Figure 1.

Fitted Johnson SL distribution curves for weight standard deviation (WSD) for each treatment in the 2 × 2 factorial. These distributions were constructed from all animals (n = 192) that were assigned to the various treatments. These curves provide a graphical description of the degree of overlap in distribution of WSD among treatments. EV = exit velocity.

Figure 2.

Fitted Johnson SL distribution curves for exit velocity (EV) for each treatment in the 2 × 2 factorial. These distributions were constructed from all animals (n = 192) that were assigned to the various treatments. These curves provide a graphical description of the degree of overlap in distribution of EV among treatments. WSD = weight standard deviation.

Figure 3.

Linear regression analysis of initial weight standard deviation (WSD) on subjective chute score (SCS) at d 0. WSD = (1.12 ± 0.499) + (1.90 ± 0.239) × SCS, P < 0.01, R2 = 0.247, n = 192.

Figure 4.

Least squares means of exit velocity (EV) on each day of temperament assessment (d −8, 0, 1, 15, 29, 56, and 58) by EV treatment (slow or fast). Treatment was based on initial measures of EV (average = d −8). The initial average EV for the slow treatment was 1.74, and initial average EV for the fast treatment was 3.56 (n = 192). There was a significant EV by day interaction (P < 0.01). Points with different letters on a given day are significantly different (P < 0.01). The time effects of the slow EV treatment were characterized by linear (P < 0.01) and cubic (P < 0.01) effects. The time effects of the fast EV treatment were characterized by linear (P < 0.01), quadratic (P < 0.01), and cubic (P < 0.01) effects.

Figure 5.

Least squares means of weight standard deviation (WSD) on each day of temperament assessment (d −8, 0, 1, 15, 29, 56, and 58) by WSD treatment (low or high). Treatment was based on initial measures of WSD (average = d −8). The initial average WSD for the low treatment was 2.84 kg, and initial average WSD for the high treatment was 6.91 kg (n = 192). There was a significant WSD by day interaction (P < 0.01). Points with different letters on a given day are significantly different (P < 0.05). The time effects of the low WSD treatment were characterized by a quadratic (P < 0.05) effect. The time effects of the high WSD treatment were characterized by linear (P < 0.01), quadratic (P < 0.05), and cubic (P < 0.01) effects.