Estimating leaf area of prata-type banana plants with lanceolate type leaves

Detalhes bibliográficos
Autor(a) principal: Donato,Lucas Titonelli Ferreira
Data de Publicação: 2020
Outros Autores: Donato,Sérgio Luiz Rodrigues, Brito,Cleiton Fernando Barbosa, Fonseca,Varley Andrade, Gomes,Carlos Nick, Rodrigues Filho,Vagner Alves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de fruticultura (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452020000400201
Resumo: Abstract Models for estimating leaf area of bananas found in the literature are not suitable for lanceolate type leaves occurring at the vegetative stage of ratoon suckers dependent of mother plant. The objective was to determine equations for estimating the leaf area of ‘Prata-Anã’ and ‘BRS Platina’ banana plants with lanceolate type leaves. 212 and 164 lanceolate type leaves having 10 cm-wide lamina or less were collected from ‘Prata-Anã’ and ‘BRS Platina’ banana plants of 90 days of age or less, respectively. Width (W), length (L), width/length ratio (WLR), and scanner-measured leaf area (LAscanner) were determined. Using the backward elimination procedure, simple and multiple linear regression equations were fitted to the relationship between leaf dimensions (W, L and WLR) and LAscanner. To evaluate how precise the equations are in predicting leaf area (LApredicted), Pearson correlation coefficients were calculated between LA and LApredictedscanner. The models highly correlated with LAscanner at 1% of significance level. The models are and LALL() = Prata-Anã = - 0,0133624 + 0,000489859**L - 0,00183182 **W and LALL(Platina) 0,00237026 + 0,004781**W - 0,096802** WLR.
id SBFRU-1_abfe3c6c8c173b8982fa2f6f86efce55
oai_identifier_str oai:scielo:S0100-29452020000400201
network_acronym_str SBFRU-1
network_name_str Revista brasileira de fruticultura (Online)
repository_id_str
spelling Estimating leaf area of prata-type banana plants with lanceolate type leavesYoung bananasmultiple linear regressionnarrow leavesAbstract Models for estimating leaf area of bananas found in the literature are not suitable for lanceolate type leaves occurring at the vegetative stage of ratoon suckers dependent of mother plant. The objective was to determine equations for estimating the leaf area of ‘Prata-Anã’ and ‘BRS Platina’ banana plants with lanceolate type leaves. 212 and 164 lanceolate type leaves having 10 cm-wide lamina or less were collected from ‘Prata-Anã’ and ‘BRS Platina’ banana plants of 90 days of age or less, respectively. Width (W), length (L), width/length ratio (WLR), and scanner-measured leaf area (LAscanner) were determined. Using the backward elimination procedure, simple and multiple linear regression equations were fitted to the relationship between leaf dimensions (W, L and WLR) and LAscanner. To evaluate how precise the equations are in predicting leaf area (LApredicted), Pearson correlation coefficients were calculated between LA and LApredictedscanner. The models highly correlated with LAscanner at 1% of significance level. The models are and LALL() = Prata-Anã = - 0,0133624 + 0,000489859**L - 0,00183182 **W and LALL(Platina) 0,00237026 + 0,004781**W - 0,096802** WLR.Sociedade Brasileira de Fruticultura2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452020000400201Revista Brasileira de Fruticultura v.42 n.4 2020reponame:Revista brasileira de fruticultura (Online)instname:Sociedade Brasileira de Fruticultura (SBF)instacron:SBFRU10.1590/0100-29452020417info:eu-repo/semantics/openAccessDonato,Lucas Titonelli FerreiraDonato,Sérgio Luiz RodriguesBrito,Cleiton Fernando BarbosaFonseca,Varley AndradeGomes,Carlos NickRodrigues Filho,Vagner Alveseng2020-07-02T00:00:00Zoai:scielo:S0100-29452020000400201Revistahttp://www.scielo.br/rbfhttps://old.scielo.br/oai/scielo-oai.phprbf@fcav.unesp.br||http://rbf.org.br/1806-99670100-2945opendoar:2020-07-02T00:00Revista brasileira de fruticultura (Online) - Sociedade Brasileira de Fruticultura (SBF)false
dc.title.none.fl_str_mv Estimating leaf area of prata-type banana plants with lanceolate type leaves
title Estimating leaf area of prata-type banana plants with lanceolate type leaves
spellingShingle Estimating leaf area of prata-type banana plants with lanceolate type leaves
Donato,Lucas Titonelli Ferreira
Young bananas
multiple linear regression
narrow leaves
title_short Estimating leaf area of prata-type banana plants with lanceolate type leaves
title_full Estimating leaf area of prata-type banana plants with lanceolate type leaves
title_fullStr Estimating leaf area of prata-type banana plants with lanceolate type leaves
title_full_unstemmed Estimating leaf area of prata-type banana plants with lanceolate type leaves
title_sort Estimating leaf area of prata-type banana plants with lanceolate type leaves
author Donato,Lucas Titonelli Ferreira
author_facet Donato,Lucas Titonelli Ferreira
Donato,Sérgio Luiz Rodrigues
Brito,Cleiton Fernando Barbosa
Fonseca,Varley Andrade
Gomes,Carlos Nick
Rodrigues Filho,Vagner Alves
author_role author
author2 Donato,Sérgio Luiz Rodrigues
Brito,Cleiton Fernando Barbosa
Fonseca,Varley Andrade
Gomes,Carlos Nick
Rodrigues Filho,Vagner Alves
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Donato,Lucas Titonelli Ferreira
Donato,Sérgio Luiz Rodrigues
Brito,Cleiton Fernando Barbosa
Fonseca,Varley Andrade
Gomes,Carlos Nick
Rodrigues Filho,Vagner Alves
dc.subject.por.fl_str_mv Young bananas
multiple linear regression
narrow leaves
topic Young bananas
multiple linear regression
narrow leaves
description Abstract Models for estimating leaf area of bananas found in the literature are not suitable for lanceolate type leaves occurring at the vegetative stage of ratoon suckers dependent of mother plant. The objective was to determine equations for estimating the leaf area of ‘Prata-Anã’ and ‘BRS Platina’ banana plants with lanceolate type leaves. 212 and 164 lanceolate type leaves having 10 cm-wide lamina or less were collected from ‘Prata-Anã’ and ‘BRS Platina’ banana plants of 90 days of age or less, respectively. Width (W), length (L), width/length ratio (WLR), and scanner-measured leaf area (LAscanner) were determined. Using the backward elimination procedure, simple and multiple linear regression equations were fitted to the relationship between leaf dimensions (W, L and WLR) and LAscanner. To evaluate how precise the equations are in predicting leaf area (LApredicted), Pearson correlation coefficients were calculated between LA and LApredictedscanner. The models highly correlated with LAscanner at 1% of significance level. The models are and LALL() = Prata-Anã = - 0,0133624 + 0,000489859**L - 0,00183182 **W and LALL(Platina) 0,00237026 + 0,004781**W - 0,096802** WLR.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S0100-29452020000400201
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452020000400201
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0100-29452020417
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 Sociedade Brasileira de Fruticultura
publisher.none.fl_str_mv Sociedade Brasileira de Fruticultura
dc.source.none.fl_str_mv Revista Brasileira de Fruticultura v.42 n.4 2020
reponame:Revista brasileira de fruticultura (Online)
instname:Sociedade Brasileira de Fruticultura (SBF)
instacron:SBFRU
instname_str Sociedade Brasileira de Fruticultura (SBF)
instacron_str SBFRU
institution SBFRU
reponame_str Revista brasileira de fruticultura (Online)
collection Revista brasileira de fruticultura (Online)
repository.name.fl_str_mv Revista brasileira de fruticultura (Online) - Sociedade Brasileira de Fruticultura (SBF)
repository.mail.fl_str_mv rbf@fcav.unesp.br||http://rbf.org.br/
_version_ 1752122496059965440