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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
20/12/2019 |
Data da última atualização: |
20/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
OLIVEIRA, T. R. A. de; CARVALHO, H. W. L. de; OLIVEIRA, G. H. F.; COSTA, E. F. N.; GRAVINA, G. de A.; SANTOS, R. D. dos; CARVALHO FILHO, J. L. S. de. |
Afiliação: |
Tâmara Rebecca Albuquerque de Oliveira; Hélio Wilson Lemos de Carvalho; Gustavo Hugo Ferreira Oliveira; Emiliano Fernandes Nassau Costa; Geraldo de Amaral Gravina; RAFAEL DANTAS DOS SANTOS, CPATSA; José Luiz Sandes de Carvalho Filho. |
Título: |
Hybrid maize selection through GGE biplot analysis. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Bragantia, v. 78, n. 2, p. 166-174, 2019. |
DOI: |
10.1590/1678-4499.20170438 |
Idioma: |
Inglês |
Conteúdo: |
The cultivation of genotypes non-adapted to the cultivation region of interest is among the main factors responsible for low yield. The aim of the present study is to select hybrid maize through GGE biplot analysis and to assess its adaptability and stability in different environments in Northeastern Brazil. Twenty-five hybrid maize cultivars were assessed in ten different environments in Northeastern Brazil in 2012 and 2013 based on the randomized block design, with two replications. The analysis of variance and assessment of genotype adaptability and stability were made through GGE biplot analysis, based on grain yield. Analysis of variance results showed different performances depending on the genotype, as well as genotype/environment interaction. The biplot analysis was efficient on data interpretation and represented 63.73% of the total variation in the first two main components, it also allowed classifying the ten environments into three macro-environments. Most environments were positively correlated. Hybrids 2 B 604 HX, 30 A 95 HX, 2 B 587 HX and 2 B 710 HX were responsive and stable. Hybrid 30 A 16 HX was recommended for macro-environments2 and 3. Cultivar 30 A 68 HX was recommended to environment 1. São Raimundo das Mangabeiras and Nova Santa Rosa counties were discriminating and representative. Nossa Senhora das Dores, Umbaúba, Teresina, Brejo, Frei Paulo, Colinas and Balsa counties were ambiguous and non-recommended for further evaluations. |
Palavras-Chave: |
Análise biplot GGE; Analise multivariada; Melhoramento de plantas; Seleção híbrida. |
Thesagro: |
Melhoramento Genético Vegetal; Milho. |
Thesaurus Nal: |
Plant breeding. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/207646/1/Hybrid-maize-selection-through-GGE-biplot-analysis-2019.pdf
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Marc: |
LEADER 02338naa a2200289 a 4500 001 2117410 005 2019-12-20 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1590/1678-4499.20170438$2DOI 100 1 $aOLIVEIRA, T. R. A. de 245 $aHybrid maize selection through GGE biplot analysis.$h[electronic resource] 260 $c2019 520 $aThe cultivation of genotypes non-adapted to the cultivation region of interest is among the main factors responsible for low yield. The aim of the present study is to select hybrid maize through GGE biplot analysis and to assess its adaptability and stability in different environments in Northeastern Brazil. Twenty-five hybrid maize cultivars were assessed in ten different environments in Northeastern Brazil in 2012 and 2013 based on the randomized block design, with two replications. The analysis of variance and assessment of genotype adaptability and stability were made through GGE biplot analysis, based on grain yield. Analysis of variance results showed different performances depending on the genotype, as well as genotype/environment interaction. The biplot analysis was efficient on data interpretation and represented 63.73% of the total variation in the first two main components, it also allowed classifying the ten environments into three macro-environments. Most environments were positively correlated. Hybrids 2 B 604 HX, 30 A 95 HX, 2 B 587 HX and 2 B 710 HX were responsive and stable. Hybrid 30 A 16 HX was recommended for macro-environments2 and 3. Cultivar 30 A 68 HX was recommended to environment 1. São Raimundo das Mangabeiras and Nova Santa Rosa counties were discriminating and representative. Nossa Senhora das Dores, Umbaúba, Teresina, Brejo, Frei Paulo, Colinas and Balsa counties were ambiguous and non-recommended for further evaluations. 650 $aPlant breeding 650 $aMelhoramento Genético Vegetal 650 $aMilho 653 $aAnálise biplot GGE 653 $aAnalise multivariada 653 $aMelhoramento de plantas 653 $aSeleção híbrida 700 1 $aCARVALHO, H. W. L. de 700 1 $aOLIVEIRA, G. H. F. 700 1 $aCOSTA, E. F. N. 700 1 $aGRAVINA, G. de A. 700 1 $aSANTOS, R. D. dos 700 1 $aCARVALHO FILHO, J. L. S. de 773 $tBragantia$gv. 78, n. 2, p. 166-174, 2019.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
03/11/2017 |
Data da última atualização: |
13/04/2021 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
OLIVEIRA, M. C.; SILVA, A. O.; FERNANDES, T. A.; VALICENTE, F. H.; GOMES, E. A.; FIGUEIREDO, J. E. F.; OLIVEIRA-PAIVA, C. A. |
Afiliação: |
MAYCON CAMPOS OLIVEIRA, CNPMS; FERNANDO HERCOS VALICENTE, CNPMS; ELIANE APARECIDA GOMES, CNPMS; JOSE EDSON FONTES FIGUEIREDO, CNPMS; CHRISTIANE ABREU DE OLIVEIRA PAIVA, CNPMS. |
Título: |
Long-term preservation and data management of the Embrapa Milho e Sorgo Bacillus thuringiensis culture collection. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 29.; ENCONTRO NACIONAL DE MICROBIOLOGIA AMBIENTAL, 15., 2017, Foz do Iguaçu. Resumos... São Paulo: Sociedade Brasileira de Microbiologia, 2017. |
Idioma: |
Inglês |
Thesagro: |
Bactéria; Banco de germoplasma; Controle biológico. |
Thesaurus NAL: |
Biological control; Entomopathogenic bacteria. |
Categoria do assunto: |
S Ciências Biológicas |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/166026/1/Long-term.pdf
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Marc: |
LEADER 00887nam a2200229 a 4500 001 2078771 005 2021-04-13 008 2017 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, M. C. 245 $aLong-term preservation and data management of the Embrapa Milho e Sorgo Bacillus thuringiensis culture collection.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 29.; ENCONTRO NACIONAL DE MICROBIOLOGIA AMBIENTAL, 15., 2017, Foz do Iguaçu. Resumos... São Paulo: Sociedade Brasileira de Microbiologia$c2017 650 $aBiological control 650 $aEntomopathogenic bacteria 650 $aBactéria 650 $aBanco de germoplasma 650 $aControle biológico 700 1 $aSILVA, A. O. 700 1 $aFERNANDES, T. A. 700 1 $aVALICENTE, F. H. 700 1 $aGOMES, E. A. 700 1 $aFIGUEIREDO, J. E. F. 700 1 $aOLIVEIRA-PAIVA, C. A.
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