Periódicos
URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3352
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Resultados da Pesquisa
Item Genetic determination of characteristics related to semi-mechanized coffee harvests(Crop Breeding and Applied Biotechnology, 2020) Dias, Rodrigo Elias Batista Almeida; Dias, Rafael Antônio Almeida; Botelho, César Elias; Abrahão, Juliana Costa de Rezende; Rezende, Tiago Teruel; Carvalho, Gladyston RodriguesBrazilian coffee cultivation was boosted over the last few decades by the mechanization of various field operations. Considering the influence of genetic factors on coffee harvesting efficiency, we aimed to evaluate the use of mechanized harvesting characteristics as a criterion to select progenies derived from ‘Icatu’ germplasm, previously evaluated for agronomic characteristics, resistance to rust and cercosporiosis. We also investigated genotypic and phenotypic correlations between semi-mechanized harvesting characteristics. Ten progenies of Coffea arabica L. were analyzed in two experimental farms during two consecutive harvests. Genetic parameters were evaluated to trace selection strategies. Four progenies that were suitable for mechanization were selected, supporting our hypothesis of the use of harvest characteristics as selection criteria.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.Item Potencial de utilização de características anatômicas e fisiológicas na seleção de progênies de cafeeiro(Editora UFLA, 2016-07) Castanheira, Dalyse Toledo; Rezende, Tiago Teruel; Baliza, Danielle Pereira; Guedes, Janine Magalhães; Carvalho, Samuel Pereira; Guimarães, Rubens José; Viana, Mariana Thereza RodriguesObjetivou-se avaliar o potencial do uso de características anatômicas e fisiológicas, na seleção de progênies de cafeeiro tolerantes ao estresse hídrico. Para as avaliações anatômicas e fisiológicas foram amostradas vinte progênies oriundas de três tipos de grupos de procedências, da população do experimento instalado na UFLA. O delineamento foi inteiramente casualizado, com dois períodos de avaliação. As progênies estudadas apresentam variabilidade genética, tendo sido verificada divergência entre elas. Em geral, a variância genética das progênies é maior no período de seca, indicando que há maior variabilidade entre as progênies, nesse período. Características anatômicas e fisiológicas mostraram-se eficientes como uma tecnologia, para auxiliar a seleção de progênies de cafeeiro.