Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1797674030120042496 |