Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis

Detalhes bibliográficos
Autor(a) principal: Hernández-Fernandéz,Israel A
Data de Publicação: 2021
Outros Autores: Jarma-Orozco,Alfredo, Pompelli,Marcelo F
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Horticultura Brasileira
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362021000200205
Resumo: ABSTRACT Leaf area measurement is pivotal for plant physiologists. Hence, accurate measurement of their leaf area is incredibly relevant in agronomic terms. The plant Stevia rebaudiana is a sucrose-free plant species that is now vital to the global production of sucrose-free foods. Here, we estimated S. rebaudiana leaf area using a nondestructive methodology comprising allometric equations. Through leaf length (L), leaf width (W), and/or their product (LW) the leaf area was determined. One thousand leaves were sampled from four distinct S. rebaudiana genotypes for model construction. Linear or power models were generated, and the best equation was selected using a statistical criterion. The statistical criteria indicated that the linear models best suited all genotypes tested, included a function of LW, exhibited increased stability, and precisely estimated coefficients. ANOVA revealed that both generalized and combined equations were feasible. Nevertheless, grouping all genotypes into a single model was not possible as the genotype leaf architectures were very dissimilar.
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spelling Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysisStevia rebaudianageneral allometric modelleaf area estimationlinear and power modelsmorphological leaf traitsstatistical analysisABSTRACT Leaf area measurement is pivotal for plant physiologists. Hence, accurate measurement of their leaf area is incredibly relevant in agronomic terms. The plant Stevia rebaudiana is a sucrose-free plant species that is now vital to the global production of sucrose-free foods. Here, we estimated S. rebaudiana leaf area using a nondestructive methodology comprising allometric equations. Through leaf length (L), leaf width (W), and/or their product (LW) the leaf area was determined. One thousand leaves were sampled from four distinct S. rebaudiana genotypes for model construction. Linear or power models were generated, and the best equation was selected using a statistical criterion. The statistical criteria indicated that the linear models best suited all genotypes tested, included a function of LW, exhibited increased stability, and precisely estimated coefficients. ANOVA revealed that both generalized and combined equations were feasible. Nevertheless, grouping all genotypes into a single model was not possible as the genotype leaf architectures were very dissimilar.Associação Brasileira de Horticultura2021-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362021000200205Horticultura Brasileira v.39 n.2 2021reponame:Horticultura Brasileirainstname:Associação Brasileira de Horticultura (ABH)instacron:ABH10.1590/s0102-0536-20210212info:eu-repo/semantics/openAccessHernández-Fernandéz,Israel AJarma-Orozco,AlfredoPompelli,Marcelo Feng2021-07-01T00:00:00Zoai:scielo:S0102-05362021000200205Revistahttp://cms.horticulturabrasileira.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||hortbras@gmail.com1806-99910102-0536opendoar:2021-07-01T00:00Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)false
dc.title.none.fl_str_mv Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis
title Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis
spellingShingle Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis
Hernández-Fernandéz,Israel A
Stevia rebaudiana
general allometric model
leaf area estimation
linear and power models
morphological leaf traits
statistical analysis
title_short Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis
title_full Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis
title_fullStr Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis
title_full_unstemmed Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis
title_sort Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis
author Hernández-Fernandéz,Israel A
author_facet Hernández-Fernandéz,Israel A
Jarma-Orozco,Alfredo
Pompelli,Marcelo F
author_role author
author2 Jarma-Orozco,Alfredo
Pompelli,Marcelo F
author2_role author
author
dc.contributor.author.fl_str_mv Hernández-Fernandéz,Israel A
Jarma-Orozco,Alfredo
Pompelli,Marcelo F
dc.subject.por.fl_str_mv Stevia rebaudiana
general allometric model
leaf area estimation
linear and power models
morphological leaf traits
statistical analysis
topic Stevia rebaudiana
general allometric model
leaf area estimation
linear and power models
morphological leaf traits
statistical analysis
description ABSTRACT Leaf area measurement is pivotal for plant physiologists. Hence, accurate measurement of their leaf area is incredibly relevant in agronomic terms. The plant Stevia rebaudiana is a sucrose-free plant species that is now vital to the global production of sucrose-free foods. Here, we estimated S. rebaudiana leaf area using a nondestructive methodology comprising allometric equations. Through leaf length (L), leaf width (W), and/or their product (LW) the leaf area was determined. One thousand leaves were sampled from four distinct S. rebaudiana genotypes for model construction. Linear or power models were generated, and the best equation was selected using a statistical criterion. The statistical criteria indicated that the linear models best suited all genotypes tested, included a function of LW, exhibited increased stability, and precisely estimated coefficients. ANOVA revealed that both generalized and combined equations were feasible. Nevertheless, grouping all genotypes into a single model was not possible as the genotype leaf architectures were very dissimilar.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362021000200205
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s0102-0536-20210212
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dc.publisher.none.fl_str_mv Associação Brasileira de Horticultura
publisher.none.fl_str_mv Associação Brasileira de Horticultura
dc.source.none.fl_str_mv Horticultura Brasileira v.39 n.2 2021
reponame:Horticultura Brasileira
instname:Associação Brasileira de Horticultura (ABH)
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instname_str Associação Brasileira de Horticultura (ABH)
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repository.name.fl_str_mv Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)
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