Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
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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Ciência rural (Online) |
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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 |
|
_version_ |
1749140529346510848 |