Coffee Science

URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3355

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Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
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    New management technology for arabica coffee: the cyclic pruning program for arabica coffee
    (Editora UFLA, 2016-10) Verdin Filho, Abraão Carlos; Volpi, Paulo Sérgio; Ferrão, Maria Amélia Gava; Ferrão, Romário Gava; Mauri, Aldo Luiz; Fonseca, Aymbiré Francisco Almeida da; Tristão, Fabiano Alixsandro; Andrade Júnior, Saul de
    This study aimed to better understand the productive behavior of Coffea arabica when cultivated using the new management of Cyclic Pruning Program for Arabica Coffee (CPPAC), stablished using the same principles of the Cyclic Pruning Program for Conilon Coffee. The experiment was carried out in Baixo Guandú, Espírito Santo state, in the Southeast region of Brazil, in order to test the conditioning of this new pruning management for Arabica coffee (CPPAC) over the crop yield of a plantation of Catuaí Vermelho IAC 81. It was found increased crop yield with use of the (CPPAC) over the traditional management of Arabica coffee, considering five consecutive years of production. The (CPPAC) technique can be used as a viable alternative for pruning management of Arabica coffee.
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    Conilon coffee yield using the programmed pruning cycle and different cultivation densities
    (Editora UFLA, 2014-10) Verdin Filho, Abraão Carlos; Tomaz, Marcelo Antonio; Ferrão, Romário Gava; Ferrão, Maria Amélia Gava; Fonseca, Aymbiré Francisco Almeida da; Rodrigues, Wagner Nunes
    Determining the correct population of plants and number of orthotropic stems to be kept per area, along with optimal pruning management, is very important for crops of Coffea canephora. The aim of this work was to improve conilon coffee cropping management, evaluating the influence of the programmed pruning cycle with different combinations of spacing and numbers of orthotropic stems per plant on crop yield. Two experiments were carried out: one with smaller spacing and lower numbers of stems per plant, and another with larger spacing and higher numbers of stems per plant. Both assays followed a triple factorial scheme 2 x 3 x 4 (2 spacing x 3 numbers of stems per plant x 4 harvests) in a random block statistical design, using four replications and 11 plants pen plot. The results show that a reduction in spacing associated with an increase in number of stems per plant has a positive effect on the conilon coffee yield.