Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension

Detalhes bibliográficos
Autor(a) principal: Partelli,Fábio Luiz
Data de Publicação: 2007
Outros Autores: Vieira,Henrique Duarte, Viana,Alexandre Pio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782007000500039
Resumo: This research was aimed at establishing regression equations to estimate black pepper (Piper nigrum) leaf area based on linear leaf measures. Different black pepper varieties where growth on the field, four different size leaves were collected per plant with a total of 52 leaves to establish the regression equation and 28 to validate the equation for each variety (Bragantina, Laçará, Guajarina e Cingapura). Leaf midrib length (LML), maximum leaf broad width (MLBW) and leaf area (LA) were measured. Pearson's linear correlation coefficients were determined between observed and predicted measures with the observed LA, besides estimating the linear regression equation for each variety. The equations best-fitted to estimate LA based on circumscript rectangle were: 1) LA = 2.2689 + 0.6900 x LML x MLBW; 2) LA = 1.6402 + 0.6816 x LML x MLBW; 3) LA = 1.4942 + 0.6215 x LML x MLBW and 4) LA = 0.7467 + 0.6735 x LML x MLBW, for Bragantina, Laçará, Guajarina and Cingapura varieties respectively. For all equations predicted values had high correlation coefficient with observed values thus showing that these equations must be variety specific and that they are appropriate for black pepper leaf area estimative.
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spelling Estimative of Black Pepper leaf area with basis on the leaf blade linear dimensionPiper nigrummorphologic charactersleaf length and widthcircumscript rectangleThis research was aimed at establishing regression equations to estimate black pepper (Piper nigrum) leaf area based on linear leaf measures. Different black pepper varieties where growth on the field, four different size leaves were collected per plant with a total of 52 leaves to establish the regression equation and 28 to validate the equation for each variety (Bragantina, Laçará, Guajarina e Cingapura). Leaf midrib length (LML), maximum leaf broad width (MLBW) and leaf area (LA) were measured. Pearson's linear correlation coefficients were determined between observed and predicted measures with the observed LA, besides estimating the linear regression equation for each variety. The equations best-fitted to estimate LA based on circumscript rectangle were: 1) LA = 2.2689 + 0.6900 x LML x MLBW; 2) LA = 1.6402 + 0.6816 x LML x MLBW; 3) LA = 1.4942 + 0.6215 x LML x MLBW and 4) LA = 0.7467 + 0.6735 x LML x MLBW, for Bragantina, Laçará, Guajarina and Cingapura varieties respectively. For all equations predicted values had high correlation coefficient with observed values thus showing that these equations must be variety specific and that they are appropriate for black pepper leaf area estimative.Universidade Federal de Santa Maria2007-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782007000500039Ciência Rural v.37 n.5 2007reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/S0103-84782007000500039info:eu-repo/semantics/openAccessPartelli,Fábio LuizVieira,Henrique DuarteViana,Alexandre Pioeng2007-08-24T00:00:00ZRevista
dc.title.none.fl_str_mv Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension
title Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension
spellingShingle Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension
Partelli,Fábio Luiz
Piper nigrum
morphologic characters
leaf length and width
circumscript rectangle
title_short Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension
title_full Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension
title_fullStr Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension
title_full_unstemmed Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension
title_sort Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension
author Partelli,Fábio Luiz
author_facet Partelli,Fábio Luiz
Vieira,Henrique Duarte
Viana,Alexandre Pio
author_role author
author2 Vieira,Henrique Duarte
Viana,Alexandre Pio
author2_role author
author
dc.contributor.author.fl_str_mv Partelli,Fábio Luiz
Vieira,Henrique Duarte
Viana,Alexandre Pio
dc.subject.por.fl_str_mv Piper nigrum
morphologic characters
leaf length and width
circumscript rectangle
topic Piper nigrum
morphologic characters
leaf length and width
circumscript rectangle
description This research was aimed at establishing regression equations to estimate black pepper (Piper nigrum) leaf area based on linear leaf measures. Different black pepper varieties where growth on the field, four different size leaves were collected per plant with a total of 52 leaves to establish the regression equation and 28 to validate the equation for each variety (Bragantina, Laçará, Guajarina e Cingapura). Leaf midrib length (LML), maximum leaf broad width (MLBW) and leaf area (LA) were measured. Pearson's linear correlation coefficients were determined between observed and predicted measures with the observed LA, besides estimating the linear regression equation for each variety. The equations best-fitted to estimate LA based on circumscript rectangle were: 1) LA = 2.2689 + 0.6900 x LML x MLBW; 2) LA = 1.6402 + 0.6816 x LML x MLBW; 3) LA = 1.4942 + 0.6215 x LML x MLBW and 4) LA = 0.7467 + 0.6735 x LML x MLBW, for Bragantina, Laçará, Guajarina and Cingapura varieties respectively. For all equations predicted values had high correlation coefficient with observed values thus showing that these equations must be variety specific and that they are appropriate for black pepper leaf area estimative.
publishDate 2007
dc.date.none.fl_str_mv 2007-10-01
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=S0103-84782007000500039
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782007000500039
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-84782007000500039
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 de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.37 n.5 2007
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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