Performance, feed efficiency, feeding behavior, and cortisol concentration of lambs ranked for Residual Feed Intake and Residual Intake and Gain.

This study aimed to evaluate the performance, feed efficiency, feeding behavior, and cortisol concentrations of lambs ranked into different groups of Residual Feed Intake (RFI) and Residual Intake and Gain (RIG). Forty Santa Inês lambs with a mean initial age of 120 ± 30 days and mean initial (IBW) and final body weight (FBW) of 28.9 ± 3.2 and 43.7 ± 3.9 kg, respectively, were used. The animals were fed at an automatic feed and water station (Intergado®) for 60 days and classified at the end of the experiment as low-RFI/RIG, medium-RFI/RIG, and high-RFI/RIG according to RFI and RIG. Performance, feed efficiency measures, ingestive behavior, temperament, and cortisol concentrations were measured, and Pearson's correlation analysis was performed to evaluate the relationship between the variables studied. The variables that differed most between RFI groups were dry matter intake, feed conversion, and feed efficiency, with better values in efficient animals (RFI-). Regarding the RGI groups, the average daily gain of animals classified as RIG- was 19.37% lower than that of animals classified as RIG± and 39.28% lower than that of animals classified as RIG+. Only the hourly feeding rate per day (p = 0.04) differed significantly between RFI and RIG classes, while no differences were observed for the ingestive behavior variables or cortisol. The number of visits to the feed bunk (total, with or without intake) showed no correlation with any performance or efficiency measure. Identifying animals ranked into different RFI and RIG classes shows that more efficient animals have a lower feed intake for the same weight gain and spend less time at the feed bunk.

Characteristics of growth, carcass and meat quality of sheep with different feed efficiency phenotypes.

The objective was to evaluate the performance, carcass and meat quality of 40 lambs classified by RFI (residual feed intake) and RIG (residual intake and gain). Dry matter intake (DMI) was recorded to calculate the RFI and RIG, classified as efficient, moderately or inefficient. After the confinement period, they were slaughtered and the carcass and meat quality were determined. The efficient animals had DMI scores of 0.700 RFI and 0.400 kg/d RIG, lower than the inefficient ones with similar weight gain. The RFI efficient animals showed greater shear force, without effect in the RIG classification. In general, the variables analyzed were not influenced by RFI or RIG. Efficiency measures do not affect the carcass and meat quality of sheep, but they do have the advantage of identifying animals with lower feed consumption, making the system more efficient. However, as the dataset is limited to fully assess the effects, this manuscript can be used as preliminary results for future studies.

Association between alcohol dependence and both periodontal disease and tooth loss: a cross-sectional study.

The impact of alcohol consumption on periodontal disease and tooth loss is still under debate. The aim of this cross-sectional study was to evaluate the association between alcohol dependence and both periodontal diseases and tooth loss in Brazilian native Indians. Full mouth periodontal examination was performed and tooth loss was clinically evaluated in a representative sample of 225 Indians (≥ 19 years). Sociodemographic, oral health-related data, and alcohol dependence were evaluated using structured questionnaires. The subjects were categorized as either alcohol-dependent or non-dependent according to the Alcohol Use Disorders Identification Test results. Severe periodontal disease was defined in individuals with ≥ 2 proximal sites with a clinical attachment level ≥ 6 mm, not on the same tooth, and ≥ 1 proximal site with a probing depth ≥ 5 mm. Tooth loss was categorized as one or more missing teeth, or no missing teeth. Bivariate models followed by logistic regression were used to assess the association between alcohol dependence and both periodontal disease and tooth loss. Prevalence ratio (PR) was calculated using Mantel-Haenszel analysis. Alcohol dependence increased 2.5 times the risk for tooth loss (prevalence ratio [PR] =2.49, 95% confidence interval [CI] = 1.01-9.04, p = 0.05). Severe periodontal disease was not associated with alcohol dependence (OR = 0.54, 95% CI = 0.22-1.31, p = 0.23). In conclusion, alcohol dependence was associated with tooth loss in the present population, but severe periodontal disease was not. Questions on alcohol dependence should be included in dental anamnesis questionnaires, and patients diagnosed with alcohol dependence should be referred for dental evaluation.