Comparison of methods for estimating leaf area in pornunça (Manihot sp.)
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662021001100733 |
Resumo: | ABSTRACT Leaf area measurements are used in agronomic studies to evaluate plant growth, light interception, photosynthetic rates, and plant transpiration. It constitute an important indicator of crop productivity, for which the evaluation method must be fast, accurate, and of low cost. The objective of this study was to compare different indirect methods to estimate leaf area in pornunça (Manihot sp.). The research was carried out under field conditions from August 2017 to January 2019 in the semiarid region of Pernambuco State, Northeastern Brazil. Three methods were tested: linear dimensions of leaf (length, width, and the number of lobes), digital image, and leaf scanned image, analyzing 150 healthy leaves from 120 plants of pornunça at different growth stages. The criteria used to determine the best model(s) were a high coefficient of determination, low Akaike information criterion, low sum of squares of residuals, and high Willmott index. Independent of the method of determination, the power models showed the best criteria of adequacy for estimating the leaf area of the pornunça. The digital image, using the power model (Y=LW0.77NL0.49, where L and W are the leaf length and width, and NL is the number of lobes in the leaf) was the best non-destructive method for estimating the leaf area in pornunça plants. |
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Comparison of methods for estimating leaf area in pornunça (Manihot sp.)biometrymodelingpower modelABSTRACT Leaf area measurements are used in agronomic studies to evaluate plant growth, light interception, photosynthetic rates, and plant transpiration. It constitute an important indicator of crop productivity, for which the evaluation method must be fast, accurate, and of low cost. The objective of this study was to compare different indirect methods to estimate leaf area in pornunça (Manihot sp.). The research was carried out under field conditions from August 2017 to January 2019 in the semiarid region of Pernambuco State, Northeastern Brazil. Three methods were tested: linear dimensions of leaf (length, width, and the number of lobes), digital image, and leaf scanned image, analyzing 150 healthy leaves from 120 plants of pornunça at different growth stages. The criteria used to determine the best model(s) were a high coefficient of determination, low Akaike information criterion, low sum of squares of residuals, and high Willmott index. Independent of the method of determination, the power models showed the best criteria of adequacy for estimating the leaf area of the pornunça. The digital image, using the power model (Y=LW0.77NL0.49, where L and W are the leaf length and width, and NL is the number of lobes in the leaf) was the best non-destructive method for estimating the leaf area in pornunça plants.Departamento de Engenharia Agrícola - UFCG2021-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662021001100733Revista Brasileira de Engenharia Agrícola e Ambiental v.25 n.11 2021reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v25n11p733-740info:eu-repo/semantics/openAccessLeite,Mauricio L. de M. V.Moura,Geovane A. deMoura,Edvaldo A. deLucena,Leandro R. R. deSales,Aldo T.Sampaio,Everardo V. de S. B.eng2021-08-20T00:00:00Zoai:scielo:S1415-43662021001100733Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2021-08-20T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false |
dc.title.none.fl_str_mv |
Comparison of methods for estimating leaf area in pornunça (Manihot sp.) |
title |
Comparison of methods for estimating leaf area in pornunça (Manihot sp.) |
spellingShingle |
Comparison of methods for estimating leaf area in pornunça (Manihot sp.) Leite,Mauricio L. de M. V. biometry modeling power model |
title_short |
Comparison of methods for estimating leaf area in pornunça (Manihot sp.) |
title_full |
Comparison of methods for estimating leaf area in pornunça (Manihot sp.) |
title_fullStr |
Comparison of methods for estimating leaf area in pornunça (Manihot sp.) |
title_full_unstemmed |
Comparison of methods for estimating leaf area in pornunça (Manihot sp.) |
title_sort |
Comparison of methods for estimating leaf area in pornunça (Manihot sp.) |
author |
Leite,Mauricio L. de M. V. |
author_facet |
Leite,Mauricio L. de M. V. Moura,Geovane A. de Moura,Edvaldo A. de Lucena,Leandro R. R. de Sales,Aldo T. Sampaio,Everardo V. de S. B. |
author_role |
author |
author2 |
Moura,Geovane A. de Moura,Edvaldo A. de Lucena,Leandro R. R. de Sales,Aldo T. Sampaio,Everardo V. de S. B. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Leite,Mauricio L. de M. V. Moura,Geovane A. de Moura,Edvaldo A. de Lucena,Leandro R. R. de Sales,Aldo T. Sampaio,Everardo V. de S. B. |
dc.subject.por.fl_str_mv |
biometry modeling power model |
topic |
biometry modeling power model |
description |
ABSTRACT Leaf area measurements are used in agronomic studies to evaluate plant growth, light interception, photosynthetic rates, and plant transpiration. It constitute an important indicator of crop productivity, for which the evaluation method must be fast, accurate, and of low cost. The objective of this study was to compare different indirect methods to estimate leaf area in pornunça (Manihot sp.). The research was carried out under field conditions from August 2017 to January 2019 in the semiarid region of Pernambuco State, Northeastern Brazil. Three methods were tested: linear dimensions of leaf (length, width, and the number of lobes), digital image, and leaf scanned image, analyzing 150 healthy leaves from 120 plants of pornunça at different growth stages. The criteria used to determine the best model(s) were a high coefficient of determination, low Akaike information criterion, low sum of squares of residuals, and high Willmott index. Independent of the method of determination, the power models showed the best criteria of adequacy for estimating the leaf area of the pornunça. The digital image, using the power model (Y=LW0.77NL0.49, where L and W are the leaf length and width, and NL is the number of lobes in the leaf) was the best non-destructive method for estimating the leaf area in pornunça plants. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-01 |
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=S1415-43662021001100733 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662021001100733 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1807-1929/agriambi.v25n11p733-740 |
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 |
Departamento de Engenharia Agrícola - UFCG |
publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
dc.source.none.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental v.25 n.11 2021 reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online) instname:Universidade Federal de Campina Grande (UFCG) instacron:UFCG |
instname_str |
Universidade Federal de Campina Grande (UFCG) |
instacron_str |
UFCG |
institution |
UFCG |
reponame_str |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
collection |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG) |
repository.mail.fl_str_mv |
||agriambi@agriambi.com.br |
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1750297688206737408 |