Multivariate Analysis of Different Pea (Pisum sativum L.) Genotypes
Journal of Biomaterials
Volume 1, Issue 1, June 2017, Pages: 25-28
Received: Mar. 13, 2017;
Accepted: Apr. 10, 2017;
Published: May 24, 2017
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Md. Rafiul Alam Khan, Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
Md. Mostofa Mahbub, Agronomy Division, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh
Mir Alif Reza, Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
Bir Jahangir Shirazy, Rice Farming Systems Division, BRRI, Gazipur, Bangladesh
Firoz Mahmud, Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
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Forty six pea genotypes were evaluated for thirteen morphological characters during Rabi season, 2010 at Sher-e-Bangla Agricultural University, Dhaka, Bangladesh in randomized complete block design with three replications. The experiment was conducted to estimate the genetic variability in different pea genotypes. High heritability coupled with high genetic advance was recorded for hundred seed weight and pod length. This indicates that the effectiveness of selection depends on to improve these characters. Pod length, hundred seed weight, number of pods per plant, number of seeds per plant showed significant positive correlation with seed yield. The genotypes under the experiment were grouped into six clusters. The highest intra cluster distance was found in cluster III and while cluster II showed no intra-cluster distance values which revealed homogenous nature of the genotype within the cluster. The highest inter cluster distance was look-out between cluster II and V followed by II and IV. Considering genetic variability and heritability, emphasis should be given on traits during phenotypic selection and also intra and inter cluster distances for genotypic selection for developing high yielding genotypes of pea.
Genetic Diversity, Cluster, Heritability, Correlation Coefficient
To cite this article
Md. Rafiul Alam Khan,
Md. Mostofa Mahbub,
Mir Alif Reza,
Bir Jahangir Shirazy,
Multivariate Analysis of Different Pea (Pisum sativum L.) Genotypes, Journal of Biomaterials.
Vol. 1, No. 1,
2017, pp. 25-28.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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