By Topic

A Bioinformatic Approach to Genetic Diversity

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
H. K. Grewal ; Dept. of CSE & I.T., Guru Nanak Dev. Eng. Coll., Punjab ; Parvinder Singh Sandhu ; Manpreet Singh

This paper deals with the various search and analysis techniques involving different possible pairs of varieties selected on the basis of morphological characters, climatic conditions and nutrients so as to obtain the optimal pair that can produce the required crossbreed variety. An algorithm has been developed to determine the genetic diversity between the selected wheat varieties. Data mining techniques have been used for retrieving the results. Dummy values have been assumed wherever actual data was not available. MATLAB has been deployed to demonstrate the results in a better visual perspective

Published in:

2006 International Conference on Emerging Technologies

Date of Conference:

13-14 Nov. 2006