Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodão

Detalhes bibliográficos
Autor(a) principal: Santos, Maicon Sérgio Nascimento dos
Data de Publicação: 2024
Tipo de documento: Tese
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
dARK ID: ark:/26339/001300000xvhz
Texto Completo: http://repositorio.ufsm.br/handle/1/31868
Resumo: The occurrence of insect pests in crops of high economic value directly affects the yield of plants and grains. This scenario led to the mass investigation of chemical products that overcome these adversities and provide control potential. Nonetheless, over the years, there has been an intense exploration of this type of strategy, resulting in high production costs, generation of waste harmful to the environment, and resistance of target insects. The adoption of alternative practices, such as the formulation and production of products of microbial origin, emerges as an encouraging tool compared to control alternatives, indicating a sustainability bias, and allowing a reduction in the risks of human and animal contamination. The objective of this study was to perform a search for microorganisms with bioinsecticide effects, through bioscreening, for the management of insect pests in soybean and cotton crops. Initially, dead insects were collected in production areas where invasive species control was not performed. Subsequently, the samples obtained were superficially sterilized with 70% ethanol, 0.5% NaOCl solution, and sterilized water in three consecutive washes, for 3 minutes each. Immediately, the insects were placed in Petri dishes with 25 mL of Potato Dextrose Agar (BDA) solution to check whether or not there was microbial growth. Furthermore, the Petri dishes were placed in an incubator at 25 ºC for one week. Subsequently, the isolated microorganisms were subjected to the submerged fermentation process, at 28 ºC and 120 rotations per minute (rpm), for seven days. The fermented product was filtered using a vacuum pump and subjected to successive centrifuges at 3,200 x g for 10 minutes. The biological broths were applied to insect pests to test potential toxicity. The insect pests used as a reference for control were: Euschistus heros (neotropical brown stink bug), Anticarsia gemmatalis (soybean caterpillar), Helicoverpa armigera (old world bollworm), Chrysodeixis includens (soybean looper caterpillar), Spodoptera frugiperda (caterpillar-cartridge), Spodoptera eridania (Southern armyworm), Helicoverpa zea (corn earworm), Spodoptera cosmioides (black armyworm), and Elasmopalpus lignosellus (lesser cornstalk borer). A total of 163 microorganisms were obtained from the bioscreening strategy. A total of 50 microorganisms were- pre-selected based on mortality rates (%) of insect pests. Afterwards, the best results for each insect pest species were obtained through a two-parameter log-logistic model with binomial distribution, based on mortality data. Based on the model and a previous classification at the genus level, eight potential microorganisms were obtained, five of which were classified as fungi (FT4.1.1, A6.1, OL1, C7, and MI5) and three as bacteria (BR7, P1, and BR3.2). Furthermore, dilutions of the fermented broths of each microorganism were conducted (n ×10-5, n ×10-6, n ×10-7, and n ×10-8 spores mL-1). Mortality was maximum (100%) for H. zea and E. heros. Other encouraging results were indicated in the control of A. gemmatalis and C. includens (up to 87.5%) and E. lignosellus (up to approximately 83.5%). For H. armigera, mortality reached 75%. Fungal isolate A6.1 was identified based on the ITS sequence as Talaromyces piceae. The fungi C7, CL1, and M15 were also identified as T. piceae, but based on the sequence of the 28S ribosomal gene. Similarly, isolate FT4.1.14 was identified as T. piceae based on the beta-tubulin gene sequence. Among the bacteria, based on sequencing of the 16S ribosomal gene, isolate BR3.2 was identified as Lysinibacillus fusiformis, isolate BR7 as Paenibacillus ottowii, and isolate P1 as Clostridium sphenoides. It was considered that the results obtained were relevant to the scientific community as they are part of a line of research at the frontier of knowledge and, especially, are interesting for companies that are operating in this field in the agricultural scenario.
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spelling Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodãoProspection of microorganisms for the control of insect pests in soybean and cotton cropsAgentes microbianosBiopesticidasManejo de insetos-pragaMicrorganismos de ação inseticidaMicrobial agentsBiopesticidesInsect pest managementInsecticidal microorganismsCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLAThe occurrence of insect pests in crops of high economic value directly affects the yield of plants and grains. This scenario led to the mass investigation of chemical products that overcome these adversities and provide control potential. Nonetheless, over the years, there has been an intense exploration of this type of strategy, resulting in high production costs, generation of waste harmful to the environment, and resistance of target insects. The adoption of alternative practices, such as the formulation and production of products of microbial origin, emerges as an encouraging tool compared to control alternatives, indicating a sustainability bias, and allowing a reduction in the risks of human and animal contamination. The objective of this study was to perform a search for microorganisms with bioinsecticide effects, through bioscreening, for the management of insect pests in soybean and cotton crops. Initially, dead insects were collected in production areas where invasive species control was not performed. Subsequently, the samples obtained were superficially sterilized with 70% ethanol, 0.5% NaOCl solution, and sterilized water in three consecutive washes, for 3 minutes each. Immediately, the insects were placed in Petri dishes with 25 mL of Potato Dextrose Agar (BDA) solution to check whether or not there was microbial growth. Furthermore, the Petri dishes were placed in an incubator at 25 ºC for one week. Subsequently, the isolated microorganisms were subjected to the submerged fermentation process, at 28 ºC and 120 rotations per minute (rpm), for seven days. The fermented product was filtered using a vacuum pump and subjected to successive centrifuges at 3,200 x g for 10 minutes. The biological broths were applied to insect pests to test potential toxicity. The insect pests used as a reference for control were: Euschistus heros (neotropical brown stink bug), Anticarsia gemmatalis (soybean caterpillar), Helicoverpa armigera (old world bollworm), Chrysodeixis includens (soybean looper caterpillar), Spodoptera frugiperda (caterpillar-cartridge), Spodoptera eridania (Southern armyworm), Helicoverpa zea (corn earworm), Spodoptera cosmioides (black armyworm), and Elasmopalpus lignosellus (lesser cornstalk borer). A total of 163 microorganisms were obtained from the bioscreening strategy. A total of 50 microorganisms were- pre-selected based on mortality rates (%) of insect pests. Afterwards, the best results for each insect pest species were obtained through a two-parameter log-logistic model with binomial distribution, based on mortality data. Based on the model and a previous classification at the genus level, eight potential microorganisms were obtained, five of which were classified as fungi (FT4.1.1, A6.1, OL1, C7, and MI5) and three as bacteria (BR7, P1, and BR3.2). Furthermore, dilutions of the fermented broths of each microorganism were conducted (n ×10-5, n ×10-6, n ×10-7, and n ×10-8 spores mL-1). Mortality was maximum (100%) for H. zea and E. heros. Other encouraging results were indicated in the control of A. gemmatalis and C. includens (up to 87.5%) and E. lignosellus (up to approximately 83.5%). For H. armigera, mortality reached 75%. Fungal isolate A6.1 was identified based on the ITS sequence as Talaromyces piceae. The fungi C7, CL1, and M15 were also identified as T. piceae, but based on the sequence of the 28S ribosomal gene. Similarly, isolate FT4.1.14 was identified as T. piceae based on the beta-tubulin gene sequence. Among the bacteria, based on sequencing of the 16S ribosomal gene, isolate BR3.2 was identified as Lysinibacillus fusiformis, isolate BR7 as Paenibacillus ottowii, and isolate P1 as Clostridium sphenoides. It was considered that the results obtained were relevant to the scientific community as they are part of a line of research at the frontier of knowledge and, especially, are interesting for companies that are operating in this field in the agricultural scenario.Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqA ocorrência de insetos-praga em culturas de alto valor econômico afeta diretamente o as plantas e o rendimento de grãos. Este cenário conduziu à investigação em massa de produtos químicos que contornem estas adversidades e protejam o potencial de controle. Entretanto, ao longo dos anos, constatou-se uma exploração intensa deste tipo de estratégia, ocasionando em altos custos de produção, geração de resíduos prejudiciais ao meio ambiente e resistência dos insetos-alvo. A adoção de práticas, inovadoras como a formulação e produção de produtos de origem microbiana é uma alternativa econômica e sustentável permitindo redução de riscos de contaminação ambiental, humana e animal. O objetivo deste estudo foi prospectar microrganismos com efeito bioinseticida, por meio de bioscreening, para o manejo de insetos-praga nas culturas da soja e do algodão. Inicialmente, foram coletados insetos mortos em áreas de produção cujo controle de espécies invasoras não foi executado. Posteriormente, as amostras obtidas foram esterilizadas superficialmente com etanol 70%, solução de NaOCl a 0,5% e água esterilizada em três lavagens consecutivas, por 3 minutos cada. Prontamente, os insetos foram rapidamente dispostos em placas de Petri com 25 mL de solução de Ágar Batata Dextrose (BDA) para verificar se houve, ou não, crescimento microbiano. Ainda, as placas de Petri foram dispostas em estufa incubadora a 25 ºC por uma semana. Subsequentemente, os microrganismos isolados foram conduzidos ao processo de fermentação submersa, a 28 ºC e 120 rotações por minuto (rpm), por sete dias. O produto fermentado foi filtrado com o auxílio de bomba a vácuo e disposto a sucessivas centrifugações a 3200 x g por 10 minutos. Os caldos biológicos foram utilizados para aplicação em insetos-praga para se testar a toxicidade potencial. Os insetos-praga utilizados como referência para o controle foram: Euschistus heros (percevejo-marrom-da-soja), Anticarsia gemmatalis (lagarta-da-soja), Helicoverpa armigera (lagarta-do-velho-mundo), Chrysodeixis includens (lagarta-falsa-medideira), Spodoptera frugiperda (lagarta-do-cartucho), Spodoptera eridania (lagarta-das-vagens), Helicoverpa zea (lagarta-da-espiga-do-milho), Spodoptera cosmioides (lagarta-preta-da-soja) e Elasmopalpus lignosellus (lagarta-elasmo). Um total de 163 microrganismos foram obtidos a partir da estratégia de bioscreening. Um total de 50 microrganismos foram pré-selecionados com base nas taxas de mortalidade (%) dos insetos-praga. Após, os melhores resultados para cada espécie de inseto-praga foram obtidos através de um modelo log-logístico de dois parâmetros com distribuição binomial, com base nos dados de mortalidade. Com base no modelo e em uma prévia classificação em nível de gênero das espécies, foram obtidos oito microrganismos potenciais, em que cinco foram classificados como fungos (FT4.1.1, A6.1, OL1, C7 e MI5) e três, bactérias (BR7, P1 e BR3.2). Ainda, foram realizadas diluições dos caldos fermentados de cada microrganismo (n ×10-5, n ×10-6, n ×10-7, e n ×10-8 esporos mL-1). A mortalidade foi máxima (100%) para H. zea e E. heros. Outros resultados promissores foram indicados no controle de A. gemmatalis e C. includens (até 87,5%) e E. lignosellus (até, aproximadamente, 83,5%). Para H. armigera a mortalidade atingiu 75%. O isolado de fungo A6 foi identificado com base na sequência ITS como Talaromyces piceae. Os fungos C7, CL1 e M15 também foram identificados como T. piceae, porém com base na sequência do gene ribossomal 28S. Da mesma forma, o isolado FT4.1.14 foi identificado como T. piceae com base na sequência do gene da beta-tubulina.Dentre as bactérias, com base no sequenciamento do gene ribossomal 16S, o isolado BR3.2 foi identificado como Lysinibacillus fusiformis, o isolado BR7 como Paenibacillus ottowii e o isolado P1 como Clostridium sphenoides. Desta forma, considerou-se que os resultados obtidos são relevantes para a comunidade científica por fazerem parte de uma linha de pesquisa de fronteira do conhecimento e, especialmente, são interessantes para empresas que estão atuando neste ramo no cenário agrícola.Universidade Federal de Santa MariaBrasilEngenharia AgrícolaUFSMPrograma de Pós-Graduação em Engenharia AgrícolaCentro de Ciências RuraisTres, Marcus Viníciushttp://lattes.cnpq.br/3057214179765618Zabot, Giovani LeoneMazutti, Márcio AntônioGuedes, Jerson Vanderlei CarúsDallago, Rogério MarcosMossi, Altemir JoséSantos, Maicon Sérgio Nascimento dos2024-04-30T11:30:32Z2024-04-30T11:30:32Z2024-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/31868ark:/26339/001300000xvhzporAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2024-04-30T11:30:32Zoai:repositorio.ufsm.br:1/31868Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2024-04-30T11:30:32Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodão
Prospection of microorganisms for the control of insect pests in soybean and cotton crops
title Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodão
spellingShingle Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodão
Santos, Maicon Sérgio Nascimento dos
Agentes microbianos
Biopesticidas
Manejo de insetos-praga
Microrganismos de ação inseticida
Microbial agents
Biopesticides
Insect pest management
Insecticidal microorganisms
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodão
title_full Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodão
title_fullStr Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodão
title_full_unstemmed Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodão
title_sort Prospecção de microrganismos para o controle de insetos-praga nas culturas da soja e do algodão
author Santos, Maicon Sérgio Nascimento dos
author_facet Santos, Maicon Sérgio Nascimento dos
author_role author
dc.contributor.none.fl_str_mv Tres, Marcus Vinícius
http://lattes.cnpq.br/3057214179765618
Zabot, Giovani Leone
Mazutti, Márcio Antônio
Guedes, Jerson Vanderlei Carús
Dallago, Rogério Marcos
Mossi, Altemir José
dc.contributor.author.fl_str_mv Santos, Maicon Sérgio Nascimento dos
dc.subject.por.fl_str_mv Agentes microbianos
Biopesticidas
Manejo de insetos-praga
Microrganismos de ação inseticida
Microbial agents
Biopesticides
Insect pest management
Insecticidal microorganisms
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
topic Agentes microbianos
Biopesticidas
Manejo de insetos-praga
Microrganismos de ação inseticida
Microbial agents
Biopesticides
Insect pest management
Insecticidal microorganisms
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description The occurrence of insect pests in crops of high economic value directly affects the yield of plants and grains. This scenario led to the mass investigation of chemical products that overcome these adversities and provide control potential. Nonetheless, over the years, there has been an intense exploration of this type of strategy, resulting in high production costs, generation of waste harmful to the environment, and resistance of target insects. The adoption of alternative practices, such as the formulation and production of products of microbial origin, emerges as an encouraging tool compared to control alternatives, indicating a sustainability bias, and allowing a reduction in the risks of human and animal contamination. The objective of this study was to perform a search for microorganisms with bioinsecticide effects, through bioscreening, for the management of insect pests in soybean and cotton crops. Initially, dead insects were collected in production areas where invasive species control was not performed. Subsequently, the samples obtained were superficially sterilized with 70% ethanol, 0.5% NaOCl solution, and sterilized water in three consecutive washes, for 3 minutes each. Immediately, the insects were placed in Petri dishes with 25 mL of Potato Dextrose Agar (BDA) solution to check whether or not there was microbial growth. Furthermore, the Petri dishes were placed in an incubator at 25 ºC for one week. Subsequently, the isolated microorganisms were subjected to the submerged fermentation process, at 28 ºC and 120 rotations per minute (rpm), for seven days. The fermented product was filtered using a vacuum pump and subjected to successive centrifuges at 3,200 x g for 10 minutes. The biological broths were applied to insect pests to test potential toxicity. The insect pests used as a reference for control were: Euschistus heros (neotropical brown stink bug), Anticarsia gemmatalis (soybean caterpillar), Helicoverpa armigera (old world bollworm), Chrysodeixis includens (soybean looper caterpillar), Spodoptera frugiperda (caterpillar-cartridge), Spodoptera eridania (Southern armyworm), Helicoverpa zea (corn earworm), Spodoptera cosmioides (black armyworm), and Elasmopalpus lignosellus (lesser cornstalk borer). A total of 163 microorganisms were obtained from the bioscreening strategy. A total of 50 microorganisms were- pre-selected based on mortality rates (%) of insect pests. Afterwards, the best results for each insect pest species were obtained through a two-parameter log-logistic model with binomial distribution, based on mortality data. Based on the model and a previous classification at the genus level, eight potential microorganisms were obtained, five of which were classified as fungi (FT4.1.1, A6.1, OL1, C7, and MI5) and three as bacteria (BR7, P1, and BR3.2). Furthermore, dilutions of the fermented broths of each microorganism were conducted (n ×10-5, n ×10-6, n ×10-7, and n ×10-8 spores mL-1). Mortality was maximum (100%) for H. zea and E. heros. Other encouraging results were indicated in the control of A. gemmatalis and C. includens (up to 87.5%) and E. lignosellus (up to approximately 83.5%). For H. armigera, mortality reached 75%. Fungal isolate A6.1 was identified based on the ITS sequence as Talaromyces piceae. The fungi C7, CL1, and M15 were also identified as T. piceae, but based on the sequence of the 28S ribosomal gene. Similarly, isolate FT4.1.14 was identified as T. piceae based on the beta-tubulin gene sequence. Among the bacteria, based on sequencing of the 16S ribosomal gene, isolate BR3.2 was identified as Lysinibacillus fusiformis, isolate BR7 as Paenibacillus ottowii, and isolate P1 as Clostridium sphenoides. It was considered that the results obtained were relevant to the scientific community as they are part of a line of research at the frontier of knowledge and, especially, are interesting for companies that are operating in this field in the agricultural scenario.
publishDate 2024
dc.date.none.fl_str_mv 2024-04-30T11:30:32Z
2024-04-30T11:30:32Z
2024-02-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/31868
dc.identifier.dark.fl_str_mv ark:/26339/001300000xvhz
url http://repositorio.ufsm.br/handle/1/31868
identifier_str_mv ark:/26339/001300000xvhz
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia Agrícola
UFSM
Programa de Pós-Graduação em Engenharia Agrícola
Centro de Ciências Rurais
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia Agrícola
UFSM
Programa de Pós-Graduação em Engenharia Agrícola
Centro de Ciências Rurais
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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