Molecular and phenotypic diversity among chickpea (Cicer arietinum) genotypes as a function of drought tolerance
Supriya Sachdeva A , C. Bharadwaj A F , Vinay Sharma B , B. S. Patil A , K. R. Soren C , Manish Roorkiwal D , Rajeev Varshney D and K. V. Bhat E
+ Author Affiliations
- Author Affiliations
A Division of Genetics, Indian Agricultural Research Institute, Pusa, New Delhi – 110 012, India.
B Department of Bioscience & Biotechnology, Banasthali University, P.O. Banasthali Vidyapith, Banasthali – 304 022, Rajasthan, India.
C Indian Institute of Pulses Research, Kanpur – 208 024, Uttar Pradesh, India.
D International Crops Research Institute for Semiarid Tropics, Patancheru, Hyderabad – 502 324, Telangana, India.
E Division of Genomic Resources, National Bureau of Plant Genetic Resources (NBPGR), Pusa Campus, New Delhi – 110 012, India.
F Corresponding author. Email: drchbharadwaj@gmail.com
Crop and Pasture Science 69(2) 142-153 https://doi.org/10.1071/CP17284
Submitted: 5 August 2017 Accepted: 22 November 2017 Published: 2 February 2018
Abstract
Diversity as a function of drought tolerance may be identified by morphological characters, and molecular tools used to find the most divergent genotypes for breeding programs for drought tolerance in future. The narrow genetic base of chickpea can be circumvented by using diverse lines in breeding programs. Forty chickpea genotypes were studied for their morphological and molecular diversity with an objective of identifying the most diverse drought-tolerant lines. In total, 90 alleles were detected with 3.6 alleles per locus. Polymorphism information content (PIC) values ranged from 0.155 to 0.782 with an average value of 0.4374 per locus. The size of amplified products ranged from 160 bp to 390 bp. Primer TA136 with eight alleles showed the highest PIC value of 0.7825, indicating its ability to differentiate the genotypes at molecular level. DARwin neighbour-joining tree analysis based on dissimilarity estimates was done for the molecular data and sequential agglomerative hierarchical non-overlapping (SAHN) grouping for the morphological data. It could clearly discriminate the tolerance and the sensitivity of genotypes. Two-dimensional principal coordinates analysis (PCoA) plot indicated good diversity for drought tolerance. The genetic similarity coefficients ranged from 0.115 (genotypes BGD72 to ICCV 5308) to 0.828 (genotypes ICCV 10316 to ICCV 92337).
Additional keywords: genetic diversity, membrane stability index, molecular markers, relative water content.
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