Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) Morrone

Detalhes bibliográficos
Autor(a) principal: Santana, Josefa Grasiela Silva
Data de Publicação: 2023
Outros Autores: Farias, João Esdras Calaça, Daher, Rogério Figueiredo, Ambrósio, Moisés, Leite, Cleudiane Lopes, Vidal, Ana Kesia Faria, Nascimento, Maxwel Rodrigues, Souza, Alexandre Gomes de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Tropical (Online)
Texto Completo: https://revistas.ufg.br/pat/article/view/75967
Resumo: One of the challenges of the energy sector is the identification of renewable resources with less impact on the environment and that are economically viable. This study aimed to estimate the genetic diversity of eleven full-sib families of elephant grass, using quantitative traits associated with bioenergy production. The trial followed a randomized blocks design, with four replications and each plot (family) consisting of five plants, totaling 220 genotypes. Five quantitative traits were measured: dry matter yield, dry matter percentage, plant height, stem diameter and number of tillers. The genetic diversity was estimated using multivariate methods (principal component analysis and hierarchical clustering). The analysis revealed a significant genetic diversity among the full-sib of elephant grass, with a greater variability observed for dry matter yield and number of tillers. The families 1, 2, 5, 7 and 8 exhibited superior genotypes for bioenergy production-related traits. The grouping analysis generated twenty clusters, enabling the differentiation of genotypes. Eight clusters comprised genotypes with a high dry matter yield and plant height, simultaneously, surpassing the overall mean for number of tillers. KEYWORDS: Bioenergy species, multivariate analyses, plant breeding, environmental sustainability.
id UFG-6_5ddef2bb80069161a1df8b0d05fcd8b0
oai_identifier_str oai:ojs.revistas.ufg.br:article/75967
network_acronym_str UFG-6
network_name_str Pesquisa Agropecuária Tropical (Online)
repository_id_str
spelling Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) MorroneEstimativa da diversidade genética em famílias de irmãos completos de capim-elefante Cenchrus purpureus (Schumach.) MorroneOne of the challenges of the energy sector is the identification of renewable resources with less impact on the environment and that are economically viable. This study aimed to estimate the genetic diversity of eleven full-sib families of elephant grass, using quantitative traits associated with bioenergy production. The trial followed a randomized blocks design, with four replications and each plot (family) consisting of five plants, totaling 220 genotypes. Five quantitative traits were measured: dry matter yield, dry matter percentage, plant height, stem diameter and number of tillers. The genetic diversity was estimated using multivariate methods (principal component analysis and hierarchical clustering). The analysis revealed a significant genetic diversity among the full-sib of elephant grass, with a greater variability observed for dry matter yield and number of tillers. The families 1, 2, 5, 7 and 8 exhibited superior genotypes for bioenergy production-related traits. The grouping analysis generated twenty clusters, enabling the differentiation of genotypes. Eight clusters comprised genotypes with a high dry matter yield and plant height, simultaneously, surpassing the overall mean for number of tillers. KEYWORDS: Bioenergy species, multivariate analyses, plant breeding, environmental sustainability.Um dos desafios do setor energético é a identificação de recursos renováveis com menor impacto ao meio ambiente e que sejam economicamente viáveis. Objetivou-se estimar a diversidade genética de onze famílias de irmãos completos de capim-elefante, utilizando-se características quantitativas associadas à produção de bioenergia. O ensaio foi conduzido em delineamento de blocos ao acaso, com quatro repetições, sendo cada parcela (família) composta por cinco plantas, totalizando 220 genótipos. Cinco características quantitativas foram mensuradas: produção de matéria seca, porcentagem de matéria seca, altura de planta, diâmetro de colmo e número de perfilhos. A estimativa da diversidade genética foi realizada por meio de métodos multivariados (componentes principais e agrupamento hierárquico). Observou-se que há diversidade genética em irmãos completos de capim-elefante, com maior amplitude de variabilidade para produção de matéria seca e número de perfilhos. As famílias 1, 2, 5, 7 e 8 apresentam genótipos superiores para características relacionadas à produção de bioenergia. Vinte grupos obtidos no agrupamento maximizaram a distinção dos genótipos. Oito grupos continham genótipos com alta produção de matéria seca e altura de planta, simultaneamente, além de valores acima da média geral para número de perfilhos. PALAVRAS-CHAVE: Espécie bioenergética, análises multivariadas, melhoramento de plantas, sustentabilidade ambiental.Escola de Agronomia - Universidade Federal de Goiás2023-07-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfhttps://revistas.ufg.br/pat/article/view/75967Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; Vol. 53 (2023); e75967Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); Vol. 53 (2023); e75967Pesquisa Agropecuária Tropical; v. 53 (2023); e759671983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGenghttps://revistas.ufg.br/pat/article/view/75967/40042Copyright (c) 2023 Pesquisa Agropecuária Tropicalinfo:eu-repo/semantics/openAccessSantana, Josefa Grasiela SilvaFarias, João Esdras CalaçaDaher, Rogério FigueiredoAmbrósio, MoisésLeite, Cleudiane LopesVidal, Ana Kesia FariaNascimento, Maxwel RodriguesSouza, Alexandre Gomes de2023-07-25T15:45:15Zoai:ojs.revistas.ufg.br:article/75967Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-05-21T19:56:39.391071Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) Morrone
Estimativa da diversidade genética em famílias de irmãos completos de capim-elefante Cenchrus purpureus (Schumach.) Morrone
title Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) Morrone
spellingShingle Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) Morrone
Santana, Josefa Grasiela Silva
title_short Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) Morrone
title_full Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) Morrone
title_fullStr Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) Morrone
title_full_unstemmed Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) Morrone
title_sort Estimation of genetic diversity in full-sib families of elephant grass Cenchrus purpureus (Schumach.) Morrone
author Santana, Josefa Grasiela Silva
author_facet Santana, Josefa Grasiela Silva
Farias, João Esdras Calaça
Daher, Rogério Figueiredo
Ambrósio, Moisés
Leite, Cleudiane Lopes
Vidal, Ana Kesia Faria
Nascimento, Maxwel Rodrigues
Souza, Alexandre Gomes de
author_role author
author2 Farias, João Esdras Calaça
Daher, Rogério Figueiredo
Ambrósio, Moisés
Leite, Cleudiane Lopes
Vidal, Ana Kesia Faria
Nascimento, Maxwel Rodrigues
Souza, Alexandre Gomes de
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santana, Josefa Grasiela Silva
Farias, João Esdras Calaça
Daher, Rogério Figueiredo
Ambrósio, Moisés
Leite, Cleudiane Lopes
Vidal, Ana Kesia Faria
Nascimento, Maxwel Rodrigues
Souza, Alexandre Gomes de
description One of the challenges of the energy sector is the identification of renewable resources with less impact on the environment and that are economically viable. This study aimed to estimate the genetic diversity of eleven full-sib families of elephant grass, using quantitative traits associated with bioenergy production. The trial followed a randomized blocks design, with four replications and each plot (family) consisting of five plants, totaling 220 genotypes. Five quantitative traits were measured: dry matter yield, dry matter percentage, plant height, stem diameter and number of tillers. The genetic diversity was estimated using multivariate methods (principal component analysis and hierarchical clustering). The analysis revealed a significant genetic diversity among the full-sib of elephant grass, with a greater variability observed for dry matter yield and number of tillers. The families 1, 2, 5, 7 and 8 exhibited superior genotypes for bioenergy production-related traits. The grouping analysis generated twenty clusters, enabling the differentiation of genotypes. Eight clusters comprised genotypes with a high dry matter yield and plant height, simultaneously, surpassing the overall mean for number of tillers. KEYWORDS: Bioenergy species, multivariate analyses, plant breeding, environmental sustainability.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-25
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufg.br/pat/article/view/75967
url https://revistas.ufg.br/pat/article/view/75967
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufg.br/pat/article/view/75967/40042
dc.rights.driver.fl_str_mv Copyright (c) 2023 Pesquisa Agropecuária Tropical
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Pesquisa Agropecuária Tropical
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
dc.source.none.fl_str_mv Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; Vol. 53 (2023); e75967
Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); Vol. 53 (2023); e75967
Pesquisa Agropecuária Tropical; v. 53 (2023); e75967
1983-4063
reponame:Pesquisa Agropecuária Tropical (Online)
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Pesquisa Agropecuária Tropical (Online)
collection Pesquisa Agropecuária Tropical (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv aseleguini.pat@gmail.com||mgoes@agro.ufg.br
_version_ 1799874821598740480