Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle

Detalhes bibliográficos
Autor(a) principal: Lopes, Alzeneide da Silva
Data de Publicação: 2023
Outros Autores: Andrade Júnior, Aderson Soares de, Bastos, Edson Alves, Sousa, Carlos Antônio Ferreira de, Casari , Raphael Augusto das Chagas Noqueli, Moura , Magna Soelma Beserra de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Caatinga
Texto Completo: https://periodicos.ufersa.edu.br/caatinga/article/view/11701
Resumo: The objective of this work was to evaluate the potential of vegetation indices (VIs), obtained using aerial images from an unmanned aerial vehicle (UAV), for assessing water status of maize hybrids subjected to different water regimes under the soil and climate conditions of Teresina, Piauí, Brazil. Evaluations were carried out considering the application of five water regimes (WR) based on the crop evapotranspiration (ETc) (40%, 60%, 80%, 100%, and 120% of ETc) for three maize hybrids: BRS 3046 (conventional triple hybrid), BRS 2022 (conventional double hybrid), Status VIP3 (transgenic simple hybrid). A randomized block experimental design with four replications was used, in a 5×3 split-plot arrangement, consisting of WRs in the plots and maize hybrids in the subplots. A UAV was used for acquiring multispectral images. Eighteen VIs were evaluated and correlated with stomatal conductance (gs), leaf relative water content (RWC), and grain yield (GY). The VIs TCARI-RE and NDVI presented correlation with gs, whereas MNGRD and GCI presented correlation with RWC; therefore, they were considered promising for assessing the water status of maize plants. NDVI and WDRVI presented correlations with GY. Maps of NDVI, MNGRV, and WDRVI showed spatial correlation with gs, RWC, and GY measurements, respectively, in response to the applied WRs, denoting potential for assessing the water status of maize plants using aerial images from UAV.
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spelling Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicleDetecção do estado hídrico em híbridos de milho com imagens aéreas obtidas por aeronave remotamente pilotadaDrone. Cultivar. Estresse hídrico. Índice de vegetação. Sensoriamento remoto.Drone. Cultivar. Water stress. Vegetation index. Remote sensing.The objective of this work was to evaluate the potential of vegetation indices (VIs), obtained using aerial images from an unmanned aerial vehicle (UAV), for assessing water status of maize hybrids subjected to different water regimes under the soil and climate conditions of Teresina, Piauí, Brazil. Evaluations were carried out considering the application of five water regimes (WR) based on the crop evapotranspiration (ETc) (40%, 60%, 80%, 100%, and 120% of ETc) for three maize hybrids: BRS 3046 (conventional triple hybrid), BRS 2022 (conventional double hybrid), Status VIP3 (transgenic simple hybrid). A randomized block experimental design with four replications was used, in a 5×3 split-plot arrangement, consisting of WRs in the plots and maize hybrids in the subplots. A UAV was used for acquiring multispectral images. Eighteen VIs were evaluated and correlated with stomatal conductance (gs), leaf relative water content (RWC), and grain yield (GY). The VIs TCARI-RE and NDVI presented correlation with gs, whereas MNGRD and GCI presented correlation with RWC; therefore, they were considered promising for assessing the water status of maize plants. NDVI and WDRVI presented correlations with GY. Maps of NDVI, MNGRV, and WDRVI showed spatial correlation with gs, RWC, and GY measurements, respectively, in response to the applied WRs, denoting potential for assessing the water status of maize plants using aerial images from UAV.Objetivou-se avaliar a capacidade de índices de vegetação (IV), obtidos de imagens aéreas por aeronave remotamente pilotada (ARP), em detectar o estado hídrico de híbridos de milho submetidos a diferentes regimes hídricos, nas condições de solo e clima de Teresina, Piauí, Brasil. Avaliou-se a aplicação de cinco regimes hídricos (RHs) com base na evapotranspiração da cultura (ETc) (40%, 60%, 80%, 100% e 120% da ETc) em três híbridos de milho:  BRS 3046 (híbrido triplo convencional); BRS 2022 (híbrido duplo convencional); e Status VIP3(híbrido simples transgênico). O delineamento experimental foi o de blocos ao acaso, parcelas subdivididas, sendo as parcelas os RHs e as subparcelas os híbridos, com quatro repetições. Utilizou-se uma ARP para a aquisição das imagens multiespectrais. Avaliaram-se 18 índices de vegetação, os quais foram correlacionados com medidas de condutância estomática (gs), conteúdo relativo de água na folha (CRA) e produtividade de grãos (PG). Os IVs TCARI-RE e NDVI apresentaram correlação com gs e os IVs MNGRD e GCI foram correlacionados com o CRA e, portanto, são considerados promissores na detecção do estado hídrico do milho. Os IVs NDVI e WDRVI apresentaram correlações com a PG. Os mapas de NDVI, MNGRV e WDRVI mostraram correlação espacial com as medidas de gs, CRA e PG, respectivamente em resposta aos RHs, indicando aplicação potencial na detecção do estado hídrico do milho por meio de imagens aéreas obtidas por ARPs.Universidade Federal Rural do Semi-Árido2023-12-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/1170110.1590/1983-21252024v3711701rcREVISTA CAATINGA; Vol. 37 (2024); e11701Revista Caatinga; v. 37 (2024); e117011983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/11701/11417Copyright (c) 2023 Revista Caatingainfo:eu-repo/semantics/openAccessLopes, Alzeneide da SilvaAndrade Júnior, Aderson Soares deBastos, Edson AlvesSousa, Carlos Antônio Ferreira deCasari , Raphael Augusto das Chagas NoqueliMoura , Magna Soelma Beserra de2024-04-22T17:59:21Zoai:ojs.periodicos.ufersa.edu.br:article/11701Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2024-04-29T09:47:04.897947Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)true
dc.title.none.fl_str_mv Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle
Detecção do estado hídrico em híbridos de milho com imagens aéreas obtidas por aeronave remotamente pilotada
title Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle
spellingShingle Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle
Lopes, Alzeneide da Silva
Drone. Cultivar. Estresse hídrico. Índice de vegetação. Sensoriamento remoto.
Drone. Cultivar. Water stress. Vegetation index. Remote sensing.
title_short Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle
title_full Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle
title_fullStr Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle
title_full_unstemmed Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle
title_sort Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle
author Lopes, Alzeneide da Silva
author_facet Lopes, Alzeneide da Silva
Andrade Júnior, Aderson Soares de
Bastos, Edson Alves
Sousa, Carlos Antônio Ferreira de
Casari , Raphael Augusto das Chagas Noqueli
Moura , Magna Soelma Beserra de
author_role author
author2 Andrade Júnior, Aderson Soares de
Bastos, Edson Alves
Sousa, Carlos Antônio Ferreira de
Casari , Raphael Augusto das Chagas Noqueli
Moura , Magna Soelma Beserra de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Lopes, Alzeneide da Silva
Andrade Júnior, Aderson Soares de
Bastos, Edson Alves
Sousa, Carlos Antônio Ferreira de
Casari , Raphael Augusto das Chagas Noqueli
Moura , Magna Soelma Beserra de
dc.subject.por.fl_str_mv Drone. Cultivar. Estresse hídrico. Índice de vegetação. Sensoriamento remoto.
Drone. Cultivar. Water stress. Vegetation index. Remote sensing.
topic Drone. Cultivar. Estresse hídrico. Índice de vegetação. Sensoriamento remoto.
Drone. Cultivar. Water stress. Vegetation index. Remote sensing.
description The objective of this work was to evaluate the potential of vegetation indices (VIs), obtained using aerial images from an unmanned aerial vehicle (UAV), for assessing water status of maize hybrids subjected to different water regimes under the soil and climate conditions of Teresina, Piauí, Brazil. Evaluations were carried out considering the application of five water regimes (WR) based on the crop evapotranspiration (ETc) (40%, 60%, 80%, 100%, and 120% of ETc) for three maize hybrids: BRS 3046 (conventional triple hybrid), BRS 2022 (conventional double hybrid), Status VIP3 (transgenic simple hybrid). A randomized block experimental design with four replications was used, in a 5×3 split-plot arrangement, consisting of WRs in the plots and maize hybrids in the subplots. A UAV was used for acquiring multispectral images. Eighteen VIs were evaluated and correlated with stomatal conductance (gs), leaf relative water content (RWC), and grain yield (GY). The VIs TCARI-RE and NDVI presented correlation with gs, whereas MNGRD and GCI presented correlation with RWC; therefore, they were considered promising for assessing the water status of maize plants. NDVI and WDRVI presented correlations with GY. Maps of NDVI, MNGRV, and WDRVI showed spatial correlation with gs, RWC, and GY measurements, respectively, in response to the applied WRs, denoting potential for assessing the water status of maize plants using aerial images from UAV.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-22
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://periodicos.ufersa.edu.br/caatinga/article/view/11701
10.1590/1983-21252024v3711701rc
url https://periodicos.ufersa.edu.br/caatinga/article/view/11701
identifier_str_mv 10.1590/1983-21252024v3711701rc
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/11701/11417
dc.rights.driver.fl_str_mv Copyright (c) 2023 Revista Caatinga
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Revista Caatinga
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
dc.source.none.fl_str_mv REVISTA CAATINGA; Vol. 37 (2024); e11701
Revista Caatinga; v. 37 (2024); e11701
1983-2125
0100-316X
reponame:Revista Caatinga
instname:Universidade Federal Rural do Semi-Árido (UFERSA)
instacron:UFERSA
instname_str Universidade Federal Rural do Semi-Árido (UFERSA)
instacron_str UFERSA
institution UFERSA
reponame_str Revista Caatinga
collection Revista Caatinga
repository.name.fl_str_mv Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)
repository.mail.fl_str_mv patricio@ufersa.edu.br|| caatinga@ufersa.edu.br
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