Multivariate Analysis and its Application for Screening Mungbean [Vigna radiata (L.) Wilczek] Landraces

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BENLİOĞLU B., ÖZKAN U.

LEGUME RESEARCH, vol.45, no.3, pp.299-304, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 45 Issue: 3
  • Publication Date: 2022
  • Doi Number: 10.18805/lrf-661
  • Journal Name: LEGUME RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, Veterinary Science Database
  • Page Numbers: pp.299-304
  • Keywords: Cluster analysis, Greengram, Phenotypic characterization, Principal component analysis, Yield components, YIELD COMPONENTS
  • Ankara University Affiliated: Yes

Abstract

Background: Mungbean [Vigna radiata (L.) Wilczek] is known as one of the important crop of the Vigna group. In order to determine morphological traits of mungbean, multivariate analysis will provide important advantages in the selection phase of future breeding programs. Multivariate statistical analysis was used to determine and classify these traits. Multivariate analysis, that includes principal component analysis (PCA) and cluster analysis (CA), is considered the best tool for selecting promising genotypes in the future breeding programs.