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Genetic diversity among kenaf mutants as revealed by Qualitative and Quantitative traits


Citation

Al-Mamun, Mohammad and Rafii, Mohd and Oladosu, Yusuff and Misran, Azizah and Berahim, Zulkarami and Khan, Mahmudul Hasan and Arolu, Fatai (2022) Genetic diversity among kenaf mutants as revealed by Qualitative and Quantitative traits. Journal of Natural Fibers, 19 (11). 4170 - 4187. ISSN 1544-0478; ESSN: 1544-046X

Abstract

Understanding the genetic variability using different qualitative and quantitative traits plays a significant role in kenaf breeding program. To achieve this objective, a study was conducted on yield and yield components over two planting seasons to evaluate genetic diversity and heritability among kenaf mutant lines using multivariate analysis to identify superior genotype for future breeding program. Highly significant differences (p ≤ 0.01) was recorded among the qualitative and quantitative traits. Strong to moderately positive phenotypic correlation was observed between dry fiber weights for all the morphological traits except top diameter and days to flowering. The 31 studied genotypes were grouped into six major clusters based on the UPGMA dendrogram. Principal component analysis based on the correlation matrix of 15 quantitative traits showed that the first five components accounted for 85.16% of the total variation of the genotypes. Based on diversity pattern and morphophysiological performance, hybridization of group IV with group VI, or group III, group V and group I could be used to attain high vigor or heterosis with a comparative photo-insensitive variety with high fiber yield. Also, this evaluation could be useful in developing reliable selection criteria for future improvement in kenaf breeding programs.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
Institute of Tropical Agriculture and Food Security
DOI Number: https://doi.org/10.1080/15440478.2020.1856268
Publisher: Taylor & Francis
Keywords: Kenaf; Mutant; Genetic diversity; Heritability; Cluster analysis; Correlation
Depositing User: Ms. Che Wa Zakaria
Date Deposited: 05 Aug 2024 07:35
Last Modified: 05 Aug 2024 07:35
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/15440478.2020.1856268
URI: http://psasir.upm.edu.my/id/eprint/101610
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