Trade and consumption of buffalo meat in Brazil.

Due to the lack of information concerning the buffalo production chain, the aim of this survey was to identify consumer behaviour, acceptance and trends in relation to buffalo meat. The survey research method was used, for which an online questionnaire was prepared using Google Forms, and distributed via digital platforms to Brazilian consumers. Using the exploratory technique of multivariate statistics, ordination was carried out by principal component analysis (PCA), where the words were grouped into dimensions. Of the respondents, 44.82% had already consumed buffalo meat; however, many did not know whether they had already tried it, since 50.24% of the respondents said they could not identify any difference between buffalo meat and beef. An identification and indication of the origin were considered important by 44.82% of respondents. The respondents cited 1130 different terms, the word 'quality' appearing in most responses. Principal component analysis explained 93.32% of the variations in the consumer perception of buffalo meat. A part of Brazilian consumers is unaware of the buffalo production chain, and have never had the opportunity to consume the meat. The creation and divulgation of a certificate of identification, together with the benefits to health from consuming buffalo meat is fundamental for consumer confidence, which, together with the ready availability of the product, would allow expansion, consolidation and improvement of the production chain. The results of the study show the potential for increasing the consumption of buffalo meat among Brazilian consumers, providing the product included a guarantee of origin, quality and healthiness.

Environmental factors on the probability of pregnancy in early or conventionally weaned beef cows.

Potential variables for the reproductive success of beef cows were evaluated. Included in the model were the age of the cow at calving; the interval between the Julian calving date and the end of the breeding season; the body weight and conditions at calving, at 75 days post-partum and at the end of the breeding season; and the mean daily variation in weight between these dates. Logistic regression was used in the analysis, with the parameters evaluated using the odds ratio statistic, estimating the chance of pregnancy. The mean rate of pregnancy was 84% and 55% for early and late-weaned cows, respectively. For early weaned cows, the regression variables were the Julian calving date, age of the cow, weight gain from calving to 75 days post-partum, and from 75 days post-partum to the end of the reproductive period. For late-weaned cows, there were only two regression variables, weight at calving and weight gain from calving to the end of the reproductive period. For every year above the average age of the herd, early weaned cows have an 80.9% greater chance of pregnancy, while a reduction of one year reduces the chance of pregnancy by 44.7%. In early weaned cows, every seven days after the mean Julian calving date reduces the chances of pregnancy by 22.6%, whereas every seven days before the mean calving date increases pregnancy by 29.2%. Greater gains in cow body weight, from calving to the end of the reproductive period, determine a greater probability of pregnancy.

Body mass index at calving on performance and efficiency of Charolais cow herds.

This study evaluated the productive and reproductive performance of Charolais cows with different body mass index (BMI) at calving and the development of their calves. Seventy-two Charolais cows and their calves were grouped into BMI classes at calving, namely, low, moderate, and high. Body mass index was determined by dividing the cows' body weight by their body length and hip height and finally dividing the result by 10. Cows and their calves were weighed immediately after calving, at early weaning (63-day postpartum), and at pregnancy diagnosis (210-day postpartum). To evaluate milk production and quality, collections were performed at 21, 42, and 63 days after calving. Cows with high and moderate BMI were heavier (P < 0.05) than low-BMI cows from calving to the date of pregnancy diagnosis. Calves from low-BMI cows were heavier (P < 0.05) at 210-day postpartum than those born to cows with moderate and high BMI. The low- and moderate-BMI cows had higher pregnancy rates than those with a high BMI and were more efficient (P < 0.05) at calving and at weaning in kilograms of calf produced per kilogram of cow kept in the herd. High- and moderate-BMI cows had the highest milk production, whereas low-BMI cows produced milk with the highest concentrations of lactose and solids-not-fat (P < 0.05). Charolais cows with low and moderate BMI at calving are more efficient in production systems. The BMI may be considered a selection variable to improve the productive results of breeding herds.