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Item Prediction of genetic gains from selection in Arabica coffee progenies(Crop Breeding and Applied Biotechnology, 2011-09-08) Oliveira, Antonio Carlos Baião de; Pereira, Antonio Alves; Silva, Felipe Lopes da; Rezende, Juliana Costa de; Botelho, César Elias; Carvalho, Gladyston RodriguesGains from selection for yield were estimated in Arabica coffee progenies carrying rust-resistance genes. The experiment in augmented block design was installed in Três Pontas, state of Minas Gerais. Three blocks were established with six plants per plot, spaced 3.50 x 0.90 m, in 96 regular (F2 progenies) and two control treatments. The plant response to rust was evaluated on a grade scale in 2008. Yield (bags per hectare) was estimated in the growing seasons 2005 to 2008. Significant differences between treatments for yield were observed in all harvests, except 2005. The presence of genetic variability among progenies allowed significant gain from selection for yield. Under the experimental conditions of this study, selection for yield can be performed in the first high-yield year, without major losses compared to genetic gain from selection for yield when based on the mean of four harvests.Item MG Travessia: a coffee arabica cultivar productive and responsive to pruning(Crop Breeding and Applied Biotechnology, 2017-07) Carvalho, Gladyston Rodrigues; Bartholo, Gabriel Ferreira; Pereira, Antônio Alves; Rezende, Juliana Costa de; Botelho, Cesar Elias; Oliveira, Antônio Carlos Baião de; Silva, Felipe Lopes daThis paper presents the results of progeny 1190-1170-2, which was recorded as ‘MGS Travessia’ and selected based on its performance in the state of Minas Gerais. The cultivar has short size, cylindrical canopy, high yield capacity, high vegetative vigor, very satisfactory husk/bean ratio, grain quality compatible to traditional cultivars, and is very responsive to skeleton pruning.Item Prediction of genetic gains from selection in arabica coffee progenies(Crop Breeding and Applied Biotechnology, 2011-06) Oliveira, Antonio Carlos Baião de; Pereira, Antonio Alves; Silva, Felipe Lopes da; Rezende, Juliana Costa de; Botelho, César Elias; Carvalho, Gladyston RodriguesGains from selection for yield were estimated in Arabica coffee progenies carrying rust-resistance genes. The experiment in augmented block design was installed in Três Pontas, state of Minas Gerais. Three blocks were established with six plants per plot, spaced 3.50 x 0.90 m, in 96 regular (F 2 progenies) and two control treatments. The plant response to rust was evaluated on a grade scale in 2008. Yield (bags per hectare) was estimated in the growing seasons 2005 to 2008. Significant differences between treatments for yield were observed in all harvests, except 2005. The presence of genetic variability among progenies allowed significant gain from selection for yield. Under the experimental conditions of this study, selection for yield can be performed in the first high-yield year, without major losses compared to genetic gain from selection for yield when based on the mean of four harvests.Item Genetic progress in coffee progenies by different selection criteria(Editora UFLA, 2014-07) Rezende, Juliana Costa de; Botelho, Cesar Elias; Oliveira, Antônio Carlos Baião de; Silva, Felipe Lopes da; Carvalho, Gladyston Rodrigues; Pereira, Antônio AlvesIn order to investigate the aspects related to the use of selection indexes in Coffea arabica breeding, analytical procedures were used: index based on the sum of ranks of Mulamba and Mock (ISR), index of desired gains of Pesek and Baker (DGI), classic index of Smith and Hazel (CI), base index of Williams (BI), and direct and indirect selection (DIS). Thirty-nine progenies were evaluated in the 4 th generation by selfing after the 2 nd backcross between “Catuai” and “Mundo Novo”. The evaluations were realized in coffee plants from 30 months old on, having the following characteristics: yield of eight harvests, classification for blend 16 and over, percentage of floating fruits, vegetative vigor and percentage of flat beans. The analytical procedures of selection indexes showed possibilities of applications in advanced generations of breeding being superior when compared with DIS. The DGI was not appropriate in the situation analyzed in this work. The selection based on CI and BI was the criteria that showed the best results in terms of gains in yield and grain size, and in the distribution of gains in the other characteristics.