Genetic Management of Virus Diseases in Peanut

    Nigam, S N and Prasada Rao, R D V J and Bhatnagar-Mathur, P and Sharma, K K (2012) Genetic Management of Virus Diseases in Peanut. In: Plant Breeding Reviews. Wiley & Sons, Inc, pp. 293-356. ISBN 9781118358566

    [img] PDF - Published Version
    Restricted to ICRISAT users only
    Download (2MB) | Request a copy

    Abstract

    Peanut, also known as groundnut (Arachis hypogaea L.) is a major oilseed crop in the world. About 31 viruses representing 14 genera are reported to naturally infe.ct peanut in different parts of the world, although only a few of these are of economic importance. These include groundnutrosette disease in Africa, tomato spotted wilt-disease in the United States, peanut bud necrosis disease in south Asia, and peanut stripe virus disease in east and southeast Asia. Cucumber mosaic virus disease in China and Argentina and peanut stem necrosis disease in certain -pockets in southern India are also economically important. Host plant resistance provides the most effective and economic option to manage virus diseases. However, for many virus diseases, effective resistance gene(s) in cultivated peanut have not been identified. With a few exceptions, the virus resistance breeding work has received little attention in peanut improvement programs. Transgenic resistance offers another option in virus resistance breeding. This review focuses on the status of genetic resistance to various economically important groundnut viruses and'use of transgenic-technology for the improvement of virus resistance.

    Item Type: Book Section
    Divisions: UNSPECIFIED
    CRP: UNSPECIFIED
    Uncontrolled Keywords: genetic management of virus diseases in peanut; screening for virus resistance, greenhouse and field screening; mechanisms of host response to virus infection; breeding for resistance to virus diseases; peanut bud/stem necrosis, tomato spotted wilt, cucumber mosaic
    Subjects: Mandate crops > Groundnut
    Others > Genetics and Genomics
    Depositing User: Mr Sanat Kumar Behera
    Date Deposited: 25 Oct 2012 14:37
    Last Modified: 25 Oct 2012 14:37
    URI: http://oar.icrisat.org/id/eprint/6197
    Acknowledgement: UNSPECIFIED
    Links:
    View Statistics

    Actions (login required)

    View Item View Item
    Altmetric
    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.