A critical-point yield model to appraise the damage caused to soybean by white-mold
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , |
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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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|| |
_version_ |
1797069082911047680 |