Vol. 7, Special Issue 6 (2019)
Photo thermal studies of rice genotypes with respect to agro meteorological indices
Author(s): Preeti Kumari, Nilanjaya and Chandan Kumar
Abstract: An investigation was carried out with thirty two genotypes of rice under direct seeded condition. D2 statistics were used to explore and access the nature and magnitude of genetic divergence on the basis of grain yield and other important traits. The Mahalanobis D2 analysis grouped 32 genotypes of rice into seven distinct clusters. Maximum numbers of 11 genotypes were present in cluster V and least of 1 genotype within cluster II & IV. The highest intra-cluster distance was observed in cluster VII with highest mean value for most of the traits along with better individual performance of genotypes indicating greater genetic divergence among the genotypes belonging to this cluster. Maximum inter-cluster distance was recorded between clusters III and VI followed by clusters VI and VII. Cluster VII showed highest mean performance for most of the yield attributing traits therefore, selection of parents based on these traits are highest contributor towards the genetic divergence explored in present study.
Pages: 560-565 | 422 Views 56 Downloads
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How to cite this article:
Preeti Kumari, Nilanjaya and Chandan Kumar. Photo thermal studies of rice genotypes with respect to agro meteorological indices. International Journal of Chemical Studies. 2019; 7(6): 560-565.
