Non-destructive models for leaf area determination in canola

Detalhes bibliográficos
Autor(a) principal: Tartaglia,Francilene de L.
Data de Publicação: 2016
Outros Autores: Righi,Evandro Z., Rocha,Leidiana da, Loose,Luis H., Maldaner,Ivan C., Heldwein,Arno B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000600551
Resumo: ABSTRACT The leaf is a very important structure of the plants, since it allows gas exchanges and the transformation of light energy into chemical energy. This study aimed to generate and test mathematical models for leaf area estimation in canola based on leaf dimensions. Two experiments were conducted with canola in 2014, in which leaves were collected in different phenological stages with different sizes and shapes. Subsequently, leaf length, width and area were measured (with automatic meter) in 606 leaves, which included 371 ovate and 235 lanceolate leaves. The models were generated using length, width and length versus width as independent variables and leaf area as dependent variable. The models were validated using a group of leaves different from those used to generate the models. A total of 27 models were obtained and those with best statistics and higher simplicity were selected. The polynomial model LA = 0.88735 W2 + 0.93503 W and the power model LA = 1.1282 W1.9396 can be used for both types of leaves and have high accuracy in the estimation of canola leaf area.
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spelling Non-destructive models for leaf area determination in canolaBrassica napusovate leaveslanceolate leavesmodelingABSTRACT The leaf is a very important structure of the plants, since it allows gas exchanges and the transformation of light energy into chemical energy. This study aimed to generate and test mathematical models for leaf area estimation in canola based on leaf dimensions. Two experiments were conducted with canola in 2014, in which leaves were collected in different phenological stages with different sizes and shapes. Subsequently, leaf length, width and area were measured (with automatic meter) in 606 leaves, which included 371 ovate and 235 lanceolate leaves. The models were generated using length, width and length versus width as independent variables and leaf area as dependent variable. The models were validated using a group of leaves different from those used to generate the models. A total of 27 models were obtained and those with best statistics and higher simplicity were selected. The polynomial model LA = 0.88735 W2 + 0.93503 W and the power model LA = 1.1282 W1.9396 can be used for both types of leaves and have high accuracy in the estimation of canola leaf area.Departamento de Engenharia Agrícola - UFCG2016-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000600551Revista Brasileira de Engenharia Agrícola e Ambiental v.20 n.6 2016reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v20n6p551-556info:eu-repo/semantics/openAccessTartaglia,Francilene de L.Righi,Evandro Z.Rocha,Leidiana daLoose,Luis H.Maldaner,Ivan C.Heldwein,Arno B.eng2016-06-03T00:00:00Zoai:scielo:S1415-43662016000600551Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2016-06-03T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Non-destructive models for leaf area determination in canola
title Non-destructive models for leaf area determination in canola
spellingShingle Non-destructive models for leaf area determination in canola
Tartaglia,Francilene de L.
Brassica napus
ovate leaves
lanceolate leaves
modeling
title_short Non-destructive models for leaf area determination in canola
title_full Non-destructive models for leaf area determination in canola
title_fullStr Non-destructive models for leaf area determination in canola
title_full_unstemmed Non-destructive models for leaf area determination in canola
title_sort Non-destructive models for leaf area determination in canola
author Tartaglia,Francilene de L.
author_facet Tartaglia,Francilene de L.
Righi,Evandro Z.
Rocha,Leidiana da
Loose,Luis H.
Maldaner,Ivan C.
Heldwein,Arno B.
author_role author
author2 Righi,Evandro Z.
Rocha,Leidiana da
Loose,Luis H.
Maldaner,Ivan C.
Heldwein,Arno B.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Tartaglia,Francilene de L.
Righi,Evandro Z.
Rocha,Leidiana da
Loose,Luis H.
Maldaner,Ivan C.
Heldwein,Arno B.
dc.subject.por.fl_str_mv Brassica napus
ovate leaves
lanceolate leaves
modeling
topic Brassica napus
ovate leaves
lanceolate leaves
modeling
description ABSTRACT The leaf is a very important structure of the plants, since it allows gas exchanges and the transformation of light energy into chemical energy. This study aimed to generate and test mathematical models for leaf area estimation in canola based on leaf dimensions. Two experiments were conducted with canola in 2014, in which leaves were collected in different phenological stages with different sizes and shapes. Subsequently, leaf length, width and area were measured (with automatic meter) in 606 leaves, which included 371 ovate and 235 lanceolate leaves. The models were generated using length, width and length versus width as independent variables and leaf area as dependent variable. The models were validated using a group of leaves different from those used to generate the models. A total of 27 models were obtained and those with best statistics and higher simplicity were selected. The polynomial model LA = 0.88735 W2 + 0.93503 W and the power model LA = 1.1282 W1.9396 can be used for both types of leaves and have high accuracy in the estimation of canola leaf area.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000600551
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v20n6p551-556
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.20 n.6 2016
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
instacron:UFCG
instname_str Universidade Federal de Campina Grande (UFCG)
instacron_str UFCG
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
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repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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