A critical-point yield model to appraise the damage caused to soybean by white-mold

Detalhes bibliográficos
Autor(a) principal: Reis, Erlei M.
Data de Publicação: 2020
Outros Autores: Zanatta, Mateus, Juliatti, Fernando Cezar, Campos, Hercules D., Silva, Luis Henrique Carregal P., Meyer, Maurício C., Nunes Junior, José, Pimenta, Cláudia B., Cassetari Neto, Daniel, Machado, Andréia Q., Utiamada, Carlos M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/55438
Resumo: A model to estimate the damage caused by white mold to soybean yield from experimental field data gathered during the summer season of 2009-10 was generated. Six soybean cultivars were grown on six sites of the Cerrados region, resulting in a total of nine separate experiments. The gradient of disease intensity (plant stem incidence) and yield was generated through the application of different fungicides and rates three times over the course of the season. The disease incidence in plant stems was evaluated at the R1, R5.2 and R5.5 growing stages. Manual harvest at the physiological ripening stage was followed by grain drying, threshing, and cleaning. Finally, grain yield was estimated in kg/ha, and regression analysis was performed. Nine linear equations representing the damage function were generated. The mean damage function was y = - 6.7 x + 1,000, where y represents grain yield normalized to 1,000 kg/ha and x represents WM incidence in plants. To appraise the damage caused by various disease intensities, these models should first be validated. Damage coefficients may be used to determine the level of economic damage.
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spelling A critical-point yield model to appraise the damage caused to soybean by white-moldModelo de ponto crítico para estimar os danos causados pelo mofo-branco em sojaGlycine max.Sclerotinia sclerotiorumSclerotinia stem rot.FitopatologiaEsclerociniose.Glycine max.Podridão de esclerocímia.Sclerotinia sclerotiorum.A model to estimate the damage caused by white mold to soybean yield from experimental field data gathered during the summer season of 2009-10 was generated. Six soybean cultivars were grown on six sites of the Cerrados region, resulting in a total of nine separate experiments. The gradient of disease intensity (plant stem incidence) and yield was generated through the application of different fungicides and rates three times over the course of the season. The disease incidence in plant stems was evaluated at the R1, R5.2 and R5.5 growing stages. Manual harvest at the physiological ripening stage was followed by grain drying, threshing, and cleaning. Finally, grain yield was estimated in kg/ha, and regression analysis was performed. Nine linear equations representing the damage function were generated. The mean damage function was y = - 6.7 x + 1,000, where y represents grain yield normalized to 1,000 kg/ha and x represents WM incidence in plants. To appraise the damage caused by various disease intensities, these models should first be validated. Damage coefficients may be used to determine the level of economic damage.Desenvolveu-se um modelo para estimar os danos causados pelo mofo-branco (MB) (Sclerotinia sclerotiorum) na cultura da soja, com dados gerados em experimentos de campo conduzidos na safra de soja de 2009/10.  Seis cultivares de soja foram cultivados em seis locais perfazendo um total de nove experimentos em distintas regiões edafoclimáticas na região do Cerrado. O gradiente da intensidade da doença, avaliada em função de incidência de sintomas/sinais em hastes, foi gerado pela aplicação de diferentes fungicidas em momentos e doses distintas. A intensidade da doença foi avaliada, nos estádios fenológicos de R1, R5.2 e R5.5. A colheita foi realizada na maturação fisiológica e o rendimento de grãos expresso em kg/ha. As análises de regressão entre o rendimento de grãos e a incidência da doença foram realizadas para todas as combinações obtidas e geraram nove equações lineares da função de dano. Função de dano média de nove experimentos foi R = 1.000 - 6,7 I (onde R = rendimento de grãos normalizado para 1.000 kg/ha e I incidênciaa do MB em plantas). Para estimar o dano causado por intensidades diferentes da doença, esses modelos devem ser previamente validado. Os coeficientes de dano podem ser usados ​​para determinar o limiar de dano econômico.EDUFU2020-08-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/5543810.14393/BJ-v36n6a2020-55438Bioscience Journal ; Vol. 36 No. 6 (2020): Nov./Dec.; 1816-1820Bioscience Journal ; v. 36 n. 6 (2020): Nov./Dec.; 1816-18201981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/55438/30369Brazil; Contemporary Copyright (c) 2020 Erlei M. Reis, Mateus Zanatta, Fernando Cezar Juliatti, Hercules D. Campos, Luis Henrique Carregal P. Silva, Maurício C. Meyer, José Nunes Junior, Cláudia B. Pimenta, Daniel Cassetari Neto, Andréia Q. Machado, Carlos M. Utiamadahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessReis, Erlei M. Zanatta, Mateus Juliatti, Fernando Cezar Campos, Hercules D. Silva, Luis Henrique Carregal P. Meyer, Maurício C. Nunes Junior, José Pimenta, Cláudia B. Cassetari Neto, Daniel Machado, Andréia Q. Utiamada, Carlos M. 2022-05-26T18:20:14Zoai:ojs.www.seer.ufu.br:article/55438Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-05-26T18:20:14Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv A critical-point yield model to appraise the damage caused to soybean by white-mold
Modelo de ponto crítico para estimar os danos causados pelo mofo-branco em soja
title A critical-point yield model to appraise the damage caused to soybean by white-mold
spellingShingle A critical-point yield model to appraise the damage caused to soybean by white-mold
Reis, Erlei M.
Glycine max.
Sclerotinia sclerotiorum
Sclerotinia stem rot.
Fitopatologia
Esclerociniose.
Glycine max.
Podridão de esclerocímia.
Sclerotinia sclerotiorum.
title_short A critical-point yield model to appraise the damage caused to soybean by white-mold
title_full A critical-point yield model to appraise the damage caused to soybean by white-mold
title_fullStr A critical-point yield model to appraise the damage caused to soybean by white-mold
title_full_unstemmed A critical-point yield model to appraise the damage caused to soybean by white-mold
title_sort A critical-point yield model to appraise the damage caused to soybean by white-mold
author Reis, Erlei M.
author_facet Reis, Erlei M.
Zanatta, Mateus
Juliatti, Fernando Cezar
Campos, Hercules D.
Silva, Luis Henrique Carregal P.
Meyer, Maurício C.
Nunes Junior, José
Pimenta, Cláudia B.
Cassetari Neto, Daniel
Machado, Andréia Q.
Utiamada, Carlos M.
author_role author
author2 Zanatta, Mateus
Juliatti, Fernando Cezar
Campos, Hercules D.
Silva, Luis Henrique Carregal P.
Meyer, Maurício C.
Nunes Junior, José
Pimenta, Cláudia B.
Cassetari Neto, Daniel
Machado, Andréia Q.
Utiamada, Carlos M.
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Reis, Erlei M.
Zanatta, Mateus
Juliatti, Fernando Cezar
Campos, Hercules D.
Silva, Luis Henrique Carregal P.
Meyer, Maurício C.
Nunes Junior, José
Pimenta, Cláudia B.
Cassetari Neto, Daniel
Machado, Andréia Q.
Utiamada, Carlos M.
dc.subject.por.fl_str_mv Glycine max.
Sclerotinia sclerotiorum
Sclerotinia stem rot.
Fitopatologia
Esclerociniose.
Glycine max.
Podridão de esclerocímia.
Sclerotinia sclerotiorum.
topic Glycine max.
Sclerotinia sclerotiorum
Sclerotinia stem rot.
Fitopatologia
Esclerociniose.
Glycine max.
Podridão de esclerocímia.
Sclerotinia sclerotiorum.
description A model to estimate the damage caused by white mold to soybean yield from experimental field data gathered during the summer season of 2009-10 was generated. Six soybean cultivars were grown on six sites of the Cerrados region, resulting in a total of nine separate experiments. The gradient of disease intensity (plant stem incidence) and yield was generated through the application of different fungicides and rates three times over the course of the season. The disease incidence in plant stems was evaluated at the R1, R5.2 and R5.5 growing stages. Manual harvest at the physiological ripening stage was followed by grain drying, threshing, and cleaning. Finally, grain yield was estimated in kg/ha, and regression analysis was performed. Nine linear equations representing the damage function were generated. The mean damage function was y = - 6.7 x + 1,000, where y represents grain yield normalized to 1,000 kg/ha and x represents WM incidence in plants. To appraise the damage caused by various disease intensities, these models should first be validated. Damage coefficients may be used to determine the level of economic damage.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/55438
10.14393/BJ-v36n6a2020-55438
url https://seer.ufu.br/index.php/biosciencejournal/article/view/55438
identifier_str_mv 10.14393/BJ-v36n6a2020-55438
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/55438/30369
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 36 No. 6 (2020): Nov./Dec.; 1816-1820
Bioscience Journal ; v. 36 n. 6 (2020): Nov./Dec.; 1816-1820
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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