PLOT SIZE STUDY IN BIDI TOBACCO (NICOTIANA TABACUM L.)
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Date
1981
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AAU, Anand
Abstract
The most important factor having direct impact on the efficiency of the field experimentation is the plot size. Several workers have determined optimum plot size in many crops. But such information is not available with regard to bidi tobacco. The present study, therefore, was undertaken to investigate optimum plot size as well as shape for field experimentation on bidi tobacco at the Bidi tobaceo Research Station, Gujarat Agricultural University, Anand Campus, Anand during the year 1980-81, The information on leaf length, leaf width and yield of 1600 plants was collected and subjected to statistical analysis. Individual plant was taken as basic unit having length 90 cm and width 75 cm. The maximum curvature method and Fair-field Smith's Variance law were used to work out optimum plot size are shape for bidi tobacco. the C.V.% values (adjusted and unadjusted) per unit size were worked out for various sized plots which decreased with the increase in plot size. The C.V.% values (adjusted) were high as compared to C.V.% (unadjusted) in all the sizes except one unit size in all the attributes studied. The optimum plot size worked out on the basis of C.v.%(unadjusted) was 8 unit size while it was 5 unit size when c.v.%(adjusted) was considered. The soil heterogeneity indices were 0.7225 0.6606 and 0.8251 for leaf length, leaf width and yield of bidi tobacco respectively, considering cost function, the plot sizes were worked out for various proportions of K1 and K2 It was observed that the optimum plot size worked out on the basis of C.v.% (adjusted) and also by using cost function has limited practical value. It served as guide line only. The optimum plot size worked out on the basis of c.V.% (unadjusted) through maximum curvature method has more validity. The results thus lead to the conclusion that the 8 unit net plot size i.e. 2 rows with 4 plants in a row (1.8 m x 3.0 m) is optimum for field experiments on bidi tobacco.
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AGRICULTURAL STATISTICS, AGRICULTURE, A STUDY