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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.
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