NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREA
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S0100-83582017350100088 http://hdl.handle.net/11449/160010 |
Resumo: | Leaf length (L), leaf width (W), and leaf area (LA) were measured from 100 leaves aiming to determine a simple linear equation (Y=a*X) to predict the leaf area of Commelina diffusa, an important weed infesting annual and perennial crops in Brazil and worldwide. Results indicate the equation LA=0.7*LW reliably estimates the leaf area of C. diffusa, after correlating LA with LW, and then validating that equation by analyzing four new 25-leaf samples. |
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Repositório Institucional da UNESP |
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2946 |
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NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREAplant growthbiometrynon-destructive methodmathematical modelclimbing dayflowerLeaf length (L), leaf width (W), and leaf area (LA) were measured from 100 leaves aiming to determine a simple linear equation (Y=a*X) to predict the leaf area of Commelina diffusa, an important weed infesting annual and perennial crops in Brazil and worldwide. Results indicate the equation LA=0.7*LW reliably estimates the leaf area of C. diffusa, after correlating LA with LW, and then validating that equation by analyzing four new 25-leaf samples.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estadual Paulista, Jaboticabal, SP, BrazilUniv Estado Santa Catarina, Lages, SC, BrazilUniv Estadual Paulista, Jaboticabal, SP, BrazilCNPq: 304855/2015-4Univ Federal VicosaUniversidade Estadual Paulista (Unesp)Univ Estado Santa CatarinaCarvalho, L. B. [UNESP]Alves, E. A.Bianco, S. [UNESP]2018-11-26T15:46:07Z2018-11-26T15:46:07Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article5application/pdfhttp://dx.doi.org/10.1590/S0100-83582017350100088Planta Daninha. Vicosa: Univ Federal Vicosa, v. 35, 5 p., 2017.0100-8358http://hdl.handle.net/11449/16001010.1590/S0100-83582017350100088S0100-83582017000100286WOS:000419766700001S0100-83582017000100286.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPlanta Daninha0,365info:eu-repo/semantics/openAccess2023-12-06T06:19:42Zoai:repositorio.unesp.br:11449/160010Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:38:23.561968Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREA |
title |
NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREA |
spellingShingle |
NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREA Carvalho, L. B. [UNESP] plant growth biometry non-destructive method mathematical model climbing dayflower |
title_short |
NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREA |
title_full |
NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREA |
title_fullStr |
NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREA |
title_full_unstemmed |
NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREA |
title_sort |
NON-DESTRUCTIVE MODEL TO PREDICT Commelina diffusa LEAF AREA |
author |
Carvalho, L. B. [UNESP] |
author_facet |
Carvalho, L. B. [UNESP] Alves, E. A. Bianco, S. [UNESP] |
author_role |
author |
author2 |
Alves, E. A. Bianco, S. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Univ Estado Santa Catarina |
dc.contributor.author.fl_str_mv |
Carvalho, L. B. [UNESP] Alves, E. A. Bianco, S. [UNESP] |
dc.subject.por.fl_str_mv |
plant growth biometry non-destructive method mathematical model climbing dayflower |
topic |
plant growth biometry non-destructive method mathematical model climbing dayflower |
description |
Leaf length (L), leaf width (W), and leaf area (LA) were measured from 100 leaves aiming to determine a simple linear equation (Y=a*X) to predict the leaf area of Commelina diffusa, an important weed infesting annual and perennial crops in Brazil and worldwide. Results indicate the equation LA=0.7*LW reliably estimates the leaf area of C. diffusa, after correlating LA with LW, and then validating that equation by analyzing four new 25-leaf samples. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 2018-11-26T15:46:07Z 2018-11-26T15:46:07Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/S0100-83582017350100088 Planta Daninha. Vicosa: Univ Federal Vicosa, v. 35, 5 p., 2017. 0100-8358 http://hdl.handle.net/11449/160010 10.1590/S0100-83582017350100088 S0100-83582017000100286 WOS:000419766700001 S0100-83582017000100286.pdf |
url |
http://dx.doi.org/10.1590/S0100-83582017350100088 http://hdl.handle.net/11449/160010 |
identifier_str_mv |
Planta Daninha. Vicosa: Univ Federal Vicosa, v. 35, 5 p., 2017. 0100-8358 10.1590/S0100-83582017350100088 S0100-83582017000100286 WOS:000419766700001 S0100-83582017000100286.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Planta Daninha 0,365 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
5 application/pdf |
dc.publisher.none.fl_str_mv |
Univ Federal Vicosa |
publisher.none.fl_str_mv |
Univ Federal Vicosa |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129099422498816 |