This paper is published in Volume-4, Issue-1, 2018
Area
Biotechnology
Author
Richa Bharti, Neelam Chaudhary, Rubby Sandhu, S. K. Gupta, Manmohan Sharma
Org/Univ
Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu and Kashmir, India
Pub. Date
02 February, 2018
Paper ID
V4I1-1141
Publisher
Keywords
Oilseed, Polymorphism, DNA

Citationsacebook

IEEE
Richa Bharti, Neelam Chaudhary, Rubby Sandhu, S. K. Gupta, Manmohan Sharma. Molecular Characterization of Candidate Gene in Glucosinolate and Erucic Acid using SSR Markers, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Richa Bharti, Neelam Chaudhary, Rubby Sandhu, S. K. Gupta, Manmohan Sharma (2018). Molecular Characterization of Candidate Gene in Glucosinolate and Erucic Acid using SSR Markers. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.

MLA
Richa Bharti, Neelam Chaudhary, Rubby Sandhu, S. K. Gupta, Manmohan Sharma. "Molecular Characterization of Candidate Gene in Glucosinolate and Erucic Acid using SSR Markers." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.

Abstract

Indian mustard is the second most important oil seed crops of India, next to groundnut sharing 27.8% in the India’s oilseed economy. The improved mustard seeds contain 39-44% oil. Oil quality is determined by fatty acid profile, whereas, level of erucic acid predicts the quality of seed oil.  Breeding of oil seed has evoked a strong bottleneck selection towards double-low (00) seed quality with zero euroic acid and low seed glucosinolate content. DNA based molecular markers are important tools in breeding programmes for crop improvement. The main role of these makers to detected the polymorphism. The experimental material comprised 71 genotypes including parents, half diallel crosses and simplified triple test crosses for study. In molecular characterization of erucic acid and glucosinolate using 4 SSR markers was clustered into three groups. Molecular analysis was done using four markers and a total of 56 amplified bands were obtained, out of which 17 were polymorphic. All the genotypes were clustered in three groups by using DARwin software. Cluster I had seven genotypes viz., RSPR-01, PM-21, PM-22, RB-50, Urvashi, Nov. Gold and Pusa-Bold followed by cluster II (five genotypes viz., RSPR-03, Varuna, Pusa-Karishma, RL-1359 and Kranti  and cluster III (two genotypes viz., PM-24 and NRCDR-2).