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Latin square design or Least square difference (LSD)

Latin Square Designs (LSD) Definition and Introduction

 

  • When the experimental units is divided into rows, columns and treatment and each treatment occurs only once in the row and column, the design is called LSD.
  • Used only when the F-test indicates a significant difference exists.

 

i.e. LSD = t √2MSE/ n

  • Helps to control variations in two directions.
  • Treatments are arranged in row and column.
  • Most common size is 5×5 to 8×8.
  • Each object appear once and only once in each row and each column.
  • Also called the three-factors experiment.
  • The factors are row , column and treatment.

 

Advantages of LSD

  • You can control variations in two directions.
  • Increased efficiency as compared to RCBD.
  • More than one factor can be investigated simultaneously.

 

 

Disadvantages of LSD

  • Number of treatments must be equal to number of replicates.
  • Experimental error likely to increase with size of squares.
  • Small square has few degree of freedom.
  • Can’t calculate interaction between rows and columns , rows and treatments and column and treatments.
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