Table 2 Results from four models fitted to total length growth to normal-sized and dwarfs hyacinth macaw.

Total length normal-sized (mm); n = 381							Total length (mm) Dwarf; n = 15					F test; p value
Model	Parameters	Values	SE	R²	AIC	SE Residual	Values	SE	R²	AICc	SE Residual	F test; p value
Gompertz	A	856.4	12.41	0.9734	8080	29.75	755.4	118.08	0.9550	436.4	21.71	108.8_{(3, 1256)}; p < 0.0001
	Y0	82.75	1.682				72.17	7.032
	k	0.0207	0.0004				0.0185	0.003
Richards	A	717.0	31.02	0.9739	8063	29.51	701.3	*	0.9642	489.2	25.81	–
	Y0	69.39	3.585				82.98
	k	7.795	2.252				2.766
Logistic	A	722.9	6.358	0.9713	8173	30.93	559.6	43.11	0.9547	436.8	21.76	97.76_{(3, 1256)}; p < 0.0001
	Y0	97.35	1.509				80.53	5.684
	k	0.0383	0.0005				0.0384	0.003
Cubic polynomial	β0	72.75	2.867	0.9738	8063	29.53	76.49	16.66	0.9549	438.8	21.88	84.48_{(4, 1254)}; p < 0.0001
	β1	5.258	0.2424				2.727	1.475
	β2	0.0262	0.0053				0.0528	0.038
	β3	− 0.0002	0.0003				− 0.0003	0.0003

Parameters of the Gompertz, Richards and Logistic models: A upper asymptote (i.e. predicted adult size), k maximum relative growth rate, Y0 initial value of the asymptotic curve. Cubic polynomial models are represented with four parameters: β0 intercept, β1 maximum relative growth rate, β2 upper asymptote, β3 weight loss begins.
*Very wide confidence interval = CI > 95%.

Quick links

Search