Commenced in January 2007
Paper Count: 31242
Cluster Algorithm for Genetic Diversity
Abstract:With the hardware technology advancing, the cost of storing is decreasing. Thus there is an urgent need for new techniques and tools that can intelligently and automatically assist us in transferring this data into useful knowledge. Different techniques of data mining are developed which are helpful for handling these large size databases . Data mining is also finding its role in the field of biotechnology. Pedigree means the associated ancestry of a crop variety. Genetic diversity is the variation in the genetic composition of individuals within or among species. Genetic diversity depends upon the pedigree information of the varieties. Parents at lower hierarchic levels have more weightage for predicting genetic diversity as compared to the upper hierarchic levels. The weightage decreases as the level increases. For crossbreeding, the two varieties should be more and more genetically diverse so as to incorporate the useful characters of the two varieties in the newly developed variety. This paper discusses the searching and analyzing of different possible pairs of varieties selected on the basis of morphological characters, Climatic conditions and Nutrients so as to obtain the most optimal pair that can produce the required crossbreed variety. An algorithm was developed to determine the genetic diversity between the selected wheat varieties. Cluster analysis technique is used for retrieving the results.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1082129Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1512
 Dias, Picoli, Rocha and Alfenas "A priori choice of hybrid parents in plants", Genetics and Molecular Research. Vol. 12, 2004, pp 116-130.
 Fan, Jianhua and Li, Deyi "Overview of data mining and knowledge discovery" Journal of Computer Science and Technology. 13 (4), 1998, pp 348-368.
 Fayyad, Usama; Stolorz and Paul "Data mining and KDD: Promise and challenges" Generation Computer Systems. 13 (2-3), 1997, pp. 99-115
 Jagdeep Singh "Development of Biotechnology Information System using a Web Server" M.Tech Thesis PAU, Ludhiana, Punjab, India, 2002, pp 1-40.
 Manpreet Singh "Development of Data Mining model for bioinformatics system" M.Tech Thesis PAU, Ludhiana, Punjab, India, 2003, pp 1-30.
 Raghavan, Vijay V.; Deogun, Jitender S. and Server, Hary "Introduction to Data Mining" Journal of the American Society for Information Science 49 (5), 1998, pp 397-402.