Multivariate Based Diversity Analysis in Indian Mustard (Brassica juncea L.) Genotypes by Principle Component Analysis

Author: Shubham Chakraborty, Awnish Kumar*, Chandan Kishore, Ravi Shankar Singh, Anil Kumar, Anand Kumar and Mankesh Kumar

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Abstract

Thirty three accessions including four checks of Indian mustard (Brasssica juncea L.) were evaluated in randomized block design having three replication for 10 quantitative characters to study the genetic diversity and correlation at Oilseed section, Bihar Agricultural University, Sabour, Bhagalpur. Multivariate based diversity analysis was determined in present research using Principle Component Analysis (PCA). To draw the inference for genetic diversity, data were recorded for ten quantitative traits viz. days to 50% flowering, days to maturity, plant height, Number of primary branches, Number of secondary branches per plant, Number of siliqua per plant, Siliqua length, Seed per siliqua, Test weight and Seed yield per plot. To estimate the relative contribution of each traits in total variability, principal component analysis was done. The analysis revealed the cumulative variability of 82.25 % expressed by the first five major axis. The eigen-value of the first principal component e

Keywords

Genetic diversity; Indian mustard; PCA; germplasm.

Conclusion

Principal component analysis has found a few main characteristics that play a key role in categorizing the existing variation of the germplasm set. The number of primary branches, seeds per siliqua, siliqua per plant, and seed yield per plot in different principle components were shown to be the most essential for accounting the variance. Hence, these traits must be given due importance while selecting genotypes for varietal development. Since, variability in any population is the main component of any breeding programme and presence of genetic variability is a must for crop breeding. As a result of the findings, the high degree of genetic diversity among genotypes was observed, as well as the traits that contribute to this diversity. Hence, the results of this study will be more useful in selecting promising parents for enhancing different morphological characteristics that affect yield in Brassica juncea.

References

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How to cite this article

Chakraborty, S., Kumar, A., Kishore, C., Singh, R.S., Kumar, A., Kumar, A. and Kumar, M. (2021). Multivariate Based Diversity Analysis in Indian Mustard (Brassica juncea L.) Genotypes by Principle Component Analysis. Biological Forum – An International