Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000100020 |
Resumo: | Leaf area estimation is an important biometrical trait for evaluating leaf development and plant growth in field and pot experiments. We developed a non-destructive model to estimate the leaf area (LA) of Vernonia ferruginea using the length (L) and width (W) leaf dimensions. Different combinations of linear equations were obtained from L, L2, W, W2, LW and L2W2. The linear regressions using the product of LW dimensions were more efficient to estimate the LA of V. ferruginea than models based on a single dimension (L, W, L2 or W2). Therefore, the linear regression “LA=0.463+0.676WL” provided the most accurate estimate of V. ferruginea leaf area. Validation of the selected model showed that the correlation between real measured leaf area and estimated leaf area was very high. |
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Brazilian Journal of Biology |
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Non-destructive linear model for leaf area estimation in Vernonia ferruginea LessAsteraceaecerradosavannastatistical modelvalidationLeaf area estimation is an important biometrical trait for evaluating leaf development and plant growth in field and pot experiments. We developed a non-destructive model to estimate the leaf area (LA) of Vernonia ferruginea using the length (L) and width (W) leaf dimensions. Different combinations of linear equations were obtained from L, L2, W, W2, LW and L2W2. The linear regressions using the product of LW dimensions were more efficient to estimate the LA of V. ferruginea than models based on a single dimension (L, W, L2 or W2). Therefore, the linear regression “LA=0.463+0.676WL” provided the most accurate estimate of V. ferruginea leaf area. Validation of the selected model showed that the correlation between real measured leaf area and estimated leaf area was very high.Instituto Internacional de Ecologia2015-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000100020Brazilian Journal of Biology v.75 n.1 2015reponame:Brazilian Journal of Biologyinstname:Instituto Internacional de Ecologia (IIE)instacron:IIE10.1590/1519-6984.09813info:eu-repo/semantics/openAccessSouza,MC.Amaral,CL.eng2015-04-27T00:00:00Zoai:scielo:S1519-69842015000100020Revistahttps://www.scielo.br/j/bjb/https://old.scielo.br/oai/scielo-oai.phpbjb@bjb.com.br||bjb@bjb.com.br1678-43751519-6984opendoar:2015-04-27T00:00Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE)false |
dc.title.none.fl_str_mv |
Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less |
title |
Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less |
spellingShingle |
Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less Souza,MC. Asteraceae cerrado savanna statistical model validation |
title_short |
Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less |
title_full |
Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less |
title_fullStr |
Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less |
title_full_unstemmed |
Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less |
title_sort |
Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less |
author |
Souza,MC. |
author_facet |
Souza,MC. Amaral,CL. |
author_role |
author |
author2 |
Amaral,CL. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Souza,MC. Amaral,CL. |
dc.subject.por.fl_str_mv |
Asteraceae cerrado savanna statistical model validation |
topic |
Asteraceae cerrado savanna statistical model validation |
description |
Leaf area estimation is an important biometrical trait for evaluating leaf development and plant growth in field and pot experiments. We developed a non-destructive model to estimate the leaf area (LA) of Vernonia ferruginea using the length (L) and width (W) leaf dimensions. Different combinations of linear equations were obtained from L, L2, W, W2, LW and L2W2. The linear regressions using the product of LW dimensions were more efficient to estimate the LA of V. ferruginea than models based on a single dimension (L, W, L2 or W2). Therefore, the linear regression “LA=0.463+0.676WL” provided the most accurate estimate of V. ferruginea leaf area. Validation of the selected model showed that the correlation between real measured leaf area and estimated leaf area was very high. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-03-01 |
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=S1519-69842015000100020 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000100020 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1519-6984.09813 |
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 |
Instituto Internacional de Ecologia |
publisher.none.fl_str_mv |
Instituto Internacional de Ecologia |
dc.source.none.fl_str_mv |
Brazilian Journal of Biology v.75 n.1 2015 reponame:Brazilian Journal of Biology instname:Instituto Internacional de Ecologia (IIE) instacron:IIE |
instname_str |
Instituto Internacional de Ecologia (IIE) |
instacron_str |
IIE |
institution |
IIE |
reponame_str |
Brazilian Journal of Biology |
collection |
Brazilian Journal of Biology |
repository.name.fl_str_mv |
Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE) |
repository.mail.fl_str_mv |
bjb@bjb.com.br||bjb@bjb.com.br |
_version_ |
1752129880835751936 |