Non-destructive evaluation of the leaf area of garlic crop using mathematical models

Detalhes bibliográficos
Autor(a) principal: Gonçalves, Felipe Augusto Reis
Data de Publicação: 2020
Outros Autores: Senoski, Marcelo de Paula, Raposo, Thiago Picinatti, Aquino, Leonardo Angelo de, Fernandes, Maria Elisa de Sena
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/42344
Resumo: Growth measurements such as leaf area (LA) and dry matter (DM) are important in experiments about plants population, fertilization, irrigation and others parameters of cultivation, in garlic crop. The LA and DM are commonly defined as destructive, lengthy and cause loss of plants in the experimental units. The objective of this study was to fit mathematical models using linear models that estimate the leaf area and dry matter of garlic plants - variety Ito. For that, garlic plants were collected at 30, 45, 60, 75, 90, 115 and 120 days after planting. The measurements of width (W), length (L) of leaves, LA, DM, pseudostem diameter (PD), number of leaves per plant (NL) and height (H) were determined in each time. The models were fitted to estimate the LA or DM as function of the variables W, L, L*W, PD and LA. The statistical analysis of the linear regression, coefficient of determination of the linear regression (R2), root mean square error (RMSE), modified concordance index (d1) and the BIAS index were verified to determine the most representative models. It`s possible to estimate the LA and the leaf DM of garlic plants using the variables: length, width, pseudostem diameter and height of plants.
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spelling Non-destructive evaluation of the leaf area of garlic crop using mathematical modelsAvaliação não-destrutiva de área foliar da cultura do alho através de modelos matemáticosAllium sativum L.AlometryGrowth.Agricultural ScienceAllium sativum L..Alometria.Crescimento.Growth measurements such as leaf area (LA) and dry matter (DM) are important in experiments about plants population, fertilization, irrigation and others parameters of cultivation, in garlic crop. The LA and DM are commonly defined as destructive, lengthy and cause loss of plants in the experimental units. The objective of this study was to fit mathematical models using linear models that estimate the leaf area and dry matter of garlic plants - variety Ito. For that, garlic plants were collected at 30, 45, 60, 75, 90, 115 and 120 days after planting. The measurements of width (W), length (L) of leaves, LA, DM, pseudostem diameter (PD), number of leaves per plant (NL) and height (H) were determined in each time. The models were fitted to estimate the LA or DM as function of the variables W, L, L*W, PD and LA. The statistical analysis of the linear regression, coefficient of determination of the linear regression (R2), root mean square error (RMSE), modified concordance index (d1) and the BIAS index were verified to determine the most representative models. It`s possible to estimate the LA and the leaf DM of garlic plants using the variables: length, width, pseudostem diameter and height of plants.Medidas de crescimento como área foliar (AF) e matéria seca (MS) são importantes em experimentos com população de plantas, adubação, irrigação e outros parâmetros de cultivo, na cultura do alho. Muitas vezes a AF e MS são definidas por avaliações destrutivas, demoradas e com perdas de plantas nas unidades experimentais. Objetivou-se, com este trabalho, definir modelos matemáticos através de medidas lineares, que estimem a área foliar e a matéria seca das folhas de plantas de alho da variedade Ito. Para isso, quinze plantas foram coletadas aos 30, 45, 60, 75, 90, 115 e 120 dias após o plantio (DAP). As medidas de largura (L), comprimento (C) das folhas, AF, MS, diâmetro do pseudocaule (DP), número de folhas por planta (NF) e altura da planta (AP) foram determinadas em cada época. Ajustaram-se modelos para estimar a AF ou MS em função das variáveis L, C, L*C, DP e AF. Para determinar os modelos mais representativos foram verificados a análise estatística da regressão linear, o coeficiente de determinação da regressão linear (R2), raiz do quadrado médio do erro (RQME), índice de concordância modificado (d1) e o índice BIAS. É possível estimar a AF e MS foliar de plantas de alho através das variáveis comprimento, largura, diâmetro do pseudocaule e altura de plantas.EDUFU2020-08-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/4234410.14393/BJ-v36n5a2020-42344Bioscience Journal ; Vol. 36 No. 5 (2020): Sept./Oct.; 1600-1606Bioscience Journal ; v. 36 n. 5 (2020): Sept./Oct.; 1600-16061981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/42344/29617Brazil; ContemporaryCopyright (c) 2020 Felipe Augusto Reis Gonçalves, Marcelo de Paula Senoski, Thiago Picinatti Raposo, Leonardo Angelo de Aquino, Maria Elisa de Sena Fernandeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGonçalves, Felipe Augusto ReisSenoski, Marcelo de PaulaRaposo, Thiago PicinattiAquino, Leonardo Angelo deFernandes, Maria Elisa de Sena2022-06-10T13:38:13Zoai:ojs.www.seer.ufu.br:article/42344Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-06-10T13:38:13Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Non-destructive evaluation of the leaf area of garlic crop using mathematical models
Avaliação não-destrutiva de área foliar da cultura do alho através de modelos matemáticos
title Non-destructive evaluation of the leaf area of garlic crop using mathematical models
spellingShingle Non-destructive evaluation of the leaf area of garlic crop using mathematical models
Gonçalves, Felipe Augusto Reis
Allium sativum L.
Alometry
Growth.
Agricultural Science
Allium sativum L..
Alometria.
Crescimento.
title_short Non-destructive evaluation of the leaf area of garlic crop using mathematical models
title_full Non-destructive evaluation of the leaf area of garlic crop using mathematical models
title_fullStr Non-destructive evaluation of the leaf area of garlic crop using mathematical models
title_full_unstemmed Non-destructive evaluation of the leaf area of garlic crop using mathematical models
title_sort Non-destructive evaluation of the leaf area of garlic crop using mathematical models
author Gonçalves, Felipe Augusto Reis
author_facet Gonçalves, Felipe Augusto Reis
Senoski, Marcelo de Paula
Raposo, Thiago Picinatti
Aquino, Leonardo Angelo de
Fernandes, Maria Elisa de Sena
author_role author
author2 Senoski, Marcelo de Paula
Raposo, Thiago Picinatti
Aquino, Leonardo Angelo de
Fernandes, Maria Elisa de Sena
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gonçalves, Felipe Augusto Reis
Senoski, Marcelo de Paula
Raposo, Thiago Picinatti
Aquino, Leonardo Angelo de
Fernandes, Maria Elisa de Sena
dc.subject.por.fl_str_mv Allium sativum L.
Alometry
Growth.
Agricultural Science
Allium sativum L..
Alometria.
Crescimento.
topic Allium sativum L.
Alometry
Growth.
Agricultural Science
Allium sativum L..
Alometria.
Crescimento.
description Growth measurements such as leaf area (LA) and dry matter (DM) are important in experiments about plants population, fertilization, irrigation and others parameters of cultivation, in garlic crop. The LA and DM are commonly defined as destructive, lengthy and cause loss of plants in the experimental units. The objective of this study was to fit mathematical models using linear models that estimate the leaf area and dry matter of garlic plants - variety Ito. For that, garlic plants were collected at 30, 45, 60, 75, 90, 115 and 120 days after planting. The measurements of width (W), length (L) of leaves, LA, DM, pseudostem diameter (PD), number of leaves per plant (NL) and height (H) were determined in each time. The models were fitted to estimate the LA or DM as function of the variables W, L, L*W, PD and LA. The statistical analysis of the linear regression, coefficient of determination of the linear regression (R2), root mean square error (RMSE), modified concordance index (d1) and the BIAS index were verified to determine the most representative models. It`s possible to estimate the LA and the leaf DM of garlic plants using the variables: length, width, pseudostem diameter and height of plants.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-13
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/42344
10.14393/BJ-v36n5a2020-42344
url https://seer.ufu.br/index.php/biosciencejournal/article/view/42344
identifier_str_mv 10.14393/BJ-v36n5a2020-42344
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/42344/29617
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 36 No. 5 (2020): Sept./Oct.; 1600-1606
Bioscience Journal ; v. 36 n. 5 (2020): Sept./Oct.; 1600-1606
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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