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| Registros recuperados : 3 | |
| 1. |  | ALMEIDA, S. D. B.; COSTA, E. A. D.; GOMES, M. A. F.; SPADOTTO, C. A.; VIDOTTO, L. C.; MARIO, M. DE; FERREIRA, F. S.; LUCHINI, L. C.; MATALLO, M. B. Adsorção de triazinas em solos da Mata Atlântica: I. Ametrina. In: Arquivos do Instituto Biológico, São Paulo, v. 72, supl. 2, p. 89, 2005. p.89| Biblioteca(s): Embrapa Meio Ambiente. |
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| 2. | | ALMEIDA, S. D. B.; COSTA, E. A. D.; GOMES, M. A. F.; SPADOTTO, C. A.; VIDOTTO, L. C.; MARIO, M. de; FERREIRA, F. S.; LUCHINI, L. C.; MATALLO, M. B. Adsorção de triazinas em solos da Mata Atlântica: II. Atrazina. In: Arquivos do Instituto Biológico, São Paulo, v. 72, supl. 2, p. 90, 2005.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 3. | | ALMEIDA, S. D. B.; COSTA, E. A. D.; GOMES, M. A. F.; SPADOTTO, C. A.; VIDOTTO, L. C.; MARIO, M. DE; FERREIRA, F. S.; LUCHINI, L. C.; MATALLO, M. B. Adsorção de triazinas em solos da Mata Atlântica: III. Metamitron In: Arquivos do Instituto Biológico, São Paulo, v. 72, supl. 2, p. 90, 2005.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 3 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agropecuária Oeste. |
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Data corrente: |
18/08/2020 |
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Data da última atualização: |
18/08/2020 |
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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: |
ABREU, H. K. A. de; CECCON, G.; CORREA, A. M.; FACHINELLI, R.; YAMAMOTO, E. L. M.; TEODORO, P. E. |
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Afiliação: |
HADASSA KATHYUCI ANTUNES DE ABREU, UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS, MS; GESSI CECCON, CPAO; AGENOR MARTINHO CORREA, UNIVERSIDADE ESTADUAL DE MATO GROSSO DO SUL, AQUIDAUANA, MS; RICARDO FACHINELLI, UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS, MS; EURIANN LOPES MARQUES YAMAMOTO, UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS, MS; PAULO EDUARDO TEODORO, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL, CHAPADÃO DO SUL, MS. |
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Título: |
Adaptability and stability of cowpea genotypes via REML/BLUP and GGE BIPLOT. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Bioscience Journal, v. 35, n. 4, p. 1071-1082, 2019. |
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DOI: |
10.14393/BJ-v35n4a2019-42125 |
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Idioma: |
Inglês |
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Conteúdo: |
Several methodologies have been proposed in order t o measure the influence that genotype-by-environment interaction exerts on the v arious characters of interest. The mixed models usi ng REML/BLUP and GGE Biplot have been mentioned as adv antageous to identify superior genotypes. The use o f environmental information can be useful to find the factors that are in the real difference between th e genotypes. The objective of this study was to compa re statistical methodologies for the adaptability a nd stability analysis of cowpea genotypes in value for cultivation and use testings. The experiments were carried out from March to July 2016 and 2017, in the munici palities of Dourados and Aquidauana. A randomized complete block design was used, with 14 genotypes a nd four replicates, 12 advanced lines and two comme rcial cultivars. After detecting significant genotype-by- environment interaction, the adaptability and pheno typic stability of cowpea genotypes were analyzed by the GGE Biplot and REML/BLUP. Both methodologies were concordant in the identification of the best cowpea genotypes for the State of Mato Grosso do Sul. The genotypes 6 (Pingo-de-ouro 1-5-4), 10 (Pingo-de-our o 1-5-10) and 8 (Pingo-de-ouro 1-5-7) are the most suitable to be grown in the State, because they hav e gathered high grain yield, adaptability and stabi lity |
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Palavras-Chave: |
Análise multivariada; Environments interaction; Feijão caupi; Vigna unguiculat. |
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Thesagro: |
Genótipo. |
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Thesaurus NAL: |
Genotype; Multivariate analysis. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215397/1/37056.pdf
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Marc: |
LEADER 02169naa a2200277 a 4500
001 2124407
005 2020-08-18
008 2019 bl uuuu u00u1 u #d
024 7 $a10.14393/BJ-v35n4a2019-42125$2DOI
100 1 $aABREU, H. K. A. de
245 $aAdaptability and stability of cowpea genotypes via REML/BLUP and GGE BIPLOT.$h[electronic resource]
260 $c2019
520 $aSeveral methodologies have been proposed in order t o measure the influence that genotype-by-environment interaction exerts on the v arious characters of interest. The mixed models usi ng REML/BLUP and GGE Biplot have been mentioned as adv antageous to identify superior genotypes. The use o f environmental information can be useful to find the factors that are in the real difference between th e genotypes. The objective of this study was to compa re statistical methodologies for the adaptability a nd stability analysis of cowpea genotypes in value for cultivation and use testings. The experiments were carried out from March to July 2016 and 2017, in the munici palities of Dourados and Aquidauana. A randomized complete block design was used, with 14 genotypes a nd four replicates, 12 advanced lines and two comme rcial cultivars. After detecting significant genotype-by- environment interaction, the adaptability and pheno typic stability of cowpea genotypes were analyzed by the GGE Biplot and REML/BLUP. Both methodologies were concordant in the identification of the best cowpea genotypes for the State of Mato Grosso do Sul. The genotypes 6 (Pingo-de-ouro 1-5-4), 10 (Pingo-de-our o 1-5-10) and 8 (Pingo-de-ouro 1-5-7) are the most suitable to be grown in the State, because they hav e gathered high grain yield, adaptability and stabi lity
650 $aGenotype
650 $aMultivariate analysis
650 $aGenótipo
653 $aAnálise multivariada
653 $aEnvironments interaction
653 $aFeijão caupi
653 $aVigna unguiculat
700 1 $aCECCON, G.
700 1 $aCORREA, A. M.
700 1 $aFACHINELLI, R.
700 1 $aYAMAMOTO, E. L. M.
700 1 $aTEODORO, P. E.
773 $tBioscience Journal$gv. 35, n. 4, p. 1071-1082, 2019.
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Embrapa Agropecuária Oeste (CPAO) |
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