An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)

Bibliographic Details
Main Author: Padovan,Maria da Penha
Publication Date: 2022
Other Authors: Taques,Renato Corrêa, Marques,Nathielly Bertollo, Grangeiro,Letícia Paula Perdigão, Lazzarini,Alciro Lamão, Culik,Mark Paul, Ventura,José Aires
Format: Article
Language: eng
Source: Ciência Rural
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782022001000402
Summary: ABSTRACT: The plants physiological processes such as transpiration and photosynthetic efficiency are directly related to leaf area, which is difficult to quantify in a nondestructive manner. To generate a model to estimate the total leaf area of plants of banana cv. Vitória, simple and multiple linear regressions utilizing the length and width of the third leaf, the product of length and width of the third leaf, and the total number of leaves of ‘Vitória’ plants, were tested. The data to develop the model were obtained from ‘Vitória’ banana plants from different edafoclimatic conditions and management. The best performance of the model was obtained using stepwise multiple regression with r2=0.93 and r2= 0.94. Validation of the model resulted in an r2 of 0.74.
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spelling An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)Musagenotyperegressionnondestructive methodABSTRACT: The plants physiological processes such as transpiration and photosynthetic efficiency are directly related to leaf area, which is difficult to quantify in a nondestructive manner. To generate a model to estimate the total leaf area of plants of banana cv. Vitória, simple and multiple linear regressions utilizing the length and width of the third leaf, the product of length and width of the third leaf, and the total number of leaves of ‘Vitória’ plants, were tested. The data to develop the model were obtained from ‘Vitória’ banana plants from different edafoclimatic conditions and management. The best performance of the model was obtained using stepwise multiple regression with r2=0.93 and r2= 0.94. Validation of the model resulted in an r2 of 0.74.Universidade Federal de Santa Maria2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782022001000402Ciência Rural v.52 n.10 2022reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20210403info:eu-repo/semantics/openAccessPadovan,Maria da PenhaTaques,Renato CorrêaMarques,Nathielly BertolloGrangeiro,Letícia Paula PerdigãoLazzarini,Alciro LamãoCulik,Mark PaulVentura,José Aireseng2022-03-09T00:00:00ZRevista
dc.title.none.fl_str_mv An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)
title An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)
spellingShingle An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)
Padovan,Maria da Penha
Musa
genotype
regression
nondestructive method
title_short An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)
title_full An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)
title_fullStr An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)
title_full_unstemmed An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)
title_sort An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)
author Padovan,Maria da Penha
author_facet Padovan,Maria da Penha
Taques,Renato Corrêa
Marques,Nathielly Bertollo
Grangeiro,Letícia Paula Perdigão
Lazzarini,Alciro Lamão
Culik,Mark Paul
Ventura,José Aires
author_role author
author2 Taques,Renato Corrêa
Marques,Nathielly Bertollo
Grangeiro,Letícia Paula Perdigão
Lazzarini,Alciro Lamão
Culik,Mark Paul
Ventura,José Aires
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Padovan,Maria da Penha
Taques,Renato Corrêa
Marques,Nathielly Bertollo
Grangeiro,Letícia Paula Perdigão
Lazzarini,Alciro Lamão
Culik,Mark Paul
Ventura,José Aires
dc.subject.por.fl_str_mv Musa
genotype
regression
nondestructive method
topic Musa
genotype
regression
nondestructive method
description ABSTRACT: The plants physiological processes such as transpiration and photosynthetic efficiency are directly related to leaf area, which is difficult to quantify in a nondestructive manner. To generate a model to estimate the total leaf area of plants of banana cv. Vitória, simple and multiple linear regressions utilizing the length and width of the third leaf, the product of length and width of the third leaf, and the total number of leaves of ‘Vitória’ plants, were tested. The data to develop the model were obtained from ‘Vitória’ banana plants from different edafoclimatic conditions and management. The best performance of the model was obtained using stepwise multiple regression with r2=0.93 and r2= 0.94. Validation of the model resulted in an r2 of 0.74.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S0103-84782022001000402
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782022001000402
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20210403
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.52 n.10 2022
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
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