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3. | | SERRANO, L. A. L.; CATTANEO, L. F.; FERREGUETTI, G. A.; CELIM, E. Doses de um adubo de liberação lenta na produção de mudas de mamoeiro (Carica papaya L.). In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 20.; ANNUAL MEETING OF THE INTERAMERICAN SOCIETY FOR TROPICAL HORTICULTURE, 54., 2008, Vitória. Frutas para todos: estratégias, tecnologias e visão sustentável: anais. Vitória: INCAPER: Sociedade Brasileira de Fruticultura, 2008. 5p.Biblioteca(s): Biblioteca Rui Tendinha. |
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5. | | LIMA, I. de M.; MARTINS, D. dos S.; FONTES, J. R. M.; FERREGUETTI, G. A. Produtividade e classificação de frutos do mamão CV. Golden plantado no período de inverno na região Noroeste do Estado do Espírito Santo. In: SIMPÓSIO PAPAYA BRASILEIRO, 2., 2005, Vitória, ES. MARTINS, D dos S. (Ed.). Papaya Brasil : mercado e inovações tecnológicas para o mamão. Vitória: Incaper, 2005. p. 322-326.Biblioteca(s): Biblioteca Rui Tendinha. |
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6. | | CATTANEO, L. F.; SERRANO, L. A. L.; COSTA, A. de F. S. da.; FERREGUETTI, G. A.; CELIM, E. Melhoramento genético do mamoeiro (Carica papaya L.): desenvolvimento inicial de genótipos elite do grupo 'Formosa", em Linhares - ES. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 20.; ANNUAL MEETING OF THE INTERAMERICAN SOCIETY FOR TROPICAL HORTICULTURE, 54., 2008, Vitória. Frutas para todos: estratégias, tecnologias e visão sustentável: anais. Vitória: INCAPER: Sociedade Brasileira de Fruticultura, 2008. 4p.Biblioteca(s): Biblioteca Rui Tendinha. |
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7. | | COSMI, F. C.; JESUS JUNIOR, W. C. de.; VENTURA, J. A.; COSTA, H.; MARTINS, D. dos S.; MORAES, W. B.; FERREGUETTI, G. A. Análise temporal da meleira do mamoeiro no Norte do Espírito Santo. In: SIMPÓSIO DO PAPAYA BRASILEIRO, 3. , 2007, Vitória. Anais... Vitória: CEDAGRO; INCAPER, 2007. Papaya Brasil : manejo, qualidade e mercado do mamão. Vitória: Incaper, 2007. p. 451-453Biblioteca(s): Biblioteca Rui Tendinha. |
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9. | | VIGUINI, R. E. S. C.; JÚNIOR, A. B. P.; MACEDO, A. de S.; FERREGUETTI, G. A.; OLIVEIRA, J. A. de; VIGUINI, J. da S.; BOYNARD, L. C.; FASOLO, L. M.; LOSS, W. R. (Coord.). Tabela de serviços e honorários profissionais no campo da engenharia agronômica para o estado do Espírito Santo. Vitória-ES : SEEA, 2012. 56p.Biblioteca(s): Biblioteca Rui Tendinha. |
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10. | | COSTA, A. de F. S. da.; COSTA, A. N. da.; SPAGGIARI, C. A. S.; TEIXEIRA, C. P.; ABIKO, C. M.; SILVA, D. N. da.; SILVA, D. J.; ALVES, F. L.; FERREGUETTI, G. A.; PEIXOTO, H. L.; GOMES, J. A.; CHIABAI, R. E.; AUGUSTO, S. G. Frutíferas. In: PREZOTTI, L. C.; GOMES, J. A.; DADALTO, G. G.; OLIVEIRA, J. A. (Ed.). Manual de recomendação de calagem e adubação para o Estado do Espírito Santo : 5ª aproximação. Vitória, ES : SEEA; Incaper; CEDAGRO, 2007 . p. 119-Biblioteca(s): Biblioteca Rui Tendinha. |
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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
29/11/2016 |
Data da última atualização: |
28/09/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
COSTA, A. F. da.; TEODORO, P. E.; BHERING, L.L.; LEAL, N. R.; TARDIN, F. D.; DAHER, R. F. |
Afiliação: |
Andrea Ferreira da Costa, Incaper; UFV; UFV; UENF; Embrapa Milho e Sorgo; UENF. |
Título: |
Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, p. 1-9, 2016. |
Idioma: |
Português |
Conteúdo: |
Most strawberry genotypes grown commercially in Brazil originate from breeding programs in the United States, and are therefore not adapted to the various soil and climatic conditions found in Brazil. Thus, quantifying the magnitude of genotype x environment (GE) interactions serves as a primary means for increasing average Brazilian strawberry yields, and helps provide specific recommendations for farmers on which genotypes meet high yield and phenotypic stability thresholds. The aim of this study was to use AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction) analyses to identify high-yield, stable strawberry genotypes grown at three locations in Espírito Santo for two agricultural years. We evaluated seven strawberry genotypes (Dover, Camino Real, Ventana, Camarosa, Seascape, Diamante, and Aromas) at three locations (Domingos Martins, Iúna, and Muniz Freire) in agricultural years 2006 and 2007, totaling six study environments. Joint analysis of variance was calculated using yield data (t/ha), and AMMI and GGE biplot analysis was conducted following the detection of a significant genotypes x agricultural years x locations (G x A x L) interaction. During the two agricultural years, evaluated locations were allocated to different regions on biplot graphics using both methods, indicating distinctions among them. Based on the results obtained from the two methods used in this study to investigate the G x A x L interaction, we recommend growing the Camarosa genotype for production at the three locations assessed due to the high frequency of favorable alleles, which were expressed in all localities evaluated
regardless of the agricultural year. MenosMost strawberry genotypes grown commercially in Brazil originate from breeding programs in the United States, and are therefore not adapted to the various soil and climatic conditions found in Brazil. Thus, quantifying the magnitude of genotype x environment (GE) interactions serves as a primary means for increasing average Brazilian strawberry yields, and helps provide specific recommendations for farmers on which genotypes meet high yield and phenotypic stability thresholds. The aim of this study was to use AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction) analyses to identify high-yield, stable strawberry genotypes grown at three locations in Espírito Santo for two agricultural years. We evaluated seven strawberry genotypes (Dover, Camino Real, Ventana, Camarosa, Seascape, Diamante, and Aromas) at three locations (Domingos Martins, Iúna, and Muniz Freire) in agricultural years 2006 and 2007, totaling six study environments. Joint analysis of variance was calculated using yield data (t/ha), and AMMI and GGE biplot analysis was conducted following the detection of a significant genotypes x agricultural years x locations (G x A x L) interaction. During the two agricultural years, evaluated locations were allocated to different regions on biplot graphics using both methods, indicating distinctions among them. Based on the results obtained from the two methods used in this study to investigat... Mostrar Tudo |
Palavras-Chave: |
Fragaria x ananassa; Genotype x environment interaction; Strawberry; Yield. |
Categoria do assunto: |
-- |
URL: |
http://biblioteca.incaper.es.gov.br/digital/bitstream/item/2483/1/BRT-biplot.pdf
|
Marc: |
LEADER 02425naa a2200229 a 4500 001 1013410 005 2017-09-28 008 2016 bl uuuu u00u1 u #d 100 1 $aCOSTA, A. F. da. 245 $aBiplot analysis of strawberry genotypes recommended for the State of Espírito Santo.$h[electronic resource] 260 $c2016 520 $aMost strawberry genotypes grown commercially in Brazil originate from breeding programs in the United States, and are therefore not adapted to the various soil and climatic conditions found in Brazil. Thus, quantifying the magnitude of genotype x environment (GE) interactions serves as a primary means for increasing average Brazilian strawberry yields, and helps provide specific recommendations for farmers on which genotypes meet high yield and phenotypic stability thresholds. The aim of this study was to use AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction) analyses to identify high-yield, stable strawberry genotypes grown at three locations in Espírito Santo for two agricultural years. We evaluated seven strawberry genotypes (Dover, Camino Real, Ventana, Camarosa, Seascape, Diamante, and Aromas) at three locations (Domingos Martins, Iúna, and Muniz Freire) in agricultural years 2006 and 2007, totaling six study environments. Joint analysis of variance was calculated using yield data (t/ha), and AMMI and GGE biplot analysis was conducted following the detection of a significant genotypes x agricultural years x locations (G x A x L) interaction. During the two agricultural years, evaluated locations were allocated to different regions on biplot graphics using both methods, indicating distinctions among them. Based on the results obtained from the two methods used in this study to investigate the G x A x L interaction, we recommend growing the Camarosa genotype for production at the three locations assessed due to the high frequency of favorable alleles, which were expressed in all localities evaluated regardless of the agricultural year. 653 $aFragaria x ananassa 653 $aGenotype x environment interaction 653 $aStrawberry 653 $aYield 700 1 $aTEODORO, P. E. 700 1 $aBHERING, L.L. 700 1 $aLEAL, N. R. 700 1 $aTARDIN, F. D. 700 1 $aDAHER, R. F. 773 $tGenetics and Molecular Research$gv. 15, p. 1-9, 2016.
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