Agronomic performance of white oats cultivated under fertigation with treated sewage effluent and definition of critical limits of Normalized Difference Vegetation Index

Coelho, Anderson Prates; Faria, Rogério Teixeira de; Barbosa, Aline Michelle da Silva; Dalri, Alexandre Barcellos; Rosalen, David Luciano

doi:10.1590/1678-4499.20190082

Cited by 2 publications

(4 citation statements)

References 29 publications

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“…The lower growth and yield of white oat in 2018, in relation to agricultural years with milder temperatures, can be compared to results by Coelho et al (2019). These authors evaluated the agronomic performance of white oat in an area close to that of the present study, with the same soil type, in a crop year with milder temperatures (2017).…”

Section: Resultsmentioning

confidence: 82%

“…Similarities in grain and biomass yield among the treatments may be justified by the low response of white oat to N fertilization in irrigated and high fertility conditions (Coelho et al 2019). In a place near the study area, Coelho et al (2019) found no significant differences for white oat biomass Nitrogen fertilization management in white oat using spectral indices yield when rates between 10 and 95 kg ha -1 of N were applied. The authors also noticed that the highest averages for grain yield were observed at a topdressing N rate of 29 kg ha -1 , hence this crop has a low response to N fertilization in high-fertility soils.…”

Section: Resultsmentioning

confidence: 88%

“…For instance, canopy spectralbased tools have been widely used, such as the normalized difference vegetation index (NDVI), which is the most well-known vegetation index. Among its other uses, NDVI may be applied as a proxy for crop nutritional status, since it is closely related to green color changes in crops (Zhao et al 2018, Coelho et al 2019.…”

Section: Manejo Da Adubação Nitrogenada Em Aveia-branca Utilizando-se íNdices Espectraismentioning

confidence: 99%

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Nitrogen fertilization management in white oat using spectral indices

Barbosa

Faria

Coelho

et al. 2020

Pesqui. Agropecu. Trop.

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Remote sensing techniques have been considered a new technology in worldwide agriculture for diagnosing the plant nutritional demand. Fertilizer management efficiency is a goal to be achieved, and modern tools based on remote sensing are promising for monitoring the crop needs. This study aimed to evaluate the agronomic performance and relative economic return of white oat under nitrogen rates, as well as to verify whether the normalized difference vegetation index (NDVI) and leaf chlorophyll index (LCI) could be used for topdressing nitrogen fertilization management, in white oat. Treatments consisted of five topdressing nitrogen fertilization strategies: T1 - 160 kg ha-1 (reference rate); T2 - 90 kg ha-1 (recommended rate); T3 - 60 kg ha-1 (economic rate); T4 - 30 kg ha-1 (when NDVI < 90 % of T1); and T5 - 30 kg ha-1 (when LCI < 90 % of T1). The white oat did not respond to the topdressing nitrogen fertilization. Its temporal monitoring using spectral indices allowed dispensing the topdressing nitrogen fertilization without reducing the grain and biomass yields and the leaf nitrogen content, when compared to the recommended management (90 kg ha-1 of N as topdressing), with no differences between the evaluated spectral indices. Thus, both the NDVI and LCI spectral indices are promising tools for the topdressing nitrogen fertilization management in the white oat crop.

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Section: Resultsmentioning

confidence: 82%

Section: Resultsmentioning

confidence: 88%

Section: Manejo Da Adubação Nitrogenada Em Aveia-branca Utilizando-se íNdices Espectraismentioning

confidence: 99%

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Nitrogen fertilization management in white oat using spectral indices

Barbosa

Faria

Coelho

et al. 2020

Pesqui. Agropecu. Trop.

Self Cite

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“…The GreenSeeker ® , an active spectral sensor, is an instrument that provides the normalized difference vegetation index (NDVI) via reflectance measurements, this sensor automatically generates NDVI readings from the spectral response of the red bands (650 nm) and nera-infrared (770 nm) (COELHO et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Estimation of the Optimum Size of Plots for Soybean Radiometer Experiments

et al. 2021

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The lack of error of experimental planning in agricultural field studies can result in rework, causing the waste of financial resources. The determination of the optimal size of the experimental plot for carrying out the treatments can minimize these problems. The objective of this paper was to estimate the optimal plot size for measuring reflectance in soybeans, without treatment, using the modified maximum curvature method and the maximum distance method. Reflectance readings were taken in the soybean crop with the aid of the GreenSeeker® equipment, in basic experimental units of 0.45 m², in an area of 7 lines and 8 meters in length. The data were collected in three phenological stages of soy (R4, R5.5 and R6), obtaining 63 simulations of experimental area in each stage. Based on the results, it is recommended to use plots of 7.20 m², with grouping of 4 lines of 4 m in length.

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Agronomic performance of white oats cultivated under fertigation with treated sewage effluent and definition of critical limits of Normalized Difference Vegetation Index

Cited by 2 publications

References 29 publications

Nitrogen fertilization management in white oat using spectral indices

Nitrogen fertilization management in white oat using spectral indices

Estimation of the Optimum Size of Plots for Soybean Radiometer Experiments

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