Genetic Divergence Studies in Black Gram (Vigna Mungo (L.) Hepper)
Journal Title: International Journal of Trend in Scientific Research and Development - Year 2018, Vol 2, Issue 5
Abstract
The experiment was conducted during 2017-2018 to estimate the genetic divergence, using 120 black gram genotypes for nine quantitative characters. Among the nineteen clusters, cluster I had maximum number of genotypes (62) followed by the cluster III (16 genotypes), cluster XIV (11 genotypes), cluster (9 genotypes). Clusters XV and XVII (4 genotypes) and cluster XVIII (2 genotypes). The clusters viz., II, IV, V, VI, VII, VIII, IX, X, XII, XIII, XVI and XIX had one genotype each. The cluster XVII exhibited the maximum intra cluster distance. The maximum inter cluster distance was recorded between cluster XIX and IV. The maximum genetic divergence per cent was contributed by the trait number of clusters per plant. The cluster II and VI had the lowest mean value for days to 50% flowering and the cluster VII had the highest mean value for the trait and number of pods per plant. L. Priya | M. Arumugam Pillai | D. Shoba | N. Aananthi"Genetic Divergence Studies in Black Gram (Vigna Mungo (L.) Hepper)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd16958.pdf http://www.ijtsrd.com/biological-science/allied-sciences/16958/genetic-divergence-studies-in-black-gram-vigna-mungo-l-hepper/l-priya
Image Encoding to Short Text Message
Sending an image using Short Message SM is the purpose of this article. An image contains a large information and existing base character such us American Standard Code for Information Interchange ASCII are not enough fo...
Image Processing in MATLAB 9.3
In this paper we introduce how to handle different kinds of image formats in MATLAB 9.3 by using Matlab Workspace & its Various Commands. Also we illustrated example of processing the images. Shete S. G. | Ghadge Nagnath...
Autonomous Driving using Deep Reinforcement Learning in Urban Environment
Deep Reinforcement Learning has led us to newer possibilities in solving complex control and navigation related tasks. The paper presents Deep Reinforcement Learning autonomous navigation and obstacle avoidance of self d...
The Differential Transform Method for (n+1) - dimensional Equal Width Wave equation with damping term
We have employed the differential transform method to solve the (n + 1)-dimensional Equal Width wave equations with damping term as. T. Siva Subramania Raja | K. Sathya | R. Asokan | M. Janani"The Differential Transform...
Preparing Ecommerce Website to Handle High Traffic on Sale Events
It is mandatory for every business to have website to be successful. Selling on ecommerce websites has been there for long but the task to keep it running to meet expectations of business and traffic is always a challeng...