Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought

Detalhes bibliográficos
Autor(a) principal: Silva, Renan Gonçalves da
Data de Publicação: 2020
Outros Autores: Silva, Jóice Oliveira Leite, Zingaretti, Sonia Marli
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
DOI: 10.33448/rsd-v9i9.7645
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/7645
Resumo: This article aims was to compare two sugarcane genotypes under elevated atmospheric carbon dioxide (CO2) concentration and soil water deficit, through an approach based on statistical analysis of plant growth multiple characteristics. For that, Pearson's correlation, dissimilarity and principal components (PC) analysis were performed, of some parameters such as stem length (culm) and roots length, number of leaves, dry mass of plant tissues, among other characteristics. Biometric attributes have a positive and significant correlation with each other. However, the dry mass values ​​have a negative correlation with the other parameters, meaning, therefore, there is a growth reduction as there is also a decrease in plants water conditions subjected to stress. Based on the dissimilarity and PC analysis, observed that genotypes genetically diverge and the imposed environmental condition influences growth responses. This preliminary study is an indication that this approach is essential for understanding the variations between the sugarcane genotypes responses. In addition, is evident (due to divergence) that analyses about the physiological and molecular responses of these genotypes in this environmental condition will contribute to the identification of regulated biological processes and possible tolerance mechanisms.
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spelling Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and droughtEnfoque por técnicas estadísticas: crecimiento de dos genotipos de caña de azúcar sometidos a alto [CO2] atmosférico y secoAbordagem por técnicas estatísticas: crescimento de dois genótipos de cana-de-açúcar submetidos à elevada [CO2] atmosférica e secaMultivariate analysisGrowthClimate changesSaccharum spp.Analisis multivariableCrecimientoCambios climáticosSaccharum spp.Análise multivariadaCrescimentoMudanças climáticasSaccharum spp.This article aims was to compare two sugarcane genotypes under elevated atmospheric carbon dioxide (CO2) concentration and soil water deficit, through an approach based on statistical analysis of plant growth multiple characteristics. For that, Pearson's correlation, dissimilarity and principal components (PC) analysis were performed, of some parameters such as stem length (culm) and roots length, number of leaves, dry mass of plant tissues, among other characteristics. Biometric attributes have a positive and significant correlation with each other. However, the dry mass values ​​have a negative correlation with the other parameters, meaning, therefore, there is a growth reduction as there is also a decrease in plants water conditions subjected to stress. Based on the dissimilarity and PC analysis, observed that genotypes genetically diverge and the imposed environmental condition influences growth responses. This preliminary study is an indication that this approach is essential for understanding the variations between the sugarcane genotypes responses. In addition, is evident (due to divergence) that analyses about the physiological and molecular responses of these genotypes in this environmental condition will contribute to the identification of regulated biological processes and possible tolerance mechanisms.El objetivo del trabajo fue comparar dos genotipos de caña de azúcar ante la alta concentración atmosférica de dióxido de carbono (CO2) y la deficiencia de agua en el suelo, mediante un enfoque basado en el análisis estadístico de múltiples características del crecimiento vegetal. Para ello, se realizó la correlación de Pearson, análisis de disimilitud y componentes principales (ACP), de algunos parámetros como la longitud del tallo y raíces, número de hojas, masa seca de tejidos vegetales, entre otras características. Los atributos biométricos tienen una correlación positiva y significativa entre sí. Sin embargo, los valores de masa seca tienen una correlación negativa con el resto de parámetros, es decir, por lo tanto, hay una reducción del crecimiento ya que también hay una disminución de las condiciones hídricas de las plantas sometidas a estrés. Con base en los análisis de disimilitud y ACP, se observa que los genotipos divergen genéticamente y la condición ambiental impuesta influye en las respuestas de crecimiento. Este estudio preliminar es una indicación de que este enfoque es esencial para comprender las variaciones entre las respuestas de los genotipos de la caña de azúcar. Además, es evidente (debido a la divergencia) que análisis sobre las respuestas fisiológicas y moleculares de estos genotipos en esta condición ambiental contribuirán a la identificación de procesos biológicos regulados y posibles mecanismos de tolerancia.O objetivo do trabalho foi comparar dois genótipos de cana-de-açúcar frente à elevada concentração atmosférica de dióxido de carbono (CO2) e deficiência hídrica no solo, através de uma abordagem baseada em análises estatísticas de múltiplas características do crescimento vegetal.  Para isso, realizou-se a correlação de Pearson, análise de dissimilaridade e componentes principais (ACP), de alguns parâmetros como o comprimento do caule (colmo) e das raízes, número de folhas, massa seca de tecidos da planta, entre outras características. Os atributos biométricos apresentam correlação positiva e significativa entre si. Entretanto, os valores de massa seca possuem correlação negativa com os demais parâmetros, significando, portanto, haver uma redução do crescimento à medida que também ocorre um decréscimo nas condições hídricas das plantas submetidas ao estresse. Com base nas análises de dissimilaridade e ACP, observa-se que os genótipos divergem geneticamente e a condição ambiental imposta influencia nas respostas de crescimento. Esse estudo preliminar é um indicativo de que essa abordagem é fundamental para o entendimento das variações existentes entre as respostas de genótipos de cana-de-açúcar. Além disso, fica evidente (devido à divergência) que análises acerca das respostas fisiológicas e moleculares desses genótipos nessa condição ambiental contribuirão para a identificação dos processos biológicos regulados e possíveis mecanismos de tolerância.Research, Society and Development2020-08-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/764510.33448/rsd-v9i9.7645Research, Society and Development; Vol. 9 No. 9; e506997645Research, Society and Development; Vol. 9 Núm. 9; e506997645Research, Society and Development; v. 9 n. 9; e5069976452525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/7645/6686Copyright (c) 2020 Renan Gonçalves da Silva; Jóice Oliveira Leite Silva; Sonia Marli Zingarettihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Renan Gonçalves daSilva, Jóice Oliveira Leite Zingaretti, Sonia Marli 2020-09-18T01:42:11Zoai:ojs.pkp.sfu.ca:article/7645Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:30:18.595397Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
Enfoque por técnicas estadísticas: crecimiento de dos genotipos de caña de azúcar sometidos a alto [CO2] atmosférico y seco
Abordagem por técnicas estatísticas: crescimento de dois genótipos de cana-de-açúcar submetidos à elevada [CO2] atmosférica e seca
title Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
spellingShingle Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
Silva, Renan Gonçalves da
Multivariate analysis
Growth
Climate changes
Saccharum spp.
Analisis multivariable
Crecimiento
Cambios climáticos
Saccharum spp.
Análise multivariada
Crescimento
Mudanças climáticas
Saccharum spp.
Silva, Renan Gonçalves da
Multivariate analysis
Growth
Climate changes
Saccharum spp.
Analisis multivariable
Crecimiento
Cambios climáticos
Saccharum spp.
Análise multivariada
Crescimento
Mudanças climáticas
Saccharum spp.
title_short Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
title_full Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
title_fullStr Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
title_full_unstemmed Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
title_sort Statistical techniques approach: two sugarcane genotypes growth under elevated [CO2] atmospheric and drought
author Silva, Renan Gonçalves da
author_facet Silva, Renan Gonçalves da
Silva, Renan Gonçalves da
Silva, Jóice Oliveira Leite
Zingaretti, Sonia Marli
Silva, Jóice Oliveira Leite
Zingaretti, Sonia Marli
author_role author
author2 Silva, Jóice Oliveira Leite
Zingaretti, Sonia Marli
author2_role author
author
dc.contributor.author.fl_str_mv Silva, Renan Gonçalves da
Silva, Jóice Oliveira Leite
Zingaretti, Sonia Marli
dc.subject.por.fl_str_mv Multivariate analysis
Growth
Climate changes
Saccharum spp.
Analisis multivariable
Crecimiento
Cambios climáticos
Saccharum spp.
Análise multivariada
Crescimento
Mudanças climáticas
Saccharum spp.
topic Multivariate analysis
Growth
Climate changes
Saccharum spp.
Analisis multivariable
Crecimiento
Cambios climáticos
Saccharum spp.
Análise multivariada
Crescimento
Mudanças climáticas
Saccharum spp.
description This article aims was to compare two sugarcane genotypes under elevated atmospheric carbon dioxide (CO2) concentration and soil water deficit, through an approach based on statistical analysis of plant growth multiple characteristics. For that, Pearson's correlation, dissimilarity and principal components (PC) analysis were performed, of some parameters such as stem length (culm) and roots length, number of leaves, dry mass of plant tissues, among other characteristics. Biometric attributes have a positive and significant correlation with each other. However, the dry mass values ​​have a negative correlation with the other parameters, meaning, therefore, there is a growth reduction as there is also a decrease in plants water conditions subjected to stress. Based on the dissimilarity and PC analysis, observed that genotypes genetically diverge and the imposed environmental condition influences growth responses. This preliminary study is an indication that this approach is essential for understanding the variations between the sugarcane genotypes responses. In addition, is evident (due to divergence) that analyses about the physiological and molecular responses of these genotypes in this environmental condition will contribute to the identification of regulated biological processes and possible tolerance mechanisms.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-28
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://rsdjournal.org/index.php/rsd/article/view/7645
10.33448/rsd-v9i9.7645
url https://rsdjournal.org/index.php/rsd/article/view/7645
identifier_str_mv 10.33448/rsd-v9i9.7645
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/7645/6686
dc.rights.driver.fl_str_mv Copyright (c) 2020 Renan Gonçalves da Silva; Jóice Oliveira Leite Silva; Sonia Marli Zingaretti
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Renan Gonçalves da Silva; Jóice Oliveira Leite Silva; Sonia Marli Zingaretti
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 9 No. 9; e506997645
Research, Society and Development; Vol. 9 Núm. 9; e506997645
Research, Society and Development; v. 9 n. 9; e506997645
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1822178632497364992
dc.identifier.doi.none.fl_str_mv 10.33448/rsd-v9i9.7645

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