Skip to main navigation Skip to main content
  • KSBS
  • E-Submission

Plant Breed. Biotech. : Plant Breeding and Biotechnology

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS

Page Path

1
results for

"Bullo Neda"

Article category

Keywords

Publication year

Authors

"Bullo Neda"

Research Article
The Study of Morphological Characteristics and Statistics of the Phenotypes and Correlation in Faba Bean (Vicia faba L.) Germplasm
Bullo Neda, Tileye Feyissa, Kifle Dagne, Ermias Assefa
Plant Breed. Biotech. 2021;9(2):139-163.   Published online June 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.2.139

Faba bean is amongst the most important food legumes in the world. Ninety landraces and six released faba bean accessions were evaluated for variability parameters, correlation, and path coefficients for nineteen traits at two locations over two years. There were significant differences (P < 0.05) to very high significant differences (P < 0.001) among accessions for all traits considered in all environments except for leaf width, days to flowering, number of seeds per pod, and seed filling period which were non-significant at Girar Jerso in 2018 and number of branches per plant was also non-significant at Degem in 2018. In this study phenotypic coefficient of variation, genotypic coefficient of variation, and broad-sense heritability also revealed medium to high values for most traits. Genetic gains expected from selecting the top 5% of the genotypes, as a percent of the mean varied from 0.49% to 145.83%. High heritability coupled with high genetic advance as percent of mean was observed for most of the traits, indicating an improvement in these traits through simple selection. Path coefficient analysis indicated, traits that had a positive direct effect and correlation with grain yield, could be used as a reliable indicator in indirect selection for higher grain yield.

Citations

Citations to this article as recorded by  
  • The Pearson’s χ2 test is feasible for plant biotechnology experiments involving quantitative data
    José Carlos Lorenzo, Daviel Gómez, Lisbet Pérez-Bonachea, Yanier Acosta, Barbarita Companioni, Byron E. Zevallos–Bravo, María de Lourdes Tapia y Figueroa, Elliosha Hajari
    Vegetos.2025; 39(2): 811.     CrossRef
  • Genome-wide association studies revealed DArTseq loci associated with agronomic traits in Turkish faba bean germplasm
    Tolga Karaköy, Faruk Toklu, Eylem Tuğay Karagöl, Damla Uncuer, Yeter Çilesiz, Amjad Ali, Muhammad Azhar Nadeem, Hakan Özkan
    Genetic Resources and Crop Evolution.2024; 71(1): 181.     CrossRef
  • Correlation and Path Coefficient Analysis of Yield and Yield Components in Faba Bean (<i>Vicia faba </i>L.) Genotypes
    Solomon Shferaw, Wossen Tarekegne
    American Journal of BioScience.2024; 12(4): 101.     CrossRef
  • Generation Mean Analysis, Heterosis, and Genetic Diversity in Five Egyptian Faba Beans and Their Hybrids
    Mohamed S. Abd El-Aty, Mahmoud A. El-Hity, Tharwat M. Abo Sen, Ibrahim A. E. Abd El-Rahaman, Omar M. Ibrahim, Ammar Al-Farga, Amira M. El-Tahan
    Sustainability.2023; 15(16): 12313.     CrossRef
  • Exploration of global faba bean germplasm for agronomic and nitrogen fixation traits
    L. Boots‐Haupt, K. Brasier, R. Saldivar‐Menchaca, S. Estrada, J. Prieto‐Garcia, J. Jiang, R. Riar, J. Hu, H. Zakeri
    Crop Science.2022; 62(5): 1891.     CrossRef
  • 12 View
  • 0 Download
  • 5 Crossref