Coffee Science

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

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2020 - 20222

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Assunto: search.filters.subject.Breeding

Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
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    Selection of Conilon coffee clones for the Zona da Mata region of Minas Gerais, Brazil
    (Universidade Federal de Lavras, 2022-06-09) Moura, Waldênia de Melo; Pedrosa, Adriene Woods; Oliveira, Rebeca Lourenço de; Cecon, Paulo Roberto; Ferrão, Romário Gava; Ferrão, Maria Amélia Gava; Verdin Filho, Abraão Carlos
    Recently, the cultivation of Coffea canephora species has expanded as a consequence of climate change effects and emerging markets that use this cof-fee as raw material. To meet such demands of production, it is necessary to also improve yield in cultivated areas. Hence, this study aimed to evaluate Conilon coffee clones to identify the most promising fitting material for the Zona da Mata region of Minas Gerais, as well as to analyze the effect of the genotype x biennium interaction and estimate correlation coefficients among evaluated characteristics. Vegetative vigor, yield, main pests and diseases were evaluated in 36 clones from Incaper, ES. The statistical analyses considered the averages of each biennium: Biennium 1 (B1) - 2005/2006; Biennium 2 (B2) - 2007/2008; Biennium 3 (B3) - 2009/2010, and also the average of three biennia (A3B). Univariate and joint statistical analysis were performed, as well as estimates of phenotypic, genotypic and environmental correlation coefficients among assessed characteristics. A wide variability among clones was observed for most of the evaluated characteristics for both each biennium and the average of three biennia. The severities of most diseases have reduced over the years of cultivation. The genotypic correlation coefficients have overcome phenotypic and environmental ones. In general, pests and diseases severities showed significant and negative correlations with vegetative vigor and yield. On the other hand, the last two characteristics were posi-tively correlated. It was also evidenced a certain diversity among clones for most of the evaluated traits. Clone x biennium interaction was significant only for yield and leaf rust severity. There are negative correlations among the characteristics associated with yield and pests and diseases occurrences, which make it possible the use of yield variable as a selection parameter. Clones 24, 23, 28, 26, 21, 29 and 06 MG/ES present a higher potential for cultivation in the Zona da Mata of Minas Gerais.
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    Estimation of genetic parameters and selection of Coffea canephora progenies evaluated in Brazilian Western Amazon
    (Editora UFLA, 2020) Bergo, Celso Luis; Miqueloni, Daniela Popim; Lunz, Aureny Maria Pereira; Assis, Giselle Mariano Lessa de
    Coffee has emerged as an economic alternative culture in the State of Acre, Brazil, but without a clonal variety recommended for the state to overcome the unevenness presented by seed crops. Thus, in order to estimate genetic parameters and indicate progenies of Coffea canephora to compose a clonal variety for the State of Acre, yield, vegetative vigor and plant height were evaluated in five harvests of a randomized complete block experiment with 46 progenies, 4 repetitions and 10 plants per plot by mixed model methodology (REML/BLUP). The harvests were evaluated individually, by the model that considers one harvest, one location and the mean of progenies, and joint analysis (all harvests), by repeatability model with stability and temporal adaptability by the harmonic mean of relative performance of genotypic values method (MHPRVG), with genotypic values of progenies grouped by the Tocher method. There was variability, with possibility of selection, only for grain yield. The yield was strongly affected by production bienniality, with high environmental influence and harvests mean ranging from 14.13±4.60 to 46.20±14.94 bags ha-1 and individual heritabilities from 0.10 to 0.44. Sixteen‘Conilon’ coffee progenies with selection gains above 23% were selected. The MHPRVG method allows the refinement of progeny selection throughout the harvests, identifying the most adapted and stable.