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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo; Embrapa Rondônia; Embrapa Unidades Centrais. |
Data corrente: |
14/03/2023 |
Data da última atualização: |
12/04/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
LIMA, J. A.; ROSSI, A, A. B.; SANTOS, T. de O.; PENNA, G. F.; TARDIN, F. D.; TRINDADE, R. dos S.; GUIMARAES, P. E. de O.; GODINHO, V. de P. C.; AMARAL JUNIOR, A. T. do; CORDEIRO, A. G. M.; SANTOS, R. C. dos; JESUS, M. S. F. de; POGALSKY, L. de S.; TIAGO, A. V.; PEDRI, E. M. de; FERREIRA, E. L.; ZANETTI, G. T. |
Afiliação: |
JOAMESON ANTUNES LIMA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; ANA APARECIDA BANDINI ROSSI, UNIVERSIDADE DO ESTADO DE MATO GROSSO; TALLES DE OLIVEIRA SANTOS, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; GUILHERME FERREIRA PENNA, UNIVERSIDADE DO ESTADO DE MATO GROSSO; FLAVIO DESSAUNE TARDIN, CNPMS; ROBERTO DOS SANTOS TRINDADE, CNPMS; PAULO EVARISTO DE O GUIMARAES, CNPMS; VICENTE DE PAULO CAMPOS GODINHO, CPAF-RO; ANTÔNIO TEIXEIRA DO AMARAL JUNIOR, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; ANGELO GABRIEL MENDES CORDEIRO, UNIVERSIDADE DO ESTADO DE MATO GROSSO; RENAN COLAVITE DOS SANTOS, UNIVERSIDADE DO ESTADO DE MATO GROSSO; MARRY SUELLY FERREIRA DE JESUS, UNIVERSIDADE DO ESTADO DE MATO GROSSO; LETÍCIA DE SOUZA POGALSKY, UNIVERSIDADE DO ESTADO DE MATO GROSSO; AUANA VICENTE TIAGO, UNIVERSIDADE DO ESTADO DE MATO GROSSO; ELIANE MORENO DE PEDRI, UNIVERSIDADE DO ESTADO DE MATO GROSSO; EDIMILSON LEONARDO FERREIRA, UNIVERSIDADE DO ESTADO DE MATO GROSSO; GÉSSICA TAIS ZANETTI, UNIVERSIDADE DO ESTADO DE MATO GROSSO. |
Título: |
Adaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplot. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 58, e02931, 2023. |
DOI: |
https://doi. org/10.1590/S1678-3921.pab2023.v58.02931 |
Idioma: |
Inglês |
Notas: |
Título em português: Adaptabilidade e estabilidade de híbridos de milho para o sul do bioma Amazônia via GGE biplot. |
Conteúdo: |
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 estimaram-se 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 macroambiente Sorriso e Vilhena; 1M1810 e 1O2106 para o ambiente Carlinda; e 1M1807 para o ambiente Sinop. MenosABSTRACT - 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... Mostrar Tudo |
Palavras-Chave: |
Análise multivariada. |
Thesagro: |
Genótipo; Milho Hibrido; Produtividade; Zea Mays. |
Thesaurus Nal: |
Genotype; Hybrids; Multivariate analysis. |
Categoria do assunto: |
-- F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152337/1/Adaptability-stability-corn-2023.pdf
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Marc: |
LEADER 04015naa a2200433 a 4500 001 2153091 005 2023-04-12 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi. org/10.1590/S1678-3921.pab2023.v58.02931$2DOI 100 1 $aLIMA, J. A. 245 $aAdaptability and stability of corn hybrids for the south of the Amazon biome via GGE biplot.$h[electronic resource] 260 $c2023 500 $aTítulo em português: Adaptabilidade e estabilidade de híbridos de milho para o sul do bioma Amazônia via GGE biplot. 520 $aABSTRACT - 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 estimaram-se 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 macroambiente Sorriso e Vilhena; 1M1810 e 1O2106 para o ambiente Carlinda; e 1M1807 para o ambiente Sinop. 650 $aGenotype 650 $aHybrids 650 $aMultivariate analysis 650 $aGenótipo 650 $aMilho Hibrido 650 $aProdutividade 650 $aZea Mays 653 $aAnálise multivariada 700 1 $aROSSI, A, A. B. 700 1 $aSANTOS, T. de O. 700 1 $aPENNA, G. F. 700 1 $aTARDIN, F. D. 700 1 $aTRINDADE, R. dos S. 700 1 $aGUIMARAES, P. E. de O. 700 1 $aGODINHO, V. de P. C. 700 1 $aAMARAL JUNIOR, A. T. do 700 1 $aCORDEIRO, A. G. M. 700 1 $aSANTOS, R. C. dos 700 1 $aJESUS, M. S. F. de 700 1 $aPOGALSKY, L. de S. 700 1 $aTIAGO, A. V. 700 1 $aPEDRI, E. M. de 700 1 $aFERREIRA, E. L. 700 1 $aZANETTI, G. T. 773 $tPesquisa Agropecuária Brasileira$gv. 58, e02931, 2023.
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Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
03/07/2017 |
Data da última atualização: |
09/08/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
SILVA, I. R. da; SOUZA, F. A. de; SILVA, D. K. A. da; OEHL, F.; MAIA, L. C. |
Afiliação: |
FRANCISCO ADRIANO DE SOUZA, CNPMS. |
Título: |
Patterns of arbuscular mycorrhizal fungal distribution on mainland and island sandy coastal plain ecosystems in Brazil. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Microbial Ecology, New York, v. 74, n. 3, p. 654-669, 2017. |
DOI: |
10.1007/s00248-017-0979-x |
Idioma: |
Inglês |
Notas: |
Publicado online em 11 abr. 2017. |
Conteúdo: |
Although sandy coastal plains are important buffer zones to protect the coast line and maintain biological diversity and ecosystem services, these ecosystems have been endangered by anthropogenic activities. Thus, information on coastal biodiversity and forces shaping coastal biological diversity are extremely important for effective conservation strategies. In this study, we aimed to compare arbuscular mycorrhizal (AM) fungal communities from soil samples collected on the mainland and nearby islands located in Brazilian sandy coastal plain ecosystems (Restingas) to get information about AM fungal biogeography and identify factors shaping these communities. Soil samples were collected in 2013 and 2014 on the beachfront of the tropical sandy coastal plain at six sites (three island and three mainland locations) across the northeast, southeast, and south regions of Brazil. Overall, we recorded 53 AM fungal species from field and trap culture samples. The richness and diversity of AM fungal species did not differ between mainland and island locations, but AM fungal community assemblages were different between mainland and island environments and among most sites sampled. Glomeromycota communities registered from island samples showed higher heterogeneity than communities from mainland samples. Sandy coastal plains harbor diverse AM fungal communities structured by climatic, edaphic, and spatial factors, while the distance from the colonizing source (mainland environments) does not strongly affect the AM fungal communities in Brazilian coastal environments. MenosAlthough sandy coastal plains are important buffer zones to protect the coast line and maintain biological diversity and ecosystem services, these ecosystems have been endangered by anthropogenic activities. Thus, information on coastal biodiversity and forces shaping coastal biological diversity are extremely important for effective conservation strategies. In this study, we aimed to compare arbuscular mycorrhizal (AM) fungal communities from soil samples collected on the mainland and nearby islands located in Brazilian sandy coastal plain ecosystems (Restingas) to get information about AM fungal biogeography and identify factors shaping these communities. Soil samples were collected in 2013 and 2014 on the beachfront of the tropical sandy coastal plain at six sites (three island and three mainland locations) across the northeast, southeast, and south regions of Brazil. Overall, we recorded 53 AM fungal species from field and trap culture samples. The richness and diversity of AM fungal species did not differ between mainland and island locations, but AM fungal community assemblages were different between mainland and island environments and among most sites sampled. Glomeromycota communities registered from island samples showed higher heterogeneity than communities from mainland samples. Sandy coastal plains harbor diverse AM fungal communities structured by climatic, edaphic, and spatial factors, while the distance from the colonizing source (mainland environments) does ... Mostrar Tudo |
Thesagro: |
Fungo; Micorriza Vesicular Arbuscular. |
Thesaurus NAL: |
Vesicular arbuscular mycorrhizae. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02341naa a2200229 a 4500 001 2071900 005 2018-08-09 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1007/s00248-017-0979-x$2DOI 100 1 $aSILVA, I. R. da 245 $aPatterns of arbuscular mycorrhizal fungal distribution on mainland and island sandy coastal plain ecosystems in Brazil.$h[electronic resource] 260 $c2017 500 $aPublicado online em 11 abr. 2017. 520 $aAlthough sandy coastal plains are important buffer zones to protect the coast line and maintain biological diversity and ecosystem services, these ecosystems have been endangered by anthropogenic activities. Thus, information on coastal biodiversity and forces shaping coastal biological diversity are extremely important for effective conservation strategies. In this study, we aimed to compare arbuscular mycorrhizal (AM) fungal communities from soil samples collected on the mainland and nearby islands located in Brazilian sandy coastal plain ecosystems (Restingas) to get information about AM fungal biogeography and identify factors shaping these communities. Soil samples were collected in 2013 and 2014 on the beachfront of the tropical sandy coastal plain at six sites (three island and three mainland locations) across the northeast, southeast, and south regions of Brazil. Overall, we recorded 53 AM fungal species from field and trap culture samples. The richness and diversity of AM fungal species did not differ between mainland and island locations, but AM fungal community assemblages were different between mainland and island environments and among most sites sampled. Glomeromycota communities registered from island samples showed higher heterogeneity than communities from mainland samples. Sandy coastal plains harbor diverse AM fungal communities structured by climatic, edaphic, and spatial factors, while the distance from the colonizing source (mainland environments) does not strongly affect the AM fungal communities in Brazilian coastal environments. 650 $aVesicular arbuscular mycorrhizae 650 $aFungo 650 $aMicorriza Vesicular Arbuscular 700 1 $aSOUZA, F. A. de 700 1 $aSILVA, D. K. A. da 700 1 $aOEHL, F. 700 1 $aMAIA, L. C. 773 $tMicrobial Ecology, New York$gv. 74, n. 3, p. 654-669, 2017.
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