Cotton vegetation indices under diffentent control methods of ramularia leaf spot

Authors

  • Luiz Marcel Martins Universidade Federal de Mato Grosso do Sul, Chapadão do Sul
  • Everton da Silva Neiro Fundação Chapadão, Chapadão do Sul
  • Alfredo Ricere Dias Universidade Federal de Mato Grosso do Sul
  • Cassiano Garcia Roque
  • Fabio Henrique Rojo Baio Universidade Federal de Mato Grosso do Sul
  • Paulo Eduardo Teodoro Universidade Federal de Mato Grosso do Sul

DOI:

https://doi.org/10.14393/BJ-v34n6a2018-39975

Keywords:

Gossypium hirsutum L., Cotton diseases, Remote sensing, Multispectral sensors

Abstract

This work aimed to correlate treatments using fungicides to different vegetation indices in response to effects caused by ramularia leaf spot (Ramularia areola). The experiment was carried out in the municipality of Chapadão do Sul, state of Mato Grosso do Sul, in the harvest 2016/2017, and consisted of a randomized blocks design, with 17 treatments and four replications. Data were obtained from the Sequoia 4.0 passive sensor and the Green Seeker LT 200 active sensor. From the information recorded by the sensors, nine vegetation indices were generated and compared with the area under the curve of disease progression, plant height, yield, and agronomic efficiency, in 17 different treatments of fungicide products. Treatments responded differently to the product applied. The SAVI index (Soil Adjusted Vegetation Index), obtained from the band in the red spectral range, presented higher correlation to AACPD, agronomic efficiency, and yield. The NDVI index (Normalized Difference Vegetation Index) had a higher correlation to plant height and SR (simple ratio), both using the wavelength in the red spectral range.

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Published

2018-12-14

How to Cite

MARTINS, L.M., NEIRO, E. da S., DIAS, A.R., ROQUE, C.G., ROJO BAIO, F.H. and TEODORO, P.E., 2018. Cotton vegetation indices under diffentent control methods of ramularia leaf spot . Bioscience Journal [online], vol. 34, no. 6, pp. 1706–1713. [Accessed5 December 2022]. DOI 10.14393/BJ-v34n6a2018-39975. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/39975.

Issue

Section

Biological Sciences