Sensoriamento remoto para detecção de seringais
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFU |
Texto Completo: | https://repositorio.ufu.br/handle/123456789/19716 http://dx.doi.org/10.14393/ufu.te.2017.46 |
Resumo: | The production of natural rubber from rubber trees (Hevea brasiliensis) is a strategic activity for Brazilian economy. The main factor reducing productivity of this activity is the occurrence of diseases in the rubber plantation. The root-knot nematode (Meloidogyne exigua) is the main root disease of this culture in Brazil and its early identification enables better management of its outbreak in orchards and the reduction of their losses. This study identified areas with the occurrence of M. exigua in rubber plantations through the use of spectral vegetation indices - Normalized Difference Vegetation Index (NDVI) and Simple Ratio Index (SR) - generated from images of the constellation RapidEye® satellites (5 meters resolution). Productive rubber plantations, at least 7 years old, in Minas Gerais (irrigated) and Goiás (non-irrigated) states were sampled and georeferenced in the second half of the rainny season and the quantities of nematodes in soil, roots and total were estimated. The rubber plantation in Minas Gerais was sampled initially following the abnormalities detected by the NDVI index generated through the images of Landsat 8 satellite (30 meters resolution). The rubber plantation in Goiás was sampled randomly to validate the results observed in the first rubber plantation (Minas Gerais). In spite of the identification of significant regressions with the use of high resolution images (RapidEye®) between the variables quantities of nematodes and spectral vegetation indices, none showed a coefficient of determination (R2) greater than 0.31. The descriptive statistics of the data set from both surveys did not identify differences in the quantities of nematodes found in the roots or the total quantity between the areas, however, the amount of nematodes in the soil was approximately 236% greater in Goiás rubber plantation, while both spectral vegetation indices (NDVI and SR) in this rubber plantation were lower than the indices estimated for the rubber plantation in Minas Gerais. This difference was a result of irrigation in the area in Minas Gerais. The correlations of Pearson, Spearman and Kendall were calculated between the densities of nematodes and the spectral vegetation indexes. The correlations between the amount of nematodes in rubber trees plantation and NDVI index showed the best significant coefficients for any of the correlations evaluated. Through the NDVI index it is possible to differentiate an infested rubber tree plantation from a non-infested rubber tree plantation by M. exigua root-knot nematode. |
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Sensoriamento remoto para detecção de seringaisRemote sensing to detect Meloidogyne exigua in rubber treeAgronomiaNematóide de galhaSeringueira - Doenças e pragasSensoriamento remoto - AgriculturaNematoide de galhaHevea brasiliensisNDVIÍndice razão simplesRapidEyeRoot-knot nematodeHevea brasiliensisSimple ratio indexRapidEyeCNPQ::CIENCIAS AGRARIAS::AGRONOMIAThe production of natural rubber from rubber trees (Hevea brasiliensis) is a strategic activity for Brazilian economy. The main factor reducing productivity of this activity is the occurrence of diseases in the rubber plantation. The root-knot nematode (Meloidogyne exigua) is the main root disease of this culture in Brazil and its early identification enables better management of its outbreak in orchards and the reduction of their losses. This study identified areas with the occurrence of M. exigua in rubber plantations through the use of spectral vegetation indices - Normalized Difference Vegetation Index (NDVI) and Simple Ratio Index (SR) - generated from images of the constellation RapidEye® satellites (5 meters resolution). Productive rubber plantations, at least 7 years old, in Minas Gerais (irrigated) and Goiás (non-irrigated) states were sampled and georeferenced in the second half of the rainny season and the quantities of nematodes in soil, roots and total were estimated. The rubber plantation in Minas Gerais was sampled initially following the abnormalities detected by the NDVI index generated through the images of Landsat 8 satellite (30 meters resolution). The rubber plantation in Goiás was sampled randomly to validate the results observed in the first rubber plantation (Minas Gerais). In spite of the identification of significant regressions with the use of high resolution images (RapidEye®) between the variables quantities of nematodes and spectral vegetation indices, none showed a coefficient of determination (R2) greater than 0.31. The descriptive statistics of the data set from both surveys did not identify differences in the quantities of nematodes found in the roots or the total quantity between the areas, however, the amount of nematodes in the soil was approximately 236% greater in Goiás rubber plantation, while both spectral vegetation indices (NDVI and SR) in this rubber plantation were lower than the indices estimated for the rubber plantation in Minas Gerais. This difference was a result of irrigation in the area in Minas Gerais. The correlations of Pearson, Spearman and Kendall were calculated between the densities of nematodes and the spectral vegetation indexes. The correlations between the amount of nematodes in rubber trees plantation and NDVI index showed the best significant coefficients for any of the correlations evaluated. Through the NDVI index it is possible to differentiate an infested rubber tree plantation from a non-infested rubber tree plantation by M. exigua root-knot nematode.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorTese (Doutorado)A produção de borracha natural de seringueira (Hevea brasiliensis) é uma atividade estratégica para a economia nacional. O principal fator redutor da produtividade dessa atividade é a ocorrência de doenças no seringal. O nematoide de galhas (Meloidogyne exigua) é a principal doença radicular dessa cultura no Brasil e sua identificação antecipada permite um melhor manejo desta epidemia no seringal e a redução de seus prejuízos. O objetivo desse estudo foi identificar áreas com a ocorrência de M. exigua em seringais através do uso dos índices espectrais de vegetação - Índice de Vegetação por Diferença Normalizada (NDVI) e Índice de Razão Simples (RS) - gerados a partir de imagens da constelação de satélites RapidEye® (resolução de 5 metros). Seringais produtivos, com pelo menos 7 anos de plantio, em Minas Gerais (irrigado) e em Goiás (não irrigado) foram amostrados e georreferenciados na segunda metade do período das chuvas e as densidades de nematoides no solo, nas raízes e total foram estimadas. O seringal em Minas Gerais foi amostrado inicialmente seguindo as anormalidades evidenciadas pelo índice NDVI gerado através de imagens do satélite Landsat 8 (resolução de 30 metros). O seringal em Goiás foi amostrado aleatoriamente com o intuito de validar os resultados observados no seringal em Minas Gerais. Apesar de serem identificadas regressões significativas com o uso de imagens de alta resolução (RapidEye®) entre as variáveis densidades de nematoides e os índices espectrais de vegetação, nenhuma apresentou coeficiente de determinação (R2) superior a 0,31. A estatística descritiva do conjunto de dados de ambos os seringais não identificou diferenças entre as áreas para as densidades de nematoides encontradas nas raízes ou a densidade total, no entanto, a densidade de nematoides no solo foi aproximadamente 236% superior no seringal em Goiás, enquanto que ambos os índices neste seringal foram inferiores aos índices estimados para o seringal em Minas Gerais. Está diferença foi consequência da irrigação na área em Minas Gerais. As correlações de Pearson, Spearman e Kendall foram calculadas para as densidades de nematoides e os índices espectrais. As correlações entre a densidade de nematoides do seringal e o índice NDVI foram as que apresentaram os maiores coeficientes significativos para qualquer das correlações avaliadas. Através do índice NDVI é possível diferenciar um seringal não infestado de um seringal infestado pelo nematoide de galhas M. exigua.Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em AgronomiaCoelho, Lísiashttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4788535A3Santos, Maria Amelia doshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4785371A3Rosa, Robertohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4780187P2Torres, José Luiz Rodrigueshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4784971T7Santos, Jaime Maia doshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781895P4Lemes, Ernane Miranda2017-09-15T18:13:25Z2017-09-15T18:13:25Z2017-02-22info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfLEMES, Emane Miranda. Sensoriamento remoto para detecção de seringais infestados por Meloidogyne exigua. 2017. 68 f. Tese (Doutorado em Agronomia) - Universidade Federal de Uberlândia, Uberlândia, 2017. DOI http://dx.doi.org/10.14393/ufu.te.2017.46.https://repositorio.ufu.br/handle/123456789/19716http://dx.doi.org/10.14393/ufu.te.2017.46porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFUinstname:Universidade Federal de Uberlândia (UFU)instacron:UFU2019-02-05T16:56:12Zoai:repositorio.ufu.br:123456789/19716Repositório InstitucionalONGhttp://repositorio.ufu.br/oai/requestdiinf@dirbi.ufu.bropendoar:2019-02-05T16:56:12Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Sensoriamento remoto para detecção de seringais Remote sensing to detect Meloidogyne exigua in rubber tree |
title |
Sensoriamento remoto para detecção de seringais |
spellingShingle |
Sensoriamento remoto para detecção de seringais Lemes, Ernane Miranda Agronomia Nematóide de galha Seringueira - Doenças e pragas Sensoriamento remoto - Agricultura Nematoide de galha Hevea brasiliensis NDVI Índice razão simples RapidEye Root-knot nematode Hevea brasiliensis Simple ratio index RapidEye CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
title_short |
Sensoriamento remoto para detecção de seringais |
title_full |
Sensoriamento remoto para detecção de seringais |
title_fullStr |
Sensoriamento remoto para detecção de seringais |
title_full_unstemmed |
Sensoriamento remoto para detecção de seringais |
title_sort |
Sensoriamento remoto para detecção de seringais |
author |
Lemes, Ernane Miranda |
author_facet |
Lemes, Ernane Miranda |
author_role |
author |
dc.contributor.none.fl_str_mv |
Coelho, Lísias http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4788535A3 Santos, Maria Amelia dos http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4785371A3 Rosa, Roberto http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4780187P2 Torres, José Luiz Rodrigues http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4784971T7 Santos, Jaime Maia dos http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781895P4 |
dc.contributor.author.fl_str_mv |
Lemes, Ernane Miranda |
dc.subject.por.fl_str_mv |
Agronomia Nematóide de galha Seringueira - Doenças e pragas Sensoriamento remoto - Agricultura Nematoide de galha Hevea brasiliensis NDVI Índice razão simples RapidEye Root-knot nematode Hevea brasiliensis Simple ratio index RapidEye CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
topic |
Agronomia Nematóide de galha Seringueira - Doenças e pragas Sensoriamento remoto - Agricultura Nematoide de galha Hevea brasiliensis NDVI Índice razão simples RapidEye Root-knot nematode Hevea brasiliensis Simple ratio index RapidEye CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
description |
The production of natural rubber from rubber trees (Hevea brasiliensis) is a strategic activity for Brazilian economy. The main factor reducing productivity of this activity is the occurrence of diseases in the rubber plantation. The root-knot nematode (Meloidogyne exigua) is the main root disease of this culture in Brazil and its early identification enables better management of its outbreak in orchards and the reduction of their losses. This study identified areas with the occurrence of M. exigua in rubber plantations through the use of spectral vegetation indices - Normalized Difference Vegetation Index (NDVI) and Simple Ratio Index (SR) - generated from images of the constellation RapidEye® satellites (5 meters resolution). Productive rubber plantations, at least 7 years old, in Minas Gerais (irrigated) and Goiás (non-irrigated) states were sampled and georeferenced in the second half of the rainny season and the quantities of nematodes in soil, roots and total were estimated. The rubber plantation in Minas Gerais was sampled initially following the abnormalities detected by the NDVI index generated through the images of Landsat 8 satellite (30 meters resolution). The rubber plantation in Goiás was sampled randomly to validate the results observed in the first rubber plantation (Minas Gerais). In spite of the identification of significant regressions with the use of high resolution images (RapidEye®) between the variables quantities of nematodes and spectral vegetation indices, none showed a coefficient of determination (R2) greater than 0.31. The descriptive statistics of the data set from both surveys did not identify differences in the quantities of nematodes found in the roots or the total quantity between the areas, however, the amount of nematodes in the soil was approximately 236% greater in Goiás rubber plantation, while both spectral vegetation indices (NDVI and SR) in this rubber plantation were lower than the indices estimated for the rubber plantation in Minas Gerais. This difference was a result of irrigation in the area in Minas Gerais. The correlations of Pearson, Spearman and Kendall were calculated between the densities of nematodes and the spectral vegetation indexes. The correlations between the amount of nematodes in rubber trees plantation and NDVI index showed the best significant coefficients for any of the correlations evaluated. Through the NDVI index it is possible to differentiate an infested rubber tree plantation from a non-infested rubber tree plantation by M. exigua root-knot nematode. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-15T18:13:25Z 2017-09-15T18:13:25Z 2017-02-22 |
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 |
LEMES, Emane Miranda. Sensoriamento remoto para detecção de seringais infestados por Meloidogyne exigua. 2017. 68 f. Tese (Doutorado em Agronomia) - Universidade Federal de Uberlândia, Uberlândia, 2017. DOI http://dx.doi.org/10.14393/ufu.te.2017.46. https://repositorio.ufu.br/handle/123456789/19716 http://dx.doi.org/10.14393/ufu.te.2017.46 |
identifier_str_mv |
LEMES, Emane Miranda. Sensoriamento remoto para detecção de seringais infestados por Meloidogyne exigua. 2017. 68 f. Tese (Doutorado em Agronomia) - Universidade Federal de Uberlândia, Uberlândia, 2017. DOI http://dx.doi.org/10.14393/ufu.te.2017.46. |
url |
https://repositorio.ufu.br/handle/123456789/19716 http://dx.doi.org/10.14393/ufu.te.2017.46 |
dc.language.iso.fl_str_mv |
por |
language |
por |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia Brasil Programa de Pós-graduação em Agronomia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia Brasil Programa de Pós-graduação em Agronomia |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFU instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
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UFU |
institution |
UFU |
reponame_str |
Repositório Institucional da UFU |
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Repositório Institucional da UFU |
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Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
diinf@dirbi.ufu.br |
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