Carmen Silva Pereira

Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model

Test-day milk yield records of 11,023 first-parity Holstein cows were used to estimate genetic parameters for milk yield during different lactation periods. (Co)variance components were estimated using two random regression models, RRM1 and RRM2, and the restricted maximum likelihood method, compared by the likelihood ratio test. Additive genetic variances determined by RRM1 and additive genetic and permanent environmental variances estimated by RRM2 were described, using the Wilmink function. Residual variance was constant throughout lactation for the two models. The heritability estimates obtained by RRM1 (0.34 to 0.56) were higher than those obtained by RRM2 (0.15 to 0.31). Due to the high heritability estimates for milk yield throughout lactation and the negative genetic correlation between test-day yields during different lactation periods, the RRM1 model did not fit the data. Overall, genetic correlations between individual test days tended to decrease at the extremes of the lactation trajectory, showing values close to unity for adjacent test days. The inclusion of random regression coefficients to describe permanent environmental effects led to a more precise estimation of genetic and non-genetic effects that influence milk yield.

Genetic diversity between herds of Alpine and Saanen dairy goats and the naturalized Brazilian Moxotó breed

Brazilian naturalized goat breeds are adapted to the semiarid conditions prevalent in the Northeast region of the country (which has the largest Brazilian goat heard) and represent an as yet uninvestigated source of genetic diversity. Currently, imported goat breeds are crossed with Brazilian naturalized goat breeds, endangering the genetic potential of the naturalized breeds. We used 11 microsatellite markers to determine the genetic diversity among imported (non-naturalized) dairy Alpine and Saanen goats and naturalized Brazilian Moxoto goats. We genotyped 292 goats from three herds (one private, one from the University of Minas Gerais and the Moxoto conservation herd from Embrapa Caprinos) and found that the general heterozygosity was 0.6952 for Alpine, 0.7043 for Saanen and 0.4984 for Moxoto goats. The number of alleles ranged from 5 (INRA005) to 11 (BM3205), with an average of 7 alleles per locus in the imported breeds and 3.5 alleles per locus in the Moxoto breed. Mean differentiation between populations was higher for herds (FSTS = 0.0768) than for breeds (FSTP = 0.0263), indicating similarity between the imported breeds and the existence of crosses between them. Neis genetic distance was highest between the Moxoto breed and the imported breeds. These indicate that further studies using these molecular markers would be fruitful.

Efeito de extratos de própolis verde sobre bactérias patogênicas isoladas do leite de vacas com mastite

In vitro, the sensitivity to different propolis extracts, at a concentration of 100 mg/ml, of Staphylococcus aureus, Staphylococcus sp. coagulase negative, Streptococcus agalactiae and bacteria of the coliform group, isolated from the milk of cows with mastitis, was evaluated using the technique of an agar disk diffusion with a medium doublelayer. The results showed that the commercial propolis, the ethanolic extract, and, in a minor proportion, the methanolic extract inhibited the growth of the Gram positive bacteria, Staphylococcus aureus, Staphylococcus sp. coagulase negative and Streptococcus agalactiae. The extracts obtained through water, etila acetate and chloroform did not inhibit any bacterial strains, nor did the pure ethanol and methanol vehicles that were utilized as controls. The Gram negative bacterium tested, from the coliform group, did not show sensitivity to any extract. Bacterial strains of the same species collected from different sources presented significant differences in sensitivity to the extracts (p < 0.05). In the Streptococcus agalactiae samples, the diameters of the zone of inhibition around the disks were bigger than those observed for samples of Staphylococcus aureus and Staphylococcus sp. coagulase negative. The results of this experiment stimulate the continuation of studies on the use of propolis extracts, by means of using the appropriate vehicles for the treatment of bovine mastitis.

Estimação de parâmetros genéticos para características de crescimento de ovinos Santa Inês utilizando modelos uni e multicaracterísticas

Records of birth weights at 196 days of age of 927 lamb progenies of 45 sires and 323 dams of Santa Ines sheep, controlled from 1983 to 2000, were used with purpose of evaluating three models that considered or no the maternal genetic effect and covariance between direct and maternal genetic effects, to estimate variance components and genetic parameters by single and two-trait analyses. The (co)variance components and genetic direct and maternal parameters were estimated by restricted maximum likelihood methods, under animal model. The model that included additive direct and maternal effects showed higher value for log likelihood for all the studied traits. Model without maternal effect overestimated the variances and heritability for direct genetic effect (0.56 to 0.23). The importance of maternal effect decreased with growth, as the age of the lambs increased. The variances and heritability estimates in two-trait models for genetic direct genetic effect were higher than those obtained by single-trait models. The genetic correlations between the traits were high and positive. The maternal effect was important for all the studied traits. The two-trait models allowed better estimate of the direct additive variance, causing higher heritability value.

Uso de modelos de regressão aleatória para descrever a variação genética da produção de leite na raça Holandesa

Data comprising 68,523 test day milk yield of 8,536 cows of the Holstein breed, calving from 1996 to 2001, were used to compare random regression models, for estimating variance components. Test day records (TD) were analyzed as multiple traits, considering each TD as a different trait. The test day records were analyzed as longitudinal traits by different random regression models regarding the function used to describe the trajectory of the lactation curve of the animals. The Wilminks exponential function, the Ali and Schaeffer logarithmic function and the Legendre orthogonal polynomials of second and fourth order were used. The comparisons among the models were based on the following criteria: estimates of variance components of the multiple-trait model and random regressions models, values of residual variance and values of the logarithms of the likelihood functions. The heritability estimates obtained using the multiple-trait model varied from 0.110 to 0.244, for the random regression models the values ranged from 0.127 to 0.301, being the largest estimates observed in the models with larger number of parameters. The random regression models which used the Legendre polynomials was the model which better described the genetic variation of the milk yield.

Avaliação genética de características de crescimento de ovinos Santa Inês utilizando modelos de regressão aleatória

Records on weights from birth to 196 days of age of 927 lambs of Santa Ines hairless sheep, from 1983 to 2000, were used to estimate genetic parameters and to predict breeding values by random regression models and to compare these estimates with those obtained by two-traits model. The random regression models were fitted by quadratic and cubic orthogonal Legendre polynomials. The heritability estimates of direct effect increased from birth to 196 days of age. The heritabilities for the maternal effect increased from birth to 56 days, and decreased after that age. The heritabilities for direct effect obtained by two-trait and random regression analyses showed opposite tendency. While the estimates obtained by two-trait analyses decreased from birth to 196 days of age, those obtained by random regression models increased. The heritabilities for maternal effect, obtained by both models, showed the same behavior, however with different magnitude. The Spearman correlation between estimated breeding values by both models was low. The heritability and genetic correlations estimated by random regression model were more consistent than those estimated by two-trait model.

Maternal effects on the genetic evaluation of Tabapuã beef cattle

The aim of this investigation was to study the influence of maternal effects on the genetic evaluation of sire production in Tabapua beef cattle. Single and multiple trait analyses were done with adjusted animal weights at 120, 240 and 420 days of age. Antagonism was observed between additive direct and maternal genetic effects, with the maternal effect being higher until weaning. The inclusion of maternal effects in the models removed part of the additive variance only in single trait analyses and resulted in smaller means and standard deviations for the sire breeding values. The use of maternal effect associated with single or multiple traits may affect sire ranking. The contradictory results of the single and multiple trait analyses for additive direct and maternal effects indicate that caution is needed when considering recommendations about the importance of maternal effects in Tabapua beef cattle.

Estimativas de parâmetros genéticos para características reprodutivas de suínos

Data on age at first farrowing (IPP), total number of piglets born (NLN), number of piglets born alive (NLNV), and birth litter weight (PLV) were used to estimate genetic and phenotypic parameters of reproductive traits in Large White breed. Genetic and phenotypic variances and covariances were estimated by Restricted Maximum Likelihood method (REML). The model to analyze IPP included direct genetic effect, maternal effect and common litter effect, and the model to analyze NLN, NLNV and PLV included only direct genetic effect. Heritability estimates for direct additive genetic effects ranged from 0.17 to 0.34. Favorable genetic correlations between IPP and the other traits studied were observed. The low heritability estimates for most traits suggest that efficient selection strategies must be sought to increase genetic gain and that response for NLN may be obtained by indirect selection on NLNV.

Uso de funções ortogonais para descrever a produção de leite no dia de controle por meio de modelos de regressão aleatória

Data comprising 68,523 test day milk yield of 8,536 cows of the Holstein breed, daughters of 537 sires, distributed in 266 herds, calving from 1996 to 2001, were used to compare random regression models, for estimating variance. Test day records (TD) were analyzed by different random regression models regarding the function used to describe the trajectory of the lactation curve of the animals. Legendre orthogonal polynomials function of second, third and fourth order were used. The random regression models included the effects of herd-month-year of the control, genetic group of the animals; the frequency of the daily milk; regression coefficients for each class of age-season (in order to describe the fixed part of the lactation curve) and random regression coefficients related to the direct genetic and the permanent environmental effects. The heritability estimates obtained using the random regression models ranged from 0.122 to 0.291. The random regression model which used the fourth order Legendre polynomials was the model which better described the genetic variation of the milk yield, according to AIC test.

Paternity in Brazilian goats through the use of DNA microsatellites

A total of 292 animals from three breeds (Alpine and Saanen dairy breeds, and the Brazilian naturalized breed Moxoto) were genotyped, comprising 276 paternity cases. Statistical analyses were carried out by using TFPGA and CERVUS programs. Heterozygosis ranged from 0.542 (ILSTS005) to 0.825 (INRA006), with an average of 0.717 for all loci. Polymorphic information content (PIC) was 0.676 and 0.542, and combined exclusion probabilities (EP) were 0.999591 and 0.988375 for known and unknown maternal genotypes, respectively. The microsatellite system reveals 10% of paternity misidentification in evaluated registers.