Abstract
A population of 171 F3 genotypes derived from a cross between CSR10 (salt tolerant, indica) and Taraori Basmati (HBC19) was evaluated for various salt-tolerance attributes at vegetative stage using a hydroponic culture system. Substantial variation was observed in F3 population for relative growth rate (range 0.065–0.187), Na-K ratio (0.023–0.376) and visual injury symptoms (score 1–9). The mean individual score of CSR10 × HBC19 F3 plants ranged from 1.7 to 9.0 with mean value of 5.07. Seven of the F3 plants showed transgressive segregation for salt tolerance. F3 individuals at both extremes of the response distribution were selected and genotyped using 30 SSR markers displaying polymorphism between the two parental genotypes. As many as 18/30 SSR markers showed distorted segregation ratios among the 30 selected salt-tolerant and salt-sensitive CSR10 × HBC19 F3 plants. Linear regression analysis showed significant association of three markers (RM162 mapped on chromosome 6, and RM209 and RM287 on chromosome 11) with relative growth rate and two markers (RM212 on chromosome 1 and RM206 on chromosome 11) with Na-K ratio explaining 31.3% and 25.6% of phenotypic variation, respectively.
This is a preview of subscription content, log in via an institution to check access.
References
Gregorio GB, Senadhira D, Mendoza RD, Manigbas NIL, Roxas JP & Ouerta CO, Field Crops Res, 76 (2002) 91.
Abrol IP & Sehgal J, In Soil management for sustainable agriculture in dryland areas, (TD Biswas, G Narayanswamy, JSP Yadav, G Dev, JC Katyal, PS Sidhu, Editors.), Bulletin No. 16, Indian Society of Soil Science, New Delhi, India (1994) pp107–118.
Khush GS & dela Cruz N, In Speciality rices of the world: Breeding, production and marketing (R Duffy, Editor), Science Pub, Inc, Enfield, USA (2002) pp 15–18.
Singh RK, Gregorio GB & Jain RK, Physiol Mol Biol Plants, 13 (2007) 87.
Foolad MR, Soltz T, Dervinis C, Rodriguez RL & Jones RA, Mol Breed, 3 (1997) 269.
Singh R, Singh AK, Sharma TR, Singh A & Singh NK, J Plant Biochem Biotechnol, 16 (2007) 75.
Jain S, Jain RK & McCouch SR, Theor Appl Genet, 109 (2004) 965.
Yadav S, Rana P, Saini N, Jain S & Jain RK, J Plant Biochem Biotechnol, 17 (2008) 1.
Yoshida S, Forno DA, Cock JH & Gomez KA, Laboratory manual for physiological studies of rice, 3rd Edition, International Rice Research Institute, Manila, The Philippines (1976).
Salim M & Pitman MG, Aust J Plant Physiol, 10 (1983) 395.
IRRI, Standard evaluation system for rice, 3rd edition, IRRI, Philippines (1998).
Snedecor GW & Cochran WG, Statistical methods. 7th edition. Oxford University Press and IBH, New Delhi (1980).
Saghai-Maroof MA, Soliman KM, Jorgensen RA & Allard RW, Proc Natl Acad Sci, USA, 81 (1984) 8014.
Saini N, Jain N, Jain S & Jain RK, Euphytica, 140 (2004) 133.
Gregorio GB & Senadhira D, Theor Appl Genet, 86 (1993) 333.
Lang NT, Yanagihara S, Buu BC, SABRAO J Breed. Genet, 33 (2001) 11.
Zhang Q, Hua J, Xiong L & Xu C, In Rice genetics IV (GS Khush, DS Brar, B Hardy, Editors), IRRI, Los Baños, Philippines, Science Publishers, Inc., New Delhi, India (2001) pp173–178.
Levinson G & Gutman GA, Mol Biol Evol, 4 (1987)203.
Bonilla P, Dvorak J, Mackill D, Deal K & Gregorio G, Philipp Agric Sci, 85 (2002) 68.
Lin HX, Zhu MZ, Yano M, Gao JP, Liang ZW, Su WA, Hu XH, Ren ZH & Chao DY, Theor Appl Genet, 108 (2004) 253.
Prasad SR, Bagali SH & Shashidhar, Curr Sci, 78(2) (2000) 162.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Rana, P., Jain, S., Yadav, S. et al. Identification of SSR Markers for Salt-tolerance in Rice Variety CSR10 by Selective Genotyping. J. Plant Biochem. Biotechnol. 18, 87–91 (2009). https://doi.org/10.1007/BF03263301
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/BF03263301