Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)

Detalhes bibliográficos
Autor(a) principal: Schmildt,Edilson Romais
Data de Publicação: 2015
Outros Autores: Amaral,José Augusto Teixeira do, Santos,Jeangelis Silva, Schmildt,Omar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400740
Resumo: ABSTRACTThe evaluation of leaf area is required in several agronomic studies given their importance to assess the plant growth. The objective of this study was to use statistical models to estimate leaf area of five clonal varieties of coffee (Coffea canephora) from linear dimensions (length and width maximum). Were used in the studies five varieties of Coffea canephora Pierre ex Froehner: Emcapa 8111, Emcapa 8121 Emcapa 8131, Emcapa 8141 and at Incaper 8142. The results obtained in this study allow us to conclude that the linear model expresses the best estimate of leaf area. Among the different independent variables adopted, the product of length and greatest width (L.W) was found to be the greatest significance and higher coefficients of determination (R2). The regression equation that best expresses the estimated leaf area for the five clonal varieties is Ŷi = 0.6723 + 0.6779 xi, where xi represents the product of the greatest length and the greatest width of the leaves.
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spelling Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)Coffea canephoraLeaf dimensionNon-destructive methodABSTRACTThe evaluation of leaf area is required in several agronomic studies given their importance to assess the plant growth. The objective of this study was to use statistical models to estimate leaf area of five clonal varieties of coffee (Coffea canephora) from linear dimensions (length and width maximum). Were used in the studies five varieties of Coffea canephora Pierre ex Froehner: Emcapa 8111, Emcapa 8121 Emcapa 8131, Emcapa 8141 and at Incaper 8142. The results obtained in this study allow us to conclude that the linear model expresses the best estimate of leaf area. Among the different independent variables adopted, the product of length and greatest width (L.W) was found to be the greatest significance and higher coefficients of determination (R2). The regression equation that best expresses the estimated leaf area for the five clonal varieties is Ŷi = 0.6723 + 0.6779 xi, where xi represents the product of the greatest length and the greatest width of the leaves.Universidade Federal do Ceará2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400740Revista Ciência Agronômica v.46 n.4 2015reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20150061info:eu-repo/semantics/openAccessSchmildt,Edilson RomaisAmaral,José Augusto Teixeira doSantos,Jeangelis SilvaSchmildt,Omareng2015-09-30T00:00:00Zoai:scielo:S1806-66902015000400740Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2015-09-30T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)
title Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)
spellingShingle Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)
Schmildt,Edilson Romais
Coffea canephora
Leaf dimension
Non-destructive method
title_short Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)
title_full Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)
title_fullStr Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)
title_full_unstemmed Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)
title_sort Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)
author Schmildt,Edilson Romais
author_facet Schmildt,Edilson Romais
Amaral,José Augusto Teixeira do
Santos,Jeangelis Silva
Schmildt,Omar
author_role author
author2 Amaral,José Augusto Teixeira do
Santos,Jeangelis Silva
Schmildt,Omar
author2_role author
author
author
dc.contributor.author.fl_str_mv Schmildt,Edilson Romais
Amaral,José Augusto Teixeira do
Santos,Jeangelis Silva
Schmildt,Omar
dc.subject.por.fl_str_mv Coffea canephora
Leaf dimension
Non-destructive method
topic Coffea canephora
Leaf dimension
Non-destructive method
description ABSTRACTThe evaluation of leaf area is required in several agronomic studies given their importance to assess the plant growth. The objective of this study was to use statistical models to estimate leaf area of five clonal varieties of coffee (Coffea canephora) from linear dimensions (length and width maximum). Were used in the studies five varieties of Coffea canephora Pierre ex Froehner: Emcapa 8111, Emcapa 8121 Emcapa 8131, Emcapa 8141 and at Incaper 8142. The results obtained in this study allow us to conclude that the linear model expresses the best estimate of leaf area. Among the different independent variables adopted, the product of length and greatest width (L.W) was found to be the greatest significance and higher coefficients of determination (R2). The regression equation that best expresses the estimated leaf area for the five clonal varieties is Ŷi = 0.6723 + 0.6779 xi, where xi represents the product of the greatest length and the greatest width of the leaves.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400740
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400740
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20150061
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.46 n.4 2015
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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