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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha; São Gabriel da Palha. |
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Data corrente: |
13/10/2015 |
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Data da última atualização: |
21/07/2021 |
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Autoria: |
VIEIRA, C. |
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Título: |
Doenças e pragas do feijoeiro. |
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Ano de publicação: |
1983 |
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Fonte/Imprenta: |
Viçosa: UFV, 1983. |
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Páginas: |
231 p. |
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Idioma: |
Português |
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Conteúdo: |
Doencas causadas por virus;doencas causadas por bacterias;doencas causadas por fungos;doencas causadas por nematoides;patologia das sementes;doencas nao parasitarias;insetos que atacam as plantinhas;insetos quese alimentam das folhas;insetos sugadores;insetos que atacam as vagens;insetos que danificam as sementes armazenadas;insetos que danificam as raizes;outros insetos;acaros;lesma;gongo.s |
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Palavras-Chave: |
Bean; Controle integrado; Diseases; Doenca; Doencas; Entomologia; Feijao; Feijoeiro; Fitopatologia; Lesma; Pests; Phaseolus vulgaris; Praga; Pragas; Sintoma. |
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Categoria do assunto: |
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Marc: |
LEADER 01049nam a2200301 a 4500
001 1008699
005 2021-07-21
008 1983 bl uuuu 00u1 u #d
100 1 $aVIEIRA, C.
245 $aDoenças e pragas do feijoeiro.
260 $aViçosa: UFV$c1983
300 $a231 p.
520 $aDoencas causadas por virus;doencas causadas por bacterias;doencas causadas por fungos;doencas causadas por nematoides;patologia das sementes;doencas nao parasitarias;insetos que atacam as plantinhas;insetos quese alimentam das folhas;insetos sugadores;insetos que atacam as vagens;insetos que danificam as sementes armazenadas;insetos que danificam as raizes;outros insetos;acaros;lesma;gongo.s
653 $aBean
653 $aControle integrado
653 $aDiseases
653 $aDoenca
653 $aDoencas
653 $aEntomologia
653 $aFeijao
653 $aFeijoeiro
653 $aFitopatologia
653 $aLesma
653 $aPests
653 $aPhaseolus vulgaris
653 $aPraga
653 $aPragas
653 $aSintoma
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Biblioteca |
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Registro |
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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
29/11/2016 |
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Data da última atualização: |
28/09/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
COSTA, A. F. da.; TEODORO, P. E.; BHERING, L.L.; LEAL, N. R.; TARDIN, F. D.; DAHER, R. F. |
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Afiliação: |
Andrea Ferreira da Costa, Incaper; UFV; UFV; UENF; Embrapa Milho e Sorgo; UENF. |
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Título: |
Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, p. 1-9, 2016. |
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Idioma: |
Português |
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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 |
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Palavras-Chave: |
Fragaria x ananassa; Genotype x environment interaction; Strawberry; Yield. |
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Categoria do assunto: |
-- |
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URL: |
http://biblioteca.incaper.es.gov.br/digital/bitstream/item/2483/1/BRT-biplot.pdf
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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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Biblioteca Rui Tendinha (BRT) |
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