Adaptability and stability of biomass sorghum genotypes using GGE Biplot

Bibliographic Details
Main Author: Guerra, João Víctor Santos
Publication Date: 2024
Other Authors: Cavallin, Isabella Cristina, Parrella, Rafael Augusto da Costa, Carvalho, Abner José de, Portugal, Arley Figueiredo, Anjos, José de Ribamar Nazareno dos, Guedes, Fernando Lisboa, Godinho, Vicente de Paulo Campos
Format: Article
Language: eng
Source: Revista Caatinga
Download full: https://periodicos.ufersa.edu.br/caatinga/article/view/12509
Summary: The objective of this study was to evaluate the agronomic performance and select biomass sorghum genotypes for growing in different regions of Brazil based on adaptability and stability analysis using the GGE biplot method. The 25 genotypes evaluated were from trials of value for cultivation and use (VCU) of biomass sorghum of the Brazilian Agricultural Research Corporation (Embrapa Maize and Sorghum) Breeding Program, conducted in eight locations across Brazil (Sobral, CE; Jaguariúna and Narandiba, SP; Nova Porteirinha and Sete Lagoas, MG; Planaltina, DF; Vilhena, RO; and Terra Rica, PR) during the 2021-2022 crop season. A randomized block experimental design with three replications was used. The following traits of were subjected to joint analysis of variance: plant height, flowering, and fresh and dry matter yields. The confirmation of genotype-by-environment interaction (G×E) was followed by adaptability and stability analysis using the GGE biplot method for all traits. The adjusted means were used to obtain the mean clustering using the Scott-Knott test (p < 0.05). Biomass sorghum genotypes showed a longer growth cycle, taller plants, and higher biomass yield than forage sorghum genotypes. The experimental sorghum hybrids 202129B014 and 202129B016 and the commercial hybrid BRS 716 can be recommended for fresh and dry matter production in all tested environments due to their high adaptability and stability.
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spelling Adaptability and stability of biomass sorghum genotypes using GGE BiplotAdaptabilidade e estabilidade de genótipos de sorgo biomassa pelo método GGE BiplotSorghum bicolor. Melhoramento de plantas. Mega-ambientes. Forragem.Sorghum bicolor. Plant breeding. Mega-environments. Forage.The objective of this study was to evaluate the agronomic performance and select biomass sorghum genotypes for growing in different regions of Brazil based on adaptability and stability analysis using the GGE biplot method. The 25 genotypes evaluated were from trials of value for cultivation and use (VCU) of biomass sorghum of the Brazilian Agricultural Research Corporation (Embrapa Maize and Sorghum) Breeding Program, conducted in eight locations across Brazil (Sobral, CE; Jaguariúna and Narandiba, SP; Nova Porteirinha and Sete Lagoas, MG; Planaltina, DF; Vilhena, RO; and Terra Rica, PR) during the 2021-2022 crop season. A randomized block experimental design with three replications was used. The following traits of were subjected to joint analysis of variance: plant height, flowering, and fresh and dry matter yields. The confirmation of genotype-by-environment interaction (G×E) was followed by adaptability and stability analysis using the GGE biplot method for all traits. The adjusted means were used to obtain the mean clustering using the Scott-Knott test (p < 0.05). Biomass sorghum genotypes showed a longer growth cycle, taller plants, and higher biomass yield than forage sorghum genotypes. The experimental sorghum hybrids 202129B014 and 202129B016 and the commercial hybrid BRS 716 can be recommended for fresh and dry matter production in all tested environments due to their high adaptability and stability.O objetivo do estudo foi avaliar o desempenho agronômico e selecionar genótipos de sorgo biomassa para diferentes regiões do Brasil a partir da análise de adaptabilidade e estabilidade pelo método GGE Biplot. Foram avaliados 25 genótipos, que constituíram os ensaios de valor de cultivo e uso (VCU’s) de sorgo biomassa do Programa de Melhoramento da Embrapa Milho e Sorgo, conduzido em oito locais do Brasil (Sobral-CE, Jaguariúna-SP, Nova Porteirinha-MG, Planaltina-GO, Sete Lagoas-MG, Narandiba-SP, Vilhena-RO e Terra Rica-PR), na safra de 2021/2022. O delineamento experimental foi em blocos casualizados, com três repetições. Foram realizadas as análises de variância conjuntas para as características altura de plantas, florescimento e produtividades de matéria verde e seca. Constada interação (GxA), procedeu-se a análise de adaptabilidade e estabilidade pelo método de GGE Biplot, para todas as características. Com os valores de médias ajustadas, foram obtidos os agrupamentos de médias pelo teste de Scott-Knott (p < 0.05). Os genótipos de sorgo biomassa apresentam maior ciclo, bem como altura e produtividade de biomassa superior a genótipos de sorgo forrageiro. Os híbridos experimentais 202129B014 e 202129B016, bem como o híbrido comercial BRS 716 podem ser recomendados para todos os ambientes, pois apresentam alta adaptabilidade e estabilidade para todos os ambientes para a produção de matéria verde e seca.Universidade Federal Rural do Semi-Árido2024-10-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/1250910.1590/1983-21252025v3812509rcREVISTA CAATINGA; Vol. 38 (2025); e12509Revista Caatinga; v. 38 (2025); e125091983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/12509/11652Copyright (c) 2024 Revista Caatingainfo:eu-repo/semantics/openAccessGuerra, João Víctor SantosCavallin, Isabella CristinaParrella, Rafael Augusto da CostaCarvalho, Abner José dePortugal, Arley FigueiredoAnjos, José de Ribamar Nazareno dosGuedes, Fernando LisboaGodinho, Vicente de Paulo Campos2025-04-04T14:17:19Zoai:ojs.periodicos.ufersa.edu.br:article/12509Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2025-04-04T14:17:19Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)false
dc.title.none.fl_str_mv Adaptability and stability of biomass sorghum genotypes using GGE Biplot
Adaptabilidade e estabilidade de genótipos de sorgo biomassa pelo método GGE Biplot
title Adaptability and stability of biomass sorghum genotypes using GGE Biplot
spellingShingle Adaptability and stability of biomass sorghum genotypes using GGE Biplot
Guerra, João Víctor Santos
Sorghum bicolor. Melhoramento de plantas. Mega-ambientes. Forragem.
Sorghum bicolor. Plant breeding. Mega-environments. Forage.
title_short Adaptability and stability of biomass sorghum genotypes using GGE Biplot
title_full Adaptability and stability of biomass sorghum genotypes using GGE Biplot
title_fullStr Adaptability and stability of biomass sorghum genotypes using GGE Biplot
title_full_unstemmed Adaptability and stability of biomass sorghum genotypes using GGE Biplot
title_sort Adaptability and stability of biomass sorghum genotypes using GGE Biplot
author Guerra, João Víctor Santos
author_facet Guerra, João Víctor Santos
Cavallin, Isabella Cristina
Parrella, Rafael Augusto da Costa
Carvalho, Abner José de
Portugal, Arley Figueiredo
Anjos, José de Ribamar Nazareno dos
Guedes, Fernando Lisboa
Godinho, Vicente de Paulo Campos
author_role author
author2 Cavallin, Isabella Cristina
Parrella, Rafael Augusto da Costa
Carvalho, Abner José de
Portugal, Arley Figueiredo
Anjos, José de Ribamar Nazareno dos
Guedes, Fernando Lisboa
Godinho, Vicente de Paulo Campos
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Guerra, João Víctor Santos
Cavallin, Isabella Cristina
Parrella, Rafael Augusto da Costa
Carvalho, Abner José de
Portugal, Arley Figueiredo
Anjos, José de Ribamar Nazareno dos
Guedes, Fernando Lisboa
Godinho, Vicente de Paulo Campos
dc.subject.por.fl_str_mv Sorghum bicolor. Melhoramento de plantas. Mega-ambientes. Forragem.
Sorghum bicolor. Plant breeding. Mega-environments. Forage.
topic Sorghum bicolor. Melhoramento de plantas. Mega-ambientes. Forragem.
Sorghum bicolor. Plant breeding. Mega-environments. Forage.
description The objective of this study was to evaluate the agronomic performance and select biomass sorghum genotypes for growing in different regions of Brazil based on adaptability and stability analysis using the GGE biplot method. The 25 genotypes evaluated were from trials of value for cultivation and use (VCU) of biomass sorghum of the Brazilian Agricultural Research Corporation (Embrapa Maize and Sorghum) Breeding Program, conducted in eight locations across Brazil (Sobral, CE; Jaguariúna and Narandiba, SP; Nova Porteirinha and Sete Lagoas, MG; Planaltina, DF; Vilhena, RO; and Terra Rica, PR) during the 2021-2022 crop season. A randomized block experimental design with three replications was used. The following traits of were subjected to joint analysis of variance: plant height, flowering, and fresh and dry matter yields. The confirmation of genotype-by-environment interaction (G×E) was followed by adaptability and stability analysis using the GGE biplot method for all traits. The adjusted means were used to obtain the mean clustering using the Scott-Knott test (p < 0.05). Biomass sorghum genotypes showed a longer growth cycle, taller plants, and higher biomass yield than forage sorghum genotypes. The experimental sorghum hybrids 202129B014 and 202129B016 and the commercial hybrid BRS 716 can be recommended for fresh and dry matter production in all tested environments due to their high adaptability and stability.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-17
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://periodicos.ufersa.edu.br/caatinga/article/view/12509
10.1590/1983-21252025v3812509rc
url https://periodicos.ufersa.edu.br/caatinga/article/view/12509
identifier_str_mv 10.1590/1983-21252025v3812509rc
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/12509/11652
dc.rights.driver.fl_str_mv Copyright (c) 2024 Revista Caatinga
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Revista Caatinga
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
dc.source.none.fl_str_mv REVISTA CAATINGA; Vol. 38 (2025); e12509
Revista Caatinga; v. 38 (2025); e12509
1983-2125
0100-316X
reponame:Revista Caatinga
instname:Universidade Federal Rural do Semi-Árido (UFERSA)
instacron:UFERSA
instname_str Universidade Federal Rural do Semi-Árido (UFERSA)
instacron_str UFERSA
institution UFERSA
reponame_str Revista Caatinga
collection Revista Caatinga
repository.name.fl_str_mv Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)
repository.mail.fl_str_mv patricio@ufersa.edu.br|| caatinga@ufersa.edu.br
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