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Vol. 11, Issue 2 (2022)

Multivariate analysis of wild germplasm of rice

Ganesh Kumar Koli, Sneha Gupta, Gayatri Kumawat, Bapsila Loitongbam, PK Singh and B Sinha
In plant breeding, characterization of different morphological traits is the basis requirement for selection of the breeding programme. In present study, forty wild germplasms received from National Research Center on Plant Biotechnology, New Delhi were included to characterize them on the bases of twelve morphological traits. This study was conducted at rice experimental field of Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India during kharif season, 2018. To study the variation and to determine the relative contribution of various traits for total variability, Principal component analysis was used. The first four principal component exhibited more than one Eigen value like PC 1 with value 4.5003 and PC 2 with 2.5923 PC 3 with 1.5991 and PC 4 with 1.2348 and these four principal components accounted for 82.72 percent of the total variation. The genotypes WRG(NKS)-440 along PCA I axis and WRG(NKS)-401 along PCA II axis identified on extreme positive side on both the axis were considered to be the best genotypes. These genotypes can be best for future breeding program in rice. The characters viz., days of flowering, panicle length and spike fertility explained the maximum variance in PC 1. These results of principal component analysis shows the high genetic variation and hence this population group and characters can be suitable for further breeding programme for rice improvement.
Pages: 973-975  |  241 Views  74 Downloads

The Pharma Innovation Journal
How to cite this article:
Ganesh Kumar Koli, Sneha Gupta, Gayatri Kumawat, Bapsila Loitongbam, PK Singh, B Sinha. Multivariate analysis of wild germplasm of rice. Pharma Innovation 2022;11(2):973-975.

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