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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
26/05/2020 |
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Data da última atualização: |
26/05/2020 |
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Tipo da produção científica: |
Folheto/Folha |
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Autoria: |
Incaper. Coordenação de Meteorologia. |
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Título: |
Informativo Climático Mensal do Espírito Santo - março 2020. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Vitória, ES, ano. 2, n. 3, março 2020. |
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Páginas: |
2 p. |
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Série: |
Incaper |
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Idioma: |
Português |
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Notas: |
Esta publicação foi concebida em dois formatos, ePUB e PDF. |
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Conteúdo: |
Durante o mês de março de 2020, a atuação de diferentes sistemas meteorológicos sobre o Espírito Santo resultou em chuvas bem-distribuídas pelo Estado, marcando a despedida do verão para os capixabas. Logo nos primeiros dias do mês, a atuação de um episódio da Zona de Convergência do Atlântico Sul (ZCAS) ocasionou o aumento de nuvens com ocorrência de chuva bem-distribuída por todo o território capixaba, mas principalmente em trechos das regiões Sul, Serrana e Grande Vitória. |
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Palavras-Chave: |
Clima; Clima capixaba; Espírito Santo (Estado); Sistema meteorológico. |
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Thesagro: |
Balanço Hídrico; Hidrometeorologia; Precipitação pluvial; Previsão do Tempo; Temperatura. |
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Categoria do assunto: |
J Meteorologia |
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URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/4023/1/Informativo-Climatico-Mensal-ES-ano2-n3-marco2020-Incaper.pdf
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/4027/1/Informativo-Climatico-Mensal-ES-ano2-n3-marco2020-Incaper.epub
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Marc: |
LEADER 01286nam a2200253 a 4500
001 1022214
005 2020-05-26
008 2020 bl uuuu u0uu1 u #d
100 1 $aIncaper. Coordenação de Meteorologia.
245 $aInformativo Climático Mensal do Espírito Santo - março 2020.$h[electronic resource]
260 $aVitória, ES, ano. 2, n. 3, março 2020.$c2020
300 $a2 p.
490 $aIncaper
500 $aEsta publicação foi concebida em dois formatos, ePUB e PDF.
520 $aDurante o mês de março de 2020, a atuação de diferentes sistemas meteorológicos sobre o Espírito Santo resultou em chuvas bem-distribuídas pelo Estado, marcando a despedida do verão para os capixabas. Logo nos primeiros dias do mês, a atuação de um episódio da Zona de Convergência do Atlântico Sul (ZCAS) ocasionou o aumento de nuvens com ocorrência de chuva bem-distribuída por todo o território capixaba, mas principalmente em trechos das regiões Sul, Serrana e Grande Vitória.
650 $aBalanço Hídrico
650 $aHidrometeorologia
650 $aPrecipitação pluvial
650 $aPrevisão do Tempo
650 $aTemperatura
653 $aClima
653 $aClima capixaba
653 $aEspírito Santo (Estado)
653 $aSistema meteorológico
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Biblioteca |
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Registro |
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Voltar
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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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