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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
17/03/2017 |
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Data da última atualização: |
17/03/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RODRIGUES, W. N.; TOMAZ, M. A.; FERRAO, M. A. G.; MARTINS, L. D.; COLODETTI, T. V.; BRINATE, S. V. B.; AMARAL, J. F. T.; SOBREIRA, F. M.; APOSTÓLICO, M. A. |
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Afiliação: |
Universidade Federal do Espírito Santo; Universidade Federal do Espírito Santo; MARIA AMELIA GAVA FERRAO, SAPC; Universidade Federal do Espírito Santo; Universidade Federal do Espírito Santo; Universidade Federal do Espírito Santo; Universidade Federal do Espírito Santo; Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão rural, Domingos Martins; Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão rural, Domingos Martins. |
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Título: |
Biometry and diversity of Arabica coffee genotypes cultivated in a high density plant system. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Genetic and Molecular Research, v. 15, n. 1, Feb. 2016. |
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Idioma: |
Inglês |
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Conteúdo: |
The present study was developed to respond to the need for an increase in crop yield in the mountain region of Caparaó (southern Espírito Santo State, Brazil), an area of traditional coffee production. This study aimed to analyze the diversity and characterize the crop yield of genotypes of Coffea arabica L. with potential for cultivation in high plant density systems. In addition, it also aimed to quantify the expression of agronomic traits in this cultivation system and provide information on the genotypes with the highest cultivation potential in the studied region. The experiment followed a randomized block design with 16 genotypes, four repetitions, and six plants per experimental plot. Plant spacing was 2.00 x 0.60 m, with a total of 8333 plants per hectare, representing a high-density cultivation system. Coffee plants were cultivated until the start of their reproductive phenological cycles and were evaluated along four complete reproductive cycles. Genotypes with high crop yield and beverage quality, short canopy, and rust resistance were selected. C. arabica genotypes showed variability in almost all characteristics. It was possible to identify different responses among genotypes grown in a high plant density cultivation system. Although the chlorophyll a content was similar among genotypes, the genotypes Acauã, Araponga MG1, Sacramento MG1, Tupi, and Catuaí IAC 44 showed a higher chlorophyll b content than the other genotypes. Among these, Sacramento MG1 also showed high leafiness and growth of vegetative structures, whereas Araponga MG1, Pau-Brasil MG1, and Tupi showed high fruit production. In addition, Araponga MG1 had also a higher and more stable crop yield over the years. MenosThe present study was developed to respond to the need for an increase in crop yield in the mountain region of Caparaó (southern Espírito Santo State, Brazil), an area of traditional coffee production. This study aimed to analyze the diversity and characterize the crop yield of genotypes of Coffea arabica L. with potential for cultivation in high plant density systems. In addition, it also aimed to quantify the expression of agronomic traits in this cultivation system and provide information on the genotypes with the highest cultivation potential in the studied region. The experiment followed a randomized block design with 16 genotypes, four repetitions, and six plants per experimental plot. Plant spacing was 2.00 x 0.60 m, with a total of 8333 plants per hectare, representing a high-density cultivation system. Coffee plants were cultivated until the start of their reproductive phenological cycles and were evaluated along four complete reproductive cycles. Genotypes with high crop yield and beverage quality, short canopy, and rust resistance were selected. C. arabica genotypes showed variability in almost all characteristics. It was possible to identify different responses among genotypes grown in a high plant density cultivation system. Although the chlorophyll a content was similar among genotypes, the genotypes Acauã, Araponga MG1, Sacramento MG1, Tupi, and Catuaí IAC 44 showed a higher chlorophyll b content than the other genotypes. Among these, Sacramento MG1 also showe... Mostrar Tudo |
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Palavras-Chave: |
Coffee; Densidade de planta. |
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Thesagro: |
Clorofila; Coffea Arábica. |
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Thesaurus Nal: |
Chlorophyll; Crop yield; Dry matter partitioning; Plant density. |
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Categoria do assunto: |
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Marc: |
LEADER 02620naa a2200313 a 4500
001 2067233
005 2017-03-17
008 2016 bl uuuu u00u1 u #d
100 1 $aRODRIGUES, W. N.
245 $aBiometry and diversity of Arabica coffee genotypes cultivated in a high density plant system.$h[electronic resource]
260 $c2016
520 $aThe present study was developed to respond to the need for an increase in crop yield in the mountain region of Caparaó (southern Espírito Santo State, Brazil), an area of traditional coffee production. This study aimed to analyze the diversity and characterize the crop yield of genotypes of Coffea arabica L. with potential for cultivation in high plant density systems. In addition, it also aimed to quantify the expression of agronomic traits in this cultivation system and provide information on the genotypes with the highest cultivation potential in the studied region. The experiment followed a randomized block design with 16 genotypes, four repetitions, and six plants per experimental plot. Plant spacing was 2.00 x 0.60 m, with a total of 8333 plants per hectare, representing a high-density cultivation system. Coffee plants were cultivated until the start of their reproductive phenological cycles and were evaluated along four complete reproductive cycles. Genotypes with high crop yield and beverage quality, short canopy, and rust resistance were selected. C. arabica genotypes showed variability in almost all characteristics. It was possible to identify different responses among genotypes grown in a high plant density cultivation system. Although the chlorophyll a content was similar among genotypes, the genotypes Acauã, Araponga MG1, Sacramento MG1, Tupi, and Catuaí IAC 44 showed a higher chlorophyll b content than the other genotypes. Among these, Sacramento MG1 also showed high leafiness and growth of vegetative structures, whereas Araponga MG1, Pau-Brasil MG1, and Tupi showed high fruit production. In addition, Araponga MG1 had also a higher and more stable crop yield over the years.
650 $aChlorophyll
650 $aCrop yield
650 $aDry matter partitioning
650 $aPlant density
650 $aClorofila
650 $aCoffea Arábica
653 $aCoffee
653 $aDensidade de planta
700 1 $aTOMAZ, M. A.
700 1 $aFERRAO, M. A. G.
700 1 $aMARTINS, L. D.
700 1 $aCOLODETTI, T. V.
700 1 $aBRINATE, S. V. B.
700 1 $aAMARAL, J. F. T.
700 1 $aSOBREIRA, F. M.
700 1 $aAPOSTÓLICO, M. A.
773 $tGenetic and Molecular Research$gv. 15, n. 1, Feb. 2016.
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Registro original: |
Embrapa Café (CNPCa) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
10/02/2010 |
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Data da última atualização: |
11/01/2011 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
GOMES, E. G.; MELLO, J. C. C. B. S. de. |
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Afiliação: |
ELIANE GONCALVES GOMES, SGE; João Carlos Correia Baptista Soares de Mello, Universidade Federal Fluminense. |
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Título: |
Distribuição de bolsas de iniciação científica com algoritmo híbrido baseado em eficiências DEA. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Pesquisa Operacional para o Desenvolvimento, v.1, n.2, p. 169-177, 2009. |
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Idioma: |
Português |
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Conteúdo: |
Este artigo tem como objetivo usar modelos de produção baseados na Análise Envoltória de Dados (DEA) para alocar bolsas de iniciação científica e centros de pesquisa. São usados o modelo DEA com Ganhos de Soma Zero (DEA-GSZ) e o Algoritmo Sequencial para Alocação de Recursos Discretos em DEA, em duas etapas consecutivas. Os resultados são comparados a um modelo anteriormente proposto que usava apenas o modelo DEA-GSZ nas duas etapas, e mostram-se superiores segundo o critério de eficiência média final. |
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Palavras-Chave: |
Algoritmo sequencial; Alocação de recursos; DEA; Ganhos de soma zero. |
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Categoria do assunto: |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/25286/1/Distribuicaodebolsasdeiniciacao.pdf
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Marc: |
LEADER 01115naa a2200181 a 4500
001 1657455
005 2011-01-11
008 2009 bl uuuu u00u1 u #d
100 1 $aGOMES, E. G.
245 $aDistribuição de bolsas de iniciação científica com algoritmo híbrido baseado em eficiências DEA.$h[electronic resource]
260 $c2009
520 $aEste artigo tem como objetivo usar modelos de produção baseados na Análise Envoltória de Dados (DEA) para alocar bolsas de iniciação científica e centros de pesquisa. São usados o modelo DEA com Ganhos de Soma Zero (DEA-GSZ) e o Algoritmo Sequencial para Alocação de Recursos Discretos em DEA, em duas etapas consecutivas. Os resultados são comparados a um modelo anteriormente proposto que usava apenas o modelo DEA-GSZ nas duas etapas, e mostram-se superiores segundo o critério de eficiência média final.
653 $aAlgoritmo sequencial
653 $aAlocação de recursos
653 $aDEA
653 $aGanhos de soma zero
700 1 $aMELLO, J. C. C. B. S. de
773 $tPesquisa Operacional para o Desenvolvimento$gv.1, n.2, p. 169-177, 2009.
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