Estimation of optimal size of plots for experiments with radiometer in beans

Michels, Roger Nabeyama; Canteri, MG; Fonseca, Inês Cristina de Batista; Silva, MAdA; França, J de

doi:10.5897/ajb2014.13984

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…The three central lines and 4 linear meters were considered as the useful area for the application of the treatments and gathering of data. Two external lines and 1 meter of the extremities of the parcel were used as borders (Michels et al, 2015). The gradient of intensity of the rust was generated by means of the variation of application of the fungicide along the calendar (Table 1).…”

Section: Methodsmentioning

confidence: 99%

Reflectance as a decision-making tool for the application of fungicide to the Asian Soybean Rust

Michels¹,

Canteri²,

Silva³

et al. 2018

Rev. Ciênc. Agr.

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The objective of this study was to evaluate the application of GreenSeeker® (radiometer) the ideal time of application of fungicide on soybeans and the relationship between NDVI (Normalized Difference Vegetation Index) and productivity. Two experiments were conducted at the Universidade Estadual de Londrina (2012/2013 and 2013/2014 crops), both with experimental design of random blocks (6x4). The treatments aimed at obtaining a disease gradient (Asian soybean rust) by means of different numbers and times of application of fungicide. The quantification of the severity of the disease was made through the diagram scale and the readings of NDVI. Were analyzed the total mass, the 1.000 grains mass, the humidity, and productivity in kg ha-1. A decrease in productivity was observed in connection with the delay in the application of the fungicide and the same happened in the area below the NDVI curve. At the same time when a statistical difference between the treatments of the severity was observed there was also a significant statistical difference (P<0.05) between the values of NDVI. The NDVI contributes to decision making about the best moment for the application of fungicide in the culture of soy for the control of Asian rust and presents regular results for the estimation of productivity.

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Section: Methodsmentioning

confidence: 99%

Reflectance as a decision-making tool for the application of fungicide to the Asian Soybean Rust

Michels¹,

Canteri²,

Silva³

et al. 2018

Rev. Ciênc. Agr.

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The ideal frequency of temperature data collection in compostability experiments on domestic organic residues

Bosco

Michels

Bertozzi

et al. 2018

Environmental Technology

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One of the main analytical variable to indicate the evolution and the phases of the composting process is temperature, whose constant monitoring is fundamental for decision making. However, studies usually perform collection of temperature data with a daily frequency due to the operational difficulty in obtaining this information from manually collected samples. Thus, the aim of this study was to determine the ideal frequency of temperature data collection in composting layers. Eight composting layers containing tree prunings + domestic organic residues were installed and four temperature sensors were installed in each layer. The temperature data were collected and recorded from minute to minute by means of a datalogger developed with an Arduino board during 70 days of composting. Thus, the collected temperatures were used as a pilot sample, and therefore the ideal temperature collection rate was estimated for different estimation error limits. No significant difference was found between the different collection times according to the Kruskal-Wallis test at a significance level of 5%. Therefore, the ideal collection frequency can be determined from the error limit of temperature estimation that is acceptable to the researcher.

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Estimating optimum plot size with radiometer for experiments on soybeans treated with fungicide

et al. 2020

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Spectral remote sensing and proximal sensors are important tools for managing the plant-pathogen relationship. The lack of experimental planning and the probability of error in agricultural studies may result in work repetition and, consequently, in financial expenses and costs with human resources. To reduce such problems, determining the optimum size of the experimental plot for treatments is one of the adopted methods. The objective of this study was to estimate the optimum plot size for reflectance in soybeans that were treated with different fungicide levels according to the methods of modified maximum curvature and maximum distance. Reflectance readings were carried out for the soybean crop with a radiometer GreenSeeker®, considering basic units of 0.45 m² in an area of ten rows, 10 m long, for each treatment. Treatments were applied to create a gradient of Asian soybean rust, varying the number of fungicide applications. Data were collected in two phenological stages (R5.5 and R6), obtaining 300 simulations of experimental area for each stage. Based on the results, the use of 5.40 m² plots with a group of three rows, 4 m long, is recommended.

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Estimation of optimal size of plots for experiments with radiometer in beans

Cited by 3 publications

References 16 publications

Reflectance as a decision-making tool for the application of fungicide to the Asian Soybean Rust

Reflectance as a decision-making tool for the application of fungicide to the Asian Soybean Rust

The ideal frequency of temperature data collection in compostability experiments on domestic organic residues

Estimating optimum plot size with radiometer for experiments on soybeans treated with fungicide

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