Comparisons among dissimilarity measures and multivariate statistichs as criterions for directing hibridizations in oat

Ciência Rural

Schmidt, Douglas André Mallmann¹  Lorencetti, Claudir¹  Carvalho, Fernando Irajá Félix de¹  Benin, Giovani¹  Silva, José Antonio Gonzalez¹  Kurek, Andreomar Jose²  Marchioro, Volmir Sergio¹  Oliveira, Antônio Costa de¹  Cruz, Pedro Jacinto¹  Hartwig, Irineu¹ 

[1] Universidade Federal de Pelotas, Pelotas;CEFET-PR

关键词: choice of parents;    principal components;    canonical variables;    cluster analyses;   

DOI  :  10.1590/S0103-84782003000400011

学科分类：农业科学（综合）

来源: Universidade Federal de Santa Maria * Centro de Ciencias Rurais

【 摘 要 】

Genetic dissimilarity measures are commonly used by plant breeders to identify different genotypes to get desired segregant populations. This study was proposed to establish the relationship between different multivariate techniques to estimate divergence. The experiment was performed during the growing season of 2001, where twelve oat cultivars were tested for seven agronomic traits, using the random blocks experimental design with four replications. Euclidian and Mahalanobis distances showed low correlation (0.529) and when used to build dendrograms did not show similar clustering. The graphic techniques analysis through principal components and canonical variables also showed distinct spreading patterns. However, in spite of the observed discrepancies among the methodology analyzed, it was possible to recognize dissimilar genotypes with high average that can be used with large success probability in selected artificial hybridizations in oats.

【 授权许可】

CC BY-NC