Citation
Abstract
Genetic based knowledge of different vegetative and yield traits play a major role in varietal improvement of rice. Genetic variation gives room for recombinants which are essential for the development of a new variety in any crop. Based on this background, this work was carried out to evaluate genetic diversity of derived mutant lines and establish relationships between their yield and yield components using multivariate analysis. To achieve this objective, two field trials were carried out on 45 mutant rice genotypes to evaluate their growth and yield traits. Data were taken on vegetative traits and yield and its components, while genotypic and phenotypic coefficients, variance components, expected genetic advance, and heritability were calculated. All the genotypes showed variations for vegetative traits and yield and its components. Also, there was positive relationship between the quantitative traits and the final yield with the exception of number of tillers. Finally, the evaluated genotypes were grouped into five major clusters based on the assessed traits with the aid of UPGMA dendrogram. So hybridization of group I with group V or group VI could be used to attain higher heterosis or vigour among the genotypes. Also, this evaluation could be useful in developing reliable selection indices for important agronomic traits in rice.
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Official URL or Download Paper: http://www.hindawi.com/journals/tswj/2014/190531/a...
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Agriculture Faculty of Biotechnology and Biomolecular Sciences Institute of Tropical Agriculture |
DOI Number: | https://doi.org/10.1155/2014/190531 |
Publisher: | Hindawi Publishing Corporation |
Keywords: | Rice mutant line; Quantitative traits; Genetic variability |
Depositing User: | Nabilah Mustapa |
Date Deposited: | 22 Apr 2016 01:19 |
Last Modified: | 22 Apr 2016 01:19 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1155/2014/190531 |
URI: | http://psasir.upm.edu.my/id/eprint/37765 |
Statistic Details: | View Download Statistic |
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