MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella Bentham

Detalhes bibliográficos
Autor(a) principal: Téo, Saulo Jorge
Data de Publicação: 2015
Outros Autores: Machado, Sebastião do Amaral, Filho, Afonso Figueiredo, Reissmann, Carlos Bruno
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/136
Resumo: The aim of this work was to adjust and test different statistical models for estimating macronutrient content in the above-ground biomass of bracatinga (Mimosa scabrella Bentham). The data were collected from 25 bracatinga trees, all native to the north of the metropolitan region of Curitiba, Paraná state, Brazil. To determine the biomass and macronutrient content, the trees were separated into the compartments leaves, branches < 4 cm, branches 4 cm, wood and stem barks. Different statistical models were adjusted to estimate N, P, K, Ca and Mg contents in the tree compartments, using dendrometric variables as the model independent variables. Based on the results, the equations developed for estimating macronutrient contents were, in general, satisfactory. The most accurate estimates were obtained for the stem biomass compartments and the sum of the biomass compartments. In some cases, the equations had a better performance when crown and stem dimensions, age and dominant height were included as independentvariables
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spelling MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella BenthamBracatinganutrient contentsforest biomassThe aim of this work was to adjust and test different statistical models for estimating macronutrient content in the above-ground biomass of bracatinga (Mimosa scabrella Bentham). The data were collected from 25 bracatinga trees, all native to the north of the metropolitan region of Curitiba, Paraná state, Brazil. To determine the biomass and macronutrient content, the trees were separated into the compartments leaves, branches < 4 cm, branches 4 cm, wood and stem barks. Different statistical models were adjusted to estimate N, P, K, Ca and Mg contents in the tree compartments, using dendrometric variables as the model independent variables. Based on the results, the equations developed for estimating macronutrient contents were, in general, satisfactory. The most accurate estimates were obtained for the stem biomass compartments and the sum of the biomass compartments. In some cases, the equations had a better performance when crown and stem dimensions, age and dominant height were included as independentvariablesCERNECERNE2015-05-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/136CERNE; Vol. 16 No. 3 (2010); 323-334CERNE; v. 16 n. 3 (2010); 323-3342317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://cerne.ufla.br/site/index.php/CERNE/article/view/136/109Copyright (c) 2015 Saulo Jorge Téo, Sebastião do Amaral Machado, Afonso Figueiredo Filho, Carlos Bruno Reissmanninfo:eu-repo/semantics/openAccessTéo, Saulo JorgeMachado, Sebastião do AmaralFilho, Afonso FigueiredoReissmann, Carlos Bruno2015-05-14T12:07:47Zoai:cerne.ufla.br:article/136Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:53:32.985782Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella Bentham
title MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella Bentham
spellingShingle MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella Bentham
Téo, Saulo Jorge
Bracatinga
nutrient contents
forest biomass
title_short MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella Bentham
title_full MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella Bentham
title_fullStr MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella Bentham
title_full_unstemmed MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella Bentham
title_sort MODELS FOR ESTIMATING MACRONUTRIENTS IN Mimosa scabrella Bentham
author Téo, Saulo Jorge
author_facet Téo, Saulo Jorge
Machado, Sebastião do Amaral
Filho, Afonso Figueiredo
Reissmann, Carlos Bruno
author_role author
author2 Machado, Sebastião do Amaral
Filho, Afonso Figueiredo
Reissmann, Carlos Bruno
author2_role author
author
author
dc.contributor.author.fl_str_mv Téo, Saulo Jorge
Machado, Sebastião do Amaral
Filho, Afonso Figueiredo
Reissmann, Carlos Bruno
dc.subject.por.fl_str_mv Bracatinga
nutrient contents
forest biomass
topic Bracatinga
nutrient contents
forest biomass
description The aim of this work was to adjust and test different statistical models for estimating macronutrient content in the above-ground biomass of bracatinga (Mimosa scabrella Bentham). The data were collected from 25 bracatinga trees, all native to the north of the metropolitan region of Curitiba, Paraná state, Brazil. To determine the biomass and macronutrient content, the trees were separated into the compartments leaves, branches < 4 cm, branches 4 cm, wood and stem barks. Different statistical models were adjusted to estimate N, P, K, Ca and Mg contents in the tree compartments, using dendrometric variables as the model independent variables. Based on the results, the equations developed for estimating macronutrient contents were, in general, satisfactory. The most accurate estimates were obtained for the stem biomass compartments and the sum of the biomass compartments. In some cases, the equations had a better performance when crown and stem dimensions, age and dominant height were included as independentvariables
publishDate 2015
dc.date.none.fl_str_mv 2015-05-14
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://cerne.ufla.br/site/index.php/CERNE/article/view/136
url https://cerne.ufla.br/site/index.php/CERNE/article/view/136
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/136/109
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 16 No. 3 (2010); 323-334
CERNE; v. 16 n. 3 (2010); 323-334
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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