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...

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Veröffentlicht in:Pesquisa agropecuaria brasileira 2023-01, Vol.58
Hauptverfasser: Lima, Joameson Antunes, Rossi, Ana Aparecida Bandini, Santos, Talles de Oliveira, Penna, Guilherme Ferreira, Tardin, Flávio Dessaune, Trindade, Roberto dos Santos, Guimarães, Paulo Evaristo de Oliveira, Godinho, Vicente de Paulo Campos, Amaral Junior, Antônio Teixeira do, Cordeiro, Angelo Gabriel Mendes, Santos, Renan Colavite dos, Jesus, Marry Suelly Ferreira de, Pogalsky, Letícia de Souza, Tiago, Auana Vicente, Pedri, Eliane Moreno de, Ferreira, Edimilson Leonardo, Zanetti, Géssica Tais
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Sprache:eng
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Zusammenfassung: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. Resumo O objetivo deste trabalho foi selecionar híbridos de milho, por meio da análise GGE biplot, bem como avaliar sua estabilidade e adaptabilidade em diferentes ambientes das regiões Centro-Oeste e Norte do Brasil. Trinta e seis híbridos de milho foram avaliados em 2018, nos seguintes cinco ambientes das regiões Norte e Centro-Oeste, respectivamente: no município de Vilhena, no estado de Rondônia; e nos municípios de Sorriso, Sinop, Alta Floresta e Carlinda, na região norte do estado de Mato Grosso. O delineamento experimental foi em blocos completos ao acaso. Realizou-se a análise de variância, e estimaramse a adaptabilidade e a estabilidade pelo método GGE biplot com base na produtividade. Detectou-se interação significativa entre genótipos e ambientes, e a análise biplot foi eficiente para explicar 62,74% da variação total nos dois primeiros componentes principais, com a formação de três macroambientes. Os híbridos 1P2227, 'BRS 3042' e 1P2265 apresentam alta produtividade, capacidade de resposta e estabilidade nos ambientes avaliados. O híbrido DKB310VTPRO2 foi o genótipo mais instável. Os híbridos recomendados são: DKB310 para o macr
ISSN:0100-204X
1678-3921
1678-3921
DOI:10.1590/s1678-3921.pab2023.v58.02931