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Difference between CRD and RBD

Complete Random Design (CRD)

In CRD, as the name suggests, treatments are assigned completely randomly so that each treatment unit gets the same chance of receiving any one treatment. This is suitable only for the experiments such as laboratory experiments or green house studies etc, where the experiment material is homogeneous and not for heterogeneous studies. In replication category, CRD differs from treatment to treatment i.e, 4 to 5 replications are sufficient.

Advantages:



Disadvantages:

Randomized Block Design (RBD)

In RBD, materials are assigned to homogeneous sub-groups which is named as a block. It comes in the category of single factor design. The analysis is easy but becomes complicated when the missing plot technique is required.  In replication category, RBD differs from treatment to treatment i.e, 4 to 5 replications are sufficient.



Advantages:

Disadvantages-

Difference between CRD and RBD:

  CRD RBD
Layouts The whole field is divided directly into plots (product of replications=treatments). The field is divided into homogeneous i.e, plots=number of treatments.
Conditions of Use The amount of experimental material to be used is tested and the nature of the fertility variation of the field. The fertility variation usage moves in one direction.
Randomization In CRD, treatment-wise. In RBD, replication or block-wise.
Local Control Not adopted in this case. In this case, adopted by homogeneous blocks.
Components of Variation Divided into 2 component divisions. Divided into 3 component divisions.
Analysis Analysis in CRD is very easy and simple. In this case, analysis is easy but becomes complicated if the missing plot technique is applied.
Accuracy CRD is less accurate than other designs. The accuracy level of RBD is greater than CRD.
Efficiency CRD is not that efficient when compared to RBD.  RBD is very efficient than CRD.
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