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Randomized Complete Block Designs

Block Designs Design Control Completely Random Blocked I II III IV I II III IV Trt 2 Trt 1 Trt 4 Trt 1 Trt 2 Trt 1 Trt 4 Trt 1 Trt 3 Trt 3 Trt 1 Trt 4 Trt 1 Trt 3 Trt 3 Trt 4 Trt 3 Trt 2 Trt 1 Trt 4 Trt 3 Trt 4 Trt 1 Trt 2 Trt 4 Trt 3 Trt 2 Trt 2 Trt 4 Trt 2 Trt 2 Trt 3   Yij = + Ti + (i)j Yijk =  + Bi + Tj + εij

RCBD ANOVA Comparison with CRD

CRD RCBD Source df SS Source df SS

I I JYY() 2 2 Ti I - 1  i... Bi I - 1 JYY()i... i 1 i 1 IJ J ()YY 2 2 (i)j I(J - 1)  ij i. Tj J – 1 IYY()...j  ij11 j 1

IJ IJ ()YY 2 ()YYYY 2 Total IJ - 1  ij .. ij (I -1)(J - 1)  ij i.. j .. ij11 ij11

IJ 2 Total IJ - 1 ()YYij  .. ij11

Agronomy 526 / Spring 2021 1 Randomized Complete Block Designs

RCBD Blocking Criteria

Spatial • Topography • Edaphic • Windbreak • Flood irrigation (moisture gradient) Temporal • Time Period • Order Other • Greenhouse • Growth chamber • Lab run / Batch

RCBD Blocking Patterns

Trt 1 Trt 4 Trt 2 Trt 3

Trt 4 Trt 3 Trt 2 Trt 1

Gradient Trt 3 Trt 1 Trt 4 Trt 2

Trt 2 Trt 3 Trt 4 Trt 1

Agronomy 526 / Spring 2021 2 Randomized Complete Block Designs

RCBD Blocking Patterns Trt 3 Trt 2 Trt 1 Trt 3 Trt 1 Trt 4 Trt 2 Trt 2 Trt 3 Trt 4 Trt 1 Trt 1 Trt 4 Trt 2 Trt 3 Trt 4

Gradient

RCBD Blocking Patterns Trt 1 Trt 4 Trt 2 Trt 3 Trt 2 Trt 3 Trt 4 Trt 1 Trt 3 Trt 2 Trt 1 Trt 4 Trt 3 Trt 1 Trt 4 Trt 2

Agronomy 526 / Spring 2021 3 Randomized Complete Block Designs

RCBD Linear Additive Model

Yij =  + Bi + (i) + Tj + BTij

Where: th Yij =Observation from the ij plot  =Overall mean th Bi =Effect of the i block (i) = Restriction error associated with B th Tj =Effect of the j treatment th BTij =Interaction effect of the i of block with the jth treatment

RCBD Expected Mean Squares

Blocks Random Source b t EMS R F i j 2 2 2 Bi 1t + t  + t B 2 2 (i) 1t + t  2 2 Tj b0 +  BT + b(T) 2 2 BTij 10 +  BT

Agronomy 526 / Spring 2021 4 Randomized Complete Block Designs

RCBD Example Kenaf Variety Trial

Block Variety1 234Mean Dowling 4.3 3.7 4.0 2.8 3.7 Evergl41 3.4 3.7 3.9 3.3 3.6 Evergl71 3.6 3.0 3.7 3.6 3.5 Gregg 3.7 4.2 4.3 2.8 3.7 PF2 2.6 2.5 3.2 1.7 2.5 SF459 3.2 5.3 2.2 2.2 3.2 T2 5.4 6.1 4.2 4.6 5.1 Whitten 4.5 3.4 3.3 2.6 3.4 Mean 3.8 4.0 3.6 2.9 3.6

RCBD Example Kenaf Variety Trial ANOVA CRD Mean F Source DF SS Square Value Pr > F Variety 7 14.53005 2.075721 3.40 0.0115 Error 24 14.66376 0.61099 RCBD Mean F Source DF SS Square Value Pr > F Block 3 5.161725 1.720575 Var 7 14.53005 2.075721 4.59 0.003 Error 21 9.502032 0.452478

Agronomy 526 / Spring 2021 5 Randomized Complete Block Designs

RCBD Example Kenaf Variety Trial

CRD 2(.611) LSD 2.063 1.14 .05,24df 4 RCBD 2(.452) LSD 2.079 0.99 .05,21df 4

RCBD Relative Efficiency

(1)(3)nnMS RE  BC eC (1)(3)nnMSCB eB

Where: MSC = Error mean square for CRD

MSB = Error mean square for RCBD

nC = error df for CRD

nB = error df for RCBD

Agronomy 526 / Spring 2021 6 Randomized Complete Block Designs

RCBD Example Kenaf Variety Trial

(21 1)(24 3)0.611 RE 1.34 (24 1)(21 3)0.453

Where: MSC = 0.611

MSB = 0.453

nC = 24

nB = 21

RCBD ANOVA Analysis –Barley Example Petersen, 1994

Blocks (Soil Types) Treatment Mean 1234

1(NH4)2SO4 32.1 35.6 41.9 35.4 36.25

2NH4NO3 30.1 31.5 37.1 30.8 32.38

3CO(NH2)2 25.4 27.1 33.8 31.1 29.35

4Ca(NO3)2 24.1 33.0 35.6 31.4 31.03

5NaNO3 26.1 31.0 33.8 31.9 30.70 6 Control 23.2 24.8 26.7 26.7 25.35

Agronomy 526 / Spring 2021 7 Randomized Complete Block Designs

RCBD ANOVA Analysis –Barley Example RCBD Source DF SS MS FP>F Block 3 192.748 64.249 21.1 <.0001 Treatment 5 256.153 51.231 16.9 <.0001 Error 15 45.617 3.041 Total 23 494.518 CRD Source DF SS MS FP>F Treatment 5 256.153 51.231 3.9 0.0148 Error 18 238.365 13.243 Total 23 494.518

RCBD ANOVA Analysis –Barley Example

RCBD 2(3.041) LSD 2.132 2.63 .05,15 df 4

CRD 2(13.243) LSD 2.101 5.41 .05,18 df 4

Agronomy 526 / Spring 2021 8 Randomized Complete Block Designs

RCBD ANOVA Analysis –Barley Example

(15 1)(18 3)13.243 Efficiency 4.28 (18 1)(15 3)3.041

Where: MSC = 13.243

MSB = 3.041

nC = 18

nB = 15

RCBD Expected Mean Squares

Blocks Fixed Source b t EMS F F i j 2 2 Bi 0t + t  + t(B) 2 2 (i) 1t + t  2 Tj b0 + b(T) 2 BTij 00 + BT)

Agronomy 526 / Spring 2021 9 Randomized Complete Block Designs

Generalized RCBD Field Layout

Trt 1 Trt 1 Trt 2 Trt 3 Trt 2 Trt 3 Trt 4 Trt 4

Trt 4 Trt 3 Trt 2 Trt 1 Trt 1 Trt 4 Trt 2 Trt 3

Gradient Trt 2 Trt 3 Trt 4 Trt 1 Trt 3 Trt 1 Trt 4 Trt 2

Trt 2 Trt 1 Trt 4 Trt 1 Trt 4 Trt 3 Trt 2 Trt 3

Generalized RCBD Model

Yijk =  + Bi + (i) + Tj + BTij + (ij)k Where: th Yijk =Observation from the ijk plot  =Overall mean th Bi =Effect of the i block. (i) = Restriction error associated with B th Tj =Effect of the j treatment th BTij =Interaction effect of the i of block with the jth treatment. th th (ij)k =Effect of the k eu within i block and jth treatment.

Agronomy 526 / Spring 2021 10 Randomized Complete Block Designs

Generalized RCBD Expected Mean Squares

Blocks Random Source b t r EMS R F R i j k 2 2 2 Bi 1tr + tr  + tr B 2 2 (i) 1tr + tr  2 2 Tj b0r + r BT + br(T) 2 2 BTij 10r + r BT 2 (ij)k 111

Generalized RCBD Expected Mean Squares

Blocks Fixed Source b t r EMS F F R i j k 2 2 Bi 0tr + tr  + tr(B) 2 2 (i) 1tr + tr  2 Tj b0r + br(T) 2 BTij 00r + rBT) 2 (ij)k 111

Agronomy 526 / Spring 2021 11 Randomized Complete Block Designs

Fields as Blocks pp. 95‐103, Lorenzen and Anderson Layout: Field 12 Fertilizer 12345 12345 16... 2631... Plot 27 . . . 27. . . . 38...... 49..24....49 510. 2025 . . . 4550

Fields as Blocks pp. 95‐103, Lorenzen and Anderson

Yijk =  + Fi + (i) + Nj + FNij + (ij)k 2 5 5 R F R Source i j kEMS 2 2 2 Fi 155 + 25 + 25 F 2 2 (i) 155 + 25  2 2 Nj 205 + 5 FN + 10(F) 2 2 FNij 105 + 5 FN 2 (ij)k 111

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