ResumoEste trabalho objetivou identificar a divergência genética entre acessos de cafeeiro do grupo Maragogipe, situados no Banco Ativo de Germoplasma de Café do Estado de Minas Gerais, no município de Patrocínio (MG), por meio de análises multivariadas. Foram avaliados 27 descritores morfo-agronômicos, e a distância generalizada de Mahalanobis foi usada para quantificar a divergência genética entre os acessos. Como estratégias de agrupamento, foram empregados o agrupamento de Tocher, o método hierárquico Unweighted Pair-Group Method Using Arithmetic Averages (UPGMA) e a análise de variáveis canônicas. A análise de agrupamento pelos métodos de Tocher e UPGMA separaram os acessos em três e seis grupos, respectivamente. A análise da contribuição relativa de cada característica para a dissimilaridade genética destacou as características intensidade da ondulação da folha, quantidade de inflorescência por axila foliar e produtividade média como as que mais contribuíram para a obtenção da divergência genética. Observou-se que as três primeiras variáveis canônicas explicaram mais de 90% da variância total contida no conjunto das características analisadas. A combinação entre os acessos MG0167 e MG0170 é a mais promissora em um possível cruzamento para uso imediato em programas de melhoramento.Palavras-chave: Coffea arabica, análise multivariada, melhoramento genético. Genetic divergence between coffee trees of the Maragogipe germplasm AbstractThis study aimed to identify the genetic divergence among coffee trees of the Maragogipe group in the active germplasm coffee bank in Patrocínio, Minas Gerais, Brazil, using multivariate analyzes. In the study, 27 morpho-agronomical descriptors were assessed. Mahalanobis generalized distance was applied to quantify the genetic divergence among genotypes. The following methods were used: Tocher clustering, Unweighted Pair-Group Method Using Arithmetic Averages (UPGMA) hierarchical clustering and the canonical variables analysis. The cluster analysis by Tocher method and the UPGMA separated the accessions into three and six groups, respectively. The analysis of the relative contribution of each characteristic to the genetic dissimilarity highlighted the intensity of curling leaf, inflorescence number per leaf axil and average yield as those that contributed most to the achievement of genetic divergence. It was observed that the first three canonical variables explained more than 90% of the total variance contained in the set of the analyzed characteristics. The combination between MG0167 and MG0170 accessions is the most promising for a possible crossing for immediate use in breeding programs.
Resumo -Foi disponibilizada a cultivar BRSMG Caravera, de arroz de terras altas, para o cultivo em Minas Gerais. A cultivar possui arquitetura moderna, resistência ao acamamento, ciclo de maturação de 113 dias, moderada resistência às principais doenças, à exceção da brusone-da-panícula, à qual é moderadamente suscetível, alto potencial produtivo, grão tipo longo-fino de alta qualidade culinária. BRSMG Caravera: upland rice cultivarAbstract -It is available the cultivar BRSMG Caravera of upland rice for Minas Gerais, Brazil. The cultivar has a modern architecture, lodging resistance, 113-day maturation cycle, moderate resistance to the main diseases, except for panicle blast -to which it is moderately susceptible -, high yielding potential, thin and long grains of high cooking quality.
-The uneven rainfall distribution in Minas Gerais
The objective of this study was to evaluate the genetic divergence of coffee genotypes resistant to rust, of the Germplasm Bank from Minas Gerais, based on anatomical features. A total of 12 foliar anatomical characteristics were assessed, and Mahalanobis distance was used to quantify the genetic divergence between genotypes. The Tocher method and the hierarchical method of UPGMA (Unweighted Pair-Group Method Using Arithmetic Averages) were used as group strategy. Moreover, relative contribution analyses of the variables were made. There was genetic variability between genotypes, and the analysis of Tocher and UPGMA grouping separated the genotypes into five and seven distinct groups, respectively. The MG 0582 genotype stood out as the most divergent based on the evaluated anatomical features. There is great genetic variability for the characteristics of foliar anatomy among the 15 genotypes evaluated, allowing to select superior genotypes based on these characteristics.
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