• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Pakistan Journal of Biological Sciences
  2. Vol 15 (2), 2012
  3. 85-91
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Pakistan Journal of Biological Sciences

Year: 2012 | Volume: 15 | Issue: 2 | Page No.: 85-91
DOI: 10.3923/pjbs.2012.85.91

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 78

Authors


A.A. Kandil

Country: Egypt

A.E. Shareif

Country: Egypt

T.A. Abo-Zaied

Country: Egypt

A.G.T. Moussa

Country: Egypt

Keywords


  • Flax genotypes
  • genotypic coefficient of variation
  • PC axis
  • phenotypic coefficient of variation
Research Article

Multivariate Analysis of Some Economic Characters in Flax

A.A. Kandil, A.E. Shareif, T.A. Abo-Zaied and A.G.T. Moussa
Twenty one parent flax genotypes and twenty F1 hybrids using principal components analysis based on 16 quantitative charismas were used to study the genetic relationship. Analysis of variance exposed high significant differences for all studied charismas among genotypes. High Genotypic Coefficient of Variation (GCV) values were observed with high Phenotypic Coefficient of Variation (PCV) for seed yield/plant, number of capsules/plant, fruiting zone length, main stem diameter and seed index which designated that variation for these characters substantively donates to the total variability moderate to low PCV and GCV were perceived for fiber characters, earliness and growth characters, respectively. Most characters, showed high heritability estimated in broad sense (>70%) indicated that selection based on these characters would be effective as they are likely to be controlled by additive genes. The first five principal components were significant and accounted 78.2% of a total variance of all characters. The maximal amount of difference is shown in the first PC axis were 25.3%. Stem diameter, seed yield/plant, number of capsules/plant, straw yield/plant, fruiting zone length, number of apical branches and number of seed/capsules were a primary source of variation of the first PC axes and give high coefficients, respectively. While, the biggest coefficient in PC2 were earliness characters, plant height and fiber length. The other rest PC axes deals with seed index, fiber fineness and oil contented. The flax genotypes were plotted according to the first two PC axis. The most earlier parents Gowhar and L6 were separated according to PC2 since this axis deals with earliness characters.
PDF Fulltext XML References Citation

How to cite this article

A.A. Kandil, A.E. Shareif, T.A. Abo-Zaied and A.G.T. Moussa, 2012. Multivariate Analysis of Some Economic Characters in Flax. Pakistan Journal of Biological Sciences, 15: 85-91.

DOI: 10.3923/pjbs.2012.85.91

URL: https://scialert.net/abstract/?doi=pjbs.2012.85.91

Related Articles

Genetic Variability of Ethiopian Mustard (Brassica carinata A. Brun) Accessions Based on Some Morphological Characters
Genetic Variation of Different Crosses of Linseed (Linum usitatissimum L.) Genotypes for Some Agro-morphological Traits
Genetic Variability, Heritability and Genetic Advance in Tef (Eragrostis tef (Zucc.) Trotter) Lines at Sinana and Adaba
Determination of Correlation and Path Analysis among Yield Components and Seed Yield in Oil Flax Varieties (Linum usitatissimum L.)
Genetic Variability of Wild Provenances of Acacia tortilis ssp. raddiana (Savi) Brenan in South of Morocco
Genetic Variability and Selection Criteria in Fine Rice (Oryza sativa L.)
Genetic Variability, Heritability and Path Analysis in Snake Gourd (Trichosanthes anguina L.)

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved