An allometric model to estimate total leaf area of banana plants of the cultivar Vitória (AAAB)
Main Author: | |
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Publication Date: | 2022 |
Other Authors: | , , , , , |
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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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 |
|
_version_ |
1749140557037305856 |