Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions

Detalhes bibliográficos
Autor(a) principal: Toebe,Marcos
Data de Publicação: 2019
Outros Autores: Souza,Rafael Rodrigues de, Mello,Anderson Chuquel, Melo,Patrícia Jesus de, Segatto,Alexandre, Castanha,Ana Carla
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400203
Resumo: ABSTRACT: The objectives of this work were estimate the leaf area of squash ‘Brasileirinha’ by linear dimensions of the leaves and check models available in the literature. An experiment was conducted in the 2015/16 sowing season. Were collected 500 leaves and in each one, were measured the length (L), width (W) and length×width product (LW) and determined the real leaf area (LA). Then, 400 leaves were separated to generate models of the leaf area (LA) as a function of linear dimension (L, W or LW) of squash. The remaining 100 leaves were used for the validation of models. A second experiment was conducted in the 2016/17 sowing season. Were collected 250 leaves, used only for the validation of the models of the first experiment. There is collinearity between L and W and, therefore, models using the LW product are not recommended. The model LA=0.5482W2 + 0.0680W (R²=0.9867) is adequate for leaf area estimation of squash ‘Brasileirinha’.
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spelling Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensionsCucurbita moschataimage processingnon-destructive methodmathematical modelsABSTRACT: The objectives of this work were estimate the leaf area of squash ‘Brasileirinha’ by linear dimensions of the leaves and check models available in the literature. An experiment was conducted in the 2015/16 sowing season. Were collected 500 leaves and in each one, were measured the length (L), width (W) and length×width product (LW) and determined the real leaf area (LA). Then, 400 leaves were separated to generate models of the leaf area (LA) as a function of linear dimension (L, W or LW) of squash. The remaining 100 leaves were used for the validation of models. A second experiment was conducted in the 2016/17 sowing season. Were collected 250 leaves, used only for the validation of the models of the first experiment. There is collinearity between L and W and, therefore, models using the LW product are not recommended. The model LA=0.5482W2 + 0.0680W (R²=0.9867) is adequate for leaf area estimation of squash ‘Brasileirinha’.Universidade Federal de Santa Maria2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400203Ciência Rural v.49 n.4 2019reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20180932info:eu-repo/semantics/openAccessToebe,MarcosSouza,Rafael Rodrigues deMello,Anderson ChuquelMelo,Patrícia Jesus deSegatto,AlexandreCastanha,Ana Carlaeng2019-04-08T00:00:00ZRevista
dc.title.none.fl_str_mv Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions
title Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions
spellingShingle Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions
Toebe,Marcos
Cucurbita moschata
image processing
non-destructive method
mathematical models
title_short Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions
title_full Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions
title_fullStr Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions
title_full_unstemmed Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions
title_sort Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions
author Toebe,Marcos
author_facet Toebe,Marcos
Souza,Rafael Rodrigues de
Mello,Anderson Chuquel
Melo,Patrícia Jesus de
Segatto,Alexandre
Castanha,Ana Carla
author_role author
author2 Souza,Rafael Rodrigues de
Mello,Anderson Chuquel
Melo,Patrícia Jesus de
Segatto,Alexandre
Castanha,Ana Carla
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Toebe,Marcos
Souza,Rafael Rodrigues de
Mello,Anderson Chuquel
Melo,Patrícia Jesus de
Segatto,Alexandre
Castanha,Ana Carla
dc.subject.por.fl_str_mv Cucurbita moschata
image processing
non-destructive method
mathematical models
topic Cucurbita moschata
image processing
non-destructive method
mathematical models
description ABSTRACT: The objectives of this work were estimate the leaf area of squash ‘Brasileirinha’ by linear dimensions of the leaves and check models available in the literature. An experiment was conducted in the 2015/16 sowing season. Were collected 500 leaves and in each one, were measured the length (L), width (W) and length×width product (LW) and determined the real leaf area (LA). Then, 400 leaves were separated to generate models of the leaf area (LA) as a function of linear dimension (L, W or LW) of squash. The remaining 100 leaves were used for the validation of models. A second experiment was conducted in the 2016/17 sowing season. Were collected 250 leaves, used only for the validation of the models of the first experiment. There is collinearity between L and W and, therefore, models using the LW product are not recommended. The model LA=0.5482W2 + 0.0680W (R²=0.9867) is adequate for leaf area estimation of squash ‘Brasileirinha’.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
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=S0103-84782019000400203
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400203
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20180932
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.49 n.4 2019
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
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