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A good experiment incorporates all the possible means of minimizing
the experimental error.
Commonly used techniques in agricultural research to control
experimental error:
1. Blocking
2. Proper p[lot technique
3. Data Analysis
4.
1.2.1 BLOCKING
Variation among blocks can be measured and removed from
experimental error by:
1. Putting together experimental units in the same group
that are as similar as possible (blocks)
2. Assigning all treatments into each block separately and
independently.
This is suggested especially in an experimental field where
variation is expected.
1.2.2. PROPER PLOT TECHNIQUES
VARIETY TRIALS consisting of test varieties the following
environmental factors are required to be maintained uniformly for
all plots in the experiment.
o Soil nutrients
o Solar energy
o Plant population
o Pest incidence etc.
o CHOICE OF The primary concern of proper plot technique is
to minimize variation.
For field experiments sources of variation are the following:
o Soil heterogeneity
o Competition effects
o Mechanical errors
1.2.3 DATA ANALYSIS:
Proper data analysis is recommended if experimental error could not
be adequately controlled by blocking.
COVARIANCE ANALYSIS - is the most commonly used for this
purpose.
o This is done by measuring one or more covariates( characters
whose functional relationships to the character of primary
interest are known)
o It is done by adjusting their values to a common value of the
covariates.