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dc.contributor.advisor1Silva, Anderson Rodrigo da-
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/3916683240962357pt_BR
dc.contributor.referee1Freitas, Marco Antonio Moreira de-
dc.contributor.referee2Almeida, André Cirilo de Souza-
dc.creatorRocha, Rodrigo de Almeida-
dc.creator.Latteshttp://lattes.cnpq.br/5204482245975975pt_BR
dc.date.accessioned2023-03-22T14:14:12Z-
dc.date.available2023-04-10-
dc.date.available2023-03-22T14:14:12Z-
dc.date.issued2022-09-09-
dc.identifier.urihttps://repositorio.ifgoiano.edu.br/handle/prefix/3511-
dc.description.abstractDiatraea saccharalis Fabricius is one of the main pests of the rice crop and its early detection, that is, before the plants show damage, is essential to avoid yield losses and to define effective and rational control. This work aimed to model the infrared-thermal responses of rice cultivars to simulated levels of damage caused by D. saccharalis, and to model the responses of agronomic variables of two cultivars to infestation levels. Two experiments were conducted in a protected environment, in 2019 and 2021, with the IR40 and BRS Irga 409 cultivars, respectively. The seeds were planted in plastic trays with commercial substrate for vegetables and, after twenty days, three seedlings were transplanted into plastic pots with a capacity of 5 L and infested with first-instar larvae of D. saccharalis, ranging from 0, 2, 4, 6 and 10 larvae/plant, with the plants kept in cages covered with voile fabric. It was noticed that the temperature of the leaf surface is related to the level of infestation and can be used for phytosanitary evaluation. From the leaf temperature or the difference between the ambient temperature, it was possible to detect which cultivar IR40 is susceptible, compared to BRS Irga 409pt_BR
dc.description.resumoA Diatraea saccharalis Fabricius é uma das principais pragas da cultura do arroz e a sua detecção antecipada, ou seja, antes de as plantas apresentarem danos, é fundamental para evitar a perdas de rendimento e definição de controle eficaz e racional. Este trabalho objetivou modelar as respostas infravermelho-termais de cultivares de arroz aos níveis simulados de danos causados por D. saccharalis, e modelar as respostas de variáveis agronômicas de duas cultivares aos níveis de infestação. Foram conduzidos dois experimentos em ambiente protegido, em 2019 e 2021, com as cultivares IR40 e BRS Irga 409, respectivamente. As sementes foram plantadas em bandejas plásticas com substrato comercial para hortaliças e, após vinte dias, três mudas foram transplantadas para vasos plásticos com capacidade de 5 L e infestadas com larvas de primeiro instar de D. saccharalis, variando de 0, 2, 4, 6 e 10 larvas/planta, com as plantas mantidas em gaiolas cobertas com tecido voil. Percebeu-se que a temperatura da superfície da folha está relacionada com o nível de infestação e pode ser utilizada para avaliação fitossanitária. A partir da temperatura foliar ou da diferença entre a temperatura ambiente, foi possível detectar que cultivar IR40 é suscetível, comparada a BRS Irga 409.pt_BR
dc.description.provenanceSubmitted by Rodrigo de Almeida Rocha (rodrigota99@outlook.com) on 2023-03-22T12:08:53Z No. of bitstreams: 1 TCC Rodrigo - Pronto.pdf: 733138 bytes, checksum: c876f396e046c02a9867804a5eed1578 (MD5)en
dc.description.provenanceApproved for entry into archive by Johnathan Diniz (johnathan.diniz@ifgoiano.edu.br) on 2023-03-22T14:10:58Z (GMT) No. of bitstreams: 1 TCC Rodrigo - Pronto.pdf: 733138 bytes, checksum: c876f396e046c02a9867804a5eed1578 (MD5)en
dc.description.provenanceMade available in DSpace on 2023-03-22T14:14:12Z (GMT). No. of bitstreams: 1 TCC Rodrigo - Pronto.pdf: 733138 bytes, checksum: c876f396e046c02a9867804a5eed1578 (MD5) Previous issue date: 2022-09-09en
dc.description.sponsorshipFAPEG/CNPqpt_BR
dc.languageporpt_BR
dc.publisherInstituto Federal Goianopt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentCampus Urutaípt_BR
dc.publisher.initialsIF Goianopt_BR
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Journal of economic entomology, v. 111, n. 1, p. 422-427, 2018. https://doi.org/10.1093/jee/tox291 CRAPARO, A. C. W. et al. Application of thermography for monitoring stomatal conductance of Coffea arabica under different shading systems. Science of the Total Environment, v. 609, p. 755-763, 2017. https://doi.org/10.1016/j.scitotenv.2017.07.158 DEERY, David M. et al. Methodology for high-throughput field phenotyping of canopy temperature using airborne thermography. Frontiers in plant science, v. 7, p. 1808, 2016. https://doi.org/10.3389/fpls.2016.01808 ELARAB, Manal et al. Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture. International Journal of Applied Earth Observation and Geoinformation, v. 43, p. 32-42, 2015. https://doi.org/10.1016/j.jag.2015.03.017 MARTINS, JF da S. et al. Situação do manejo integrado de insetos-praga na cultura do arroz no Brasil. 2009. Disponível em: <http://www.agencia.cnptia.embrapa.br/gestor/ arroz/arvore/CONT000fuye4xq602wyiv80166sqf4qsy51i.html> Acesso em: 15 mai. 2022. FERREIRA, E. et al. Resistência de arroz de terras altas à broca-do-colmo (Diatraea saccharalis Fabricius, 1794). 2000. GARCÍA-TEJERO, I. F. et al. Assessing plant water status in a hedgerow olive orchard from thermography at plant level. Agricultural Water Management, v. 188, p. 50-60, 2017. https://doi.org/10.1016/j.agwat.2017.04.004 GOLOMB, O. et al. Detection of red palm weevil infected trees using thermal imaging. In: Precision agriculture'15. Wageningen Academic Publishers, 2015. p. 322-37. https://doi.org/10.3920/978-90-8686-814-8 GONZALEZ-DUGO, Victoria et al. Using high-resolution hyperspectral and thermal airborne imagery to assess physiological condition in the context of wheat phenotyping. Remote Sensing, v. 7, n. 10, p. 13586-13605, 2015.https://doi.org/10.3390/rs71013586 HATTON, Nicholle et al. Remote thermal infrared imaging for rapid screening of sudden death syndrome in soybean. In: 2018 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers, 2018. p. 1. https://doi:10.13031/aim.201800881 HOSSEINI, Seydeh Zahra et al. Evaluation of resistance to striped stem borer in rice. Biharean Biologist, v. 4, n. 1, p. 67-71, 2010. KLEM, Karel et al. Interactive effects of water deficit and nitrogen nutrition on winter wheat. Remote sensing methods for their detection. Agricultural Water Management, v. 210, p. 171-184, 2018. https://doi.org/10.1016/j.agwat.2018.08.004 MAHLEIN, Anne-Katrin. Plant disease detection by imaging sensors–parallels and specific demands for precision agriculture and plant phenotyping. Plant disease, v. 100, n. 2, p. 241-251, 2016. https://doi.org/10.1094/PDIS-03-15-0340-FE PELOSI, A. P. et al. Resistência constitutiva em diferentes acessos de arroz à Diatraea saccharalis (Fabricius)(Lepidoptera: Crambidae). 2017. RAMÍREZ, Asdrúbal Jesús Farías et al. Determinação do índice de estresse hídrico em tomateiros cereja (Lycopersicum solanum var. cerasiforme.) com câmara infravermelha. Revista Brasileira de Agricultura Irrigada-RBAI, v. 9, n. 4, p. 218-224, 2015. SANDHU, Hardev S.; CHERRY, Ronald H. Sugarcane Borer, Diatraea saccharalis (F.)(Lepidoptera: Crambidae), Injury and survival in energy cane versus sugarcane. Sugar Tech, v. 20, p. 558-565, 2018. https://dx.doi.org/10.1007/s12355-017-0577-8 THAPA, Sushil et al. Canopy temperature, yield, and harvest index of corn as affected by planting geometry in a semi-arid environment. Field Crops Research, v. 227, p. 110-118, 2018. https://doi.org/10.1016/j.fcr.2018.08.009 VILELA, Michelle et al. Influence of Diatraea saccharalis (Lepidoptera: Crambidae) infestation on sweet sorghum productivity and juice quality. 2017. https://dx.doi.org/10.5897/AJAR2017.1243 XU, Junzeng et al. Diagnosing crop water stress of rice using infra-red thermal imager under water deficit condition. Int. J. Agric. Biol, v. 18, n. 3, p. 565-572, 2016. https://doi:10.17957/IJAB/15.0125pt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectDiatraea saccharalispt_BR
dc.subjectOryza sativapt_BR
dc.subjectThermal imagespt_BR
dc.subjectProximal sensingpt_BR
dc.subject.cnpqCIENCIAS AGRARIAS::AGRONOMIApt_BR
dc.titleRESPOSTAS DE ARROZ A DIATRAEA SACCHARALIS (FABRICIUS) POR IMAGEAMENTO INFRAVERMELHO TERMALpt_BR
dc.title.alternativeRICE RESPONSES TO DIATRAEA SACCHARALIS (FABRICIUS) BY INFRARED-THERMAL IMAGINGpt_BR
dc.typeTrabalho de Conclusão de Cursopt_BR
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