Statistical Analysis Of Intercropping Data Using A Correlated Error Structure

    Singh, M and Gilliver, B (1988) Statistical Analysis Of Intercropping Data Using A Correlated Error Structure. In: Proceedings of the 44th session of the International Statistical Institute, 1983, Madrid.

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    Abstract

    Intercropping is an important farming system, especially in tropical regions. A statistical model with competition coefficients and correlated error structure is suggested for the analysis of data from intercropping experiments involving two crop species. Data from an intercropping experiment with pearl millet and sorghum genotypes are used to illustrate the technique.

    Item Type: Conference or Workshop Item (Paper)
    Divisions: UNSPECIFIED
    CRP: UNSPECIFIED
    Subjects: Others > Agriculture-Farming, Production, Technology, Economics
    Depositing User: Library ICRISAT
    Date Deposited: 27 Dec 2011 06:43
    Last Modified: 27 Dec 2011 06:43
    URI: http://oar.icrisat.org/id/eprint/5148
    Acknowledgement: UNSPECIFIED
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