Logistic regression analysis of pregnancy rate following transfer of Bos indicus embryos into Bos indicus × Bos taurus heifers

Factors affecting pregnancy rate of 5627 Zebu embryos in crossbred females with unknown proportions of Holstein and Zebu breeding were examined. After evaluation for developmental stage, quality, and viability, embryos were immediately transferred to recipients. Pregnancy diagnosis was conducted approximately 53 d after transfer; pregnancy rate was coded as a binomial event and analyzed using logistic regression models. Maximum likelihood methodology and the likelihood ratio statistic were used to estimate regression coefficients and test hypotheses. Explanatory variables were year of transfer (1992-1999), season of transfer (summer, autumn, winter and spring), breed of the embryo (Guzerat, Gyr or Nellore), stage of the embryo (morula, early blastocyst, blastocyst, expanded blastocyst, and hatching blastocyst), quality of the embryo (excellent, good or regular), and donor-recipient synchrony (estrus in the recipient occurred 2-3 d before, 1 d before, the day of, 1 d after, or 2-3 d after estrus in the donor). Average pregnancy rate was 63.7%. Pregnancy rates were not significantly affected by breed of embryo. The best multiple-logistic model to explain the pregnancy result included the effects of year and season of transfer, embryo stage and quality, and estrous synchrony between donor and recipient (P<or=.01). High pregnancy rates occurred when transfers occurred in autumn, early blastocysts or morulae were transferred, and excellent quality embryos were chosen. In addition, pregnancy rates were highest when estrus in the recipient began 1 d earlier than that of the donor.

Genetic trend for milk yield in Guzerat herds participating in progeny testing and MOET nucleus schemes

Genetic trends for 305-day milk yield (P305) in Brazilian Guzerat herds under selection were compared. Data from 4898 lactations of 3179 purebred and crossbred cows from various regions of Brazil were used. Milk yield was adjusted for mature age and the contemporary groups were defined as herd and calving year. Genetic parameters were estimated using the MTDFREML program. The model included the random effects of animals and permanent environment, and herd-calving year, calving season and genetic composition as fixed effects. Genetic trends were estimated by linear regression of weighted average estimated breeding values as a function of calving year. The average P305 was 2065 +/- 922 kg and the heritability was 0.23 +/- 0.03. The annual genetic trend in estimated breeding values of cows for P305 was 7.09 +/- 0.71 kg between 1987 and 2004, and 6.47 +/- 2.35 kg between 1997 and 2004. For cows born and raised in the multiple ovulation and embryo transfer (MOET) nucleus, this trend was 36.46 +/- 24.54 kg/year between 1997 and 2004, 183.14 +/- 47.94 kg/year between 1997 and 2000, and 9.13 +/- 19.19 kg/year between 2001 and 2004. An average inbreeding coefficient of 0.04 was found for inbred MOET cows in 2004. Increasing the size of the family and introducing new progenies changed reliabilities and predicted transmitting ability estimates of MOET sires. In conclusion, there was a positive genetic trend for milk yield in the MOET nucleus at low inbreeding coefficients due to the increased accuracy and estimated genetic merit, but no changes in the average milk yield were observed.

Genetic parameters of multiple ovulation traits in Nellore females

Variability in superovulatory response is a limiting factor for animal breeding programs using Multiple Ovulation and Embryo Transfer (MOET) nucleus schemes. To evaluate genetic factors affecting superovulory response, 1036 multiple ovulation records from 475 Brazilian Nellore embryo donors (daughters of 139 sires), 2.2-20.5-year olds, were analyzed. Traits used to evaluate superovulatory response included the number of palpable corpora lutea (CL), the total number of recovered structures (RS), and the number of viable embryos (VE). Two data sets were used: data from the first flush only or data from the first three flushes. Genetic parameter estimations were carried out using Restricted Maximum Likelihood (REML) methodology, with single- and multiple-trait animal models. According to the data set used, heritability estimates ranged from 0.47 to 0.57 for CL, from 0.20 to 0.65 for VE, and from 0 to 0.34 for RS, and were higher for the data set that used only the first flushing only. For the first flush, genetic correlations were 0.43 between CL and SF, 0.01 between CL and VE, and 0.73 between SF and VE. Repeatability estimates ranged from 0.47 to 0.51. In conclusion, the use of data from the first flush only might result in better estimates of genetic parameters for MOET traits in Nellore females. Furthermore, moderate to high values for repeatability suggested that selection for a high response to superovulation could be made after the first flush.