Arthur Vieira Ribeiro

Dr. Arthur Vieira Ribeiro

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2018 in Crop Protection
Verified
Journal Article
Closed access
ARArthur Vieira Ribeiro
Arthur Vieira Ribeiro
EFElizeu de Sá Farias
Elizeu de Sá Farias
ASAbraão Almeida Santos
Abraão Almeida Santos
CFClaudinei Andrade Filomeno
Claudinei Andrade Filomeno
ISIzailda Barbosa dos Santos
Izailda Barbosa dos Santos
MPMarcelo Coutinho Picanço
Marcelo Coutinho Picanço

1 August 2020 in Crop Protection
Verified
Journal Article
Closed access
EFElizeu Farias
Elizeu Farias
ASAbraão Almeida Santos
Abraão Almeida Santos
ARArthur Vieira Ribeiro
Arthur Vieira Ribeiro
DCDaiane das Graças do Carmo
Daiane das Graças do Carmo
JPJhersyka S. Paes
Jhersyka S. Paes
MPMarcelo C. Picanço
Marcelo C. Picanço

26 April 2019 in Journal of Economic Entomology
Verified
Journal Article
Closed access
PDF file
MLMayara Lopes
Mayara Lopes
ARArthur Vieira Ribeiro
Arthur Vieira Ribeiro
TCThiago Costa
Thiago Costa
LALucas de P Arcanjo
Lucas de P Arcanjo
EFElizeu Farias
Elizeu Farias
MPMarcelo C Picanço
Marcelo C Picanço
The pea leafminer, Liriomyza huidobrensis (Blanchard), is an important pest of tomato crops worldwide. Conventional sampling plans are the starting point for the development of pest control decision-making. The present study aimed to develop a conventional sampling plan for L. huidobrensis during the vegetative and reproductive stages of tomato (Solanum Lycopersicum L.). The best sampling unit for vegetative and reproductive stages of tomato crops was determined. The frequency distributions of L. huidobrensis densities in tomato crops were assessed, and the ideal number of samples to constitute the sampling plan was determined. The basal leaf of the middle section of the plant canopy was the best plant part for sampling. Pea leafminer densities were fitted to the negative binomial distribution with a common aggregation parameter (Kcommon = 0.7289) that represents all tomato fields. The sampling plan consists of 73 samples per field, irrespective of field size (1, 5, or 10 ha). Evaluations using this sampling plan were performed in 47 min, 1 h 9 min, and 1 h 25 min at a cost of US$1.74, US$2.54, and US$3.12 per sampling in fields of 1, 5, and 10 ha, respectively. The sampling plan developed in this study may lead to more well-informed decision-making for controlling L. huidobrensis in tomato fields up to 10 ha. Additionally, it is inexpensive (up to US$3.12 per sampling area), fast (up to 1 h 25 min per sampling area), and practical (it can be used in tomato crops at the vegetative and reproductive stages).

1 February 2019 in Industrial Crops and Products
Verified
Journal Article
Closed access
SGShaiene M. Gouvêa
Shaiene M. Gouvêa
GCGeraldo A. Carvalho
Geraldo A. Carvalho
EFElisangela G. Fidelis
Elisangela G. Fidelis
ARArthur Vieira Ribeiro
Arthur Vieira Ribeiro
EFElizeu Farias
Elizeu Farias
MPMarcelo C. Picanço
Marcelo C. Picanço

1 April 2019 in Florida Entomologist
Verified
Journal Article
Open access
PDF file
RMRuan Victor Borges Tavares de Macêdo
Ruan Victor Borges Tavares de Macêdo
Renato Almeida SarmentoRenato Almeida Sarmento
Renato Almeida Sarmento
PPPoliana Silvestre Pereira
Poliana Silvestre Pereira
CLCarlos Henrique Oliveira Lima
Carlos Henrique Oliveira Lima
TDTânia Lígia Lopes Barbosa de Deus
Tânia Lígia Lopes Barbosa de Deus
MPMarcelo Coutinho Picanço
Marcelo Coutinho Picanço
Melon (Cucumis melo L.; Cucurbitaceae) is one of the 10 most-consumed fruits in the world. The whitefly Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) is one of the most important pests in melon crops worldwide. Conventional sampling plans are the starting point to establish decisionmaking systems for integrated pest management (IPM) programs. The purpose of this study was to determine a conventional sampling plan for B. tabaci in melon crops with plants at the vegetative, flowering, and fruiting stages. The best sampling units for B. tabaci were the 5th and 6th most apical leaves of the plant vine. The best sampling technique was direct counting of adult whiteflies. The most appropriate frequency distribution to describe B. tabaci densities in melon fields was the negative binomial. Whiteflies on melon fields with plants at different phenological stages showed a common aggregation parameter (Kcommon = 0.9134). The optimal number of samples from the sampling plan was 72 samples per field with a maximum error of 15% in population determination. The sampling plan determined by this study can be used by farmers because it is a low-cost (US$5.27 per sampling), fast (39 minutes per sampling) and feasible (15% maximum evaluation error). The same sampling plan can be used with melon plants at the vegetative, flowering, and fruiting stages.

1 July 2017 in Revista Colombiana de Entomología
Verified
Journal Article
Open access
ARArthur Vieira Ribeiro
Arthur Vieira Ribeiro
CLCarlos Eduardo Almeida Luz
Carlos Eduardo Almeida Luz
CBCristina Schetino Bastos
Cristina Schetino Bastos
YKYann Schmidt Teichmann Krieger
Yann Schmidt Teichmann Krieger
NSNathalia Henriques Da Silva
Nathalia Henriques Da Silva
WSWeslley Brandão Da Silva
Weslley Brandão Da Silva
Maize is attacked by various pest species, including the key-pest of stored maize, Sitophilus zeamais (Coleoptera: Curculionidae). This study determined the LC50 and LD50 of neem-based insecticides (AzaMax® and Natuneem®) in comparison to a synthetic pyrethroid insecticide (Decis® 25 CE) to S. zeamais . The bioassays consisted of insects’ exposure alone (topical application with microsyringe) and exposure of both insects and seeds treated simultaneously. The final bioassays used four to six concentrations of each formulation per bioassay, diluted in distilled water. The bioassays were run with the use of 10 non-sexed adults of S. zeamais per replication and mortality was assessed after 48 h of exposure. The data regarding concentration and dose-mortality were analyzed by probit analysis. Both LC50 and LD50 were used to calculate LCR and LDR's and their respective confidence interval (CI). After using topical application, the bioassays yielded LD50-values of 51.32, 76.76 and 42.75 µL of AzaMax, Natuneem and Decis/g of insects, respectively. The bioassays with simultaneous exposure of both insects and seeds yielded LC50-values of 4.01, 4.46 and 0.41 µL of AzaMax, Natuneem and Decis/g of seeds, respectively. Regarding the fact that there were no significant differences between the LC50-values of the botanical insecticides, both of them can be used to manage S. zeamais infesting stored corn. The cost to treat maize and to obtain effective control of S. zeamais is cheapest for Decis<Natuneem<Āzamax. The LC50-values found in our study would be equivalent to use 8.02, 8.92 and 0.82 L of AzaMax, Natuneem and Decis/ton of seeds.