tailieunhanh - Assessment of genetic diversity among 125 cultivars of chickpea (Cicer arietinum L.) of Indian origin using ISSR markers

Utilization of diverse germplasm is required to enhance the genetic variability of cultivars. Opportunity to generate favorable gene combinations can be provided by genetically diverse lines; thus, the probability of creating unique cultivars increases. | Turkish Journal of Botany Turk J Bot (2015) 39: 218-226 © TÜBİTAK doi: Research Article Assessment of genetic diversity among 125 cultivars of chickpea (Cicer arietinum L.) of Indian origin using ISSR markers 1,2 1 1 3 1 Himanshu AGGARWAL , Alka RAO , Anil KUMAR , Jasbir SINGH , Jogender Singh RANA , 4 1, Pradeep Kumar NAIK , Vinod CHHOKAR * 1 Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, India 2 Department of Biotechnology, Maharishi Markandeshwar University, Mullana, Haryana, India 3 Department of Biochemistry, Kurukshetra University, Kurukshetra, Haryana, India 4 Department of Biotechnology, Guru Ghasidas Central University, Koni Bilaspur, Chhattisgarh, India Received: Accepted: Published Online: Printed: Abstract: Utilization of diverse germplasm is required to enhance the genetic variability of cultivars. Opportunity to generate favorable gene combinations can be provided by genetically diverse lines; thus, the probability of creating unique cultivars increases. Genetic diversity analysis of chickpea can give important indications for understanding species relationships and may help in developing and planning breeding programs. Thus, the present investigation was performed to assess the genetic diversity in 125 cultivars of chickpea of Indian origin, among which 42 are resistant and 13 are susceptible to Fusarium wilt and Ascochyta blight. Out of 40 ISSR primers, 26 primers generated 213 polymorphic loci. On average, 9 loci per marker were found; among these, 8 were polymorphic. The average polymorphic information content was , ranging from to . The resolving power of the ISSR primers varied from to . Cluster analysis using the UPGMA algorithm showed 3 major clusters, supported by STRUCTURE analysis. Genetic diversity analysis in terms of Shannon’s index and .