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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
19/03/1997 |
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Data da última atualização: |
15/06/2018 |
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Autoria: |
RODRIGUES, J. A. S.; SANTOS, F. G. dos. |
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Afiliação: |
JOSE AVELINO SANTOS RODRIGUES, CNPMS. |
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Título: |
Ensaio nacional de sorgo. |
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Ano de publicação: |
1994 |
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Fonte/Imprenta: |
In: EMBRAPA. Centro de Nacional de Pesquisa de Milho e Sorgo. Relatório técnico anual do Centro Nacional de Pesquisa de Milho e Sorgo 1992-1993. Sete Lagoas, 1994. p. 237-241. |
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Idioma: |
Português |
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Palavras-Chave: |
Cultivares. |
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Thesagro: |
Fitotecnia; Melhoramento; Sorghum Bicolor; Sorgo. |
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Thesaurus Nal: |
breeding; varieties. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/48694/1/Ensaio-nacional-2.pdf
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Marc: |
LEADER 00660naa a2200205 a 4500
001 1474787
005 2018-06-15
008 1994 bl uuuu u00u1 u #d
100 1 $aRODRIGUES, J. A. S.
245 $aEnsaio nacional de sorgo.$h[electronic resource]
260 $c1994
650 $abreeding
650 $avarieties
650 $aFitotecnia
650 $aMelhoramento
650 $aSorghum Bicolor
650 $aSorgo
653 $aCultivares
700 1 $aSANTOS, F. G. dos
773 $tIn: EMBRAPA. Centro de Nacional de Pesquisa de Milho e Sorgo. Relatório técnico anual do Centro Nacional de Pesquisa de Milho e Sorgo 1992-1993. Sete Lagoas, 1994. p. 237-241.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
20/01/2022 |
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Data da última atualização: |
20/01/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I. F.; ALVES, R. S.; SILVA, F. F. e; RESENDE, M. D. V. de; SILVA, F. L. da; BHERING, L. L. |
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Afiliação: |
JENIFFER SANTANA PINTO COELHO EVANGELISTA, UFV; MARCO ANTÔNIO PEIXOTO, UFV; IGOR FERREIRA COELHO, UFV; RODRIGO SILVA ALVES, UFV; FABYANO FONSECA E SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; FELIPE LOPES DA SILVA, UFV; LEONARDO LOPES BHERING, UFV. |
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Título: |
Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 21, n. 1, e359721111, 2021. |
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DOI: |
https://doi.org/10.1590/1984-70332021v21n1a11 |
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Idioma: |
Inglês |
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Conteúdo: |
The genotype × environment (G×E) interaction plays an essential role in phenotypic expression and can lead to difficulties in genotypes recommendation. Thus, the objectives of this study were: i) propose the Multi-Environment Index Based on Factor Analysis and Ideotype-Design/Markov Chain Monte Carlo (FAI/MCMC index), and ii) apply it for soybean genotypes recommendation. To this end, a data set with 30 soybean genotypes evaluated in 10 environments for grain yield trait was used. Variance components, genetic parameters and genetic values were estimated through MCMC algorithm. Environmental stratification was conducted by factor analyses and the selection of soybean genotypes was performed using the FAI/MCMC index. The results indicated the existence of genotypic variability and G×E interaction. The environments were grouped into three factors. The predicted genetic gains from indirect selection was 4.81%. Thus, our results suggest that the FAI/MCMC index can be successfully used in soybean breeding. |
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Thesagro: |
Genótipo; Glycine Soja; Soja. |
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Thesaurus NAL: |
Bayesian theory; Genotype; Seed stratification; Soybeans. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230409/1/environmental-stratification-and-genotype.pdf
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Marc: |
LEADER 01935naa a2200301 a 4500
001 2139213
005 2022-01-20
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/1984-70332021v21n1a11$2DOI
100 1 $aEVANGELISTA, J. S. P. C.
245 $aEnvironmental stratification and genotype recommendation toward the soybean ideotype$ba Bayesian approach.$h[electronic resource]
260 $c2021
520 $aThe genotype × environment (G×E) interaction plays an essential role in phenotypic expression and can lead to difficulties in genotypes recommendation. Thus, the objectives of this study were: i) propose the Multi-Environment Index Based on Factor Analysis and Ideotype-Design/Markov Chain Monte Carlo (FAI/MCMC index), and ii) apply it for soybean genotypes recommendation. To this end, a data set with 30 soybean genotypes evaluated in 10 environments for grain yield trait was used. Variance components, genetic parameters and genetic values were estimated through MCMC algorithm. Environmental stratification was conducted by factor analyses and the selection of soybean genotypes was performed using the FAI/MCMC index. The results indicated the existence of genotypic variability and G×E interaction. The environments were grouped into three factors. The predicted genetic gains from indirect selection was 4.81%. Thus, our results suggest that the FAI/MCMC index can be successfully used in soybean breeding.
650 $aBayesian theory
650 $aGenotype
650 $aSeed stratification
650 $aSoybeans
650 $aGenótipo
650 $aGlycine Soja
650 $aSoja
700 1 $aPEIXOTO, M. A.
700 1 $aCOELHO, I. F.
700 1 $aALVES, R. S.
700 1 $aSILVA, F. F. e
700 1 $aRESENDE, M. D. V. de
700 1 $aSILVA, F. L. da
700 1 $aBHERING, L. L.
773 $tCrop Breeding and Applied Biotechnology$gv. 21, n. 1, e359721111, 2021.
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Registro original: |
Embrapa Café (CNPCa) |
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