Screening groundnut genotypes using TIR (Temperature Induction Response) technique for thermotolerance

    Rekha Rani, K and Latha, P and Sujatha, K and Vasanthi, R P and Janila, P and Usha, R (2017) Screening groundnut genotypes using TIR (Temperature Induction Response) technique for thermotolerance. In: InterDrought-V, February 21-25, 2017, Hyderabad, India.

    [img]
    Preview
    		 PDF (Poster Abstract) - Published Version
    Download (108kB) | Preview

    Abstract

    Heat is one of the major abiotic stresses that adversely affect crop production worldwide at different stages of development. Groundnut is a major crop cultivated in tropical and sub-tropical regions where high temperature stress is a serious constraint for its production. In the present study, temperature induction response (TIR) was conducted for screening the tolerant genotypes, where the seedlings were exposed to sublethal temperature from 34ºC-54ºC for 4 hours 30 minutes followed by lethal temperature at 58ºC for 3 hours. From the 100 diverse genotypes screened, 24 showed tolerance to high temperature with mean percent seedling survival of 92%, 30 showed moderate tolerance and 46 were identified as temperature susceptible compared with checks (100% survival). Results suggested that TIR is used to identify stable thermotolerant genotypes and could be explored as donor source useful in breeding programmes. Further work will be focused on the physiological and molecular basis of thermotolerance in selected tolerant and susceptible genotypes for the identification of heat stress tolerant genes which could be useful for engineering plants with improved heat tolerance.

    Item Type: Conference or Workshop Item (Paper)
    Divisions: Research Program : Asia
    CRP: UNSPECIFIED
    Uncontrolled Keywords: Temperature Induction Response, Groundnut genotypes, Heat stress tolerance
    Subjects: Others > Abiotic Stress
    Mandate crops > Groundnut
    Others > Genetics and Genomics
    Depositing User: Mr Ramesh K
    Date Deposited: 12 Jun 2018 11:07
    Last Modified: 12 Jun 2018 11:07
    URI: http://oar.icrisat.org/id/eprint/10713
    Acknowledgement: UNSPECIFIED
    Links:
    View Statistics

    Actions (login required)

    View Item View Item
    OAR@ICRISAT is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.