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Relationship between mean yield, coefficient of variation, mean square error and plot size in wheat field experiments Coefficient of variation:

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variance/mean100 s2/xMSE s2Index of the reliability of the experiment Gomez GomezUsed to describe the amount of v - PowerPoint PPT Presentation


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Relationship between mean yield, coefficient of variation, mean square error and plot size in wheat field experiments Coefficient of variation: Relative measure of variation = (standard deviation/mean)*100 = (s/x)*100 = (square root of the variance/mean)*100 = s 2 /x MSE = s 2

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slide1

Relationship between mean yield, coefficient of variation, mean square error and plot size in wheat field experiments

  • Coefficient of variation:
  • Relative measure of variation
  • = (standard deviation/mean)*100 = (s/x)*100
  • = (square root of the variance/mean)*100 = s2/x
  • MSE = s2
  • Index of the reliability of the experiment (Gomez & Gomez)
  • Used to describe the amount of variation in a population (Cochran)
  • Used to evaluate results from different experiments involving the same units of measure (Steel et al)
slide2

MATERIALS and METHODS

362 Wheat field experiments

200 Fertilizer, weed management and tillage

142 Variety Trials

Information Collected from each Trial:RepsNumber of treatmentsPlot sizeCVDegrees of freedom (error term)MSEMean YieldSED

slide3

Plot Size: 16’ x 30’ or 4.88 x .9.1m = 44m2

Fertilizer/Weed/Tillage

Plot Size: 4’ x 4’ = 1.48m2 Variety Trials

slide4

Fertilizer, Weed, and/or Tillage Experiments

Mean Min Max Std. Dev

# of replications 3.83 2.00 6.00 0.77

# of treatments 11.1 4.00 49.0 8.10

Mean yield (kg/ha) 2802 379 5915 1222

MSE (kg2/ha2) 113782 8256 480822 97743

CV, % 13.3 3.09 61.8 7.51

Plot size, m2 37.2 8.4 96.0 24.3

Standard error (kg/ha) 231 64.2 558 98.7

slide5

Variety Trials

Mean Min Max Std. Dev

# of replications 3.34 2.00 6.00 0.92

# of treatments 14.8 4.00 60.0 11.7

Mean yield (kg/ha) 2841 967 5196 924

MSE (kg2/ha2) 140179 40576 342290 78607

CV, % 13.7 5.17 30.9 5.29

Plot size, m2 3.49 0.31 19.1 3.13

Standard error (kg/ha) 290 138 532 107

slide6

y = 49.92 + 0.02x r

2

= 0.084

y = 11.68 - 0.0014x+ 12135(

/

) r

= 0.42

1

2

x

500

70

60

400

50

300

40

CV, %

MSE x 1000

30

200

20

100

10

0

0

0

1000

2000

3000

4000

5000

6000

0

1000

2000

3000

4000

5000

6000

Mean yield, kg ha

Mean yield, kg ha

-1

-1

y = 9.66 + 0.03x r

2

= 0.16

y = 115.03 - 0.01x r

= 0.01

2

70

500

60

400

50

300

40

CV, %

MSE x 1000

30

200

20

100

10

0

0

0

100

200

300

400

500

0

20

40

60

80

100

MSE x 1000

Plot size, m

2

FIGURE 1. Relationship between mean yield, mean square error (MSE), coefficient of variation (CV) and plot size from 220 fertilizer, weed management and tillage trials.

slide7

y = 11.35 - 0.0014x + 16934(

/

) r

= 0.44

1

2

y = 94.29 + 0.01x r

= 0.0081

2

x

400

35

30

300

25

20

CV, %

MSE x 1000

200

15

10

100

5

0

0

0

1000

2000

3000

4000

5000

6000

0

1000

2000

3000

4000

5000

6000

Mean yield, kg ha

-1

Mean yield, kg ha

-1

y = 6.91 + 0.04x r

2

= 0.43

y = 130.93 - 4.25x r

= 0.019

2

35

400

30

300

25

20

CV, %

MSE x 1000

200

15

10

100

5

0

0

0

50

100

150

200

250

300

350

0

5

10

15

20

MSE x 1000

Plot size, m

2

FIGURE 2. Relationship between mean yield, mean square error (MSE), coefficient of variation (CV) and plot size from 142 variety trials.

slide8

CV useful for comparing the experimental variation of trials containing variables with common units

  • Smaller plot sizes employed in plant breeding trials (average of 3.59m2) compared to fertilizer/weed/tillage trials (average of 37.2m2) reduced the variability encountered in the estimation of the mean.
  • Smaller plot size employed in the variety trials is considered to be advantageous in field plot work since it is consistent with the resolution where detectable differences in soil test parameters exist and that should be treated independently
  • Replication
  • Randomization
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