Kisua, J. and Mwikamba, K. and Makobe, M. and Muigai, A. (2015) Genetic diversity of sweet and grain sorghum populations using phenotypic markers. International Journal of Biosciences, 6 (9). pp. 34-46.
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Abstract
Genetic diversity of eight sorghum populations using phenotypic markers was explored to generate reliable and important information for successful crop improvement. Mean square values of the studied 16 quantitative traits were used to estimate the degree of population variance based on the variability among the set of quantitative traits measured. Computed simple correlations through pair wise statistical method of the quantitative traits showed a close relationship implicating high heritability of the many related pairs. Calculated results of genetic distances found a wide variation of genetic distances between pairs of phenotypic traits. The analysis of the principal component of the quantitative traits was highly effective since the first four principal components (PC) accounted for 97.19 % of the total variation. The biplot not only showed that some quantitative traits were significantly positively correlated, but also demarcated sweet and grain sorghums. Cluster analysis grouped the populations into two main clusters with a landrace and wild sorghum species each segregating to a singleton. The observed genetic distance ranged from 0.47 to 0.99. Phenotypic frequencies of qualitative traits were used to calculate the phenotypic diversity of the qualitative traits by employing the Shannon-Weaver diversity index (H´). The phenotypic diversity index ranged from grain covering (.70) to leaf midrib color (.95). Therefore, the analysis of genetic diversity under present investigation of the sorghum populations using phenotypic markers is insightful as it provided useful knowledge about the quantum of genetic divergence of the studied populations. The findings under the present study support the continued use of phenotypic markers for genetic diversity studies
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Genetic, Populations, Analysis, Distances |
| Author Affiliation: | School of Biological sciences, Genetics, Jomo Kenyatta University of Agriculture and Technology, P.O Box 6200 –00200 Nairobi, Kenya |
| Subjects: | Crop Improvement |
| Divisions: | Sorghum |
| Depositing User: | Mr B Krishnamurthy |
| Date Deposited: | 10 Sep 2015 10:33 |
| Last Modified: | 10 Sep 2015 10:33 |
| Official URL: | http://dx.doi.org/10.12692/ijb/6.9.34-46 |
| URI: | http://eprints.icrisat.ac.in/id/eprint/13879 |
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