Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)

Descripción del Articulo

We aimed to propose a reliable and accurate model using non-destructive measurements of leaf length (L) and/or width (W) for estimating leaf area (LA) of Surinam cherry (Eugenia uniflora L.). For model construction, 560 leaves were randomly sampled from different levels of the tree canopies and enco...

Descripción completa

Detalles Bibliográficos
Autores: Pommpelli, M. F., Figueirôa, J. M., Lozano-Isla, F.
Formato: artículo
Fecha de Publicación:2018
Institución:Universidad Nacional Agraria La Molina
Repositorio:Revistas - Universidad Nacional Agraria La Molina
Lenguaje:inglés
OAI Identifier:oai:revistas.lamolina.edu.pe:article/1133
Enlace del recurso:https://revistas.lamolina.edu.pe/index.php/jpagronomy/article/view/1133
Nivel de acceso:acceso abierto
Materia:Surinam cherry
estimate model
leaf length
leaf width.
id REVUNALM_3f4d84deb5fece6f4528ce6e7fd3aeb4
oai_identifier_str oai:revistas.lamolina.edu.pe:article/1133
network_acronym_str REVUNALM
network_name_str Revistas - Universidad Nacional Agraria La Molina
repository_id_str
spelling Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)Pommpelli, M. F.Figueirôa, J. M.Lozano-Isla, F.Surinam cherryestimate modelleaf lengthleaf width.We aimed to propose a reliable and accurate model using non-destructive measurements of leaf length (L) and/or width (W) for estimating leaf area (LA) of Surinam cherry (Eugenia uniflora L.). For model construction, 560 leaves were randomly sampled from different levels of the tree canopies and encompassed the full spectrum of measurable leaf sizes. Power models better fit E. uniflora leaf area than linear models; but, among of then, the best fit were made when product of the L and W (LW) were used. To validate these models, independent data set of 156 leaves were used. Thus, we developed a single power model (Yi = β0 xβ1) [LA = 0.685 (LW)0.989; standard errors: β0 = 0.014, β1 = 0.005; R2 a = 0.997] with high precision and accuracy, random dispersal pattern of residuals and unbiased. A simpler linear model [LA = 0.094 + (LW * 0.655); standard errors: β0 = 0.025, β 1 = 0.001; R2 a = 0.998] also described here to estimate leaf area of E. uniflora, which are as good as the first. The simplicity of the latter model may be relevant in field studies, as it does not demand high precision or expensive instruments.Universidad Nacional Agraria La Molina2018-06-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.lamolina.edu.pe/index.php/jpagronomy/article/view/113310.21704/pja.v2i2.1133Peruvian Journal of Agronomy; Vol. 2 No. 2 (2018): May to August; 1-5Peruvian Journal of Agronomy; Vol. 2 Núm. 2 (2018): May to August; 1-52616-4477reponame:Revistas - Universidad Nacional Agraria La Molinainstname:Universidad Nacional Agraria La Molinainstacron:UNALMenghttps://revistas.lamolina.edu.pe/index.php/jpagronomy/article/view/1133/pdf_7Derechos de autor 2018 M. F. Pommpelli, J. M. Figueiroa, F. Lozano-Islainfo:eu-repo/semantics/openAccessoai:revistas.lamolina.edu.pe:article/11332025-04-23T16:55:46Z
dc.title.none.fl_str_mv Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)
title Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)
spellingShingle Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)
Pommpelli, M. F.
Surinam cherry
estimate model
leaf length
leaf width.
title_short Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)
title_full Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)
title_fullStr Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)
title_full_unstemmed Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)
title_sort Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)
dc.creator.none.fl_str_mv Pommpelli, M. F.
Figueirôa, J. M.
Lozano-Isla, F.
author Pommpelli, M. F.
author_facet Pommpelli, M. F.
Figueirôa, J. M.
Lozano-Isla, F.
author_role author
author2 Figueirôa, J. M.
Lozano-Isla, F.
author2_role author
author
dc.subject.none.fl_str_mv Surinam cherry
estimate model
leaf length
leaf width.
topic Surinam cherry
estimate model
leaf length
leaf width.
description We aimed to propose a reliable and accurate model using non-destructive measurements of leaf length (L) and/or width (W) for estimating leaf area (LA) of Surinam cherry (Eugenia uniflora L.). For model construction, 560 leaves were randomly sampled from different levels of the tree canopies and encompassed the full spectrum of measurable leaf sizes. Power models better fit E. uniflora leaf area than linear models; but, among of then, the best fit were made when product of the L and W (LW) were used. To validate these models, independent data set of 156 leaves were used. Thus, we developed a single power model (Yi = β0 xβ1) [LA = 0.685 (LW)0.989; standard errors: β0 = 0.014, β1 = 0.005; R2 a = 0.997] with high precision and accuracy, random dispersal pattern of residuals and unbiased. A simpler linear model [LA = 0.094 + (LW * 0.655); standard errors: β0 = 0.025, β 1 = 0.001; R2 a = 0.998] also described here to estimate leaf area of E. uniflora, which are as good as the first. The simplicity of the latter model may be relevant in field studies, as it does not demand high precision or expensive instruments.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-14
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.lamolina.edu.pe/index.php/jpagronomy/article/view/1133
10.21704/pja.v2i2.1133
url https://revistas.lamolina.edu.pe/index.php/jpagronomy/article/view/1133
identifier_str_mv 10.21704/pja.v2i2.1133
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.lamolina.edu.pe/index.php/jpagronomy/article/view/1133/pdf_7
dc.rights.none.fl_str_mv Derechos de autor 2018 M. F. Pommpelli, J. M. Figueiroa, F. Lozano-Isla
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2018 M. F. Pommpelli, J. M. Figueiroa, F. Lozano-Isla
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Agraria La Molina
publisher.none.fl_str_mv Universidad Nacional Agraria La Molina
dc.source.none.fl_str_mv Peruvian Journal of Agronomy; Vol. 2 No. 2 (2018): May to August; 1-5
Peruvian Journal of Agronomy; Vol. 2 Núm. 2 (2018): May to August; 1-5
2616-4477
reponame:Revistas - Universidad Nacional Agraria La Molina
instname:Universidad Nacional Agraria La Molina
instacron:UNALM
instname_str Universidad Nacional Agraria La Molina
instacron_str UNALM
institution UNALM
reponame_str Revistas - Universidad Nacional Agraria La Molina
collection Revistas - Universidad Nacional Agraria La Molina
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1846429227313790976
score 13.0768795
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).