogen in Eucalyptus using vegetation indexes |
title_sort |
Estimating foliar nitrogen in Eucalyptus using vegetation indexes |
author |
Oliveira, Luiz Felipe Ramalho de |
author_facet |
Oliveira, Luiz Felipe Ramalho de Oliveira, Marcio Leles Romarco de Gomes, Francisco Sérgio Santana, Reynaldo Campos |
author_role |
author |
author2 |
Oliveira, Marcio Leles Romarco de Gomes, Francisco Sérgio Santana, Reynaldo Campos |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Oliveira, Luiz Felipe Ramalho de Oliveira, Marcio Leles Romarco de Gomes, Francisco Sérgio Santana, Reynaldo Campos |
dc.subject.por.fl_str_mv |
leaf nitrogen concentration non-destructive analyses spectrometer spectral reflectance leaf reflectance |
topic |
leaf nitrogen concentration non-destructive analyses spectrometer spectral reflectance leaf reflectance |
description |
Nitrogen (N) has commonly been applied in Eucalyptus stands in Brazil and it has a direct relation with biomass production and chlorophyll content. Foliar N concentrations are used to diagnose soil and plant fertility levels and to develop N fertilizer application rates. Normally, foliar N is obtained using destructive methods, but indirect analyses using Vegetation Indexes (VIs) may be possible. The aim of this work was to evaluate VIs to estimate foliar N concentration in three Eucalyptus clones. Lower crown leaves of three clonal Eucalyptus plantations (25 months old) were classified into five color patterns using the Munsell Plant Tissue Color Chart. For each color, N concentration was determined by the Kjeldahl method and foliar reflectance was measured using a CI-710 Miniature Leaf Spectrometer. Foliar reflectance data were used to obtain the VIs and the VIs were used to estimate N concentrations. In the visible region, the relationship between N concentration and reflectance percentage was negative. The highest correlations between VIs and N concentrations were obtained by the Inflection Point Position (IPP, r = 0.97), Normalized Difference Red-Edge (reNDVI, r = 0.97) and Modified Red-Edge Normalized Difference Vegetation Index (mNDI, r = 0.97). Vegetation indexes on the red edge region provided the most accurate estimates of foliar N concentration. The reNDVI index provided the best N concentration estimates in leaves of different colors of Eucalyptus urophylla × grandis and Eucalyptus urophylla × urophylla (R2 = 0.97 and RMSE = 0.91 g kg−1). |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/130934 10.1590/1678-992x-2015-0477 |
url |
https://www.revistas.usp.br/sa/article/view/130934 |
identifier_str_mv |
10.1590/1678-992x-2015-0477 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/130934/127393 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Scientia Agricola info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Scientia Agricola |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
dc.source.none.fl_str_mv |
Scientia Agricola; v. 74 n. 2 (2017); 142-147 Scientia Agricola; Vol. 74 Núm. 2 (2017); 142-147 Scientia Agricola; Vol. 74 No. 2 (2017); 142-147 1678-992X 0103-9016 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1800222792937897984 |