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...
| Autores: | , , |
|---|---|
| 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. |
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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 |
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Universidad Nacional Agraria La Molina |
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UNALM |
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UNALM |
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Revistas - Universidad Nacional Agraria La Molina |
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Revistas - Universidad Nacional Agraria La Molina |
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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).
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).