Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis

Detalhes bibliográficos
Autor(a) principal: Lucena, Leandro Ricardo Rodrigues de
Data de Publicação: 2020
Outros Autores: Leite, Maurício Luiz de Mello Vieira, Simões, Vicente José Laamon Pinto, Almeida, Mirna Clarissa Rodrigues de, Costa, Álefe Chagas de Lima, Oliveira, Antonio Dennys Melo de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50257
Resumo: Forage cacti can contribute to increases in biomass yields in agricultural areas, improving the use efficiency of local natural resources. Forage cactus stands out as a forage alternative in semi-arid regions due to its high potential of phytomass production and energy value, large water reserve and easy propagation. The objective of this study was discriminate as morphometric characteristics of Nopalea cochenillifera cladodes in relation to Little and Giant Sweet clones. This research was conducted from March 2016 to July 2019. The design used was randomized blocks with five replicates using the forage cactus clones Little and Giant Sweet of Nopalea cochenillifera (L.) Salm-Dyck. The experimental unit was an area of 126.0 m2 (12.6 x 10.0 m). Study sample is composed of 1018 cladodes (581 of Little Sweet clone) and (437 of Giant Sweet clone), randomly collected. Variables evaluated were the cladode length, width, thickness, area weight. T-tests, Pearson correlation coefficients, discriminant analysis and canonical variables analysis were used to evaluate, compare and discriminate the morphometric characteristics of forage cactus clones. The Giant Sweet clone presented the highest means for the variables length, width, area and weight. Fisher's discriminant function verified a 99.41% hit rate to differentiate groups of forage cactus clone. The hit rate for Little Sweet clone was of 98.97%, while for Giant Sweet clone was of 100.00%. With two canonical variables the explanation rate of the morphometric characteristics for the behavior of forage cactus clones is higher than 90%. Morphometric characteristics of cladodes can be used as parameters that help in the identification of Nopalea cochenillifera clones with high discriminatory power.
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spelling Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis little sweet clone; giant sweet clone; morphometric characteristics.little sweet clone; giant sweet clone; morphometric characteristics.Forage cacti can contribute to increases in biomass yields in agricultural areas, improving the use efficiency of local natural resources. Forage cactus stands out as a forage alternative in semi-arid regions due to its high potential of phytomass production and energy value, large water reserve and easy propagation. The objective of this study was discriminate as morphometric characteristics of Nopalea cochenillifera cladodes in relation to Little and Giant Sweet clones. This research was conducted from March 2016 to July 2019. The design used was randomized blocks with five replicates using the forage cactus clones Little and Giant Sweet of Nopalea cochenillifera (L.) Salm-Dyck. The experimental unit was an area of 126.0 m2 (12.6 x 10.0 m). Study sample is composed of 1018 cladodes (581 of Little Sweet clone) and (437 of Giant Sweet clone), randomly collected. Variables evaluated were the cladode length, width, thickness, area weight. T-tests, Pearson correlation coefficients, discriminant analysis and canonical variables analysis were used to evaluate, compare and discriminate the morphometric characteristics of forage cactus clones. The Giant Sweet clone presented the highest means for the variables length, width, area and weight. Fisher's discriminant function verified a 99.41% hit rate to differentiate groups of forage cactus clone. The hit rate for Little Sweet clone was of 98.97%, while for Giant Sweet clone was of 100.00%. With two canonical variables the explanation rate of the morphometric characteristics for the behavior of forage cactus clones is higher than 90%. Morphometric characteristics of cladodes can be used as parameters that help in the identification of Nopalea cochenillifera clones with high discriminatory power.Forage cacti can contribute to increases in biomass yields in agricultural areas, improving the use efficiency of local natural resources. Forage cactus stands out as a forage alternative in semi-arid regions due to its high potential of phytomass production and energy value, large water reserve and easy propagation. The objective of this study was discriminate as morphometric characteristics of Nopalea cochenillifera cladodes in relation to Little and Giant Sweet clones. This research was conducted from March 2016 to July 2019. The design used was randomized blocks with five replicates using the forage cactus clones Little and Giant Sweet of Nopalea cochenillifera (L.) Salm-Dyck. The experimental unit was an area of 126.0 m2 (12.6 x 10.0 m). Study sample is composed of 1018 cladodes (581 of Little Sweet clone) and (437 of Giant Sweet clone), randomly collected. Variables evaluated were the cladode length, width, thickness, area weight. T-tests, Pearson correlation coefficients, discriminant analysis and canonical variables analysis were used to evaluate, compare and discriminate the morphometric characteristics of forage cactus clones. The Giant Sweet clone presented the highest means for the variables length, width, area and weight. Fisher's discriminant function verified a 99.41% hit rate to differentiate groups of forage cactus clone. The hit rate for Little Sweet clone was of 98.97%, while for Giant Sweet clone was of 100.00%. With two canonical variables the explanation rate of the morphometric characteristics for the behavior of forage cactus clones is higher than 90%. Morphometric characteristics of cladodes can be used as parameters that help in the identification of Nopalea cochenillifera clones with high discriminatory power.Universidade Estadual De Maringá2020-08-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/5025710.4025/actascitechnol.v43i1.50257Acta Scientiarum. Technology; Vol 43 (2021): Publicação contínua; e50257Acta Scientiarum. Technology; v. 43 (2021): Publicação contínua; e502571806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50257/751375150570Copyright (c) 2021 Acta Scientiarum. Technologyhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLucena, Leandro Ricardo Rodrigues deLeite, Maurício Luiz de Mello Vieira Simões, Vicente José Laamon Pinto Almeida, Mirna Clarissa Rodrigues deCosta, Álefe Chagas de Lima Oliveira, Antonio Dennys Melo de2020-10-09T12:47:45Zoai:periodicos.uem.br/ojs:article/50257Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2020-10-09T12:47:45Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis
Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis
title Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis
spellingShingle Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis
Lucena, Leandro Ricardo Rodrigues de
little sweet clone; giant sweet clone; morphometric characteristics.
little sweet clone; giant sweet clone; morphometric characteristics.
title_short Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis
title_full Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis
title_fullStr Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis
title_full_unstemmed Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis
title_sort Characterization of Nopalea cochenillifera clones using linear dimensions and multivariate analysis
author Lucena, Leandro Ricardo Rodrigues de
author_facet Lucena, Leandro Ricardo Rodrigues de
Leite, Maurício Luiz de Mello Vieira
Simões, Vicente José Laamon Pinto
Almeida, Mirna Clarissa Rodrigues de
Costa, Álefe Chagas de Lima
Oliveira, Antonio Dennys Melo de
author_role author
author2 Leite, Maurício Luiz de Mello Vieira
Simões, Vicente José Laamon Pinto
Almeida, Mirna Clarissa Rodrigues de
Costa, Álefe Chagas de Lima
Oliveira, Antonio Dennys Melo de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Lucena, Leandro Ricardo Rodrigues de
Leite, Maurício Luiz de Mello Vieira
Simões, Vicente José Laamon Pinto
Almeida, Mirna Clarissa Rodrigues de
Costa, Álefe Chagas de Lima
Oliveira, Antonio Dennys Melo de
dc.subject.por.fl_str_mv little sweet clone; giant sweet clone; morphometric characteristics.
little sweet clone; giant sweet clone; morphometric characteristics.
topic little sweet clone; giant sweet clone; morphometric characteristics.
little sweet clone; giant sweet clone; morphometric characteristics.
description Forage cacti can contribute to increases in biomass yields in agricultural areas, improving the use efficiency of local natural resources. Forage cactus stands out as a forage alternative in semi-arid regions due to its high potential of phytomass production and energy value, large water reserve and easy propagation. The objective of this study was discriminate as morphometric characteristics of Nopalea cochenillifera cladodes in relation to Little and Giant Sweet clones. This research was conducted from March 2016 to July 2019. The design used was randomized blocks with five replicates using the forage cactus clones Little and Giant Sweet of Nopalea cochenillifera (L.) Salm-Dyck. The experimental unit was an area of 126.0 m2 (12.6 x 10.0 m). Study sample is composed of 1018 cladodes (581 of Little Sweet clone) and (437 of Giant Sweet clone), randomly collected. Variables evaluated were the cladode length, width, thickness, area weight. T-tests, Pearson correlation coefficients, discriminant analysis and canonical variables analysis were used to evaluate, compare and discriminate the morphometric characteristics of forage cactus clones. The Giant Sweet clone presented the highest means for the variables length, width, area and weight. Fisher's discriminant function verified a 99.41% hit rate to differentiate groups of forage cactus clone. The hit rate for Little Sweet clone was of 98.97%, while for Giant Sweet clone was of 100.00%. With two canonical variables the explanation rate of the morphometric characteristics for the behavior of forage cactus clones is higher than 90%. Morphometric characteristics of cladodes can be used as parameters that help in the identification of Nopalea cochenillifera clones with high discriminatory power.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50257
10.4025/actascitechnol.v43i1.50257
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50257
identifier_str_mv 10.4025/actascitechnol.v43i1.50257
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50257/751375150570
dc.rights.driver.fl_str_mv Copyright (c) 2021 Acta Scientiarum. Technology
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Acta Scientiarum. Technology
http://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 Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 43 (2021): Publicação contínua; e50257
Acta Scientiarum. Technology; v. 43 (2021): Publicação contínua; e50257
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
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