Leaf area estimation with nondestructive method in cassava
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bragantia |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000400472 |
Resumo: | ABSTRACT The objective of this study was to create a single mathematical equation able to estimate the leaf area of different cassava cultivars from one lineal dimension without destroying any plant tissue. Two hundred leaves per cultivar from ten cultivars were used to calibrate the model and more than one hundred leaves per cultivar were used to test its predictive capacity as independent data. All equations were the result of the nonlinear correlation between the leaf area and the length of its central lobe. To validate it as a “general” equation, another set of five cultivars were used. A “specific” equation for each cultivar was also calibrated to compare with the “general” equation’s performance. Cultivar Vassourinha has remarkably different leaf morphology from the other nine cultivars, making the “general” equation’s tendency line deviate and lowering its coefficient of determination. Therefore, one more equation was generated excluding that cultivar and, as a result, it was not possible to estimate the leaf area from all the cultivars using only the “general” equation. The “general without Vassourinha” equation has a high accuracy level when estimating leaf area of the other nine cultivars, plus the extra five cultivars that were included to validate the general equation; all of them present similar leaf morphology. Due to its importance, Vassourinha cultivar’s “specific” equation should be used when estimating leaf area for this cultivar or other cultivars with similar leaf morphology. |
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Leaf area estimation with nondestructive method in cassavaManihot esculenta Crantzlinear dimensionsleaf area indexmodelsABSTRACT The objective of this study was to create a single mathematical equation able to estimate the leaf area of different cassava cultivars from one lineal dimension without destroying any plant tissue. Two hundred leaves per cultivar from ten cultivars were used to calibrate the model and more than one hundred leaves per cultivar were used to test its predictive capacity as independent data. All equations were the result of the nonlinear correlation between the leaf area and the length of its central lobe. To validate it as a “general” equation, another set of five cultivars were used. A “specific” equation for each cultivar was also calibrated to compare with the “general” equation’s performance. Cultivar Vassourinha has remarkably different leaf morphology from the other nine cultivars, making the “general” equation’s tendency line deviate and lowering its coefficient of determination. Therefore, one more equation was generated excluding that cultivar and, as a result, it was not possible to estimate the leaf area from all the cultivars using only the “general” equation. The “general without Vassourinha” equation has a high accuracy level when estimating leaf area of the other nine cultivars, plus the extra five cultivars that were included to validate the general equation; all of them present similar leaf morphology. Due to its importance, Vassourinha cultivar’s “specific” equation should be used when estimating leaf area for this cultivar or other cultivars with similar leaf morphology.Instituto Agronômico de Campinas2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000400472Bragantia v.79 n.4 2020reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20200018info:eu-repo/semantics/openAccessTrachta,Mariano AbelJunior,Alencar ZanonAlves,Alexandre FerigoloFreitas,Charles Patrick de Oliveira deStreck,Nereu AugustoCardoso,Paula de SouzaSantos,Amanda Thirza LimaNascimento,Moises de Freitas doRossato,Ioran GuedesSimões,Guilherme PenteadoAmaral,Kaleb Emanoel Ferreira doStreck,Ijésica LuanaRodrigues,Luíza Brumeng2021-05-27T00:00:00Zoai:scielo:S0006-87052020000400472Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2021-05-27T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false |
dc.title.none.fl_str_mv |
Leaf area estimation with nondestructive method in cassava |
title |
Leaf area estimation with nondestructive method in cassava |
spellingShingle |
Leaf area estimation with nondestructive method in cassava Trachta,Mariano Abel Manihot esculenta Crantz linear dimensions leaf area index models |
title_short |
Leaf area estimation with nondestructive method in cassava |
title_full |
Leaf area estimation with nondestructive method in cassava |
title_fullStr |
Leaf area estimation with nondestructive method in cassava |
title_full_unstemmed |
Leaf area estimation with nondestructive method in cassava |
title_sort |
Leaf area estimation with nondestructive method in cassava |
author |
Trachta,Mariano Abel |
author_facet |
Trachta,Mariano Abel Junior,Alencar Zanon Alves,Alexandre Ferigolo Freitas,Charles Patrick de Oliveira de Streck,Nereu Augusto Cardoso,Paula de Souza Santos,Amanda Thirza Lima Nascimento,Moises de Freitas do Rossato,Ioran Guedes Simões,Guilherme Penteado Amaral,Kaleb Emanoel Ferreira do Streck,Ijésica Luana Rodrigues,Luíza Brum |
author_role |
author |
author2 |
Junior,Alencar Zanon Alves,Alexandre Ferigolo Freitas,Charles Patrick de Oliveira de Streck,Nereu Augusto Cardoso,Paula de Souza Santos,Amanda Thirza Lima Nascimento,Moises de Freitas do Rossato,Ioran Guedes Simões,Guilherme Penteado Amaral,Kaleb Emanoel Ferreira do Streck,Ijésica Luana Rodrigues,Luíza Brum |
author2_role |
author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Trachta,Mariano Abel Junior,Alencar Zanon Alves,Alexandre Ferigolo Freitas,Charles Patrick de Oliveira de Streck,Nereu Augusto Cardoso,Paula de Souza Santos,Amanda Thirza Lima Nascimento,Moises de Freitas do Rossato,Ioran Guedes Simões,Guilherme Penteado Amaral,Kaleb Emanoel Ferreira do Streck,Ijésica Luana Rodrigues,Luíza Brum |
dc.subject.por.fl_str_mv |
Manihot esculenta Crantz linear dimensions leaf area index models |
topic |
Manihot esculenta Crantz linear dimensions leaf area index models |
description |
ABSTRACT The objective of this study was to create a single mathematical equation able to estimate the leaf area of different cassava cultivars from one lineal dimension without destroying any plant tissue. Two hundred leaves per cultivar from ten cultivars were used to calibrate the model and more than one hundred leaves per cultivar were used to test its predictive capacity as independent data. All equations were the result of the nonlinear correlation between the leaf area and the length of its central lobe. To validate it as a “general” equation, another set of five cultivars were used. A “specific” equation for each cultivar was also calibrated to compare with the “general” equation’s performance. Cultivar Vassourinha has remarkably different leaf morphology from the other nine cultivars, making the “general” equation’s tendency line deviate and lowering its coefficient of determination. Therefore, one more equation was generated excluding that cultivar and, as a result, it was not possible to estimate the leaf area from all the cultivars using only the “general” equation. The “general without Vassourinha” equation has a high accuracy level when estimating leaf area of the other nine cultivars, plus the extra five cultivars that were included to validate the general equation; all of them present similar leaf morphology. Due to its importance, Vassourinha cultivar’s “specific” equation should be used when estimating leaf area for this cultivar or other cultivars with similar leaf morphology. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-01 |
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=S0006-87052020000400472 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000400472 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4499.20200018 |
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 |
Instituto Agronômico de Campinas |
publisher.none.fl_str_mv |
Instituto Agronômico de Campinas |
dc.source.none.fl_str_mv |
Bragantia v.79 n.4 2020 reponame:Bragantia instname:Instituto Agronômico de Campinas (IAC) instacron:IAC |
instname_str |
Instituto Agronômico de Campinas (IAC) |
instacron_str |
IAC |
institution |
IAC |
reponame_str |
Bragantia |
collection |
Bragantia |
repository.name.fl_str_mv |
Bragantia - Instituto Agronômico de Campinas (IAC) |
repository.mail.fl_str_mv |
bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br |
_version_ |
1754193307909488640 |