Data/hora: 09/06/2024 07:31:54

Provedor de dados: | 42
País: | Brazil
Título: | Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
Autores: | GILES,JOÃO ANTONIO D.; PARTELLI,FÁBIO L.; FERREIRA,ADÉSIO; RODRIGUES,JOICE P.; OLIOSI,GLEISON; SILVA,FERNANDO H. LIMA E.
Data: | 2018-08-01
Ano: | 2018
Palavras-chave: | Coffea canephora; Dissimilarity; Multivariate analysis; Plant breeding.
Resumo: | Abstract Knowledge of the genetic variability of a population is essential to guide its preservation and maintenance in addition to increasing the efficiency of genetic breeding programs. On this basis, this study was conducted to evaluate the genetic diversity of Coffea canephora genotypes using multivariate statistical procedures applied to a set of morpho-agronomic variables. The materials employed in this study constitute a crop located in Vila Valério - ES, Brazil, where the genotypes are arranged in a randomized-blocks experimental design with four replicates. Significant differences were detected by the F test at the 1% or 5% probability levels among the genotypes for all evaluated traits, demonstrating heterogeneity of genetic constitution in the studied population, which is favorable to breeding, as it indicates the possibility to identify superior and divergent individuals. Based on the generalized Mahalanobis distance, the most divergent combinations were obtained between genotypes 23 and 10 (256.43) and 23 and 17 (250.09). The clusters formed by Tocher’s optimization and the UPGMA hierarchical method agreed, both similarly grouping the genotypes into three clusters. Of the analyzed traits, mature fruit weight (19.08%), yield (15.50%), plant diameter (12.42%), and orthotropic-shoot internode length (10.94%) were the most efficient to explain the dissimilarity among the genotypes.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000502437
Editor: | Academia Brasileira de Ciências
Relação: | 10.1590/0001-3765201820170523
Formato: | text/html
Fonte: | Anais da Academia Brasileira de Ciências  v.90 n.2 suppl.1 2018
Fonte: | info:eu-repo/semantics/openAccess