C. V. Godoy

Brazilian Agricultural Research Corporation

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M. C. Meyer

Brazilian Agricultural Research Corporation

C. M. Utiamada

Instituto Agronômico do Paraná

H. D. Campos

Universidade de Rio Verde

J. Nunes

Universidade Federal do Amazonas

C. B. Pimenta

Universidade Federal de Mato Grosso

V. J. Carlin

AgroBio

F. V. Siqueri

Fundação de Amparo à Pesquisa do Estado de Mato Grosso

Marcelo Giovanetti Canteri

Universidade Estadual de Londrina

L. N. Sato

E. P. Borges

Universidade Estadual Paulista (Unesp)

Cooperative Institutions

Brazilian Agricultural Research Corporation

Universidade de São Paulo

Universidade Federal de Viçosa

Universidade Estadual de Londrina

Universidade Estadual Paulista (Unesp)

Universidade Federal de Lavras

Universidade Federal do Paraná

Agricultural Research Service

National Council for Scientific and Technological Development

Universidade de Brasília

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Eficiência de fungicidas para o controle da mancha-alvo, Corynespora cassiicola, na cultura da soja, na safra 2020/2021: resultados sumarizados dos ensaios cooperativos.

C. V. Godoy C. M. Utiamada M. C. Meyer H. D. Campos Ivani de Oliveira Negrão Lopes

Corynespora cassiicola

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Caracterização da diversidade da população patogênica de Phytophthora sojae do Brasil.

L. M. Costamilan C. C. Clebsch C. D. S. Seixas R. M. Soares C. V. Godoy

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Development and validation of a new standard area diagram set to estimate severity of soybean rust.

Vinícius Tadeu Franceschi Sérgio Miguel Mazaro Henrique da Silva Silveira Duarte C. V. Godoy

Phakopsora pachyrhizi

Soybean rust

Rust (programming language)

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Eficiência de fungicidas multissítios no controle da ferrugem-asiática da soja, Phakopsora pachyrhizi , na safra 2015/16: resultados sumarizados dos ensaios cooperativos.

C. V. Godoy C. M. Utiamada M. C. Meyer H. D. Campos Carlos Alberto Forcelini

Phakopsora pachyrhizi

Soybean rust

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Heterogeneidade da relação entre produtividade da soja e severidade da ferrugem asiática: uma análise exploratória.

A. de H. N. Maia Emerson M. Del Ponte C. V. Godoy

This work aimed to conduct an exploratory, prior to meta-analysis, assessment of the heterogeneity of the linear relationship between soybean yield (Y) and the severity (X) of a foliar fungal disease (soybean rust) from 144 fungicide trials conducted in five years and 45 locations in Brazil. We used graphical analysis to explore the within- and between-trial variability of model parameter estimates (effect sizes) and summary measures for model goodness-of-fit and influence analysis. In the estimation of the weighted mean regression coefficients, following the metaanalysis concept, we propose a method that takes into account the magnitude of influence measures as well as the uncertainties of parameters estimates, usually the inverse of the standard error of for the parameter estimate. High between-trial heterogeneity was observed for parameter estimates, standard errors (within trial variability), determination coefficient and influence measures. Graphical analysis suggested influence of timing of disease onset and control yield class on model slope, which will be quantified further using a meta-analytical approach.

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Sensitivity monitoring of Phakopsora pachyrhizi populations to triazoles in Brazil.

Lucimara Junko Koga Ivani de Oliveira Negrão Lopes C. V. Godoy

Asian soybean rust (ASR) reported in 2001 in South America spread to Brazilian producing areas and is considered one of the main diseases of the crop. Fungicides used for the control belong to QoI (strobilurins) and SBI (azole) compounds. A weaker efficacy of straight azole was observed at some regions in the end of the crop season 2006/2007. To determine whether the problem observed was due to the resistance, a sensitivity monitoring test was carried out in 2008/2009 to detect possible changes in the EC50 values of the fungus population. The test was done according to FRAC methodology. Leaves samples infected with Phakopsora pachyrhizi were sent from nine Brazilian states, in a total of 36 populations, and the spores collected were inoculated in detached leaves treated with fungicides. The triazoles tested were cyproconazole, metconazole, tebuconazole, and prothioconazole (0; 0.125; 0.25; 0.5; 1.0; 2.0; 4.0; 8.0; 16.0; 32.0 ppm). Disease severity was evaluated 15 days after inoculation. The EC50 values were estimated by Proc Probit, SAS®. Differences in EC50 values among the populations were statistically significant (P < 0.01). The EC50 for cyproconazole and metconazole ranged from 0.06 to 1.37 ppm and from 0.02 to 3.89 ppm, respectively. For tebuconazole, EC50 ranged from 0.02 to 1.28 ppm. For prothioconazole, there wasn?t a distribution of EC50 values because, with 0.25 ppm, the populations tested didn?t develop symptoms of ASR. The results showed an oscillation of EC50 values in the P. pachyrhizi population from different locations during the crop season.

Tebuconazole

Phakopsora pachyrhizi

EC50

Soybean rust

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Eficiência de fungicidas para o controle da ferrugem-asiática da soja, Phakopsora pachyrhizi, na safra 2013/14: resultados sumarizados dos ensaios cooperativos.

C. V. Godoy C. M. Utiamada M. C. Meyer H. D. Campos C. B. Pimenta

Phakopsora pachyrhizi

Soybean rust

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Avaliação da reação de acessos de espécies de estilosantes a Phakopsora pachyrhizi.

C. V. Godoy C. de F. Fernandes A. M. Flausino Thamiris Bandoni Pereira

Phakopsora pachyrhizi

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Mycelial compatibility and aggressiveness of Sclerotinia sclerotiorum isolates from Brazil and the United States

Pesquisa Agropecuária Brasileira (2014)

Lucimara Junko Koga C. R. Bowen C. V. Godoy M. C. N. de Oliveira G. L. Hartman

The objective of this work was to evaluate the genetic diversity among Sclerotinia sclerotiorum isolates from Brazil and the USA, assess their aggressiveness variability, and verify the existence of an isolate-cultivar interaction. Isolate variability was determined by mycelial compatibility grouping (MCG), and isolate aggressiveness by cut-stem inoculations of soybean cultivars. Two experiments for MCGs and two for aggressiveness were conducted with two sets of isolates. The first set included nine isolates from the same soybean field in Brazil and nine from the Midwest region of the USA. The second set included 16 isolates from several regions of Brazil and one from the USA. In the first set, 18 isolates formed 12 different MCGs. In the second set, 81% of the isolates from Brazil grouped into a single MCG. No common MCGs were observed among isolates from Brazil and the USA. The isolates showed aggressiveness differences in the first set, but not in the second. Although aggressiveness differed in the first set, soybean cultivars and isolates did not interact significantly. Cultivar rank remained the same, regardless of the genetic diversity, aggressiveness difference, and region or country of origin of the isolate. Results from screening of soybean cultivars, performed by the cut-stem method in the USA, can be used as reference for researchers in Brazil.

Sclerotinia Sclerotiorum

Stem rot

Sclerotinia

10.1590/s0100-204x2014000400004

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Asian soybean rust in Brazil: past, present, and future

Pesquisa Agropecuária Brasileira (2016)

C. V. Godoy C. D. S. Seixas R. M. Soares Franscismar Correa Marcelino-Guimarães M. C. Meyer

Abstract: Asian soybean rust, caused by the fungus Phakopsora pachyrhizi, is the most severe disease of the crop and can cause yield losses of up to 90%. The disease was first reported in Brazil in 2001. Epidemics of the disease are common in the country, where the fungus can survive year-round. Regulatory measures to reduce the inoculum between seasons and avoid late-season soybean have been adopted to manage the disease. Disease control has relied mainly on chemical control, but a lower sensibility of the fungus to fungicides has been reported in Brazil. Major-resistance genes have been mapped and incorporated into the cultivars. With the reduced efficacy of the fungicides, the adoption of integrated measures to control the disease will be important for the sustainability of the crop. This review presents the main changes in the soybean crop system caused by the introduction of the fungus in Brazil, the current management strategies adopted to avoid losses, and the new trends that, together with biotechnological strategies, can improve management in the future.

Phakopsora pachyrhizi

Soybean rust

Rust (programming language)

Disease management

Disease Control

10.1590/s0100-204x2016000500002

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Citations (190)