Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levels

Detalhes bibliográficos
Autor(a) principal: Prates Coelho, Anderson
Data de Publicação: 2018
Outros Autores: Luciano Rosalen, David, Teixeira de Faria, Rogério
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Tropical (Online)
Texto Completo: https://revistas.ufg.br/pat/article/view/51523
Resumo: Vegetation indices are widely used to indicate the nutritional status of crops, as well as to estimate their harvest yield. However, their accuracy is influenced by the phenological stage of evaluation and the index used. The present study aimed to evaluate the accuracy of the Normalized Difference Vegetation Index (NDVI) and Inverse Ratio Vegetation Index (IRVI) in the prediction of grain yield and biomass of white oat cultivated under irrigation levels, besides indicating the best phenological stage for evaluation. The irrigation levels consisted of 11 %, 31 %, 60 %, 87 % and 100 % of the maximum evapotranspiration, with four replicates. The mean values for NDVI and IRVI were determined using an active terrestrial sensor, at four phenological stages (4, 8, 10 and 10.5.4). The white oat grain yield and biomass may be estimated with a high precision using the NDVI and IRVI. The NDVI was more accurate than the IRVI. The grain yield estimate was more accurate from the flag leaf sheath appearance stage (10), whereas, for the biomass, the best estimate was for the kernel watery ripe stage (10.5.4).
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spelling Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levelsÍndices de vegetação na predição da produtividade de biomassa e grãos da aveia-branca sob lâminas de irrigaçãoGeotechnologyremote sensingwater stress.GeotecnologiaSensoriamento remotoEstresse hídricoVegetation indices are widely used to indicate the nutritional status of crops, as well as to estimate their harvest yield. However, their accuracy is influenced by the phenological stage of evaluation and the index used. The present study aimed to evaluate the accuracy of the Normalized Difference Vegetation Index (NDVI) and Inverse Ratio Vegetation Index (IRVI) in the prediction of grain yield and biomass of white oat cultivated under irrigation levels, besides indicating the best phenological stage for evaluation. The irrigation levels consisted of 11 %, 31 %, 60 %, 87 % and 100 % of the maximum evapotranspiration, with four replicates. The mean values for NDVI and IRVI were determined using an active terrestrial sensor, at four phenological stages (4, 8, 10 and 10.5.4). The white oat grain yield and biomass may be estimated with a high precision using the NDVI and IRVI. The NDVI was more accurate than the IRVI. The grain yield estimate was more accurate from the flag leaf sheath appearance stage (10), whereas, for the biomass, the best estimate was for the kernel watery ripe stage (10.5.4).Índices de vegetação são muito utilizados para indicar o estado nutricional das culturas, bem como estimar sua produtividade final. No entanto, sua precisão é influenciada pelo estágio fenológico da avaliação e pelo índice utilizado. Objetivou-se avaliar a acurácia do Índice de Vegetação por Diferença Normalizada (IVDN) e do Índice de Vegetação de Proporção Inversa (IVPI), na predição da produtividade de grãos e biomassa de aveia-branca cultivada sob lâminas de irrigação, além de indicar o melhor estádio fenológico para avaliação. As lâminas de irrigação foram de 11 %, 31 %, 60 %, 87 % e 100 % da evapotranspiração máxima, com quatro repetições. Os valores médios de IVDN e IVPI foram determinados utilizando-se um sensor terrestre ativo, em quatro estágios fenológicos (4, 8, 10 e 10.5.4). A produtividade de grãos e biomassa de aveia branca podem ser estimadas com elevada precisão utilizando-se os índices IVDN e IVPI. O IVDN apresentou maior acurácia do que o IVPI. A estimativa da produtividade de grãos resultou em maior acurácia a partir do estádio de aparecimento da bainha da folha bandeira (10), enquanto, para a biomassa, a melhor estimativa foi para o estádio de grão aquoso (10.5.4).Escola de Agronomia - Universidade Federal de Goiás2018-06-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfhttps://revistas.ufg.br/pat/article/view/51523Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 48, n. 2, Apr./Jun. 2018; 109-117Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 48, n. 2, abr./jun. 2018; 109-117Pesquisa Agropecuária Tropical; v. 48, n. 2, abr./jun. 2018; 109-1171983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGenghttps://revistas.ufg.br/pat/article/view/51523/25659Copyright (c) 2018 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics)info:eu-repo/semantics/openAccessPrates Coelho, AndersonLuciano Rosalen, DavidTeixeira de Faria, Rogério2020-07-13T19:04:21Zoai:ojs.revistas.ufg.br:article/51523Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-05-21T19:56:19.744273Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levels
Índices de vegetação na predição da produtividade de biomassa e grãos da aveia-branca sob lâminas de irrigação
title Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levels
spellingShingle Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levels
Prates Coelho, Anderson
Geotechnology
remote sensing
water stress.
Geotecnologia
Sensoriamento remoto
Estresse hídrico
title_short Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levels
title_full Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levels
title_fullStr Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levels
title_full_unstemmed Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levels
title_sort Vegetation indices in the prediction of biomass and grain yield of white oat under irrigation levels
author Prates Coelho, Anderson
author_facet Prates Coelho, Anderson
Luciano Rosalen, David
Teixeira de Faria, Rogério
author_role author
author2 Luciano Rosalen, David
Teixeira de Faria, Rogério
author2_role author
author
dc.contributor.author.fl_str_mv Prates Coelho, Anderson
Luciano Rosalen, David
Teixeira de Faria, Rogério
dc.subject.por.fl_str_mv Geotechnology
remote sensing
water stress.
Geotecnologia
Sensoriamento remoto
Estresse hídrico
topic Geotechnology
remote sensing
water stress.
Geotecnologia
Sensoriamento remoto
Estresse hídrico
description Vegetation indices are widely used to indicate the nutritional status of crops, as well as to estimate their harvest yield. However, their accuracy is influenced by the phenological stage of evaluation and the index used. The present study aimed to evaluate the accuracy of the Normalized Difference Vegetation Index (NDVI) and Inverse Ratio Vegetation Index (IRVI) in the prediction of grain yield and biomass of white oat cultivated under irrigation levels, besides indicating the best phenological stage for evaluation. The irrigation levels consisted of 11 %, 31 %, 60 %, 87 % and 100 % of the maximum evapotranspiration, with four replicates. The mean values for NDVI and IRVI were determined using an active terrestrial sensor, at four phenological stages (4, 8, 10 and 10.5.4). The white oat grain yield and biomass may be estimated with a high precision using the NDVI and IRVI. The NDVI was more accurate than the IRVI. The grain yield estimate was more accurate from the flag leaf sheath appearance stage (10), whereas, for the biomass, the best estimate was for the kernel watery ripe stage (10.5.4).
publishDate 2018
dc.date.none.fl_str_mv 2018-06-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufg.br/pat/article/view/51523
url https://revistas.ufg.br/pat/article/view/51523
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufg.br/pat/article/view/51523/25659
dc.rights.driver.fl_str_mv Copyright (c) 2018 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics)
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics)
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
dc.source.none.fl_str_mv Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 48, n. 2, Apr./Jun. 2018; 109-117
Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 48, n. 2, abr./jun. 2018; 109-117
Pesquisa Agropecuária Tropical; v. 48, n. 2, abr./jun. 2018; 109-117
1983-4063
reponame:Pesquisa Agropecuária Tropical (Online)
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Pesquisa Agropecuária Tropical (Online)
collection Pesquisa Agropecuária Tropical (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv aseleguini.pat@gmail.com||mgoes@agro.ufg.br
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