Prediction of body weight of Curraleiro Pé-Duro cattle based on morphometric measurements.

Cattle weight development is highly correlated with some body measurements. Based on the relationship between morphometric measurements and body mass, our aim was to develop regression equations to estimate the body weight of Curraleiro Pé-Duro (CPD) cattle to be used in farms that lack access to weighting scales. Data from 1023 animals from four farms on withers height (WH), body length (BL), body score (BS), heart girth (HG), permanent teeth (PT), scrotal perimeter (SP), and live weight were used. The animals were classified into five categories depending on age and/or sex: newborns (NB), calves, weaned animals, cows, and bulls. The best models are GLM with Gamma, Gamma, inverse Gaussian, Gaussian, and Gamma distributions for NB, calves, weaned animals, cows, and bulls, respectively. Predictive modeling for bulls was the best performing overall, with a correlation of 0.97 between the estimated by the model and the obtained with a weighting scale. For NB, calves, weaned animals, and cows, the correlation (r) was 0.85, 0.90, 0.95, and 0.87, respectively. The evaluated models are adequate to be used as a technical solution to estimate weight in a cattle production system.

Evaluation of the temperature and humidity index to support the implementation of a rearing system for ruminants in the Western Amazon.

The good productive and reproductive performance of the animals depends on multiple factors, including favorable climatic conditions, which are responsible for causing changes in the physiological and behavioral responses. Thus, the objective of this study was to evaluate the temperature and humidity index (THI) to support the implementation of a rearing system in ruminants in the Western Amazon, Brazil. Monthly temperature and relative humidity data were obtained from the Database for Teaching and Research (BDMEP) for the capitals Manaus (Amazonas), Boa Vista (Roraima), and Rio Branco (Acre), considering a historical series of 27 years (1993 to 2020), referring from January to December. In the capital Boa Vista, the months of January, February, May, June, and July showed an indication of mild stress and the months of March, April, August, September, October, November, and December had moderate stress. In Rio Branco, all months of the year presented the average THI in mild stress with variations of lower THI (73) and higher THI (77). In the capital Manaus, the months from January to July signaled mild stress, but from August to November, there was moderate stress, and in December, there was mild stress. It is possible to observe significant climatic variations during the months as well as the years of study, with the animals under thermal stress with THI > 72 or in a warning signal, with a gradual increase in temperature and humidity indices over the last 10 years. The importance of the breeding system and the consideration of environmental factors, such as the THI, are fundamental for the wellbeing and performance of cattle raised in the field. Our results support the adoption of heat stress mitigation strategies for ruminants in Western Amazon.

Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference.

The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires.

Growth curve mixed nonlinear models in quails.

Our aim was to evaluate the use and application of different nonlinear mixed models, as well as to compare them with approach in nonlinear fixed models, for describing the growth curve of meat-type quails according to gender. A total of 15,002 and 15,408 records of males and females were used, respectively. The body weights were regressed on age of the animals using nonlinear models (Brody; Gompertz; Logistic, Morgan-Mercer-Flodin, Richards and Von Bertalanffy). All model parameters were considered fixed, whereas parameters related to asymptotic weight and maturity rate were fitted as random effects. The Bayesian Information Criterion was used to find the model of best fit. For both genders, the model that used the Morgan-Mercer-Flodin function with the inclusion of asymptotic weight as a random effect was considered the best-fitting model because it reduced the residual variance and increased the accuracy. Based on the lower absolute growth rate and growth velocity of male quails compared to that of females, it can be inferred that males should be slaughtered later. Given the results of this study, it can contribute to the current knowledge about animal yield, specifically at the best moment to slaughter and, this sense, improv the quality genetic of the populations in time.

Prediction of pasture intake by beef cattle in tropical conditions.

Forage intake is the most important factor for beef cattle raised on pasture, as it is the basis of the diet. Thus, knowing the variables that affect this parameter can help supplementation programs. Thus, a meta-analytic study was conducted to develop and evaluate models for the prediction of pasture dry matter intake (DMIpasture) by beef cattle in tropical conditions. Eight hundred four individual observations of DMIpasture were used, taken from 23 studies through analysis of mixed models, including the study as a random effect. To evaluate the accuracy and precision of the new models proposed as well as for the models of Azevedo et al. (2016) and Minson and McDonald (1987), an independent databank with 87 means from treatments of 21 experiments (n = 888 animals) was used. Three prediction models were adjusted: model I (animal information), model II (animal information + supplement), and model III (animal information + supplement + pasture). The proposed models presented similarity for the average square root of the prediction error. The inclusion of the predictive variables for supplementation (supplement dry matter intake - DMIsupplement - % of the body weight and crude protein intake through supplement) with the variables for the animal (BW0.75 and average daily gain) and of the pasture (% of crude protein) in model III improved accuracy and precision and provided higher determination and correlation coefficients, and agreement than the other proposed models. Similarly, it was found to be more accurate and precise than the equations of Azevêdo et al. (2016) and Minson and McDonald (1987), which presented lower precision. The DMIpasture for beef cattle in tropical conditions is more accurate and precise when the information for the animal, supplement, and pasture is included.

Pregnancy rates and serum 13,14-dihydro-15-keto-PGF2α concentrations in recipient Nelore heifers treated with meloxicam after the transfer of in vitro-produced embryos.

This study aimed to determine if the administration of meloxicam, a cyclooxygenase 2 inhibitor, to Nelore (Bos taurus indicus) heifers, in which embryo transfer is more difficult and requires a greater manipulation of the reproductive tract than in Bos taurus females, would improve the pregnancy rates by decreasing serum PGFM concentrations. After estrous synchronization, multiparous recipient heifers (n = 85) were selected as embryo recipients and were randomly allocated into two groups: CON (n = 42), the control group, in which animals received 10 mL of saline intramuscularly (the same volume of meloxicam), and MEL (n = 43), the group in which animals were treated with meloxicam. According to the degree of passing the catheter, recipients from both groups were classified as grade I (easy; <80 seconds) and grade II (difficult; >80 seconds). One hour before embryo transfer, MEL recipients received an injection of 200 mg of meloxicam. Blood samples were collected from all heifers 1 hour before embryo transfer and 4 and 8 hours after embryo transfer to determine the serum concentrations of 13,14-dihydro-15-keto-PGF2α (PGFM), a PGF2α metabolite. A significant difference in the pregnancy rates on Day 30 was observed in MEL animals between those classified as grade I and II (90.48% vs. 54.54%, respectively; P < 0.01). Considering the animals from CON, the pregnancy rates were similar between grades I and II. Serum concentrations of PGFM from samples collected 4 and 8 hours after embryo transfer were lower in pregnant animals from MEL grade I than in pregnant animals from MEL grade II. Considering the pregnant females from CON, no difference was observed from samples collected 4 and 8 hours after embryo transfer. Interestingly, no difference in PGFM serum concentrations was observed between the pregnant females from MEL grade II and pregnant females from CON (P < 0.05). Thus, we conclude that meloxicam had a positive effect on the pregnancy rates of grade I Nelore heifers.

[Parasitic dynamics of gastrointestinal nematode infection in the periparturient period of beef cattle in the State of Para]. / Dinamica da eliminacao de ovos por nematodeos gastrintestinais, durante o periparto de vacas de corte, no Estado do Para.

The experiment was conducted to investigate the dynamics of infection by gastrointestinal nematodes during the periparturition period in cows. One hundred and six beef cows were divided into two groups: G1 was formed by 42 cows of one and two parturitions, and G2 by 76 cows of three or more parturitions. From the 120 days pre partum until the 90 days post partum, feces were collected for faecal egg counts (EPG) while blood was collected to determine the packed cell volume and hemoglobin levels of each animal, with monthly intervals. In the same intervals the body condition scores (BCS) were evaluated. The mean values +/- standard deviation of the EPG for G1 were equal to 19.4 +/- 42.9, and for G2 31.1 +/- 68.0. No significant differences were observed between G1 and G2 in relation to EPG and hematological parameters, which remained within normal patterns for both groups. The two groups had higher counts of EPG in the post partum period than in the pre partum period, with averages of 32.5 +/- 55.5 and 51.5 +/- 84.8 for groups G1 and G2, respectively. A significant difference (p < 0.05) in the parameters was observed when comparing the pre and post partum within each group studied resulting in declining values of blood and body score and an increase in EPG in the post partum. The results suggest that the cows may be more susceptible to infection by nematodes from giving birth up to 90 days post partum. However, adult cows, when well managed, are not an important factor in the epidemiology of gastrointestinal nematodes, even in the post partum period.