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Proteomics studies can be used to identify proteins that affect feed efficiency traits, related to cost and profitability of meat production. We used a proteomic approach based on two-dimensional electrophoresis (2D-PAGE) in combination with mass spectrometry (ESI-MS) to study liver samples of Nellore bulls divergently ranked according to residual feed intake (RFI). The study showed that 71 protein spots were expressed differentially (P < 0.05) among RFI groups and 47 were identified by ESI-MS. In RFI, efficient animals (low RFI) eat less than predictions, based on their weights and growth rate, while inefficient animals (high RFI) that eat more than predicted. Data from 18 animals (9 high vs. 9 low RFI) aged 24-26 months in feedlot finishing were used. Immediately after slaughter, liver samples were collected and protein extracts were separated. The gels of RFI groups were scanned and the images analyzed, whereby we found 279 and 215 liver protein spots in high and low RFI bulls, respectively. The proteins identified were related to the following biological functions: (I) oxygen transport and blood flow; (II) mitochondrial function and energy metabolism; (III) amino acid metabolism, ion transport, and cell survival. The study suggests hemoglobin subunit beta and heat shock protein 71 kDa and as molecular markers to study FE in Nellore cattle. Moreover, proteins such as 3-ketoacyl-CoA thiolase and glutamate dehydrogenase 1 were found in liver from high and low RFI animals, respectively. Such protein expression could be associated with changes in the oxidative capacity of RFI phenotypes.

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Evaluation of the body chemical composition of beef cattle can only be measured postmortem and those data cannot be used in real production scenarios to adjust nutritional plans. The objective of this study was to develop multiple linear regression equations from in vivo measurements, such as ultrasound parameters [backfat thickness (uBFT, mm), rump fat thickness (uRF, mm), and ribeye area (uLMA, cm2)], shrunk body weight (SBW, kg), age (AG, d), hip height (HH, m), as well as from postmortem measurements (composition of the 9th to 11th rib section) to predict the empty body and carcass chemical composition for Nellore cattle. Thirty-three young bulls were used (339 ± 36.15 kg and 448 ± 17.78 d for initial weight and age, respectively). Empty body chemical composition (protein, fat, water, and ash in kg) was obtained by combining noncarcass and carcass components. Data were analyzed using the PROC REG procedure of SAS software. Mallows' Cp values were close to the ideal value of number of independent variables in the prediction equations plus one. Equations to predict chemical components of both empty body and carcass using in vivo measurements presented higher R2 values than those determined by postmortem measurements. Chemical composition of the empty body using in vivo measurements was predicted with R2 > 0.73. Equations to predict chemical composition of the carcass from in vivo measurements showed R2 lower (R2< 0.68) than observed for empty body, except for the water (R2 = 0.84). The independent variables SBW, uRF, and AG were sufficient to predict the fat, water, energy components of the empty body, whereas for estimation of protein content the uRF, HH, and SBW were satisfactory. For the calculation of the ash, the SBW variable in the equation was sufficient. Chemical compounds from components of the empty body of Nellore cattle can be calculated by the following equations: protein (kg) = 47.92 + 0.18 × SBW - 1.46 × uRF - 30.72 × HH (R2 = 0.94, RMSPE = 1.79); fat (kg) = 11.33 + 0.16 × SBW + 2.09 × uRF - 0.06 × AG (R2 = 0.74, RMSPE = 4.18); water (kg) = - 34.00 + 0.55 × SBW + 0.10 × AG - 2.34 × uRF (R2 = 0.96, RMSPE = 5.47). In conclusion, the coefficients of determination (for determining the chemical composition of the empty body) of the equations derived from in vivo measures were higher than those of the equations obtained from rib section measurements taken postmortem, and better than coefficients of determination of the equations to predict the chemical composition of the carcass.

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O objetivo desse trabalho foi comparar o intervalo de tempo de registro de cinco minutos com quatro intervalos de tempo (10, 15, 20 e 30 minutos), para avaliação dos comportamentos comendo, ruminando, em ócio, em pé, apresentados por bovinos confinados individualmente. Foram utilizados 62 machos Nelore desmamados, confinados durante 112 dias. O comportamento foi registrado a cada 28 dias, durante 24h, por observações diretas com rota de amostragem scan e intervalos de registro de 5 minutos, para o cálculo das seguintes características: tempo de alimentação, tempo de ruminação, tempo em ócio, tempo em pé e frequência de alimentação. Foram comparados os intervalos de registro por meio de variâncias, correlações e médias das características. Observou-se para as características, tendência de aumento da variância residual à medida que o intervalo de tempo entre dois registros aumentou, com exceção da frequência alimentar, em que foi observada tendência de diminuição da variância residual com o aumento do intervalo de registro. As médias ajustadas para as medidas de comportamento ingestivo obtidas nos intervalos de registro de 5, 10, 15, 20 e 30 minutos não diferiram significativamente (P>0,05) entre si, com exceção de tempo de alimentação, que apresentou menor valor (P<0,05) no intervalo de registro de 30 minutos em comparação ao intervalo de 5 minutos. Observou-se que até o intervalo de registro de 15 minutos, as correlações com o intervalo de registro de 5 minutos podem ser consideradas altas. Entretanto, acima de 15 minutos de intervalo de registro, a correlação com o intervalo de registro de 5 minutos cai abruptamente, deixando claro que intervalos de registros superiores a 15 minutos são inadequados para estimar as características de comportamento ingestivo de bovinos avaliadas. (AU)

: The objective of this study was to compare five-minute recording intervals with four time intervals (10, 15, 20 and 30 minutes) for estimation of eating, ruminating, idling and standing time, as well as meal frequency, of cattle housed in individual pens. Sixty-two weaned Nellore males housed in individual pens for 112 days were used. Ingestive behavior was evaluated every 28 days for 24 h. Direct observations were made using scan sampling and instantaneous sampling at intervals of 5 minutes. The recording intervals were evaluated using error variance, correlations, and adjusted means. For all traits, the residual variance tended to increase with increasing recording interval, except for meal frequency whose residual variance decreased with increasing recording interva. The adjusted means for the ingestive behavior measurements obtained at intervals of 5, 10, 15, 20 and 30 minutes did not differ significantly (P>0.05), except for meal frequency which was lower (P<0.05) in the 30-minute recording interval. The correlations with the 5-minute recording interval were considered high up to the 15-minute interval. However, for longer recording intervals, the correlation with the 5-minute recording interval decreased abruptly, showing that recording intervals longer than 15 minutes are inadequate to estimate ingestive behavior traits of cattle.(AU)

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RESUMO

O objetivo desse trabalho foi comparar o intervalo de tempo de registro de cinco minutos com quatro intervalos de tempo (10, 15, 20 e 30 minutos), para avaliação dos comportamentos comendo, ruminando, em ócio, em pé, apresentados por bovinos confinados individualmente. Foram utilizados 62 machos Nelore desmamados, confinados durante 112 dias. O comportamento foi registrado a cada 28 dias, durante 24h, por observações diretas com rota de amostragem scan e intervalos de registro de 5 minutos, para o cálculo das seguintes características: tempo de alimentação, tempo de ruminação, tempo em ócio, tempo em pé e frequência de alimentação. Foram comparados os intervalos de registro por meio de variâncias, correlações e médias das características. Observou-se para as características, tendência de aumento da variância residual à medida que o intervalo de tempo entre dois registros aumentou, com exceção da frequência alimentar, em que foi observada tendência de diminuição da variância residual com o aumento do intervalo de registro. As médias ajustadas para as medidas de comportamento ingestivo obtidas nos intervalos de registro de 5, 10, 15, 20 e 30 minutos não diferiram significativamente (P>0,05) entre si, com exceção de tempo de alimentação, que apresentou menor valor (P<0,05) no intervalo de registro de 30 minutos em comparação ao intervalo de 5 minutos. Observou-se que até o intervalo de registro de 15 minutos, as correlações com o intervalo de registro de 5 minutos podem ser consideradas altas. Entretanto, acima de 15 minutos de intervalo de registro, a correlação com o intervalo de registro de 5 minutos cai abruptamente, deixando claro que intervalos de registros superiores a 15 minutos são inadequados para estimar as características de comportamento ingestivo de bovinos avaliadas.

: The objective of this study was to compare five-minute recording intervals with four time intervals (10, 15, 20 and 30 minutes) for estimation of eating, ruminating, idling and standing time, as well as meal frequency, of cattle housed in individual pens. Sixty-two weaned Nellore males housed in individual pens for 112 days were used. Ingestive behavior was evaluated every 28 days for 24 h. Direct observations were made using scan sampling and instantaneous sampling at intervals of 5 minutes. The recording intervals were evaluated using error variance, correlations, and adjusted means. For all traits, the residual variance tended to increase with increasing recording interval, except for meal frequency whose residual variance decreased with increasing recording interva. The adjusted means for the ingestive behavior measurements obtained at intervals of 5, 10, 15, 20 and 30 minutes did not differ significantly (P>0.05), except for meal frequency which was lower (P<0.05) in the 30-minute recording interval. The correlations with the 5-minute recording interval were considered high up to the 15-minute interval. However, for longer recording intervals, the correlation with the 5-minute recording interval decreased abruptly, showing that recording intervals longer than 15 minutes are inadequate to estimate ingestive behavior traits of cattle.

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A total of 127 Nellore bulls classified as low and high residual feed intake (RFI), from three selection lines, were evaluated in five experiments aiming to identify associations between RFI, carcass, and meat quality traits. Feedlot performance, carcass traits, and meat quality of Longissimus muscle were evaluated. A mixed model including the fixed effects of RFI class, selection line, interaction between RFI class and selection line, and age at slaughter as a covariate, and the random effects of diet within experiment and experiment was used, with means compared by the t-test. Feed intake average difference was 0.962kg/day; low RFI animals consumed 0.479kg/day less feed and high RFI animals consumed 0.483kg/day more feed than expected. No differences between RFI classes were detected for most of studied variables, demonstrating the absence of unfavorable associations between RFI and carcass and meat quality traits. Low RFI Nellore animals use feed efficiently and produce good quality carcasses and meat.

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The objective of this study was to estimate the heritability of predicted daily enteric methane emissions (PME) from growing Nellore cattle. Dry matter intake (DMI) records of 955 Nellore animals that were born between 2004 and 2013, which were obtained in a postweaning performance test lasting 83 ± 15 days, were used. The PME of each animal, obtained as MJ/day and converted to g/day, was estimated using three equations: PME1 (MJ/day) = 2.29 + 0.647 x DMI (kg/day), PME2 (MJ/day) = 3.96 + 0.561 x DMI (kg/day), and PME3 (MJ/day) = 4.41 + 0.50 x DMI (kg/day). The heritability (h2) of PME obtained using the three equations was identical to the h2 of DMI, regardless of whether the model included the effect of mid-test weight (h2 = 0.32 ± 0.069) or not (h2 = 0.48 ± 0.069). The equations were based exclusively on variations in DMI, and detected variations in this trait without taking into consideration individual differences in enteric methane emission caused by differences in fermentation and digestion capacity. Therefore, prediction equations of enteric methane emission from DMI are not adequate to estimate differences between animals.

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Data from 156 Nellore males were used to develop equations for the prediction of retail beef yield and carcass fat content, expressed as kilograms and as a percentage, from live animal and carcass measurements. Longissimus muscle area and backfat and rump fat thickness were measured by ultrasound up to 5 d before slaughter and fasted live weight was determined 1 d before slaughter. The same traits were obtained after slaughter. The carcass edible portion (CEP in kg and CEP% in percentage; n = 116) was calculated by the sum of the edible portions of primal cuts: hindquarter, forequarter, and spare ribs. Trimmable fat from the carcass boning process, with the standardization of about 3 mm of fat on retail beef, was considered to be representative of carcass fat content. Most of the variation in CEP was explained by fasted live weight or carcass weight (R(2) of 0.92 and 0.96); the same occurred for CEP% (R(2) of 0.15 and 0.13), and for CEP, the inclusion of LM area and fat thickness reduced the equation bias (lower value of Mallow's Cp statistics). For trimmable fat, most variation could be explained by weight or rump fat thickness. In general, the equations developed from live animal measurements showed a predictive power similar to the equations using carcass measurements. In all cases, the traits expressed as kilograms were better predicted (R(2) of 0.39 to 0.96) than traits expressed as a percentage (R(2) of 0.08 to 0.42).

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Empty body and carcass chemical compositions, expressed as content of water, ether extract, protein, minerals, and energy, were evaluated in Nellore bulls with different residual feed intakes (RFI). Forty-nine not castrated males, with 343 kg of average initial BW and 398 kg of average slaughter BW, were studied. Animals were divided in two subgroups: reference group (RG) and ad libitum feeding group. At the end of the adaptation period, animals of subgroup RG were slaughtered and the other animals were finished in individual pens for approximately 100 d, until they reached a subcutaneous fat thickness over the LM of 4 mm, and were slaughtered at an average age of 540 d. Body composition was obtained after grinding, homogenizing, sampling, analyzing, and combining blood, hide, head + feet, viscera, and carcass. Tissue deposition rates and chemical composition of gain were also measured based on gains estimated by comparative slaughter technique. No significant differences in slaughter BW (P = 0.8639), empty BW (P = 0.7288), HCW (P = 0.6563), or empty body and carcass rates of gain were observed between RFI groups, demonstrating that the low (-0.331 kg DM/d) and high (+0.325 kg DM/d) RFI animals presented similar body sizes and growth rates. No significant differences in empty body or carcass content of water, ether extract, protein, minerals, and energy were observed between the low and high RFI animals. And also there were no significant differences in empty BW or carcass gain, demonstrating that low and high RFI animals had a similar growth potential. More efficient animals (low RFI) consumed less feed than less efficient animals (high RFI) but presented similar body sizes, growth rates, and empty body and carcass chemical composition.

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Fifty-nine Nellore bulls from low and high residual feed intake (RFI) levels were studied with the objective of evaluating meat quality traits. Animals were slaughtered when ultrasound-measured backfat thickness reached 4mm, and samples of Longissimus were collected. A mixed model including RFI as fixed effect and herd and diet as random effects was used, and least square means were compared by t-test. More efficient animals consumed 0.730 kg dry matter/day less than less efficient animals, with similar performance. No significant differences in carcass weight, prime meat cuts proportion, chemical composition, pH, sarcomere length, or color were observed between RFI groups. Shear force, myofibrillar fragmentation index and soluble collagen content were influenced by RFI, with a higher shear force and soluble collagen content and a lower fragmentation index in low RFI animals. Feedlot-finished low RFI young Nellore bulls more efficiently convert feed into meat, presenting carcasses within quality standards.

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Real-time ultrasound is currently used for in vivo carcass evaluation of beef cattle. We estimated heritability and repeatability coefficients for ultrasound-measured carcass traits in Nelore cattle. We measured longissimus muscle area, backfat thickness, and rump fat thickness in male and female animals ranging in age from 10 to 26 months. The variance components were estimated by single-trait analysis using the derivative-free restricted maximum likelihood method, under an animal model. The complete data file included 3077 records of 1172 animals born between 2003 and 2008. Two analyses were performed using a repeatability model: a) all records of longissimus muscle area, backfat thickness, and rump fat thickness of animals aged 10 to 26 months, and b) considering two age periods (11 to 17 and 18 to 24 months). The heritability estimates ranged from 0.33 to 0.46 for longissimus muscle area, from 0.20 to 0.26 for backfat, and from 0.26 to 0.29 for rump fat, demonstrating that direct selection for these traits can provide genetic gain. The repeatability estimates were moderate, ranging from 0.42 to 0.73. The highest repeatability estimates were obtained for longissimus muscle area in both the first (0.70) and second (0.73) analyses. The repeatability estimates suggest that ultrasound measures are precise; higher precision was obtained for longissimus muscle area than for subcutaneous fat thickness. The latter could be obtained during periods of greater feed availability to increase precision.

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