Table 3. Effect of Arg supply and genotype on results of time-dependent individual growth data fitted to the Gompertz function1.
WLA |
BLA |
R11 |
L68 |
ANOVA (p values) |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LA | AA | HA | LA | AA | HA | LA | AA | HA | LA | AA | HA | PSEM | GT | DIET | GT×DIET | |
a (g/chick) | 1503d | 1492d | 1537d | 1756c | 1770bc | 1819b | 1342e | 1422e | 1404e | 1887b | 1964ab | 1977a | 29 | <0.05 | <0.001 | n.s. |
b | 3.67bc | 3.66bc | 3.61c | 3.85a | 3.58c | 3.57c | 3.74b | 3.65bc | 3.63bc | 3.78ab | 3.74b | 3.91a | 0.04 | <0.01 | <0.001 | <0.001 |
c | 0.140c | 0.157a | 0.147b | 0.133d | 0.136cd | 0.133d | 0.135cd | 0.142bc | 0.138c | 0.135 | 0.143bc | 0.142bc | 0.002 | <0.001 | <0.001 | n.s. |
tmax (weeks) | 9.36bc | 8.33d | 8.76cd | 9.44bc | 10.22a | 9.65b | 9.82ab | 9.17c | 9.35bc | 9.30bc | 9.94ab | 9.60bc | 0.16 | <0.001 | <0.001 | n.s. |
R2 | 0.998 | 0.998 | 0.998 | 0.997 | 0.998 | 0.997 | 0.998 | 0.998 | 0.998 | 0.998 | 0.998 | 0.998 | ||||
RSD | 24 | 22 | 20 | 25 | 26 | 22 | 22 | 20 | 19 | 26 | 24 | 30 | ||||
Estimated | ||||||||||||||||
MDWG | 11.1e | 12.3cd | 11.9d | 12.3cd | 12.6c | 12.7c | 9.5g | 10.6ef | 10.2f | 13.4b | 14.8a | 14.7a | 0.2 | <0.001 | <0.001 | <0.01 |
(g/chick/d) | ||||||||||||||||
Achieved | ||||||||||||||||
MDWG | 11.0e | 12.1d | 12.1d | 12.9c | 12.7cd | 13.2c | 9.5f | 11.0e | 10.0f | 14.6b | 15.5a | 15.0ab | 0.3 | <0.001 | <0.001 | n.s. |
(g/chick/d) |
LSMeans values with PSEM (n=36 chicks/experimental group) in the same row with different superscripts are significantly different (p<0.05)
1: y(t)=a·e−b·e−c·t with y=body weight at time t and the regression coefficients a (asymptotic limit=adult body weight), b and c
tmax: equivalent to the point of inflection (time of maximum weight gain)
R2=coefficient of determination; RSD=residual standard deviation; PSEM=pooled standard error of mean; MDWG=maximum daily weight gain
n.s.=not significant