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Analysis of Data from Designed Experiments

Split Plot Design

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Example: An experiment was conducted at Crop Research Center, G.B.P.U.A.T., Pantnagar, Uttar Pradesh on wheat crop in 2006 rabi season using a Split-plot (Main-A and sub-B) experiment to study the effects of organic, inorganic and micronutrients on grain yield of wheat under Paddy-Wheat cropping system. The experiment was conducted using a split plot design with method of sowing in paddy in Kharif (of Paddy in Kharif (transplanting and direct seeding) in main plots and six sub-plot treatments consisting of organic, inorganic fertilizers and micronutrients (B1: 150 kg/ha of N as Urea+60 kg/ha of P2O5 as Super+40 kg/ha of K2O as Murate of Potash. as recommended inorganic fertilizer, B2: B1 + 150 q/ha of FYM, B3=B1+residual effect of Green manure(Sesbania), B4=B1+MnSO4 @ 0.5% as foliar spray, B5= B1 + 150 q/ha of FYM+ MnSO4 @ 0.5% as foliar spray and B6= B1+residual effect of Green manure(Sesbania)+ MnSO4 @ 0.5% as foliar spray. There were 3 replications, and the data of wheat yield in kg/ha  is:

 

 

Method of Sowing 

Manurial Treatments

Replication

B1

B2

B3

B4

B5

B6

I

A1

4940

4810

5150

5090

5130

5140

A2

4900

4920

5070

4890

5150

5070

II

A1

4830

5110

4920

4900

4880

4930

A2

5020

5110

5230

5120

5160

5200

III

A1

5080

5160

5180

5190

5160

5280

A2

5090

5130

4980

5200

4290

5250

MS-EXCEL DATA FILE

Perform the analysis of the data to test the significance of effects due to residual effect method of sowing in paddy, direct effect of manorial treatments applied in wheat and interaction between method of sowing and manorial treatments.

 

 

Analysis Using SAS                                                                         Analysis Using SPSS

 

 

 

 

 

 

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Descriptive Statistics
Tests of Significance
Correlation and Regression
Completely Randomised Design
RCB Design
Incomplete Block Design
Resolvable Block Design
Augmented Design
Latin Square Design
Factorial RCB Design
Partially Confounded Design
Factorial Experiment with Extra Treatments
Split Plot Design
Strip Plot Design
Response Surface Design
Cross Over Design
Analysis of Covariance
Diagnostics and Remedial Measures
Principal Component Analysis
Cluster Analysis
Groups of Experiments
Non-Linear Models
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Other Designed Experiments
    
(Under Development)

For exposure on SAS, SPSS, MINITAB, SYSTAT and  
MS-EXCEL for analysis of data from designed experiments:

 Please see Module I of Electronic Book II: Advances in Data Analytical Techniques

available at Design Resources Server (www.iasri.res.in/design)