African Journal of
Plant Science

  • Abbreviation: Afr. J. Plant Sci.
  • Language: English
  • ISSN: 1996-0824
  • DOI: 10.5897/AJPS
  • Start Year: 2007
  • Published Articles: 809

Full Length Research Paper

Morphological characterization of blackberry (Rubus subgenus Rubus Watson) genetic resources in Kenya

Jared A. Ochieng
  • Jared A. Ochieng
  • Department of Crops, Horticulture and Soils, Egerton University, P. O. Box 536-20115, Egerton, Njoro, Kenya.
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Robert M. Gesimba
  • Robert M. Gesimba
  • Department of Crops, Horticulture and Soils, Egerton University, P. O. Box 536-20115, Egerton, Njoro, Kenya.
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Maurice E. Oyoo
  • Maurice E. Oyoo
  • Department of Crops, Horticulture and Soils, Egerton University, P. O. Box 536-20115, Egerton, Njoro, Kenya.
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Paul C. Korir
  • Paul C. Korir
  • Department of Crops, Horticulture and Soils, Egerton University, P. O. Box 536-20115, Egerton, Njoro, Kenya.
  • Google Scholar
James O. Owuoche
  • James O. Owuoche
  • Department of Crops, Horticulture and Soils, Egerton University, P. O. Box 536-20115, Egerton, Njoro, Kenya.
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Miheso M.
  • Miheso M.
  • Kenya Agriculture and Livestock Research Organization, Food Crops Research Institute, P. O. Box Private Bag, Njoro, Kenya.
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  •  Received: 17 August 2018
  •  Accepted: 08 October 2019
  •  Published: 30 November 2019

Abstract

The variation of morphological and physiological traits of blackberry (Rubus subgenus Rubus Watson) is vital for successful breeding of the fruit crop. The objective of this study was to characterize blackberry accessions in-situ using morphological descriptors in Kenya. Each blackberry accession was nested within its county of collection. A phylogenetic tree was then constructed using the Gower’s coefficient which clustered the accessions into two classes; I and II consisting of 1 and 89 accessions, respectively. The clustering of accessions did not show an association between the origin of collection and the accessions. Principal Component Analysis (PCA) revealed ten axes of which seven had a cumulative variation of 96.30% with the first two axes having a discriminatory variance of 52.71%. This suggests that variables identified in this study could be used to differentiate blackberry accessions morphologically. This study demonstrated that the number of internodes per average growing shoots, thorniness of the plant and length of internode were associated with the first axis with Eigenvalue of 27.79%. Plant thorniness was also associated with the second axis with Eigenvalue of 24.92%. These results suggest that there exists qualitative and quantitative variation among blackberry accessions in Kenya that can be utilized in breeding.

 

Key words: Morphological diversity, Rubus subgenus Rubus Watson, accessions, cluster analysis.