Agronomic performance, adaptability and stability of biomass sorghum genotypes in different regions of Brazil, using the Annicchiarico method

ABSTRACT: This study assessed the agronomic performance and estimate the adaptability and stability of biomass sorghum genotypes in different regions of Brazil. Twenty-five sorghum genotypes were evaluated in experiments conducted in Goiânia (Goiás State-GO), Sobral (Ceará state-CE), Jaguariúna (São...

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Main Authors: João Víctor Santos Guerra, Rafael Augusto da Costa Parrella, Isabella Cristina Cavallin, Abner José de Carvalho, Arley Figueiredo Portugal, José de Ribamar Nazareno dos Anjos, Fernando Lisboa Guedes, Vicente de Paulo Campos Godinho
Format: Article
Language:English
Published: Universidade Federal de Santa Maria 2025-03-01
Series:Ciência Rural
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782025000600402&lng=en&tlng=en
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author João Víctor Santos Guerra
Rafael Augusto da Costa Parrella
Isabella Cristina Cavallin
Abner José de Carvalho
Arley Figueiredo Portugal
José de Ribamar Nazareno dos Anjos
Fernando Lisboa Guedes
Vicente de Paulo Campos Godinho
author_facet João Víctor Santos Guerra
Rafael Augusto da Costa Parrella
Isabella Cristina Cavallin
Abner José de Carvalho
Arley Figueiredo Portugal
José de Ribamar Nazareno dos Anjos
Fernando Lisboa Guedes
Vicente de Paulo Campos Godinho
author_sort João Víctor Santos Guerra
collection DOAJ
description ABSTRACT: This study assessed the agronomic performance and estimate the adaptability and stability of biomass sorghum genotypes in different regions of Brazil. Twenty-five sorghum genotypes were evaluated in experiments conducted in Goiânia (Goiás State-GO), Sobral (Ceará state-CE), Jaguariúna (São Paulo State-SP), Nova Porteirinha (Minas Gerais State-MG), Planaltina (GO), Sete Lagoas (MG), Narandiba (SP), Vilhena Rondônia State (RO) and Terra Rica (Paraná State-PR), in the 2021/2022 growing season. A randomized block design was used, with three repetitions. Pooled analysis of variance was conducted for the traits plant height, flowering, dry and fresh matter yield, and dry matter content. The adjusted means were grouped by the Scott-Knott test (P < 0.05). Adaptability and stability were evaluated using Annicchiarico’s method. Biomass sorghum genotypes have a longer cycle, greater height and higher yields than their forage sorghum counterparts. The experimental hybrids 202129B014 and 202129B016 and commercial hybrid BRS 716 exhibited high dry and fresh matter yields, general adaptability and high stability for all the environments studied.
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spelling doaj-art-d18e472ba4ea4c10a6474732158e12b22025-08-20T03:15:55ZengUniversidade Federal de Santa MariaCiência Rural1678-45962025-03-0155610.1590/0103-8478cr20230681Agronomic performance, adaptability and stability of biomass sorghum genotypes in different regions of Brazil, using the Annicchiarico methodJoão Víctor Santos Guerrahttps://orcid.org/0000-0002-9719-1602Rafael Augusto da Costa Parrellahttps://orcid.org/0000-0001-6599-7487Isabella Cristina Cavallinhttps://orcid.org/0009-0001-5097-0844Abner José de Carvalhohttps://orcid.org/0000-0002-6644-5307Arley Figueiredo Portugalhttps://orcid.org/0000-0001-6056-3233José de Ribamar Nazareno dos Anjoshttps://orcid.org/0000-0003-0846-1904Fernando Lisboa Guedeshttps://orcid.org/0000-0002-7363-4747Vicente de Paulo Campos Godinhohttps://orcid.org/0000-0002-5211-9439ABSTRACT: This study assessed the agronomic performance and estimate the adaptability and stability of biomass sorghum genotypes in different regions of Brazil. Twenty-five sorghum genotypes were evaluated in experiments conducted in Goiânia (Goiás State-GO), Sobral (Ceará state-CE), Jaguariúna (São Paulo State-SP), Nova Porteirinha (Minas Gerais State-MG), Planaltina (GO), Sete Lagoas (MG), Narandiba (SP), Vilhena Rondônia State (RO) and Terra Rica (Paraná State-PR), in the 2021/2022 growing season. A randomized block design was used, with three repetitions. Pooled analysis of variance was conducted for the traits plant height, flowering, dry and fresh matter yield, and dry matter content. The adjusted means were grouped by the Scott-Knott test (P < 0.05). Adaptability and stability were evaluated using Annicchiarico’s method. Biomass sorghum genotypes have a longer cycle, greater height and higher yields than their forage sorghum counterparts. The experimental hybrids 202129B014 and 202129B016 and commercial hybrid BRS 716 exhibited high dry and fresh matter yields, general adaptability and high stability for all the environments studied.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782025000600402&lng=en&tlng=enSorghum bicolorplant breedingG-E interactionforagebioenergy
spellingShingle João Víctor Santos Guerra
Rafael Augusto da Costa Parrella
Isabella Cristina Cavallin
Abner José de Carvalho
Arley Figueiredo Portugal
José de Ribamar Nazareno dos Anjos
Fernando Lisboa Guedes
Vicente de Paulo Campos Godinho
Agronomic performance, adaptability and stability of biomass sorghum genotypes in different regions of Brazil, using the Annicchiarico method
Ciência Rural
Sorghum bicolor
plant breeding
G-E interaction
forage
bioenergy
title Agronomic performance, adaptability and stability of biomass sorghum genotypes in different regions of Brazil, using the Annicchiarico method
title_full Agronomic performance, adaptability and stability of biomass sorghum genotypes in different regions of Brazil, using the Annicchiarico method
title_fullStr Agronomic performance, adaptability and stability of biomass sorghum genotypes in different regions of Brazil, using the Annicchiarico method
title_full_unstemmed Agronomic performance, adaptability and stability of biomass sorghum genotypes in different regions of Brazil, using the Annicchiarico method
title_short Agronomic performance, adaptability and stability of biomass sorghum genotypes in different regions of Brazil, using the Annicchiarico method
title_sort agronomic performance adaptability and stability of biomass sorghum genotypes in different regions of brazil using the annicchiarico method
topic Sorghum bicolor
plant breeding
G-E interaction
forage
bioenergy
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782025000600402&lng=en&tlng=en
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