TY  - BOOK
AU  - Kumari Liji R S
AU  - Gopinathan Unnithan V K (Guide)
TI  - Optimum size of plots In coconut using multivariete techniques
U1  - 630.31 
PY  - 1997///
CY  - Vellanikkara
PB  - Department of Agricultural Statistics, College of Horticulture 
N2  - This investigation was taken up to determine optimum size of experimental 
units for coconut using multivariate approach. Observations on yield, female flower 
production, percentage of buttons set and number of functional leaves from 184 
coconut palms for two consecutive years were utilised. These palms belonged to two 
separate experiments in two locations. 
All known systematic effects were eliminated from the observations. The 
trees were arranged in the ascending order of the number of functional leaves of first 
year of observations. Experimental units of sizes ranging from single tree to ten trees 
were formed by combining trees adjacent in the list of ordered trees. Blocks of five 
plots, seven plots and ten plots were also formed by combining adjacent plots. 
Coefficient of variation in univariate case and determinant of relative 
dispersion matrix in multivariate case were the measures of variation used. 
Optimum size of experimental units was determined in univariate case for 
yield and female flower production in first and second years. Optimum size of plots was 
determined in multivariate case for the following character combinations. 
1)	Yield for first and second year 
2)	Female flower production for first and second years 
3)	Yield and female flower production for first and second year 
4)	Yield, female flower production and percentage of buttons set for the first year 
5)	Yield female flower production and percentage of bottons set for the second year 
 
	
Optimum size of plot was determined by three different criteria viz., (i) that 
which requires minimal experimental material for a specified precision (ii) that having 
maximum efficiency and (iii) that which maximises the curvature of the relationship 
between measure of variation and plot size. 
Plot size that required minimum number of trees for 5 per cent error was 
two tree plots except in the univariate case of yield in first year and multivariate case of 
without blocking for characters sets (4) and (5) for which single tree plots were 
optimum. 
In all univariate determinations single tree plots had maximum efficiency. 
Two tree plots had maximum efficiency in multivariate approach except for characters 
sets (4) and (5) in the case of no blocking. 
Four tree plot was optimum by the method of maximum curvature except for 
characters sets (3), (4) and (5) is multivariate case for which three tree plots were 
optimum. Though Fair Field Smith's law was a good fit to the relationship between the 
measure of variation and plot size, Y = a +b/√x+ c/x gave better fit in most of the 
cases. 
Two tree plots were recommended for experiments it) established coconut 
gardens.

UR  - https://krishikosh.egranth.ac.in/handle/1/5810155179
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