Cereal Research Communications

, Volume 42, Issue 3, pp 474–483 | Cite as

Path and Association Analysis and Stress Indices for Salinity Tolerance Traits in Promising Rice (Oryza sativa L.) Genotypes

  • S. L. KrishnamurthyEmail author
  • S. K. Sharma
  • R. K. Gautam
  • V. Kumar


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.


rice salinity correlation path coefficient SSI and STI 


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© Akadémiai Kiadó, Budapest 2013

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • S. L. Krishnamurthy
    • 1
    Email author
  • S. K. Sharma
    • 1
  • R. K. Gautam
    • 2
  • V. Kumar
    • 1
  1. 1.Central Soil Salinity Research InstituteKarnalIndia
  2. 2.Central Agricultural Research Institute for Port BlairPort Blair, Andaman and Nicobar IslandsIndia

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