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Analysis of Intercrop Experiments in Dryland Agriculture

  • C. K. Ramanatha Chetty (a1) and M. Narayana Reddy (a1)
Summary

Objectives of different intercrop experiments need to be kept in view while analysing the data from them. There is no single straightforward way of analysing the data and certain situations require innovative approaches. Types of situations that are encountered in dryland agricultural research are exemplified and methods of meaningful analysis and interpretation of data from them are indicated here. Agronomically-sound meanings are imputed for different ways of calculating LER. Use of the concept ‘Staple Land Equivalent Ratio’ for assessing intercrop systems in particular situations is illustrated.

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References
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Gilliver, B. & Pearce, S. C. (1983). A graphical assessment of data from intercropping factorial experiments. Experimental Agriculture 19:2331.
Mead, R. & Riley, J. (1981). A review of statistical ideas relevant to intercropping research. The Journal of the Royal Statistical Society. Series A 144:462509.
Mead, R. & Willey, R. W. (1980). The concept of a ‘Land Equivalent Ratio’ and advantages in yields from intercropping. Experimental Agriculture 16:217228.
Oyejola, B. A. & Mead, R. (1982). Statistical assessment of different ways of calculating Land Equivalent Ratios (LER). Experimental Agriculture 18:125138.
Pearce, S. C. & Gilliver, B. (1978). The statistical analysis of data from intercropping experiments. Journal of Agricultural Science, Cambridge 91:625632.
Pearce, S. C. & Gilliver, B. (1979). Graphical assessment of intercropping methods. Journal of Agricultural Science, Cambridge 93:5158.
Willey, R. W. & Osiru, D. S. O. (1972). Studies on mixtures of maize and beans (Phaseolus vulgaris) with particular reference to plant population. Journal of Agricultural Science, Cambridge 79:519529.
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Experimental Agriculture
  • ISSN: 0014-4797
  • EISSN: 1469-4441
  • URL: /core/journals/experimental-agriculture
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