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Vol. 12, Issue 3 (2023)

Assessment of genetic diversity of sweet corn (Zea mays conva. Saccharata var. rugosa) genotypes using D2 statistics

Author(s):
Rumit Patel, Juned Memon, Dipak A Patel, Kalyanrao Patil and Tejaskumar Borkhatariya
Abstract:
The existence of a mutant form of one or more minor alleles in the endosperm that contributes in starch synthesis distinguished modern sweet corn from other maize. Current study was performed to identify diverse genotypes for developing good hybrid and exploit heterosis. This study also aimed to identify diverse material for prebreeding as an objective of maize improvement. In this experiment Mahalanobis D2 multivariate technique was used to calculate diversity. Highest distance of 1546.34 was observed between 1820197/T1 and 1820196/T2 while lowest distance of 28.66 was observed between 1820193/T2 and 1820195/20 genotypes. Similarly, Cluster V had greater intra cluster distance indicated the highest diversity. Cluster II and Cluster VII had highest distance provide the genotypes for pre breeding and help to improve sweet corn.
Pages: 2642-2645  |  231 Views  139 Downloads


The Pharma Innovation Journal
How to cite this article:
Rumit Patel, Juned Memon, Dipak A Patel, Kalyanrao Patil, Tejaskumar Borkhatariya. Assessment of genetic diversity of sweet corn (Zea mays conva. Saccharata var. rugosa) genotypes using D2 statistics. Pharma Innovation 2023;12(3):2642-2645.

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