Coffee Science - v.13, n.3, 2018
URI permanente para esta coleçãohttps://thoth.dti.ufv.br/handle/123456789/10546
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Item Yield, quality and water consumption of conilon coffee m. under irrigated and dryland managements(Editora UFLA, 2018-07) Dardengo, Maria Christina Junger Delôgo; Pereira, Lucas Rosa; Sousa, Elias Fernandes de; Reis, Edvaldo Fialho dosIn this study the goal was to make an assessment and comparison of the yield, quality and water consumed by the Conilon coffee plants under irrigated and dryland types of cultivation, from seedlings raised in different containers and under varying shading levels. The experiment which extended from December 2007 to April 2012 was performed at the IFES, Alegre-ES Campus and involved the study of a total of four crops. The findings showed that the irrigated plants had 162% higher yield on average than did the rainfed plants. For the irrigated plants, the yield indices achieved were 4.5 kg of coffee of the planted / benefited area; 1.9 kg of coconut / beneficiated coffee and 5.6 balms of 80 L sc-1; whereas, for the rainfed plants, the values recorded were 8.2 kg of coffee from the benefited field; 3.1 kg of coconut / beneficiated coffee and 12 balloons of 80 L sc-1. The Conilon coffee grains harvested from the irrigated plants were superior in quality to those from the rainfed plants. For the irrigated plants, the water consumed on average was 7.9 m 3 per plant, while for the rainfall-dependent crop, it was 4.95 m 3 . For the irrigated and rainfed plants the relations between the water consumption / kg of the beneficiated coffee was 8.8 m 3 and 30.3 m 3 , respectively. The type of container and levels of shading exerted no influence on the Conilon coffee with respect to productivity, yield and quality.Item Selection of Coffea arabica L. hybrids using mixed models with different structures of variance-covariance matrices(Editora UFLA, 2018-07) Pereira, Fernanda Aparecida Castro; Carvalho, Samuel Pereira de; Rezende, Tiago Teruel; Oliveira, Leonardo Luiz; Maia, Diego Rosa BaquiãoThis study aimed to evaluate different structures of variance-covariance matrices in modeling of productive performance of coffee genotypes over the years, and select hybrids of Coffea arabica using mixed models. A mixed linear model was used to estimate variance components, heritability coefficients, and prediction of genetic values of hybrids and cultivars. Three commercial cultivars and eight hybrids of C. arabica L. were evaluated. The field production after acclimatization of seedlings was conducted in March 2006. The yield averages from 2009, 2010, 2011, 2013, and 2014 agricultural years were evaluated. The selection criteria of models were used to test 10 structures of variance-covariance matrices, and later a model was chosen to estimate the components of variance, heritability coefficients, and prediction of genetic values. According to Bayesian information criterion (BIC), the best structure was ARMA (Autoregressive Moving Average); however, considering the Akaike Information Criterion (AIC) and corrected Akaike Information Criterion (AICC), the CSH (Heterogeneous Composite Symmetric) was indicated. The Spearman correlation between the genotypic values obtained in the models with ARMA and CSH type R matrix was 0.84. The high and positive correlation indicates that the best model could involve the R matrix with ARMA or CSH structure. The heritability of individual genotypes differed from heritability in broad sense, which considers the independence among agricultural years. Hybrids with higher performance were identified by ordering the genotypic effects, among them, H 2.2, H 4.2, and H 6.1 hybrids were highlighted.