Logistic regression was performed using the LOGISTIC procedure of SAS to

analyze data for the proportion of recipients that were pregnant at day 21 after ovulation

(based on having a plasma progesterone concentration above 2.0 ng/mL), day 30 after

ovulation (based on ultrasound) and day 45 after ovulation (based on rectal palpation).

Calving rate and pregnancy loss were also analyzed by logistic regression. Calving rate

was analyzed two ways: 1) as the proportion of recipients that gave birth to a calf, live or

dead (defined as overall calving rate) and 2) as the proportion of recipients that gave birth

to a calf that survived at least 24 h (defined as live calving rate). Pregnancy loss was

analyzed between three time points as follows: day 21 to day 30, day 30 to day 45 and

day 45 to term (except Farm 3). The models for the variables described above included

the main effects of season of transfer (hot season = July, August and September and cool

season = January, March, April, and November), embryo treatment, farm-season, days in

milk and all two-way interactions. Additional analyses for pregnancy rate, calving rate

and pregnancy loss were also conducted. One analysis included a subset of recipients at

Farm 2 and Farm 3 only. These were two locations at which transfers were completed in

both the cool season and the hot season. Another analysis included a subset of recipients

that received embryos cultured in 5% 02 and were harvested on day 7. In addition,

analyses were also performed separately for transfers in the cool season and hot season,

respectively, with farm and embryo treatment as effects. Finally, analyses were

conducted separately for control and IGF-1 treated embryos to determine effects of

season. All data on pregnancies and calvings are reported as the actual percentage.

 Calf birth weight and gestation length were subjected to analysis of variance using

the GLM procedure of SAS. Data were analyzed for the data set of all calves and the