Path and Association Analysis and Stress Indices for Salinity Tolerance Traits in Promising Rice (Oryza sativa L.) Genotypes
Effects of salinity on correlation, path and stress indices, yield and its components were studied in a set of 34 promising rice genotypes collected from various national and international organizations. These genotypes were evaluated in a randomized complete block design with three replications during the wet seasons (kharif) of 2009 and 2010 in normal (ECiw ∼ 1.2 dS/m) and salinity stress (ECiw ∼ 10 dS/m) environments in micro plots at Central Soil Salinity Research Institute (CSSRI), Karnal, India. Grain yield per plant showed positive significant association with plant height, total tillers, productive tillers, panicle length, and biological yield per plant and harvest index under normal environment, whereas grain yield showed positive significant association with biological yield and harvest index under salinity stress. These results clearly indicate that selection of high yielding genotypes would be entirely different under normal and saline environments. The stress susceptibility index (SSI) values for grain yield ranged from 0.35 (HKR 127) to 1.55 (TR-2000-008), whereas the stress tolerance index (STI) values for grain yield ranged from 0.07 (PR 118) to 1.09 (HKR 120). The genotypes HKR 120, HKR 47 and CSR-RIL-197 exhibited higher values of stress tolerance index (STI) in salinity. Under salinity, negative and significant association was shown by SSI and grain yield in contrast to positive and significant association shown by STI and grain yield. These associations could be useful in identifying salt tolerant and sensitive high yielding genotypes. The stress susceptible and stress tolerance indices suggest that the genotypes developed for salinity tolerance could exhibit higher tolerance, adaptability and suitability. Harvest index and biological yield traits emerged as the ideal traits for improvement through selection and could be used to increase the rice productivity under saline stress environments.
Keywordsrice salinity correlation path coefficient SSI and STI
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- Anbanandan, V., Saravanan, K., Sabesan, T. 2009. Variability, heritability and genetic advance in rice (Oryza sativa L.). Int. J. Plant Sci. 3:61–63.Google Scholar
- Arshadullah, M., Rasheed, M., Zaidi, S.A.R. 2011. Salt tolerance of different rice cultivars for their salt tolerance under salt-affected soils. Int. Res. J. Agric. Sci. Soil Sci. 1:183–184.Google Scholar
- Aslam, M., Qureshi, R.H., Mahmood, I.A., Perveen, S. 1993. Determination of critical toxicity levels of sodium and chloride in rice. Pak. J. Soil Sci. 8:13–18.Google Scholar
- Chakraborty, S., Das, P.K., Guha, B., Kalyan, K.S., Barman, B. 2010. Quantitative genetic analysis for yield and yield components in boro rice (Oryza sativa L.). Nat. Sci. Biol. 2:117–120.Google Scholar
- Fernandez, C.G.J. 1993. Effective selection criteria for assessing plant stress tolerance. In: Kuo, C.G. (ed.), Adaptation of Food Crops to Temperature and Water Stress. AVRDC, Shanhua, Taiwan, pp. 257–270.Google Scholar
- Ganapathy, S., Ganesh, S.K., Vivekanandan, P., Chandra Babu, R., Shanmugasundaram, P. 2006. Genetic variability and association analysis for drought tolerance, yield and its contributing traits in rice. In: Plant Breeding in Post Genomics Era. Second National Plant Breeding Congress. TNAU, Coimbatore, India, 1–3 March, p. 111.Google Scholar
- Gomez, K.A., Gomez, A.A. 1983. Statistical Procedures for Agricultural Research. John Wiley & Sons, New York, USA, 680 pp.Google Scholar
- Jayasudha, S., Sharma, D. 2010. Genetic parameters of variability, correlation and path-coefficient for grain yield and physiological traits in rice (Oryza sativa L.) under shallow lowland situation. Electronic J. Plant Breed. 1:33–38.Google Scholar
- Mishra, B. 2005. More Crop per Drop. Survey of Indian Agriculture. The Hindu Kasthuri Publishers, Chennai, India, pp. 41–46.Google Scholar
- Mohammadi-Nejad, G., Arzani, A., Rezai, A.M., Singh, R.K., Gregorio, G.B. 2008. Assessment of rice genotypes for salt tolerance using microsatellite markers associated with the saltol QTL. African J. Biotech. 7:730–736.Google Scholar
- Panse, V.G., Sukhatme, P.V. 1967. Statistical Methods for Agricultural Workers. ICAR, New Delhi, India.Google Scholar
- Raju, C.H.S., Rao, M.V.B., Sudarshanan, A. 2003. Association of physiological growth parameters in rice hybrids. Madras Agric. J. 90:621–624.Google Scholar
- Sabesan, T., Suresh, R., Saravanan, K. 2009. Genetic variability and correlation for yield and grain quality characters of rice grown in coastal saline low land of Tamilnadu. Electronic J. Plant Breed. 1:56–59.Google Scholar
- Sajjad, M.S. 1990. Correlations and path coefficient analysis of rice under controlled saline environment. Pak. J. Agric. Res. 11:164–168.Google Scholar
- Sharma, S.K. 2010. Salt tolerant crop varieties developed at CSSRI Karnal, India: A success story. https://doi.org/www.PlantStress.com, 14 pp
- White, J.W., Singh, S.P. 1991. Breeding for adaptation to drought. In: van Schoonhoven, A., Voysest, O. (eds), Common Beans: Research for Crop Improvement. CAB Int. Wallingford, U.K. and CIAT, Cali, Colombia, pp. 501–560.Google Scholar
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