Clustering and Principal Component Analysis of Nerica Mutant Rice Lines Growing Under Rainfed Condition

Authors

  • Md. Nuruzzaman Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh-2202
  • Md. Shohel Rana Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh-2202
  • Aleya Ferdausi Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh-2202
  • Md. Monjurul Huda Cotton Development Board, Khamabari, Dhaka
  • Lutful Hassan Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh-2202
  • Shamsun Nahar Begum Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh-2202

DOI:

https://doi.org/10.3126/ijasbt.v7i3.25703

Keywords:

Cluster analysis, Principal component, NERICA, Mutant rice

Abstract

A field experiment was conducted at subtropical region in Bangladesh to assess the contribution of morphological traits to variability in some NERICA mutant rice lines. The experiment was conducted following RCBD with three replications. Thirty-one NERICA rice genotypes (twenty-eight mutant lines along with three parents) of advanced generations were used. Data were collected on twelve morphological traits. The results of the principal component analysis showed that the first four components account for 80% of total variation giving a clear idea of the structure underlying the variables analyzed. This result was also supported by scree test. Cluster analysis using Ward's method classified the thirty-one genotypes into five distinct groups. The maximum inter-cluster distance was observed between clusters indicating the possibility of high heterosis if individuals from these clusters are cross-bred. The results of PCA were closely in line with those of the cluster analysis. These results can now be used by breeders to develop drought tolerant high yielding rice varieties and new breeding protocols for rice improvement.

Int. J. Appl. Sci. Biotechnol. Vol 7(3): 327-334

 

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Published

2019-09-22

How to Cite

Nuruzzaman, M., Rana, M. S., Ferdausi, A., Huda, M. M., Hassan, L., & Begum, S. N. (2019). Clustering and Principal Component Analysis of Nerica Mutant Rice Lines Growing Under Rainfed Condition. International Journal of Applied Sciences and Biotechnology, 7(3), 327–334. https://doi.org/10.3126/ijasbt.v7i3.25703

Issue

Section

Research Articles: Biological Sciences