Statistical Techniques For Experiments With Coconut
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Date
1988
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Abstract
The statistical techniques followed in experiments with annual crops and perennial crops are essentially the same. However, while experimenting with perennial crops, the problems faced with are somewhat different from those with annual crops. Difficulties arise because of the perennial nature of the crops, long duration of experiments, large size of the plots, lack of uniformity in the experimental material, differences in the pre-bearing period coupled with long bearing period, time lag between application of treatments and manifestation of their effects etc. Even among perennial crops, coconut gives yield throughout the year unlike in many other crops. Recent studies have shown that the annual yield data of coconuts followed a skewed distribution, thus necessitating suitable transformations, to satisfy some of the assumptions involved in the statistical analysis of data. Conclusions drawn from experiments can also differ, depending on the method of compilation of annual yield data. Year to year variation is more pronounced in the case of calender year tabulation, as compared to agricultural years. Also achieving greater homogeneity between plots, within a block, by creating greater heterogeneity within plot has been found to be the best design approach. In this paper an attempt has been made to review the work done in India and abroad in estimating the optimum plot size for field experiments, pooled analysis of data relating to long term experiments, efficiency of covariance analysis, yield forecasting methodologies, regularity of bearings, indexing the severity of disease symptoms, etc.
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In: Abstracts, National Symposium on Coconut Breeding andManagement, KAU.Vellanikara, Trichur, 23-26 Nov. 1988 p-39-40