Table 2. Reproductive performance of cattle clones and their genetic donors after AI and IVF.

	Superovulation with AI				Ovum pickup with IVF
Breeding group	N	Age	Flushed Embryos	Transferable Embryos	N	Age	Oocytes	Transferable Embryos
Genetic donor (Average ± SD)	34	6.65±3.20	10.47±4.75	4.77±3.15	25	9.32±4.04	17.7±8.14	5.09±4.39
Clone (Average ± SD)	85	3.37±1.30	9.68±6.57	4.42±3.38	61	3.90±1.58	18.9±9.00	6.04±5.85
Equal variance test (P value)a		<0.0001	0.0391	0.6589		<0.0001	0.5963	0.1205
Minimum differenceb			3.07	1.86			5.67	3.27

Notes: Values shown are the number of animals (N) per breeding group or the average values for age, number of flushed embryos, number of transferable embryos or number of oocytes ± standard deviation for each breeding group.

^a The SAS ttest procedure was used to compare variances between genetic donor and clone breeding groups. Results of the test of equal variances (method: folded F) are shown for each comparison category.

^b Retrospective power analyses were performed (t-test with two-tailed α = 0.05) to determine the minimum significant difference detectable (at 80% power) for all comparisons between genetic donor and clone shown above (except age). For example, with N = 34 for donors (σ = 4.75) and N = 85 for clones (σ = 6.57), we would have 80% power to detect a significant difference of 3.07 flushed embryos generated by superovulation with AI.