Statistical Analysis Of Intercropping Data Using A Correlated Error Structure
1988
Singh, M | Gilliver, B
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.
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This bibliographic record has been provided by International Crops Research Institute for the Semi-Arid Tropics