International Journal of Agriculture, Environment and Biotechnology
  • Year: 2017
  • Volume: 10
  • Issue: 6

Microsatellite based Molecular Characterization and Genetic Diversity Analysis of Maize (Zea mays L.) Inbred Lines

  • Author:
  • Keyur A. Patel1, S.M. Khanorkar2, Azadchandra S. Damor3, Hitiksha K. Parmar4,
  • Total Page Count: 6
  • Page Number: 773 to 778

1Department of Genetics and Plant Breeding, B. A. College of Agriculture, Anand Agricultural University, Anand, Gujarat, India

2Main Maize Research Station, Anand Agricultural University, Godhra, Panchmahals, Gujarat, India

3College of Agriculture, Anand Agricultural University, Jabugam, Chhota Udepur, Gujarat, India

4College of Horticulture, Anand Agricultural University, Anand, Gujarat, India

*Corresponding author: hitiksha.parmar3010@gmail.com (ORCID ID: 0000-0003-3649-3540)

Online published on 5 April, 2018.

Abstract

Molecular characterization of the genotypes provides reliable information about the extent of genetic diversity which aids in the development of an appropriate breeding program. In the present study, a total of seventeen polymorphic SSR markers were used across eight maize inbreds for their characterization and discrimination. The number of alleles per locus ranged from 2 alleles (UMC-1657) to 8 alleles (UMC-1097), with an average of 4.47 alleles across 17 loci obtained in the study. The PIC value ranged from 0.46 (UMC-1657) to 0.86 (UMC-1097) with average of 0.68. The dendogram constructed using similarity coefficient values divided 8 genotypes in three divergent clusters.

DNA isolation from eight maize inbreds using modified CTAB method.

Eight maize inbreds were characterized at molecular level using SSR markers.

Less genetic resemblance was observed between some of the inbreds indicating better scope for getting more diverse segregants by hybridizing them.

Some of the SSR primer identified as potential markers to reveal genetic diversity among maize lines at molecular level.

Keywords

Maize, microsatellites, genetic diversity, inbred line, molecular fingerprinting