International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:6, June, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(6): 2702-2711

Genetic Diversity Study in Relation to Yield and Quality Traits in Little Millet (Panicum miliare L.)
Savankumar N. Patel1*, Harshal E. Patil2, S. P. Patel1 and U. M. Patel1
1Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari-396 450, Gujarat, India
2Associate Research Scientist (PB), Hill Millet Research Station, Navsari Agricultural University, Waghai (The Dangs)-394 730, India
*Corresponding author

To conduct a successful breeding programme knowledge of genetic divergence is of prime importance for selection of genetically divergent parents from the available germplasm before taking up hybridization programme and the multivariate analysis is an important statistical tool through which we can harness genetic divergence present in the available germplasm. The experiment was conducted with 32 germplasm accessions of little millet to study genetic diversity for yield and yield contributing traits at Hill Millet Research Station, Waghai, The Dangs in a randomize block design. The observations for sixteen morphological and biochemical characters were recorded. Thirty two genotypes of little millet were grouped into seven clusters. The composition of clusters in the present study indicated that a maximum number of diverse genotypes (10 genotypes) appeared in cluster II followed by cluster I (9 genotypes), cluster III (7 genotypes), cluster VII (3 genotypes) while other three clusters (IV to VI) were composed of single genotype. The inter-cluster distance (D) ranged from 5.85 to 16.68. The maximum inter-cluster distance (D= 16.68) was observed between cluster II and VI followed by those between cluster II and V (D= 15.97). The intra-cluster distance within cluster IV, V, VI was zero (0) because these clusters were composed of only single genotype. Analysis corroborated the absence of relationship between geographic origin and genetic diversity, as genotypes from the different area grouped into same clusters and the genotypes of same area were grouped in the different clusters. Therefore, breeder must evaluate their material for genetic diversity and should not merely depend on their geographical origin.

Keywords: Little millet, Genetic diversity, Multivariate analysis, D2 statistics

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How to cite this article:

Savankumar N. Patel, Harshal E. Patil, S. P. Patel and Patel U. M. 2018. Genetic Diversity Study in Relation to Yield and Quality Traits in Little Millet (Panicum miliare L.).Int.J.Curr.Microbiol.App.Sci. 7(6): 2702-2711. doi:
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