Quantifying losses in productivity by the rust in eucalypt plantations in Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.foreco.2020.118170 http://hdl.handle.net/11449/200324 |
Resumo: | The eucalyptus plantations in Brazil have been great importance in economy with 1.3% of the Gross Domestic Product, so their productivity has recently been extensively researched by the forestry. This productivity is affected by abiotic and biotic factors. Among the biotic factors we can highlight the rust, which attacks and generates large long-term losses in large scale. The aim of this paper is to measure the effect of the rust disease in eucalyptus stand by the statistical-models approach. Firstly, a new index named Rust Severity Index – RSI has been proposed. The index is a weighted average of the severity scale by the inverse of age in days. The generalized linear model has been used to model the effect of region/farm and severity of disease in maximum sample volume (m3) of the plantations. We also fit a generalized linear regression model to maximum sample volume (m3) of the plantations by the rust severity index. Finally, Gompertz nonlinear regressions models were fitted to the volume growth according to region/farm and rust severity. Then, it has been possible to measure the losses in volume (m3) due the rust severity by the percentage difference between the rust severity categories at 51st and 72nd months. |
id |
UNSP_dfd497fe5e5345a4c5eafaa4e4619160 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/200324 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Quantifying losses in productivity by the rust in eucalypt plantations in BrazilAssessment productionGompertz regressionRust severity indexThe eucalyptus plantations in Brazil have been great importance in economy with 1.3% of the Gross Domestic Product, so their productivity has recently been extensively researched by the forestry. This productivity is affected by abiotic and biotic factors. Among the biotic factors we can highlight the rust, which attacks and generates large long-term losses in large scale. The aim of this paper is to measure the effect of the rust disease in eucalyptus stand by the statistical-models approach. Firstly, a new index named Rust Severity Index – RSI has been proposed. The index is a weighted average of the severity scale by the inverse of age in days. The generalized linear model has been used to model the effect of region/farm and severity of disease in maximum sample volume (m3) of the plantations. We also fit a generalized linear regression model to maximum sample volume (m3) of the plantations by the rust severity index. Finally, Gompertz nonlinear regressions models were fitted to the volume growth according to region/farm and rust severity. Then, it has been possible to measure the losses in volume (m3) due the rust severity by the percentage difference between the rust severity categories at 51st and 72nd months.Botanic Department Instituto de Biociências (IBB) Universidade Estadual Paulista (UNESP)Plant Protection Department Faculdade de Ciências Agronômicas (FCA) Universidade Estadual Paulista (UNESP)Biostatistic Department Instituto de Biociências (IBB) Universidade Estadual Paulista (UNESP)Botanic Department Instituto de Biociências (IBB) Universidade Estadual Paulista (UNESP)Plant Protection Department Faculdade de Ciências Agronômicas (FCA) Universidade Estadual Paulista (UNESP)Biostatistic Department Instituto de Biociências (IBB) Universidade Estadual Paulista (UNESP)Universidade Estadual Paulista (Unesp)Passos dos Santos, AlexLanças Gomes, Rafaela [UNESP]Furtado, Edson Luiz [UNESP]de Souza Passos, José Raimundo [UNESP]2020-12-12T02:03:40Z2020-12-12T02:03:40Z2020-07-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.foreco.2020.118170Forest Ecology and Management, v. 468.0378-1127http://hdl.handle.net/11449/20032410.1016/j.foreco.2020.1181702-s2.0-85083818147Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengForest Ecology and Managementinfo:eu-repo/semantics/openAccess2024-04-30T18:07:32Zoai:repositorio.unesp.br:11449/200324Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:12:09.486663Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Quantifying losses in productivity by the rust in eucalypt plantations in Brazil |
title |
Quantifying losses in productivity by the rust in eucalypt plantations in Brazil |
spellingShingle |
Quantifying losses in productivity by the rust in eucalypt plantations in Brazil Passos dos Santos, Alex Assessment production Gompertz regression Rust severity index |
title_short |
Quantifying losses in productivity by the rust in eucalypt plantations in Brazil |
title_full |
Quantifying losses in productivity by the rust in eucalypt plantations in Brazil |
title_fullStr |
Quantifying losses in productivity by the rust in eucalypt plantations in Brazil |
title_full_unstemmed |
Quantifying losses in productivity by the rust in eucalypt plantations in Brazil |
title_sort |
Quantifying losses in productivity by the rust in eucalypt plantations in Brazil |
author |
Passos dos Santos, Alex |
author_facet |
Passos dos Santos, Alex Lanças Gomes, Rafaela [UNESP] Furtado, Edson Luiz [UNESP] de Souza Passos, José Raimundo [UNESP] |
author_role |
author |
author2 |
Lanças Gomes, Rafaela [UNESP] Furtado, Edson Luiz [UNESP] de Souza Passos, José Raimundo [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Passos dos Santos, Alex Lanças Gomes, Rafaela [UNESP] Furtado, Edson Luiz [UNESP] de Souza Passos, José Raimundo [UNESP] |
dc.subject.por.fl_str_mv |
Assessment production Gompertz regression Rust severity index |
topic |
Assessment production Gompertz regression Rust severity index |
description |
The eucalyptus plantations in Brazil have been great importance in economy with 1.3% of the Gross Domestic Product, so their productivity has recently been extensively researched by the forestry. This productivity is affected by abiotic and biotic factors. Among the biotic factors we can highlight the rust, which attacks and generates large long-term losses in large scale. The aim of this paper is to measure the effect of the rust disease in eucalyptus stand by the statistical-models approach. Firstly, a new index named Rust Severity Index – RSI has been proposed. The index is a weighted average of the severity scale by the inverse of age in days. The generalized linear model has been used to model the effect of region/farm and severity of disease in maximum sample volume (m3) of the plantations. We also fit a generalized linear regression model to maximum sample volume (m3) of the plantations by the rust severity index. Finally, Gompertz nonlinear regressions models were fitted to the volume growth according to region/farm and rust severity. Then, it has been possible to measure the losses in volume (m3) due the rust severity by the percentage difference between the rust severity categories at 51st and 72nd months. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T02:03:40Z 2020-12-12T02:03:40Z 2020-07-15 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.foreco.2020.118170 Forest Ecology and Management, v. 468. 0378-1127 http://hdl.handle.net/11449/200324 10.1016/j.foreco.2020.118170 2-s2.0-85083818147 |
url |
http://dx.doi.org/10.1016/j.foreco.2020.118170 http://hdl.handle.net/11449/200324 |
identifier_str_mv |
Forest Ecology and Management, v. 468. 0378-1127 10.1016/j.foreco.2020.118170 2-s2.0-85083818147 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Forest Ecology and Management |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129170608226304 |