14 results on '"Vieira, Bruno Sérgio"'
Search Results
2. Multispectral images for monitoring the physiological parameters of coffee plants under different treatments against nematodes
- Author
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Pereira, Fernando Vasconcelos, Martins, George Deroco, Vieira, Bruno Sérgio, de Assis, Gleice Aparecida, and Orlando, Vinicius Silva Werneck
- Published
- 2022
- Full Text
- View/download PDF
3. Bipolaris yamadae causes foliage blight of Digitaria insularis in Brazil.
- Author
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Alves, Juliana Fonseca, Fabbris, Cláudia, Inokuti, Eliane Mayumi, da Nobrega, Thaísa Ferreira, Barreto, Robert Weingart, and Vieira, Bruno Sérgio
- Subjects
CRABGRASS ,BIPOLARIS ,PLANT inoculation ,FUNGI ,WEEDS ,FOLIAGE plants - Abstract
During a survey of the mycobiota of sourgrass (Digitaria insularis), a graminaceous weed from Brazil, severe foliage blight symptoms were observed on plants at different places of the state of Minas Gerais. A fungus identified as Bipolaris yamadae, after a polyphasic study, including analysis of ITS, GPDH and TEF-1α genes, was isolated from diseased tissues. Pathogenicity to sourgrass was confirmed through inoculations of healthy plants. This is the first report of B. yamadae causing foliage blight on D. insularis in Brazil and worldwide. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. Using Geospatial Information to Map Yield Gain from the Use of Azospirillum brasilense in Furrow.
- Author
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Martins, George Deroco, Xavier, Laura Cristina Moura, de Oliveira, Guilherme Pereira, de Lourdes Bueno Trindade Gallo, Maria, de Abreu Júnior, Carlos Alberto Matias, Vieira, Bruno Sérgio, Marques, Douglas José, and da Silva, Filipe Vieira
- Subjects
AZOSPIRILLUM brasilense ,CROPS ,CROP yields ,GEOSPATIAL data ,STANDARD deviations ,PRECISION farming - Abstract
The application of biological products in agricultural crops has become increasingly prominent. The growth-promoting bacterium Azospirillum brasilense has been used as an alternative to promote greater yield in maize crops. In the context of precision agriculture, interpreting geospatial data has allowed for monitoring the effect of the application of products that increase the yield of corn crops. The objective of this work was to evaluate the potential of Kriging techniques and spectral models through images in estimating the gain in yield of maize crop after applying A. brasilense. Analyses were carried out in two commercial areas treated with A. brasilense. The results revealed that models of yield prediction by Kriging with a high volume of training data estimated the yield gain with a root-mean-square error deviation (RMSE%), mean absolute percentage error (MAPE%), and R
2 to be 6.67, 5.42, and 0.88, respectively. For spectral models with a low volume of training data, yield gain was estimated with RMSE%, MAPE%, and R2 to be 9.3, 7.71, and 0.80, respectively. The results demonstrate the potential to map the spatial distribution of productivity gains in corn crops following the application of A. brasilense. [ABSTRACT FROM AUTHOR]- Published
- 2023
- Full Text
- View/download PDF
5. Early Detection of Coffee Leaf Rust Caused by Hemileia vastatrix Using Multispectral Images.
- Author
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Soares, Analis da Silva, Vieira, Bruno Sérgio, Bezerra, Thalita Almeida, Martins, George Deroco, and Siquieroli, Ana Carolina Silva
- Subjects
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MULTISPECTRAL imaging , *COFFEE beans , *EARLY diagnosis , *SUPPORT vector machines , *SPECTRAL sensitivity , *COFFEE - Abstract
Conventional methodology in the field for the sampling of coffee leaf rust, caused by Hemileia vastatrix, has proven to be impractical. This paper proposes a method for the early detection of this disease, which is the most significant pathogen of coffee plants worldwide, using multispectral images acquired using a Mapir Survey3W camera and an unmanned aerial vehicle (UAV). For this purpose, 160 coffee seedlings of the coffee cultivar 'Mundo Novo' were inoculated with urediniospores of H. vastatrix and compared with 160 control (non-inoculated) seedlings to determine the most favorable interval for distinguishing healthy and infected plants. The 320 seedlings were placed on a dark surface to perform the imaging flights. In vitro analyses of the physiological parameters of 20 specimens were then performed for each condition (inoculated/non-inoculated) to obtain the hyperspectral curves, and this process was repeated three times at 15, 30, and 45 days after inoculation (DAI). Based on the simulated hyperspectral curves, a discrepancy between the red and near-infrared (NIR) bands was identified at 15 DAI, with the inoculated plants showing greater absorption in the red band and a greater spectral response in the NIR band. Thus, multispectral images were able to distinguish H. vastatrix infection in coffee seedlings at an asymptomatic stage (15 DAI) using a support vector machines (SVM) algorithm. Detection accuracy was 80% and the Kappa index of agreement was moderate (0.6). The early detection of this pathogen in the field using low-cost technology can be an important tool for the monitoring of coffee leaf rust and, consequently, a more sustainable management of the pathogen, causing farmers to make applications of chemical fungicides only when necessary. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
6. Estimating Coffee Plant Yield Based on Multispectral Images and Machine Learning Models.
- Author
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Abreu Júnior, Carlos Alberto Matias de, Martins, George Deroco, Xavier, Laura Cristina Moura, Vieira, Bruno Sérgio, Gallis, Rodrigo Bezerra de Araújo, Fraga Junior, Eusimio Felisbino, Martins, Rafaela Souza, Paes, Alice Pedro Bom, Mendonça, Rafael Cordeiro Pereira, and Lima, João Victor do Nascimento
- Subjects
MULTISPECTRAL imaging ,COFFEE ,COFFEE plantations ,MACHINE learning ,PLANT yields ,NORMALIZED difference vegetation index ,REMOTE-sensing images - Abstract
The coffee plant is one of the main crops grown in Brazil. However, strategies to estimate its yield are questionable given the characteristics of this crop; in this context, robust techniques, such as those based on machine learning, may be an alternative. Thus, the aim of the present study was to estimate the yield of a coffee crop using multispectral images and machine learning algorithms. Yield data from a same study area in 2017, 2018 and 2019, Sentinel 2 images, Random Forest (RF) algorithms, Support Vector Machine (SVM), Neural Network (NN) and Linear Regression (LR) were used. Statistical analysis was performed to assess the absolute Pearson correlation and coefficient of determination values. The Sentinel 2 satellite images proved to be favorable in estimating coffee yield. Despite the low spatial resolution in estimating agricultural variables below the canopy, the presence of specific bands such as the red edge, mid infrared and the derived vegetation indices, act as a countermeasure. The results show that the blue band and green normalized difference vegetation index (GNDVI) exhibit greater correlation with yield. The NN algorithm performed best and was capable of estimating yield with 23% RMSE, 20% MAPE and R² 0.82 using 85% of the training and 15% of the validation data of the algorithm. The NN algorithm was also more accurate (27% RMSE) in predicting yield. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
7. Biofortified mini lettuce advanced lines with resistance to root-knot nematode.
- Author
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Maciel, Gabriel Mascarenhas, Vieira, Bruno Sérgio, de Souza, Adriany Pena, Finzi, Rafael Resende, Jacinto, Ana Carolina Pires, and Beloti, Igor Forigo
- Subjects
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AZOTOBACTER , *SOUTHERN root-knot nematode , *BIOFORTIFICATION , *PLANT stems , *ROOT-knot , *BLOCK designs , *INDEX numbers (Economics) , *JAVANESE root-knot nematode - Abstract
Biofortified mini lettuce resistant to root-knot nematode with high agronomic potential is not yet a reality in Brazil. Thus, the objective of this work was to evaluate the agronomic potential of lines of biofortified mini lettuces combined with resistance to M. javanica. Therefore, two experiments were performed: 1 - agronomic performance in the field; 2-resistance to M. javanica in the greenhouse. The experiments were arranged in a randomized block design (experiment 1) and in a completely randomized design (experiment 2), with ten treatments (six advanced lines and four commercial cultivars) and eight replications, conducted at the Federal University of Uberlândia (UFU). The following parameters were evaluated in experiment 1: total chlorophyll content; plant and stem diameter; and number of leaves plant-1. In experiment 2: gall index; number of galls and eggs root-1; reproduction factor. The evaluated genotypes which presented agronomic potential were generally not resistant to M. javanica, except UFU-66#6, an advanced lineage which is innovative in the segment of biofortified mini lettuce, combining agronomic potential and resistance to M. javanica. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
8. Biological control of Pseudomonas syringae pv. garcae in coffee crop with Bacillus spp. isolates.
- Author
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e SILVA, Fabrício Júnio, VIEIRA, Bruno Sérgio, and SIQUIEROLI, Ana Carolina Silva
- Subjects
PHYSIOLOGICAL control systems ,BACILLUS (Bacteria) ,PSEUDOMONAS syringae ,SIDEROPHORES ,HYDROCYANIC acid - Abstract
Copyright of Cientifica is the property of Fundacao de Apoio a Pesquisa e Extensao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2019
- Full Text
- View/download PDF
9. Selection of rhizobacteria for pre-emergence control of wild poinsettia, horseweed and sourgrass.
- Author
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de OLIVEIRA, Cleiton Burnier, VIEIRA, Bruno Sérgio, ESPÍNDOLA, Gustavo Mendes, and CARDOSO, Carine Resende
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RHIZOBACTERIA ,POINSETTIAS ,GERMINATION ,POTTING soils ,METABOLITES - Abstract
Copyright of Cientifica is the property of Fundacao de Apoio a Pesquisa e Extensao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2019
- Full Text
- View/download PDF
10. Etiology, epidemiology, and management of white rot on onion and garlic: current knowledge and future directions for Brazil.
- Author
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LOURENÇO JR, Valdir, VIEIRA, Bruno Sérgio, LOPES, Everaldo Antônio, and VILLALTA, Oscar N.
- Subjects
WHITE rot (Onions) ,GARLIC ,AGRICULTURE ,BIOLOGICAL pest control agents ,FUNGICIDES - Abstract
Copyright of Cientifica is the property of Fundacao de Apoio a Pesquisa e Extensao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2018
- Full Text
- View/download PDF
11. Bacillus spp. isolates for the control of Meloidogyne incognita in common bean.
- Author
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FERNANDES, Rafael Henrique, LOPES, Everaldo Antônio, BONTEMPO, Amanda Ferreira, FUGA, Cícero Augusto Guimarães, and VIEIRA, Bruno Sérgio
- Subjects
BACILLUS (Bacteria) ,SOUTHERN root-knot nematode ,COMMON bean ,GREENHOUSES ,EXPERIMENTAL agriculture - Abstract
Copyright of Cientifica is the property of Fundacao de Apoio a Pesquisa e Extensao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2018
- Full Text
- View/download PDF
12. Inhibition of the mycelial growth and germination of Stromatinia cepivora by plant extracts and essential oils.
- Author
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FUGA, Cícero Augusto Guimarães, LOPES, Everaldo Antônio, VIEIRA, Bruno Sérgio, SOARES, Márcio Santos, and de Barros FERNANDES, Regina Victória
- Subjects
MYCELIUM ,GERMINATION ,ASCOMYCETES ,PLANT extracts ,ESSENTIAL oils ,ALLIUM - Abstract
Copyright of Cientifica is the property of Fundacao de Apoio a Pesquisa e Extensao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2018
- Full Text
- View/download PDF
13. Distribution of root-knot nematode on coffee production in the Cerrado region of Minas Gerais state in Brazil.
- Author
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Babilônia, Gustavo Braga, Londe, Maria Luiza Araújo, Terra, Willian César, Salgado, Sônia Maria de Lima, Vieira, Bruno Sérgio, de Oliveira, Cláudio Marcelo Gonçalves, Rosa, Juliana Magrinelli Osório, and Lopes, Everaldo Antônio
- Abstract
Brazil is the largest coffee-producing nation in the world. Over 50% of the national production comes from the Minas Gerais state, with relevant contribution of the region covered by the Cerrado biome. Given the threat posed by root-knot nematodes (RKN,
Meloidogyne spp.) to coffee production, we collected plant and soil samples from infested plantations across 16 counties and identified the species of this pathogen. Based on the female perineal patterns, male morphology, esterase phenotypes and SCAR markers, the species found wereMeloidogyne exigua ,Meloidogyne paranaensis ,Meloidogyne incognita andMeloidogyne arenaria . The most prevalent species wasM. exigua , occurring in 83.8% of the sampled sites, followed byM. paranaensis (19%) andM. incognita (4.9%). Mixed populations of RKN were observed in 7.7% of the sites, with the highest prevalence ofM. exigua +M. paranaensis andM. paranaensis +M. incognita , followed byM. exigua +M. incognita .Meloidogyne arenaria was found in one site, in a mixed population withM. paranaensis +M. exigua . Strategies to prevent the spread of these nematodes to non-infested areas are highly recommended, particularly focusing on the most aggressive species such asM. paranaensis andM. incognita . [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
14. Anaerobic soil disinfestation for the management of soilborne pathogens: A review.
- Author
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Lopes, Everaldo Antônio, Canedo, Ellen Júnia, Gomes, Vanessa Alves, Vieira, Bruno Sérgio, Parreira, Douglas Ferreira, and Neves, Wânia Santos
- Subjects
- *
SOIL management , *PHYTOPATHOGENIC microorganisms , *SOIL fumigation , *POISONS , *MICROBIAL communities , *SOIL composition - Abstract
Anaerobic soil disinfestation (ASD) is an ecological alternative to chemical soil fumigation. The method consists in incorporating easily decomposable organic materials into the soil, followed by irrigation to saturation and soil cover with impermeable plastic. Cereal brans, molasses, ethanol, and vegetable wastes are the main sources of carbon used in ASD. The soil remains covered from 3 to 10 weeks. Accumulation of toxic anaerobic decomposition products, antagonism by anaerobic organisms, lack of oxygen and the combination of all these factors are the main mechanisms of action of the technique against plant pathogens. Here, we reviewed the potential of ASD in the management of plant-pathogenic fungi, bacteria and nematodes. • Anaerobic soil disinfestation is useful for the control of soilborne pathogens. • The mode of action of this method involves the interaction between several factors. • The incubation period of anaerobic soil disinfestation ranges from 3 to 6 weeks. • The aspects that influence the efficiency of this technique are discussed. • Anaerobic soil disinfestation shifts the composition of the soil microbial community. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
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