Adaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplot

Abstract The objective of this work was to select maize hybrids using the GGE biplot analysis, as well as to evaluate their stability and adaptability in different environments of the North and Midwest regions of Brazil. Thirty-six maize hybrids were evaluated in 2018, in the following five environm...

Full description

Bibliographic Details
Main Authors: Joameson Antunes Lima, Ana Aparecida Bandini Rossi, Talles de Oliveira Santos, Guilherme Ferreira Penna, Flávio Dessaune Tardin, Roberto dos Santos Trindade, Paulo Evaristo de Oliveira Guimarães, Vicente de Paulo Campos Godinho, Antônio Teixeira do Amaral Junior, Angelo Gabriel Mendes Cordeiro, Renan Colavite dos Santos, Marry Suelly Ferreira de Jesus, Letícia de Souza Pogalsky, Auana Vicente Tiago, Eliane Moreno de Pedri, Edimilson Leonardo Ferreira, Géssica Tais Zanetti
Format: Article
Language:English
Published: Embrapa Informação Tecnológica 2023-03-01
Series:Pesquisa Agropecuária Brasileira
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2023000102902&lng=en&tlng=en
_version_ 1797871154624462848
author Joameson Antunes Lima
Ana Aparecida Bandini Rossi
Talles de Oliveira Santos
Guilherme Ferreira Penna
Flávio Dessaune Tardin
Roberto dos Santos Trindade
Paulo Evaristo de Oliveira Guimarães
Vicente de Paulo Campos Godinho
Antônio Teixeira do Amaral Junior
Angelo Gabriel Mendes Cordeiro
Renan Colavite dos Santos
Marry Suelly Ferreira de Jesus
Letícia de Souza Pogalsky
Auana Vicente Tiago
Eliane Moreno de Pedri
Edimilson Leonardo Ferreira
Géssica Tais Zanetti
author_facet Joameson Antunes Lima
Ana Aparecida Bandini Rossi
Talles de Oliveira Santos
Guilherme Ferreira Penna
Flávio Dessaune Tardin
Roberto dos Santos Trindade
Paulo Evaristo de Oliveira Guimarães
Vicente de Paulo Campos Godinho
Antônio Teixeira do Amaral Junior
Angelo Gabriel Mendes Cordeiro
Renan Colavite dos Santos
Marry Suelly Ferreira de Jesus
Letícia de Souza Pogalsky
Auana Vicente Tiago
Eliane Moreno de Pedri
Edimilson Leonardo Ferreira
Géssica Tais Zanetti
author_sort Joameson Antunes Lima
collection DOAJ
description Abstract The objective of this work was to select maize hybrids using the GGE biplot analysis, as well as to evaluate their stability and adaptability in different environments of the North and Midwest regions of Brazil. Thirty-six maize hybrids were evaluated in 2018, in the following five environments in the Northern and Midwestern regions, respectively: in the municipality of Vilhena, in the state of Rondônia; and in the municipalities of Sorriso, Sinop, Alta Floresta, and Carlinda, in the Northern region of the state of Mato Grosso. The experimental design was a randomized complete block design. The analysis of variance was performed, and adaptability and stability were estimated by the GGE biplot method based on grain yield performance. A significant interaction between genotypes and environments was detected, and the biplot analysis was efficient in explaining 62.74% of the total variation in the first two principal components, with the formation of three macroenvironments. The 1P2227, 'BRS 3042', and 1P2265 hybrids showed high yield, responsiveness, and stability in the evaluated environments. The DKB310VTPRO2 hybrid was the most unstable genotype. The recommended hybrids are: DKB310 for the Sorriso and Vilhena macroenvironment; 1M1810 and 1O2106 for the Carlinda environment; and 1M1807 for the Sinop environment.
first_indexed 2024-04-10T00:39:43Z
format Article
id doaj.art-8c79271f44bd4af3bf5067a34146cd0d
institution Directory Open Access Journal
issn 1678-3921
language English
last_indexed 2024-04-10T00:39:43Z
publishDate 2023-03-01
publisher Embrapa Informação Tecnológica
record_format Article
series Pesquisa Agropecuária Brasileira
spelling doaj.art-8c79271f44bd4af3bf5067a34146cd0d2023-03-14T07:31:58ZengEmbrapa Informação TecnológicaPesquisa Agropecuária Brasileira1678-39212023-03-015810.1590/s1678-3921.pab2023.v58.02931Adaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplotJoameson Antunes Limahttps://orcid.org/0000-0001-8711-8252Ana Aparecida Bandini Rossihttps://orcid.org/0000-0002-8318-5375Talles de Oliveira Santoshttps://orcid.org/0000-0003-0473-4282Guilherme Ferreira Pennahttps://orcid.org/0000-0002-9280-6911Flávio Dessaune Tardinhttps://orcid.org/0000-0001-5755-2728Roberto dos Santos Trindadehttps://orcid.org/0000-0003-4967-245XPaulo Evaristo de Oliveira Guimarãeshttps://orcid.org/0000-0002-9931-7942Vicente de Paulo Campos Godinhohttps://orcid.org/0000-0002-5211-9439Antônio Teixeira do Amaral Juniorhttps://orcid.org/0000-0003-4831-7878Angelo Gabriel Mendes Cordeirohttps://orcid.org/0000-0003-2657-7994Renan Colavite dos Santoshttps://orcid.org/0000-0002-6048-6028Marry Suelly Ferreira de Jesushttps://orcid.org/0000-0001-8100-9899Letícia de Souza Pogalskyhttps://orcid.org/0000-0002-8925-2081Auana Vicente Tiagohttps://orcid.org/0000-0001-9556-9491Eliane Moreno de Pedrihttps://orcid.org/0000-0002-7044-581XEdimilson Leonardo Ferreirahttps://orcid.org/0000-0001-5398-4347Géssica Tais Zanettihttps://orcid.org/0000-0002-0950-7073Abstract The objective of this work was to select maize hybrids using the GGE biplot analysis, as well as to evaluate their stability and adaptability in different environments of the North and Midwest regions of Brazil. Thirty-six maize hybrids were evaluated in 2018, in the following five environments in the Northern and Midwestern regions, respectively: in the municipality of Vilhena, in the state of Rondônia; and in the municipalities of Sorriso, Sinop, Alta Floresta, and Carlinda, in the Northern region of the state of Mato Grosso. The experimental design was a randomized complete block design. The analysis of variance was performed, and adaptability and stability were estimated by the GGE biplot method based on grain yield performance. A significant interaction between genotypes and environments was detected, and the biplot analysis was efficient in explaining 62.74% of the total variation in the first two principal components, with the formation of three macroenvironments. The 1P2227, 'BRS 3042', and 1P2265 hybrids showed high yield, responsiveness, and stability in the evaluated environments. The DKB310VTPRO2 hybrid was the most unstable genotype. The recommended hybrids are: DKB310 for the Sorriso and Vilhena macroenvironment; 1M1810 and 1O2106 for the Carlinda environment; and 1M1807 for the Sinop environment.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2023000102902&lng=en&tlng=enZea maysG×E interactionmultivariate analysismultienvironments
spellingShingle Joameson Antunes Lima
Ana Aparecida Bandini Rossi
Talles de Oliveira Santos
Guilherme Ferreira Penna
Flávio Dessaune Tardin
Roberto dos Santos Trindade
Paulo Evaristo de Oliveira Guimarães
Vicente de Paulo Campos Godinho
Antônio Teixeira do Amaral Junior
Angelo Gabriel Mendes Cordeiro
Renan Colavite dos Santos
Marry Suelly Ferreira de Jesus
Letícia de Souza Pogalsky
Auana Vicente Tiago
Eliane Moreno de Pedri
Edimilson Leonardo Ferreira
Géssica Tais Zanetti
Adaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplot
Pesquisa Agropecuária Brasileira
Zea mays
G×E interaction
multivariate analysis
multienvironments
title Adaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplot
title_full Adaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplot
title_fullStr Adaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplot
title_full_unstemmed Adaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplot
title_short Adaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplot
title_sort adaptability and stability of corn hybrids for the south of the amazon biome via gge biplot
topic Zea mays
G×E interaction
multivariate analysis
multienvironments
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2023000102902&lng=en&tlng=en
work_keys_str_mv AT joamesonantuneslima adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT anaaparecidabandinirossi adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT tallesdeoliveirasantos adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT guilhermeferreirapenna adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT flaviodessaunetardin adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT robertodossantostrindade adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT pauloevaristodeoliveiraguimaraes adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT vicentedepaulocamposgodinho adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT antonioteixeiradoamaraljunior adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT angelogabrielmendescordeiro adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT renancolavitedossantos adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT marrysuellyferreiradejesus adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT leticiadesouzapogalsky adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT auanavicentetiago adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT elianemorenodepedri adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT edimilsonleonardoferreira adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot
AT gessicataiszanetti adaptabilityandstabilityofcornhybridsforthesouthoftheamazonbiomeviaggebiplot