Table 2.
Models compared2 | Number of individuals that changed n quartiles1
|
|||||
---|---|---|---|---|---|---|
With family structure fixed effect3
|
Without family structure fixed effect3
|
|||||
1 | 2 | 3 | 1 | 2 | 3 | |
BayesC (π = 0) vs. BayesC (π̃) | 28 (7.24%) | 0 | 0 | 28 (7.24%) | 0 | 0 |
BayesC (π = 0) vs. BayesB (π̃) | 46 (11.89%) | 0 | 0 | 66 (17.05%) | 0 | 0 |
BayesC (π = 0) vs. Animal model | 140 (36.18%) | 40 (10.34%) | 4 (1.03%) | 136 (35.14%) | 22 (5.68%) | 2 (0.52%) |
BayesC (π̃) vs. BayesB (π̃) | 36 (9.30%) | 0 | 0 | 44 (11.37%) | 0 | 0 |
BayesC (π̃) vs. Animal model | 141 (36.43%) | 36 (9.30%) | 5 (1.29%) | 141 (36.43%) | 22 (5.68%) | 3 (0.78%) |
BayesB (π̃) vs. Animal model | 144 (37.21%) | 38 (9.82%) | 2 (0.52%) | 139 (35.92%) | 22 (5.68%) | 3 (0.78%) |
The number of quartiles changed was calculated by first assigning an animal’s quartile for any given analysis, then finding the difference of each animal’s quartile between the two analyses compared. Percentage was calculated by dividing the number of individuals within that category by the total number of animals (n = 387).
π̃ = 0.995
Family structure fixed effect refers to type of cross (an effect based upon the combination of sire and dam breeds, n = 12) for Warner-Bratzler shear force.