Comparison of methods for selection of castor beans lineages
The choice of the most appropriate method is determined by the precision desired by the researcher, by the ease of the analysis, as well as by the way of obtaining the data. In order to select lineages of low size and high productivity this study aimed to evaluate different methods of cluster analysis in the representation of genetic divergence, compared to univariate methods. The analyzed variables were grain yield, plant size and oil yield of 24 lineages of castor beans cultivated in the years 2014 and 2015. The Single and Average methods presented similar results in the formation of groups and different from the Complete. Evaluating the purpose of this research the Complete method and principal components analysis, together with the discriminant analysis, were considered the most appropriate methods to evaluate the genetic divergence of the castor bean crop. Lineages 18, 19 and 20 showed average grain yields above 1555 kg.ha-1, high oil content (above 46.9%), and low size plants (below 116 cm).
Copyright (c) 2019 Maria Márcia Pereira Sartori, Jackson Silva, Mauricio Dutra Zanotto
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published may be reproduced or utilized in any form or by any means whether specified Comunicata Scientiae, author(s), volume, pages and year. The authors are responsible for all the statements and concepts contained in the article.