Genetic variability in elite barley genotypes based on the agro-morphological characteristics evaluated under irrigated system

• Published in: Ciência e Agrotecnologia
• Main Authors: Renato Fernando Amabile, Fábio Gelape Faleiro, Flávio Capettini, José Ricardo Peixoto, Ricardo Meneses Sayd
• Format: Article in Journal/Newspaper
• Language: English; Spanish; Portuguese
• Published: Universidade Federal de Lavras
• Subjects: Diversidade genética; Hordeum vulgare L; recursos genéticos; Cerrado; Agriculture (General); S1-972; Antártica
• Online Access: https://doi.org/10.1590/1413-70542017412010116; https://doaj.org/article/c178fa6d153f417aa0f24019f4f2e548

ABSTRACT Recently, researches have shown that the Brazilian savannah has a great potential to supply the demand for barley grains. The purpose of this study was to assess the genetic variability in 39 elite barley (Hordeum vulgare L.) genotypes based on the agro-morphological traits of a crop irrigated in the savannah system. An irrigation experiment in the design of complete randomized block with four replicates was conducted at Federal District - Brazil. The evaluated traits were: distance from the last knot to the rachis, distance from the flag leaf to rachis, spike length, number of grains by ear, flag leaf area, plant height, silking, lodging, grain yield, thousand-seed weight, protein content and grain commercial classification. After using analysis of variance the means were used to estimate the genetic dissimilarity among all genotypes pairs based on the Mahalanobis’ generalized distance. Cluster analysis using genetic distance matrix was performed having Unweighted Pair Group Method using Arithmetic Means method (UPGMA) as the criteria. Highly significant differences were found among the genotypes for all traits evaluated. The high coefficient of genetic variation indicates the possibility of having genetic gains for all traits. The traits that most contributed to the variability were the flag leaf area and silking, while the protein content and lodging were the traits that contributed the least. Based on the cluster analysis, at least three major groups of similarity were found. There was a clustering trend of two and six-rowed materials. The most divergent genotypes were PFC 2005123, Antártica-1, Nandi and FM 404.