Coefficient of Parentage for Crop Hybridization

Hybridization refers to the crossing breeding of two plants. Coefficient of Parentage (COP) is used by the plant breeders to determine the genetic diversity across various varieties so as to incorporate the useful characters of the two varieties to develop a new crop variety with particular useful characters. Genetic Diversity is the prerequisite for any cultivar development program. Genetic Diversity depends upon the pedigree information of the varieties based on particular levels. Pedigree refers to the parents of a particular variety at various levels. This paper discusses the searching and analyses 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 coefficient of parentage (COP) between the selected wheat varieties. Dummy values were used wherever actual data was not available.

Authors:

• Manpreet Singh
• Parvinder Singh Sandhu
• Basant Raj Singh

Keywords:

• Coefficient of Parentage
• Morphological characters
• Pedigree
• Genetic Diversity.

References:

[1] Chen, Zhengxin and Zhu, Quiming, "Query construction for user-guided
knowledge discovery in databases", Information Sciences 109 (1-4),
1998, pp. 49-64.
[2] Fan, Jianhua and Li, Deyi (1998) "Overview of data mining and
knowledge discovery", Journal of Computer Science and Technology.
13 (4), 1998, pp 348-368.
[3] H.K Grewal, Parvinder Singh and Manpreet Singh "A Bioinformatics
Approach to Genetic Diversity" IEEE International Conference held at
Balauchistan, Pakistan, 2006, pp.
[4] Jagdeep Singh (2002) "Development of Biotechnology Information
System using a Web Server", M.Tech Thesis PAU, Ludhiana, 2002, pp.
1-73.
[5] Lee, L.E.J.; Chin, P.; Mosser, D.D. (1998). Biotechnology and the
Internet. Biotechnology Advances 16 (5-6). pp 949-960.
[6] Manpreet Singh (2003) Development of Data Mining model for
bioinformatics system, M.Tech Thesis PAU, Ludhiana
[7] M.S. chen, J. Han, and P.S. yu "Data mining: an overview from a
database perspective", IEEE transaction on knowledge and data
engineering, 1996, pp. 866-883.
[8] Raghavan, V. Vijay, Deogun and S. Jitender "Introduction to Data
Mining" Journal of the American Society for Information Science 49 (5),
1998, pp. 397-402.
[9] Sanjay Soni, Zhaohui Tang and Jim Yang "Performance Study of
Microsoft Data Mining Algorithms" Microsoft White Paper pages 10,
2000.
[10] Stahl, Earl "Employing intelligent agents for knowledge discovery"
Proceedings - International Conference on Data Engineering 1998.
IEEE Comp Soc, Los Alamitos, CA, USA, 1998, pp. 100-104.