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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
01/10/2020 |
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Data da última atualização: |
01/10/2020 |
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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 - agosto 2020. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Vitória, ES, ano. 2, n. 8, agosto 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: |
Ao longo de agosto de 2020, o território capixaba esteve sob a atuação de um sistema de alta pressão, que tem como característica garantir estabilidade na atmosfera dificultando a formação de nuvens. Ao longo do primeiro decêndio do mês, o posicionamento desse sistema de alta pressão favoreceu o transporte de umidade do Oceano
Atlântico para o território capixaba, conseguindo ocasionar apenas chuvas fracas e rápidas nas áreas mais próximas ao litoral, além de manter as temperaturas mais amenas, principalmente nas regiões Norte, Nordeste e Noroeste do Estado. |
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Palavras-Chave: |
Clima; Clima capixaba; Espírito Santo (Estado). |
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Thesagro: |
Balanço Hídrico; Hidrometeorologia; Precipitação pluvial; Previsão do Tempo; Temperatura. |
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Categoria do assunto: |
-- |
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URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/4077/1/Informativo-Climatico-Mensal-ES-ano2-n8-agosto2020-Incaper.pdf
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/4078/1/Informativo-Climatico-Mensal-ES-ano2-n8-agosto2020-Incaper.epub
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Marc: |
LEADER 01431nam a2200241 a 4500
001 1022318
005 2020-10-01
008 2020 bl uuuu u0uu1 u #d
100 1 $aIncaper. Coordenação de Meteorologia.
245 $aInformativo climático mensal do Espírito Santo - agosto 2020.$h[electronic resource]
260 $aVitória, ES, ano. 2, n. 8, agosto 2020.$c2020
300 $a2 p.
490 $aIncaper
500 $aEsta publicação foi concebida em dois formatos, ePUB e PDF.
520 $aAo longo de agosto de 2020, o território capixaba esteve sob a atuação de um sistema de alta pressão, que tem como característica garantir estabilidade na atmosfera dificultando a formação de nuvens. Ao longo do primeiro decêndio do mês, o posicionamento desse sistema de alta pressão favoreceu o transporte de umidade do Oceano Atlântico para o território capixaba, conseguindo ocasionar apenas chuvas fracas e rápidas nas áreas mais próximas ao litoral, além de manter as temperaturas mais amenas, principalmente nas regiões Norte, Nordeste e Noroeste do Estado.
650 $aBalanço Hídrico
650 $aHidrometeorologia
650 $aPrecipitação pluvial
650 $aPrevisão do Tempo
650 $aTemperatura
653 $aClima
653 $aClima capixaba
653 $aEspírito Santo (Estado)
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Biblioteca |
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Fechar
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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
25/08/2022 |
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Data da última atualização: |
25/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SENRA, J. F. de B.; SILVA, J. A. da; FERRÃO, M. A. G.; ESPOSTI, M. D.; MILHEIROS, I. S.; FASSARELLA, K. M. |
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Afiliação: |
João Felipe de Brites Senra, Incaper; Josimar Aleixo da Silva, Incaper/Embrapa; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Marlon Dutra Degli Esposti, Incaper; Idalina Sturião Milheiros, Incaper; Kamila Machado Fassarella, Incaper. |
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Título: |
Genetic variability of conilon coffee population from cultivar 'ES8152' based on morphoagronomic variables. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Coffee Science, v. 17, e171986, 2022. |
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DOI: |
https://doi.org/10.25186/.v17i.1986 |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to analyze the genetic variability of Coffea canephora population with 190 genotypes from cultivar ?ES8152?, based on morphoagronomic characteristics and vegetation index, to identify the most important characteristics for genetic divergence and compare them with commercial clones. The experiment was installed, in 2019, at the Bananal do Norte Experimental Farm/INCAPER, Cachoeiro de Itapemirim, ES, Brazil. The experiment was carried out in Federer?s augmented block design with three blocks, four common treatments (commercial clones A1, LB1, V8 and V12) and 190 regular treatments, genotypes from the seed production field of the conilon coffee cultivar ?ES8152?. At 24 months of age 14 morphoagronomic characteristics and vegetation index were evaluated. Descriptive analysis of the data, the estimation of the Standardized Euclidean Distance (ED) followed by the group-ing by the methods of Tocher, UPGMA and principal coordinates, in addition to the relative importance of the characters estimated by the Singh meth-odology were performed. The most distant genotypes were 62 and 83 (ED=2.620) and the closest were 42 and 160 (ED=0.208). Genotype 83 stood out as the most distant among the others. The optimization and hierarchical groupings allowed the identification of genotypes 15, 81, 107 and 184 as similar to commercial clones. The discard analysis of variables recommended the elimination of the vegetation index and average internode length of the next diversity analysis. Principal coordinate analysis found phenotypic similarity of the genotypes 30, 81, 115, 141 and 163 with the clone V12, of the genotype 119 with the clone A1 and genotype 17 with clone LB1. The study, of morphoagronomic characters, allowed to detection the genetic diversity existing in the materials evaluated, indicating those with phenotypic similarity with the commercial clones, being possible the early identification of promising genotypes, agronomically superior, to start a breeding program for clonal selection, recurrent selection and controlled crosses to maximize heterosis. MenosThis study aimed to analyze the genetic variability of Coffea canephora population with 190 genotypes from cultivar ?ES8152?, based on morphoagronomic characteristics and vegetation index, to identify the most important characteristics for genetic divergence and compare them with commercial clones. The experiment was installed, in 2019, at the Bananal do Norte Experimental Farm/INCAPER, Cachoeiro de Itapemirim, ES, Brazil. The experiment was carried out in Federer?s augmented block design with three blocks, four common treatments (commercial clones A1, LB1, V8 and V12) and 190 regular treatments, genotypes from the seed production field of the conilon coffee cultivar ?ES8152?. At 24 months of age 14 morphoagronomic characteristics and vegetation index were evaluated. Descriptive analysis of the data, the estimation of the Standardized Euclidean Distance (ED) followed by the group-ing by the methods of Tocher, UPGMA and principal coordinates, in addition to the relative importance of the characters estimated by the Singh meth-odology were performed. The most distant genotypes were 62 and 83 (ED=2.620) and the closest were 42 and 160 (ED=0.208). Genotype 83 stood out as the most distant among the others. The optimization and hierarchical groupings allowed the identification of genotypes 15, 81, 107 and 184 as similar to commercial clones. The discard analysis of variables recommended the elimination of the vegetation index and average internode length of the next diversity ana... Mostrar Tudo |
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Palavras-Chave: |
Café conilon; Clusters; Cultivar ES8152; Genetic diversity; Pre-breeding. |
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Thesagro: |
Café; Cafeicultura; Coffea Canephora. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/item/4217/1/cultivar-ES8152-senra.pdf
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Marc: |
LEADER 02944naa a2200289 a 4500
001 1024231
005 2022-08-25
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.25186/.v17i.1986$2DOI
100 1 $aSENRA, J. F. de B.
245 $aGenetic variability of conilon coffee population from cultivar 'ES8152' based on morphoagronomic variables.$h[electronic resource]
260 $c2022
520 $aThis study aimed to analyze the genetic variability of Coffea canephora population with 190 genotypes from cultivar ?ES8152?, based on morphoagronomic characteristics and vegetation index, to identify the most important characteristics for genetic divergence and compare them with commercial clones. The experiment was installed, in 2019, at the Bananal do Norte Experimental Farm/INCAPER, Cachoeiro de Itapemirim, ES, Brazil. The experiment was carried out in Federer?s augmented block design with three blocks, four common treatments (commercial clones A1, LB1, V8 and V12) and 190 regular treatments, genotypes from the seed production field of the conilon coffee cultivar ?ES8152?. At 24 months of age 14 morphoagronomic characteristics and vegetation index were evaluated. Descriptive analysis of the data, the estimation of the Standardized Euclidean Distance (ED) followed by the group-ing by the methods of Tocher, UPGMA and principal coordinates, in addition to the relative importance of the characters estimated by the Singh meth-odology were performed. The most distant genotypes were 62 and 83 (ED=2.620) and the closest were 42 and 160 (ED=0.208). Genotype 83 stood out as the most distant among the others. The optimization and hierarchical groupings allowed the identification of genotypes 15, 81, 107 and 184 as similar to commercial clones. The discard analysis of variables recommended the elimination of the vegetation index and average internode length of the next diversity analysis. Principal coordinate analysis found phenotypic similarity of the genotypes 30, 81, 115, 141 and 163 with the clone V12, of the genotype 119 with the clone A1 and genotype 17 with clone LB1. The study, of morphoagronomic characters, allowed to detection the genetic diversity existing in the materials evaluated, indicating those with phenotypic similarity with the commercial clones, being possible the early identification of promising genotypes, agronomically superior, to start a breeding program for clonal selection, recurrent selection and controlled crosses to maximize heterosis.
650 $aCafé
650 $aCafeicultura
650 $aCoffea Canephora
653 $aCafé conilon
653 $aClusters
653 $aCultivar ES8152
653 $aGenetic diversity
653 $aPre-breeding
700 1 $aSILVA, J. A. da
700 1 $aFERRÃO, M. A. G.
700 1 $aESPOSTI, M. D.
700 1 $aMILHEIROS, I. S.
700 1 $aFASSARELLA, K. M.
773 $tCoffee Science$gv. 17, e171986, 2022.
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