• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. International Journal of Plant Breeding and Genetics
  2. Vol 4 (4), 2010
  3. 238-246
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

International Journal of Plant Breeding and Genetics

Year: 2010 | Volume: 4 | Issue: 4 | Page No.: 238-246
DOI: 10.3923/ijpbg.2010.238.246

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 262

Authors


B.M. Gichimu


C.O. Omondi


Keywords


  • Genetic variability
  • varieties
  • Ruiru 11, SL28
Research Article

Morphological Characterization of Five Newly Developed Lines of Arabica Coffee as Compared to Commercial Cultivars in Kenya

B.M. Gichimu and C.O. Omondi
Five new lines of Arabica coffee and two existing commercial cultivars planted in the field were characterized morphologically. The objective of this study was to determine the level of morphological variation within and between new and existing coffee varieties in Kenya. Morphological characterization was done using a 25 character coffee descriptors. Both quantitative and qualitative morphological traits were recorded and the binary data were subjected to cluster and principal component analysis. Morphological variation among the genotypes was less than 25 percent. Four main groups were formed when the similarity index was considered for clustering. The improved cultivar, Ruiru 11 and the traditional cultivar SL28 were clustered alone in separate clusters, while two new lines CR8 and CR30 clustered together. The other three new lines CR22, CR23 and CR27 also clustered together in shared sub-clusters. As expected there was very little morphological variation within the varieties. In the principal component analysis, Ruiru 11 separated clearly from the rest and was located on the lower side of the PCA graph. SL28 was grouped with the new lines on the upper part of the PCA graph. The first two principal components accounted for a cumulative variance of 60%. The study demonstrated low morphological variation and hence low genetic variation among the varieties and emphasized the need to broaden the genetic base of Arabica coffee in Kenya. In addition, the study demonstrated minimal morphological variation within the varieties indicative of high genetic consistency.
PDF Fulltext XML References Citation

How to cite this article

B.M. Gichimu and C.O. Omondi, 2010. Morphological Characterization of Five Newly Developed Lines of Arabica Coffee as Compared to Commercial Cultivars in Kenya. International Journal of Plant Breeding and Genetics, 4: 238-246.

DOI: 10.3923/ijpbg.2010.238.246

URL: https://scialert.net/abstract/?doi=ijpbg.2010.238.246

Related Articles

Extent and Pattern of Genetic Diversity for Morpho-agronomic Traits in Ethiopian Sesame Landraces (Sesamum indicum L.)
Analysis of Genetic Parameters for Some Agronomic Traits of Introduced Ethiopian Mustard (Brassica carinata A. Brun) Genotypes
Organoleptic Characterization of Some Limu Coffee (Coffea arabica L.) Germplasm at Agaro, Southwestern Ethiopia
Genetic Variability and Association of Bulb Yield and Related Traits in Shallot (Allium cepa Var. Aggregatum DON.) In Ethiopia
Genetic Variability, Correlation and Path Analysis Studies in Ethiopian Mustard (Brassica carinata A. Brun) Genotypes

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