Chandrawati, D., Singh, N., Kumar, R., Kumar, S., Ranade, S. A., Kumar Yadav, H. (2017). Agro-Morphological Traits and Microsatellite Markers Based Genetic Diversity in Indian Genotypes of Linseed (Linum usitatissimum L.). , 19(3), 707-718.
D. Chandrawati; N. Singh; R. Kumar; S. Kumar; S. A. Ranade; H. Kumar Yadav. "Agro-Morphological Traits and Microsatellite Markers Based Genetic Diversity in Indian Genotypes of Linseed (Linum usitatissimum L.)". , 19, 3, 2017, 707-718.
Chandrawati, D., Singh, N., Kumar, R., Kumar, S., Ranade, S. A., Kumar Yadav, H. (2017). 'Agro-Morphological Traits and Microsatellite Markers Based Genetic Diversity in Indian Genotypes of Linseed (Linum usitatissimum L.)', , 19(3), pp. 707-718.
Chandrawati, D., Singh, N., Kumar, R., Kumar, S., Ranade, S. A., Kumar Yadav, H. Agro-Morphological Traits and Microsatellite Markers Based Genetic Diversity in Indian Genotypes of Linseed (Linum usitatissimum L.). , 2017; 19(3): 707-718.

Agro-Morphological Traits and Microsatellite Markers Based Genetic Diversity in Indian Genotypes of Linseed (Linum usitatissimum L.)

Journal of Agricultural Science and Technology
Article 17, Volume 19, Issue 3, 2017, Pages 707-718    PDF (469.98 K)
Authors
D. Chandrawati1, 2; N. Singh1; R. Kumar3; S. Kumar3; S. A. Ranade1, 2; H. Kumar Yadav* 1, 2
1CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226001, India.
2Academy of Scientific and Innovative Research, New Delhi, India.
3Uttar Pradesh Council of Agricultural Research (UPCAR), Vibhuti Khand, Gomatinagar, Lucknow-226010, India.
Abstract
Linseed is an important oilseed and fibre crop predominantly grown in India. The aim of the present research was to evaluate genetic diversity and patterns of relationships among the 58 genotypes through 10 morphological traits and 12 polymorphic microsatellite (SSR) markers. Euclidean analysis of agro-morphological traits grouped the 58 genotypes into four clusters of which cluster I was the largest with 20 accessions while clusters II and IV were most genetically diverse due to maximum inter-cluster distance. Principal component analysis revealed three traits accounted for more than 86% of the total variation. A total of 41 alleles were amplified with 12 SSRs having an average of 5.71 alleles per primer locus. The Polymorphic Information Content (PIC) varied between 0.18 to 0.78. Based on Jaccard's similarity coefficient, the genetic distance varied from 0.07 to 0.89 with an average of 0.54±0.10. The genotypes RKY-14, KL-213, LC-185 and Kartika were found to be the most divergent among all the genotypes studied on the basis of genetic distance. The most diverse genotypes identified in this study can be used in breeding programs to broaden the genetic base of the linseed germplasm.
Keywords
diversity; Linseed; Microsatellite markers; Principal component analysis
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