Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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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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 |
|
_version_ |
1749140553503604736 |