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基于形态农艺变量的优良“康尼伦”咖啡无性系的遗传多样性

Genetic diversity of promising 'conilon' coffee clones based on morpho-agronomic variables.

作者信息

Giles João Antonio D, Partelli Fábio L, Ferreira Adésio, Rodrigues Joice P, Oliosi Gleison, Silva Fernando H Lima E

机构信息

Centro Universitário Norte do Espírito Santo, Universidade Federal do Espírito Santo/UFES, Rodovia BR 101 Norte, Km 60, Bairro Litorâneo, 29932-540 São Mateus, ES, Brazil.

Centro de Ciências Agrárias, Universidade Federal do Espírito Santo/UFES, Alto Universitário, s/n, Guararema, 29500-000 Alegre, ES, Brazil.

出版信息

An Acad Bras Cienc. 2018 Aug;90(2 suppl 1):2437-2446. doi: 10.1590/0001-3765201820170523.

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.

摘要

了解种群的遗传变异性对于指导其保存和维持至关重要,此外还能提高遗传育种计划的效率。在此基础上,本研究采用多变量统计方法,对一组形态农艺变量进行分析,以评估卡内弗拉咖啡基因型的遗传多样性。本研究使用的材料是位于巴西圣埃斯皮里图州瓦莱里奥镇的一种作物,其基因型采用随机区组试验设计,重复四次。通过F检验在1%或5%的概率水平上检测到所有评估性状的基因型间存在显著差异,这表明所研究种群的遗传构成具有异质性,这对育种有利,因为这表明有可能识别出优良和有差异的个体。基于广义马氏距离,基因型23与10(256.43)以及23与17(250.09)之间获得了最具差异的组合。通过托彻优化法和UPGMA层次聚类法形成的聚类结果一致,均将基因型相似地分为三个聚类。在所分析的性状中,成熟果实重量(19.08%)、产量(15.50%)、植株直径(12.42%)和直立枝节间长度(10.94%)是解释基因型间差异最有效的性状。

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