Leaf area estimation of cassava from linear dimensions
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/10.1590/0001-376520172016-0475 http://hdl.handle.net/11449/175264 |
Resumo: | The objective of this study was to determine predictor models of leaf area of cassava from linear leaf measurements. The experiment was carried out in greenhouse in the municipality of Botucatu, São Paulo state, Brazil. The stem cuttings with 5-7 nodes of the cultivar IAC 576-70 were planted in boxes filled with about 320 liters of soil, keeping soil moisture at field capacity, monitored by puncturing tensiometers. At 80 days after planting, 140 leaves were randomly collected from the top, middle third and base of cassava plants. We evaluated the length and width of the central lobe of leaves, number of lobes and leaf area. The measurements of leaf areas were correlated with the length and width of the central lobe and the number of lobes of the leaves, and adjusted to polynomial and multiple regression models. The linear function that used the length of the central lobe LA = -69.91114 + 15.06462L and linear multiple functions LA = -69.9188 + 15.5102L + 0.0197726K - 0.0768998J or LA = -69.9346 + 15.0106L + 0.188931K - 0.0264323H are suitable models to estimate leaf area of cassava cultivar IAC 576-70. |
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Leaf area estimation of cassava from linear dimensionsLeaf biometricsManihot esculenta crantzMultiple regressionStatistical modelsThe objective of this study was to determine predictor models of leaf area of cassava from linear leaf measurements. The experiment was carried out in greenhouse in the municipality of Botucatu, São Paulo state, Brazil. The stem cuttings with 5-7 nodes of the cultivar IAC 576-70 were planted in boxes filled with about 320 liters of soil, keeping soil moisture at field capacity, monitored by puncturing tensiometers. At 80 days after planting, 140 leaves were randomly collected from the top, middle third and base of cassava plants. We evaluated the length and width of the central lobe of leaves, number of lobes and leaf area. The measurements of leaf areas were correlated with the length and width of the central lobe and the number of lobes of the leaves, and adjusted to polynomial and multiple regression models. The linear function that used the length of the central lobe LA = -69.91114 + 15.06462L and linear multiple functions LA = -69.9188 + 15.5102L + 0.0197726K - 0.0768998J or LA = -69.9346 + 15.0106L + 0.188931K - 0.0264323H are suitable models to estimate leaf area of cassava cultivar IAC 576-70.Universidade Estadual Paulista/UNESP Faculdade de Ciências Agronômicas Departamento de Produção e Melhoramento Vegetal, Rua José Barbosa de Barros, 1780Universidade Estadual Paulista/UNESP Faculdade de Ciências Agronômicas Departamento de Produção e Melhoramento Vegetal, Rua José Barbosa de Barros, 1780Universidade Estadual Paulista (Unesp)Zanetti, Samara [UNESP]Pereira, Laís F. M. [UNESP]Sartori, Maria Márcia P. [UNESP]Silva, Marcelo De Almeida [UNESP]2018-12-11T17:15:03Z2018-12-11T17:15:03Z2017-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1729-1736application/pdfhttp://dx.doi.org/10.1590/0001-376520172016-0475Anais da Academia Brasileira de Ciencias, v. 89, n. 3, p. 1729-1736, 2017.1678-26900001-3765http://hdl.handle.net/11449/17526410.1590/0001-376520172016-0475S0001-376520170004017292-s2.0-85029957702S0001-37652017000401729.pdf4203867944943427Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAnais da Academia Brasileira de Ciencias0,4180,418info:eu-repo/semantics/openAccess2024-04-30T15:55:49Zoai:repositorio.unesp.br:11449/175264Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:04:51.035381Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Leaf area estimation of cassava from linear dimensions |
title |
Leaf area estimation of cassava from linear dimensions |
spellingShingle |
Leaf area estimation of cassava from linear dimensions Zanetti, Samara [UNESP] Leaf biometrics Manihot esculenta crantz Multiple regression Statistical models |
title_short |
Leaf area estimation of cassava from linear dimensions |
title_full |
Leaf area estimation of cassava from linear dimensions |
title_fullStr |
Leaf area estimation of cassava from linear dimensions |
title_full_unstemmed |
Leaf area estimation of cassava from linear dimensions |
title_sort |
Leaf area estimation of cassava from linear dimensions |
author |
Zanetti, Samara [UNESP] |
author_facet |
Zanetti, Samara [UNESP] Pereira, Laís F. M. [UNESP] Sartori, Maria Márcia P. [UNESP] Silva, Marcelo De Almeida [UNESP] |
author_role |
author |
author2 |
Pereira, Laís F. M. [UNESP] Sartori, Maria Márcia P. [UNESP] Silva, Marcelo De Almeida [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Zanetti, Samara [UNESP] Pereira, Laís F. M. [UNESP] Sartori, Maria Márcia P. [UNESP] Silva, Marcelo De Almeida [UNESP] |
dc.subject.por.fl_str_mv |
Leaf biometrics Manihot esculenta crantz Multiple regression Statistical models |
topic |
Leaf biometrics Manihot esculenta crantz Multiple regression Statistical models |
description |
The objective of this study was to determine predictor models of leaf area of cassava from linear leaf measurements. The experiment was carried out in greenhouse in the municipality of Botucatu, São Paulo state, Brazil. The stem cuttings with 5-7 nodes of the cultivar IAC 576-70 were planted in boxes filled with about 320 liters of soil, keeping soil moisture at field capacity, monitored by puncturing tensiometers. At 80 days after planting, 140 leaves were randomly collected from the top, middle third and base of cassava plants. We evaluated the length and width of the central lobe of leaves, number of lobes and leaf area. The measurements of leaf areas were correlated with the length and width of the central lobe and the number of lobes of the leaves, and adjusted to polynomial and multiple regression models. The linear function that used the length of the central lobe LA = -69.91114 + 15.06462L and linear multiple functions LA = -69.9188 + 15.5102L + 0.0197726K - 0.0768998J or LA = -69.9346 + 15.0106L + 0.188931K - 0.0264323H are suitable models to estimate leaf area of cassava cultivar IAC 576-70. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-01 2018-12-11T17:15:03Z 2018-12-11T17:15:03Z |
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/10.1590/0001-376520172016-0475 Anais da Academia Brasileira de Ciencias, v. 89, n. 3, p. 1729-1736, 2017. 1678-2690 0001-3765 http://hdl.handle.net/11449/175264 10.1590/0001-376520172016-0475 S0001-37652017000401729 2-s2.0-85029957702 S0001-37652017000401729.pdf 4203867944943427 |
url |
http://dx.doi.org/10.1590/0001-376520172016-0475 http://hdl.handle.net/11449/175264 |
identifier_str_mv |
Anais da Academia Brasileira de Ciencias, v. 89, n. 3, p. 1729-1736, 2017. 1678-2690 0001-3765 10.1590/0001-376520172016-0475 S0001-37652017000401729 2-s2.0-85029957702 S0001-37652017000401729.pdf 4203867944943427 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Anais da Academia Brasileira de Ciencias 0,418 0,418 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1729-1736 application/pdf |
dc.source.none.fl_str_mv |
Scopus 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_ |
1808128605075537920 |