Review the description of the experimental design then identify the response
variable or variables, treatment factors, sources of blocking, covariables,
fixed and random effects, and experimental, sampling, and measurement units.
Draw a schematic or picture that describes the experimental layout. Write
a mathematical model describing the response variable or variables as a
function of the design elements. Describe the response variable or variables
as to a reasonable distribution for modeling the response (i.e., normal,
binomial, Poisson, etc.) and transformations that might be required.
Classify the design as nearly as possible to
one of the "named" designs. Identify the treatment structure used. Write
an ANOVA source table, if appropriate, giving sources of variation, degrees
of freedom, and expected mean squares corresponding with your model. Write
out, in terms of the experiment, the hypotheses that the investigator would
be interested in, then translate each into a mathematical hypothesis. Which
hypotheses would best be investigated via linear contrasts? Orthogonal
polynomials? Multiple comparisons? Full versus reduced models?
Experiments
An agronomist wanted to determine the effect of different sources of nitrogen
on the yield of barley used as a forage crop. There were five sources to
be compared: (1) (NH4)2SO4,
(2) NH4NO3, (3) CO(NH2)2,
(4) Ca(NO3)2, and (5) NaNO3.
He also decided to use a control treatment with no nitrogen. Because he
wanted to apply the results over a fairly wide range of conditions, he
decided to conduct the trial on four types of soil. He located six plots
on each of the four soil types. He then randomly assigned the treatments
to the plots within each soil type. The yields were measured in kg/plot.
(Source: Petersen 1994: 55)
A horticulturalist wanted to study the effect of row spacing and phosphate
fertilizer on the yield of bush beans. She used three row spacings: (S1)
45 cm, (S2) 90 cm, and (S3) 135
cm; and two levels of phosphate: (P1) no phosphate,
and (P2) 25 kg/ha phosphate. She used three different
field locations in which to grow the beans. At each location she prepared
six plots such that each combination of row spacing with phosphate could
be used. The treatment combinations were randomly assigned to plots. Bean
yields in kg/plot were measured for each plot. (Source: Petersen 1994:
86)
A food legume agronomist wanted to study the effect of three production
factors--variety, phosphorus fertilization, and weed control--on the yield
of chick-peas. The following factor levels were selected: Variety
at two levels: V1 and V2; Phosphorus
at three levels: P1 = none, P2
= 25 kg/ha, P3 = 50 kg/ha; Weed control at two levels:
W1 = none, W2 = herbicide. He
believed these factors might not act independently so he constructed the
following treatment levels:
(1) V1P1W1,
(2) V1P2W1,
(3) V1P3W1,
(4) V1P1W2,
(5) V1P2W2,
(6) V1P3W2,
(7) V2P1W1,
(8) V2P2W1,
(9) V2P3W1,
(10) V2P1W2,
(11) V2P2W2,
(12) V2P3W2.
The area in which the trial was to be run included three soil types. He
located 12 plots on each of the soil types and assigned the treatment combinations
at random to plots within types. The yields of dry chick-peas in kg/plot
was recorded for each plot. (Source: Petersen 1994: 96)
Four cultivars, A, B, C, and D, of dwarf beans were selected for a growth
study at a specific site. Thirty-two (32) plots were prepared at the site
and the cultivars were randomly assigned to plots such that each cultivar
appeared on eight plots. The leaf areas in square-centimeters were recorded
for each plot three days after germination. (Source: Pearce et al. 1988:
23)
An experimenter had three promising new varieties of maize, referred to
here as X, Y, and Z. He wished to compare them with his existing recommended
variety, referred to as R. The following table shows the field layout of
the plots along with the yields. Yields were measured in cavans per hectare
(cavan is a measure of volume in the Philippines). (Source: Pearce et al.
1988: 25)
Y (32.8)
Z (24.2)
R (28.5)
X (26.9)
R (29.5)
X (23.7)
Z (28.0)
Y (25.8)
X (33.4)
R (14.2)
Y (33.3)
Z (23.6)
Z (31.3)
Y (25.8)
X (33.1)
R (13.2)
Another experimenter wished to compare the yields of six strains (A-F)
of maize. The following field plan was used with yields measured in bushels
per acre. (Source: Pearce et al. 1988: 25-26)
B (20.3)
C (14.9)
A (13.7)
D (14.7)
E (16.7)
F (18.6)
E (18.2)
A (15.3)
C (10.1)
F (15.3)
B (10.8)
D (11.3)
A (12.2)
E (16.7)
F (12.2)
C (11.2)
D (11.4)
B (10.5)
D (18.9)
F (17.9)
E (16.8)
B (16.0)
A (14.3)
C (16.4)
F (17.7)
B (20.1)
D (17.0)
A (15.3)
C (15.5)
E (17.0)
C (18.7)
D (17.9)
B (19.9)
E (17.7)
F (18.4)
A (12.1)
Five varieties of spring wheat were sown on plots located within four blocks
controlling for variation across a field. The soil of each plot was treated
with three different levels of nitrogen randomly allocated to equal areas
within each plot. The field layout and yields in tons per hectare are given
in the table below. (Source: Pearce et al. 1988: 164-165).
Block
I
V2
N1
N3
N2
4.6
5.5
5.3
V5
N2
N3
N1
5.0
5.4
4.7
V1
N1
N2
N3
5.5
6.1
6.4
V4
N1
N3
N2
5.0
6.0
5.7
V3
N2
N1
N3
5.5
4.9
5.8
Block
II
V1
N3
N1
N2
5.8
5.0
5.5
V3
N1
N3
N2
4.9
5.5
5.4
V2
N3
N2
N1
5.4
5.0
4.7
V5
N2
N3
N1
4.6
5.0
4.2
V4
N2
N1
N3
6.2
5.7
6.5
Block
III
V5
N2
N3
N1
4.8
5.0
4.6
V1
N2
N3
N1
5.4
5.9
5.0
V3
N3
N1
N2
5.5
4.8
4.7
V2
N1
N3
N2
5.0
5.8
5.1
V4
N1
N3
N2
5.3
6.7
5.8
Block
IV
V2
N3
N1
N2
5.9
5.0
5.6
V3
N3
N2
N1
4.8
4.6
4.0
V4
N2
N1
N3
5.1
4.7
5.4
V1
N1
N2
N3
5.2
5.5
5.8
V5
N3
N2
N1
5.2
4.8
4.4
An experiment was undertaken to study the yields of hay grass under five
different cutting regimes (A-E) and four different grass mixtures (W, X,
Y, and Z). Cutting regimes were assigned to plots according to the diagram
below and then grass mixtures were randomly assigned to quarter plots of
each full plot (again, see the diagram, although the randomized order of
these plots is not shown). With treatments A-C crops of hay were taken
on 24th June, 15th June, and 31st October. With A, crops had been taken
on three previous occasions, with B on two and with C on one. With treatments
D and E, crops were taken with relation to the emergence of ears; with
D at emergence and 28 and 70 days afterwards; and with E at 28 and 84 days
after emergence. The data are the dry weight matter of hay removed from
each quarter plot. (Source: Pearce et al. 1988: 165-166)
C
W 648
X 532
Y 323
Z 434
B
W 453
X 463
Y 294
Z 309
E
W 1032
X 933
Y 1215
Z 827
D
W 562
X 540
Y 407
Z 511
A
W 452
X 427
Y 439
Z 449
D
W 392
X 528
Y 493
Z 299
E
W 781
X 759
Y 588
Z 890
A
W 739
X 826
Y 632
Z 550
C
W 630
X 568
Y 567
Z 523
B
W 624
X 490
Y 618
Z 508
A
W 489
X 620
Y 400
Z 476
C
W 499
X 551
Y 428
Z 294
D
W 529
X 673
Y 422
Z 676
B
W 456
X 366
Y 554
Z 510
E
W 1204
X 958
Y 967
Z 950
B
W 619
X 976
Y 509
Z 457
A
W 378
X 436
Y 354
Z 336
C
W 759
X 734
Y 457
Z 602
E
W 826
X 1104
Y 866
Z 1380
D
W 432
X 677
Y 383
Z 449
E
W 1036
X 765
Y 474
Z 704
D
W 289
X 511
Y 339
Z 256
B
W 626
X 445
Y 601
Z 466
A
W 911
X 918
Y 704
Z 551
C
W 596
X 1020
Y 438
Z 632
References
Pearce, S.C., G.M. Clarke, G.V. Dyke, and R.E. Kempson. 1988. A Manual
of Crop Experimentation. Charles Griffin & Company, LTD., London.
Petersen, R.G. 1994. Agricultural Field Experiments: Design and Analysis.
Marcel Dekker, Inc., New York, S540.F5P47 1994.