Detecção do estado hídrico em híbridos de milho com imagens aéreas obtidas por aeronave remotamente pilotada

Alzeneide da Silva Lopes; Aderson Soares de Andrade Júnior; Edson Alves Bastos; Carlos Antônio Ferreira de Sousa; Raphael Augusto das Chagas Noqueli Casari; Magna Soelma Beserra de Moura

doi:10.1590/1983-21252024v3711701rc

Authors

Alzeneide da Silva Lopes Postgraduate Program in Agronomy, Universidade Federal do Piauí, Teresina, PI, Brazil https://orcid.org/0000-0002-6086-3567
Aderson Soares de Andrade Júnior Embrapa Meio-Norte, Teresina, PI, Brazil https://orcid.org/0000-0002-0619-1851
Edson Alves Bastos Embrapa Meio-Norte, Teresina, PI, Brazil https://orcid.org/0000-0002-6910-8162
Carlos Antônio Ferreira de Sousa Embrapa Meio-Norte, Teresina, PI, Brazil https://orcid.org/0000-0003-3497-0761
Raphael Augusto das Chagas Noqueli Casari Embrapa Agroenergia, Brasília, DF, Brazil https://orcid.org/0000-0002-5996-4432
Magna Soelma Beserra de Moura Embrapa Semiárido, Petrolina, PE, Brazil https://orcid.org/0000-0002-2844-1399

DOI:

https://doi.org/10.1590/1983-21252024v3711701rc

Keywords:

Drone. Cultivar. Water stress. Vegetation index. Remote sensing.

Abstract

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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