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P-ISSN: 2618-060X, E-ISSN: 2618-0618   |   Impact Factor: RJIF 5.24, NAAS (2024): 5.20

2024, Vol. 7, Issue 2, Part G

Morphological diversity analysis for quantitative traits in Quality Protein maize (QPM)


Digvijay Singh, Swapnil, Nitesh Kushwaha, Tushar Arun Mohanty, Ajay Kumar, Rajesh Kumar and Mithilesh Kumar Singh

Genetic divergence among parents is of paramount importance in selecting them for hybridization programme. D2 statistics used to measure the genetic divergence among the genotypes has been successfully utilized by the breeders to analyze the morphological diversity. Hybridization is one the tools to create variability. One may create more variability through hybridization when parents are diversed. Hence, genetic diversity in the parents is a prerequisite for crop improvement programmes. The genetic divergence among 25 genotypes of QPM inbreds were estimated by using Mahalanobis D2 statistic for eleven characters. The twenty five maize genotypes were grouped into seven different clusters based on the Inter-genetic distance. This indicates the presence of considerable diversity in the genotypes studied. Clustering pattern indicated that 15 out of 25 genotypes belongs to the same cluster that is cluster I followed by cluster IV with 4 genotypes, cluster III with 2 genotypes and cluster II, V, VI and VII having 1 genotype (mono-genotypic). The average intra cluster distance range from 3.19 to 12.11. The maximum intra cluster distance was observed in cluster IV (12.11), followed by cluster I (9.18), cluster III (3.19). Cluster II exhibited close proximity with cluster VI (9.22) and maximum divergence with cluster VII (50.23). Cluster III was nearest to cluster VII (15.32), while it was farthest from cluster II (33.02). Cluster IV showed close proximity with cluster V (19.13) and maximum divergence with cluster VI (29.47). Cluster V exhibited intimate relation with cluster VII (22.29) and wide diversity with cluster VI (57.85). Farthest clusters for Cluster VI is Cluster VII (39.07). Percent contribution of eleven quantitative characters to total divergence were found maximum for ear length (27.67 %) and minimum for No. of kernel rows per ear (0.33 %). The analysis of divergence indicated significant differences among parental lines for all the agro-morphological characters. On the basis of results obtained in the present investigation, it was concluded that the allelic diversity can be used for future breeding program. The traits under study are also major yield contributing traits and are largely associated with each other. Therefore, these traits should be taken into consideration either simultaneously or alone for selecting a high yielding maize genotype.
Pages : 524-528 | 102 Views | 42 Downloads


International Journal of Research in Agronomy
How to cite this article:
Digvijay Singh, Swapnil, Nitesh Kushwaha, Tushar Arun Mohanty, Ajay Kumar, Rajesh Kumar, Mithilesh Kumar Singh. Morphological diversity analysis for quantitative traits in Quality Protein maize (QPM). Int J Res Agron 2024;7(2):524-528. DOI: 10.33545/2618060X.2024.v7.i2g.466
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