Estimating leaf area of prata-type banana plants with lanceolate type leaves
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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. |
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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 |