International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2017, Volume : 5, Issue : 5
First page : (183) Last page : (189)
Article doi: http://dx.doi.org/10.18782/2320-7051.5430
Genetic Diversity Study in Finger Millet (Eleusine coracana L.) Genotypes: A Multivariate Analysis Approach
Savankumar N. Patel1*, Harshal E. Patil2 and Raj C. Popat3
1PG Student, Department of Genetics and Plant Breeding, N. M. College of Agriculture,
Navsari Agricultural University, Navsari-396 450
2Associate Research Scientist (PB), Hill Millet Research Station, Navsari Agricultural University,
Waghai (Dangs)-394 730
3PG Student, Department of Agricultural Statistics, N. M. College of Agriculture,
Navsari Agricultural University, Navsari-396 450
*Corresponding Author E-mail: contact.savanpatel@gmail.com
Received: 12.08.2017 | Revised: 25.08.2017 | Accepted: 26.08.2017
ABSTRACT
Multivariate analysis is an important statistical tool through which we can easily assesses important polygenic characters which are of great importance in a plant breeding programme. The experiment was conducted during kharif, 2016 with 65 germplasm accessions of finger millet to study genetic diversity for yield and yield contributing traits at Hill Millet Research Station, Waghai, Dangs, Gujarat in a randomize block design. The observations for eight morphological characters were recorded. Two multivariate techniques, principal component analysis and cluster analysis were applied. Principal component analysis indicates that three principal components PC-1, PC-2 and PC-3 explains 42.81%, 18.43% and 11.80% respectively of the total variation. The first principal component had showed positive loading for all eight characters considered except for number of tillers per plant. The second principal component had positive loading for two characters viz., days to number of tillers per plant and grain yield while the third principal component had positive loading values for days to 50% flowering, days to maturity, plant height, length of main ear, number of tillers per plant. In cluster analysis sixty five genotypes were grouped into five distinct clusters on basis of Euclidean distance. The result of present study could be exploited in planning and execution of future breeding strategy in finger millet.
Keywords: Principal component analysis, Cluster analysis, Finger millet, Genetic diversity.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Patel, S.N., Patil, H.E. and Popat, R.C., Genetic Diversity Study in Finger Millet (Eleusine coracana L.) Genotypes: A Multivariate Analysis Approach, Int. J. Pure App. Biosci.5(5): 183-189 (2017). doi: http://dx.doi.org/10.18782/2320-7051.5430
