Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1160506
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dc.contributor.authorLOPES, A. da S.
dc.contributor.authorANDRADE JUNIOR, A. S. de
dc.contributor.authorBASTOS, E. A.
dc.contributor.authorSOUSA, C. A. F. de
dc.contributor.authorCASARI, R. A. das C. N.
dc.contributor.authorMOURA, M. S. B. de
dc.date.accessioned2024-05-23T18:52:36Z-
dc.date.available2024-05-23T18:52:36Z-
dc.date.created2024-01-08
dc.date.issued2024
dc.identifier.citationRevista Caatinga, v. 37, e11701, 2024.
dc.identifier.issn1983-2125
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1160506-
dc.descriptionThe 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.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectDrone
dc.subjectCultivar
dc.subjectEstresse hídrico
dc.subjectÍndice de vegetação
dc.titleAssessment of maize hybrid water status using aerial images from an unmanned aerial vehicle.
dc.typeArtigo de periódico
dc.subject.thesagroVariedade
dc.subject.thesagroSensoriamento Remoto
dc.subject.thesagroMilho
dc.subject.thesagroÍndice de Seleção
dc.subject.thesagroVegetação
dc.subject.thesagroClima
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusWater stress
dc.subject.nalthesaurusVegetation index
riaa.ainfo.id1160506
riaa.ainfo.lastupdate2024-05-23
dc.identifier.doihttp://dx.doi.org/10.1590/1983-21252024v3711701rc
dc.contributor.institutionALZENEIDE DA S. LOPES, UNIVERSIDADE FEDERAL DO PIAUÍ; ADERSON SOARES DE ANDRADE JUNIOR, CPAMN; EDSON ALVES BASTOS, CPAMN; CARLOS ANTONIO FERREIRA DE SOUSA, CPAMN; RAPHAEL A. DAS C. N. CASARI, EMBRAPA AGROENERGIA; MAGNA SOELMA BESERRA DE MOURA, CPATSA.
Aparece nas coleções:Artigo em periódico indexado (CPATSA)

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