2. Institutional Publications

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Author: search.filters.author.Jacob Thomas, M

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    Relative efficiency of plots and blocks for field experiments in brinjal
    (Kerala Agricultural University, 1985) Jacob Thomas, M; George, K C; Hariharan, V
    For field experiments with brinjal, taking the efficiency of the smallest plot as unity, RE values of various plots were computed. The efficiency was the highest for the smallest plot. There is a genera! decrease of block efficiency with increasing block size. More compact block of the same size shows higher efficiency. Blocks of identical size and shape, but consisting of long plots also show a some what higher efficiency than bloks with short plots of the same size. Arrangement of plots in more than one row decreased block efficiency and the effect is more pronounced with long plots. The number of replication required for a given level of accuracy decreased with an increase in plot size and increasing the number of replication rather than plot size was found more advantageous for a fixed experimental area.
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    Optimum size and shape of plots for field experiments in brinjal
    (Kerala Agricultural University, 1986) Hariharan, V; Jacob Thomas, M; George, K C
    A uniformity trial in brinjal (Solatium melongena L). was conducted at main campus of the Kerala Agricultural University, Vellanikkara, during the third crop season, 1980. Observations on yield, number of fruits and primary branches were recorded. The variability among plots of different sizes and shapes was determined by calculating coefficient of variation (CV). It was observed that an increase in the plot size in either direction decreased the CV. But decrease was more rapid along N-S direction. Long and narrow plots showed lower CV than approximately square plots. The observed relation between plot sizes and variance was in conformity with Smith's variance law. At larger plot sizes the regression line showed a tendency to come down although negligible. The optimum plot size observed through smith's method and maximum curvature method was almost same. From the above consideration a plot size of 8.64 m2 (9.6 m X 0.9 m) was found to be most advisable for conducting most of the field experiments in brinjal.
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    Optimum size and shape of plots under colocasia (Colocasia esculent A L.)
    (Kerala Agricultural University, 1987) Lizy, M J; George, K C; Jacob Thomas, M
    A uniformity trial on colocasia was conducted at the experimental field of the College of Agriculture, Vellayani, Kerala during April-September, 1984. At the time of harvest the observations regarding the yield characteristics were recorded. From the study of the size and shape of the plot it was found that an increase in plot size in either direction decreased the coefficient of variation. For a given size of the plot, the best shape was that having more number of rows than columns. The heterogeneity coefficient b in the Smith's equation for yield was 0.6057. The optimum plot size found out by maximum curvature method and by modified maximum curvature method was approximately 3 m2. When the cost of experimentation was considered, a plot size of 1.636 m2 was found optimum for conducting experiments with colocasia.
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    Comparison of different statistical techniques for assessing soil heterogeneity
    (Kerala Agricultural University, 1988) Lizy, M J; George, K C; Jacob Thomas, M
    A uniformity trial on colocasia was conducted at the College of Agriculture, Vellayani, Kerala Agricultural University, during kharif 1984. Biometrical observations on 16 characters as indicated in Tables 1,2 and 3 were taken from all plants. The nature of soil heterogeneity was studied from the productivity contour map. The map revealed that the field could be considered heterogeneous in nature. Based on the mean square analysis, we could not predict any general trend of fertilty variation existing in the field. The low serial correlation coefficients established that fertile areas occur in patches. The'b' value was found higher for yield than for other characters. While comparing all the four methods we could assume that the method of serial correlation, is more reliable than all other methods.