首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Uso do algoritmo de Gower na determinao da divergência genética entre genótipos de Carthamus tinctorius L.
  • 本地全文:下载
  • 作者:Joo Paulo Egues Lira ; Andressa Alves Cabreira dos Santos ; Altacis Junior de Oliveira
  • 期刊名称:Research, Society and Development
  • 电子版ISSN:2525-3409
  • 出版年度:2022
  • 卷号:11
  • 期号:8
  • 页码:1-8
  • DOI:10.33448/rsd-v11i8.30044
  • 语种:English
  • 出版社:Grupo de Pesquisa Metodologias em Ensino e Aprendizagem em Ciências
  • 摘要:Safflower is a crop with a high capacity to develop and produce satisfactorily under adverse environmental conditions. Thus, the analysis of genetic diversity in gene banks is an important component in the selection of genotypes with desirable characteristics that promote genetic gain in the offspring. Given the above, the present work aimed to estimate the genetic divergence between safflower genotypes using the Gower algorithm for the joint study of quantitative and qualitative data. The experiment was developed in the experimental area of the Mato Grosso Company for Research, Assistance and Rural Extension, in the city of Cáceres-MT. We evaluated 124 genotypes of Carthamus tinctorius L. through their agronomic and morphological characteristics. The divergence among the genotypes was estimated by multivariate analysis, based on Gower's algorithm for the 21 characteristics. Variability among individuals was detected, demonstrating the effective Gower method to estimate the divergence between genotypes.
  • 关键词:Safflower;Multivariate analysis;Genetic improvement.
国家哲学社会科学文献中心版权所有