ABSTRACT: Intake is a multifactorial process that is influenced by animal type, environmental factors, and diet characteristics. Sheep, especially, have specific eating habits, with a greater selection of ingested feed compared to cattle. Thus, predictive equations for dry matter intake (DMI) must constantly be reviewed. The objective of this study was to combine different adjustment factors to develop one continuous adjustment factor for predicting the DMI of pregnant, dry, and lactating ewes. The equations evaluated for non-lactation ewes accounts for metabolic body weight and weight gain, and the equation for lactating ewes includes milk production and its fat content. The database used in this study was pooled from hair sheep ewes, two to four years old, with controlled feeding, during the pregnancy and lactating physiological phases. For the overall predictions (gestating and lactating ewes), the adjusted DMI prediction had greater accuracy but lower precision than the unadjusted DMI prediction. However, adjusting DMI increased the adequacy of the prediction as the mean square error of prediction difference (ΔMSEP) decreased (p = 0.0328). Similarly, for gestating ewes, the adjusted predicted DMI had a lower ΔMSEP than the unadjusted predicted DMI (p < 0.001). For lactating ewes, no difference was detected between the adjusted and unadjusted predicted DMI based on the ΔMSEP statistics (p = 0.3672), but the assumption that peak milk was 28 days (default) worsened the predictability of the adjusted predicted DMI as it had lower precision and accuracy. Adjustments for predicted DMI of dry and lactating ewes are necessary to increase adequacy and precision.

ABSTRACT Lactation records from cows of the southwestern Paraná state, Brazil, form the dataset of this study. We applied the information-theoretic approach to evaluate the ability of the nonlinear Wood, Brody, Dijkstra, and Gamma functions to fit to these data by employing a two-step technique based on nonlinear mixed-effects models and generalized linear mixed-effects models. Wood's equation was fitted with the combination of a first-order autoregressive correlation structure and a variance function to account for heteroscedasticity. This version was the best choice to mimic lactation records. Some geometric attributes of Wood's model were deduced, mainly the ascending specific rate from parturition to peak milk yield and the descending specific rate as a measure of the lactation persistence of the milk yield at peak production. Breed and parity order of the cows were assumed as fixed effects to obtain a reliable model fitting process. Regardless of breed, first-order parity cows had greater persistency than their older counterparts, and the greater the ascending rate of milk yield from the parturition to the peak, the sharper the decrease in milk yield post-peak; therefore, the rates (absolute values) of ascending and descending phases correlated positively. Nonetheless, the actual estimated values of the descending phase rates are negative. Wood's equation was flexible enough to mimic either concave- and convex-shaped lactation profiles. The correlations between both peak milk yield and random estimates for β with total milk yield per lactation were positive. However, peak milk yield might not be the only variable used for ranking cows; the total milk yield integrates all information of the lactation profile through the estimated parameters of Wood's equation.

RESUMO Preparações de enzimas exógenas (atividade fibrolítica (FIB); 0,0; 0,6; 1,2; 1,8 e 2,4 mg/ml do volume de líquido incubado; atividade amilolítica (AMZ); 0,0; 0,05; 0,10; 0,15 e 0,20 mg/ml do volume de líquido incubado; atividade proteolítica (PRO); 0,0; 0,05; 0,10; 0,15 e 0,20 mg/ml do volume de líquido incubado) incubado in vitro. Os efeitos de fermentação foram avaliados com base na produção de gás acumulado, parâmetros cinéticos e, perfil de fermentação usando a técnica de fermentação in vitro. O líquido ruminal foi obtido de dois ovinos Santa Inês canulados no rúmen, alimentados com dieta relação volumoso:concentrado de 20:80. A produção de gás acumulada foi durante 96 h de incubação, mensurados em 18 tempos diferentes. Após a incubação foi avaliado pH, digestibilidade da material seca (DMS), digestibilidade da material orgânica (DMO), energia metabolizável (EM), fator de partição (FP96), rendimento de gás (RG24), ácidos graxos de cadeia curta (AGCC), e produção de proteína microbiana (PPM). O incremento de doses linear de FIB diminuiu (P<0,05) o lag time sem afetar outros parâmetros cinéticos. No entanto, adição de FIB aumentou a produção de gás acumulado, resultando em incremento na DMS, DMO, EM, RG24 e AGCC. A adição de AMZ diminuiu linearmente (P<0,05) lag time e incrementou (P<0,05) produção de gás nos tempos iniciais de incubação sem alterar o perfil de fermentação. A inclusão de PRO não afetou (P>0,05) os parâmetros avaliados. As adições de preparações enzimáticas exógenas com atividades fibrolíticas alteram fermentação ruminal in vitro de dieta de alta níveis de concentrado.

SUMMARY Exogenous enzyme preparations (fibrolytic activity (FIB), 0, 0.6, 1.2, 1.8, and 2.4 mg/ml liquid volume incubated; amylolytic activity (AMZ), 0, 0.05, 0.10, 0.15, and 0.20 mg/ml liquid volume incubated; proteolytic activity (PRO), 0, 0.05, 0.10, 0.15, and 0.20 mg/ml liquid volume incubated) were incubated in vitro. Their fermentation effects were assessed based on accumulated gas production, kinetic parameters, and fermentation profile using the technique of gas fermentation. Ruminal liquid was obtained from two rumen cannulated Santa Inês sheep, fed a diet with roughage-to-concentrate ratio of 20:80. Accumulated gas production was during 96 h of incubation, measured at 18 different times. After incubation, pH, dry matter degradability (DMD), organic matter in vitro digestibility (OMD), metabolisable energy (ME), partitioning factor (PF96), gas yield (GY24), short chain fatty acids (SCFA), and microbial protein production (MCP) were evaluated. Increasing FIB dose linearly decreased (P<0.05) lag time without affecting others kinetic parameters. However, FIB increased the accumulated gas production, resulting in improved DMD, OMD, ME, GY24 and SCFA. The addition of AMZ decreased linearly (P<0.05) lag time and increased (P<0.05) gas production on initial times of incubation without altering the fermentation profile. The inclusion of PRO did not affect (P>0.05) the evaluated parameters. The addition of these exogenous enzyme preparations with fibrolytic activity altered ruminal fermentation in vitro of diets containing high levels of concentrates.

ABSTRACT Despite tremendous advancements in the livestock sector, additional opportunities exist to improve even further livestock production around the globe. Forecasting is not an exact science and it relies heavily on past and current knowledge. Improvements in the nutritional sciences (both human and animal) include a better understanding of agents that cause deterioration of human health, improving the quality of animal products, applying effective fetal programming, developing new feeds and feeding strategies, and revisiting longstanding technologies. Improvements in the understanding of the rumen microbiome will enable scientists to increase the fermentation efficiency and, hopefully, select microbial species of greater interest. Improvements in remote sensing and ground-based instrumentation, telecommunications, and weather forecasting technologies will aid in the continued improvements of early warning systems to assist livestock producers in reducing risk and adapting to the changing environment. Broad utilization of sensor technologies will allow scientists to collect real-time data and, when combined with mathematical modeling, decision support systems will become an indispensable managerial tool for livestock production with the possibility to automate low-level decisions on the farm, such as supplementation schedules, sorting of animals, and early detection of disease and outbreaks. The identification of feed efficient animals may be the single most impactful advancement towards long-term livestock sustainability and the promise of feeding the world animal products. We contend that education across societal levels is the first step to solve current and future challenges of the livestock industry. The dilemma has been who will take the first step forward.

ABSTRACT If the world population continues to increase exponentially, wealth and education inequalities might become more pronounced in the developing world. Thus, offering affordable, high-quality protein food to people will become more important and daunting than ever. Past and future challenges will increasingly demand quicker and more innovative and efficient solutions. Animal scientists around the globe currently face many challenging issues: from ensuring food security to prevent excess of nutrient intake by humans, from animal welfare to working with genetic-engineered animals, from carbon footprint to water footprint, and from improved animal nutrition to altering the rumen microbiome. Many of these issues are most likely to continue (or to exacerbate further) in the coming years, but animal scientists have many options to surmount the obstacles posed to the livestock industry through tools that are presently available. The frequency, interval, and intensity of livestock impacts, however, differ across regions, production systems, and among livestock species. These differences are such that the generalization of these issues is impossible and dangerous. For instance, when we discuss domesticated ruminant nutrition in the human food context, we look for the most efficient ruminant feeds that complement, rather than compete with, grains grown for direct human nutrition. Greater scrutiny and standardization are needed when developing and validating methodologies to assess short- and long-term impacts of livestock production. Failure in correctly quantifying these impacts may lead to disregard and disbelief by the livestock industry, increased public confusion, and the development of illusionary solutions that may amplify the impacts, thereby invalidating its original intent.

Abstract: Breeds of hair sheep play an important role in animal production in tropical regions; however, their nutrient requirements have not been determined to the same extent as those of wool breeds. Due to the environmental conditions of the tropical regions (climate, quality and availability of feedstuffs), it is reasonable to hypothesize that energy requirements and efficiency of utilization of metabolizable energy (ME) may be different between hair and wool breeds of sheep. Information available on hair sheep shows a large discrepancy regarding energy requirements. Based on available literature data for female sheep, ME requirement for maintenance (MEm) was 419±129 kJ/ kg BW0.75 (mean ± standard deviation) and for the male 388±123 kJ/kg BW0.75. The requirement of net energy for gain (NE g ) ranged from 8.75 to 14.06 kJ/g (11.63±1.86 kJ/g). The efficiency of ME utilization for maintenance (km ) and gain (kg ) were 0.66±0.02 and 0.42±0.04, respectively. This review indicated also that information is scarce for adult ewes at different physiological stages (maintenance, lactation, or pregnancy). More work is required regarding estimates of nutrient requirements of hair sheep in order to develop adjustments to existing nutrition models to predict animal’s response under the conditions prevailing in the tropics (animal type, environment and feedstuffs available).

Resumen: Los ovinos de pelo juegan un papel importante en la producción animal en las regiones tropicales; sin embargo, sus requerimientos nutricionales no se han determinado en la misma medida que los de las razas de lana. Debido a las condiciones ambientales de las regiones tropicales (clima, calidad y disponibilidad de alimentos), es razonable la hipótesis de que los requerimientos de energía metabolizable (EM) y la eficiencia de utilización de la EM pueden ser diferentes entre los ovinos de razas de pelo y de lana. La información disponible en ovinos de pelo muestra una gran discrepancia en cuanto a las necesidades de energía. Con base en datos de la literatura disponible para hembras ovinas, el requerimiento de EM para mantenimiento (EMm) fue de 419±129 kJ/kg PC0.75 (media ± desviación estándar) y para machos fue 388±123 kJ/kg BW0.75. El requerimiento de energía neta para la ganancia de peso (EN g ) varió de 8.75 a 14.06 kJ/g (11.63±1.86 kJ/g). Las eficiencias de utilización de la EM para el mantenimiento (k m ) y la ganancia de peso (kg ) fueron de 0.66±0.023 y 0.42±0.044, respectivamente. Esta revisión también indicó que la información es escasa para ovejas adultas en diferentes etapas fisiológicas (mantenimiento, lactancia y gestación). Se requiere más trabajo de investigación con relación a la estimación de las necesidades de energía de los ovinos de pelo, con el fin de hacer ajustes a los modelos existentes de alimentación, con el objetivo de predecir la respuesta de los animales con la condición que prevalece en los trópicos (tipo de animal, medio ambiente y alimentos disponibles).

Protein supply and requirements by ruminants have been studied for more than a century. These studies led to the accumulation of lots of scientific information about digestion and metabolism of protein by ruminants as well as the characterization of the dietary protein in order to maximize animal performance. During the 1980s and 1990s, when computers became more accessible and powerful, scientists began to conceptualize and develop mathematical nutrition models, and to program them into computers to assist with ration balancing and formulation for domesticated ruminants, specifically dairy and beef cattle. The most commonly known nutrition models developed during this period were the National Research Council (NRC) in the United States, Agricultural Research Council (ARC) in the United Kingdom, Institut National de la Recherche Agronomique (INRA) in France, and the Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia. Others were derivative works from these models with different degrees of modifications in the supply or requirement calculations, and the modeling nature (e.g., static or dynamic, mechanistic, or deterministic). Circa 1990s, most models adopted the metabolizable protein (MP) system over the crude protein (CP) and digestible CP systems to estimate supply of MP and the factorial system to calculate MP required by the animal. The MP system included two portions of protein (i.e., the rumen-undegraded dietary CP - RUP - and the contributions of microbial CP - MCP) as the main sources of MP for the animal. Some models would explicitly account for the impact of dry matter intake (DMI) on the MP required for maintenance (MPm; e.g., Cornell Net Carbohydrate and Protein System - CNCPS, the Dutch system - DVE/OEB), while others would simply account for scurf, urinary, metabolic fecal, and endogenous contributions independently of DMI. All models included milk yield and its components in estimating MP required for lactation (MPl) and calf birth weight and some form of an empirical, exponential equation to compute MP for pregnancy (MPp). The MP required for growth (MPg) varied tremendously among the original models and their derivative works mainly due to the differences in computing growth pattern and the composition of the gain. The calculation of MCP differs among models; some rely on the total digestible nutrient (TDN; e.g., NRC, CNCPS level 1) intake to estimate MCP, while others use fermentable organic matter (FOM; e.g., INRA, DVE/OEB), fermentable carbohydrate (e.g., CNCPS level 2, NorFor), or metabolizable energy (ME; e.g., ARC, CSIRO, Rostock). Most models acknowledged the importance of ruminal recycled N, but not all accounted for it. Our Monte Carlo simulation indicated the prediction of most models for required MPl overlapped, confirming uniformity among models when predicting requirements for lactating animals, but a large variation in required MPg for growing animals exists.

The Cornel Net Carbohydrate and Protein System model version 5.0 was assessed as for its prediction of dry matter intake and milk production of grazing lactating Holstein × Zebu cows. Eight lactating cows grazing elephant grass (Pennisetum purpureum, Schum., cv. Napier) were used in two experiments of 30 days each. The experimental design was of randomized blocks (subplots). Dry matter intake was estimated using the chromium oxide and in vitro dry matter digestibility techniques. The estimated dry matter intake was compared with the values predicted by the model. Extrusa samples of the elephant grass pasture were obtained from a cow with esophageal fistula during nine days in each experimental period. Carbohydrate and nitrogenous fractions were analyzed and the degradation rate of carbohydrate was estimated by the gas production technique. The inputs referring to the animals (body weight, age, milk production, milk composition and breed type), to the environment (temperature, relative humidity of air and management condition) and to feeds chemical composition in each experimental period were inserted in the model. The model was accurate on the prediction of dry matter intake, considering that the mean values obtained by the chromium oxide technique and predicted by model (2.45 and 2.46% of body weight, respectively) did not differ significantly from each other. However, the model underestimated the observed milk production in 62.4%, where the metabolizable energy was the first limiting. These results demonstrate the need for studies that provide the development of a database for tropical foods (chemical composition and dynamics of rumen fermentation) and fitting of the model to the tropical conditions, for its appropriate application in formulation of diets and supplements in these regions.

The objective of this study was to evaluate the use of different mathematical models to describe growth of grazing beef cattle. Data of 20 Nellore bulls with initial weight of 129±28.1 kg and final weight of 405±62.0 kg were used. The animals were randomly divided into four plots and placed on B. decumbens Stapf pastures. Three plots received concentrate supplement with different protein profiles and the fourth plot received only mineral supplement. Animals were weighed every 28 days to design growth curve of full body weight. Five mathematical models were evaluated to describe animal growth: Multiphase, Linear, Logarithmic, Gompertz and Logistic models. Assessment of adequacy of the models was performed by using coefficient of determination, simultaneous F-test for identity of parameters, concordance correlation coefficient, root of the mean square error of prediction and partition of the mean square error of prediction. The analysis of the pairwise mean square error of prediction and the delta Akaike's information criterion were used to compare the models for accuracy and precision. Evaluation of all the tested models showed that all of them were able to predict variability among animals. However, Gompertz, Logarithmic and Logistic models created individual predictions that were not satisfactory. Models differed from each other concerning accuracy and precision; the best were in the following order: Multiphase, Linear, Gompertz, Logarithmic and Logistic. The Multiphase model was more efficient than the others for description of grazing beef cattle growth.

Avaliou-se nesta pesquisa o efeito da inclusão de óxido de cálcio (cal) e dos tempos de exposição da cana-de-açúcar à cal sobre o desempenho de novilhas Nelore, a digestibilidade dos componentes da dieta e a síntese de proteína microbiana ruminal (PBMic) e comparou-se o dióxido de titânio ao óxido crômico para estimar o consumo individual de concentrado. Utilizaram-se 30 fêmeas Nelore com aproximadamente 24 meses de idade e pesos médios de 285 ± 31 kg, alojadas em seis baias coletivas. As dietas foram arranjadas em esquema fatorial 3 × 2, com três níveis de cal (0; 0,5 ou 1% na matéria natural) e dois tempos de exposição (zero e três dias). Os tempos de exposição da cana-de-açúcar à cal não tiveram efeitos sobre as quantidades de nitrogênio microbiano, os consumos de matéria seca (MS) e orgânica (MO), proteína bruta (PB), total de nutrientes digestíveis e o ganho médio diário, porém influenciaram os consumos de extrato etéreo (EE), fibra em detergente neutro corrigida para cinzas e PB (FDNcp) e carboidratos não-fibrosos (CNF). Os níveis de cal influenciaram de forma linear decrescente os consumos de MO, FDNcp, CNF e NDT, e o GMD. Todavia, não foram observados efeitos dos indicadores (dióxido de titânio e óxido crômico) nem interações do tempo de exposição e do nível de cal sobre os consumos de MS, MO, PB, EE, FDNcp, CNF e NDT. Interações significativas do tempo de exposição e do nível de inclusão de cal foram observadas para as digestibilidades aparentes totais da MS, MO, PB e FDN e para o teor de NDT. Os indicadores dióxido de titânio e óxido crômico são igualmente efetivos para estimar os consumos individuais de concentrado de bovinos alimentados em grupo. O fornecimento de cana-de-açúcar armazenada durante três dias sem cal não altera o desempenho de novilhas em crescimento.

It was evaluated in this work the effects of levels of inclusion and exposure times of sugarcane to calcium oxide on the performance of Nellore heifers, digestibility of dietary components and synthesis of ruminal microbial protein and it was compared titanium dioxide to chromium oxide to estimate the individual intake of concentrate. It was used 30 Nellore females at approximately 24 months of age and average body weight of 285 ± 31 kg and age of 24 months housed in six pens (50 m² approximately), each one of them with five animals (feeding group). The diets were allocated in a 3 × 2 factorial arrangement, containing three levels of calcium oxide (0; 0.5 and 1.0% of sugarcane fresh matter) and two levels of exposure time (0 and 3 days). There were no effects of calcium oxide exposure time on the intake of microbial nitrogen, dry matter (DM), organic matter (OM), crude protein (CP) and total digestible nutrients (TDN) and daily weight gain, but, it affected the intake of ether extract (EE), neutral detergent fiber corrected for ash and CP contamination (NDFcp), and nonfiber carbohydrate (NFC). The levels of whitewash decreased linearly the intake of OM, NDFap, NFC, and ADG. However, it was not observed effects of the markers (titanium dioxide and chromic oxide) nor interactions among exposure time and level of whitewash on intakes of DM, CP, EE, NDFap, NFC and TDN. Significant interactions between exposure time and level of inclusion of whitewash were observed for total aparent digestibility of DM, OM, and NDF and for content of TDN. Titanium oxide and chromic oxide are equally effective for estimating individual intakes of concentrate by bovine fed in group. Supply of sugar cane stored for three days without whitewash does not change performance of growing heifers.

N-alcanos foram extraídos de alimentos, sobras e fezes de bovinos com a utilização de seringas plásticas descartáveis de 5mL como um material alternativo às colunas descartáveis que são normalmente utilizadas para a fase de extração líquido-sólido. Para ambos os métodos, os n-alcanos (cadeias de carbono entre 31 e 36 átomos) foram identificados usando cromatografia gasosa. As regressões lineares entre métodos foram: 1) fezes: coluna Alcano=2,63+0,92×seringa Alcano [r²=0,94, raiz do quadrado médio do erro (RMSE)=13,7mg kg-1, n=30], em que o intercepto e o coeficiente angular não diferiram simultaneamente de zero e um (P>0,05), respectivamente; 2) alimentos: coluna Alcano=0,36+1,12×seringa Alcano (r²=0,85, RMSE=1,9mg kg-1, n=21), em que o intercepto e o coeficiente angular não diferiram simultaneamente de zero e um (P>0,05), respectivamente; 3) sobras: coluna Alcano=0,49+0,92×seringa Alcano (r²=0,98, RMSE=1,2mg kg-1, n=15), em que o intercepto e o coeficiente angular não diferiram simultaneamente de zero e um (P>0,05), respectivamente. Materiais com baixas concentrações de alcanos podem afetar os valores obtidos em ambos os métodos de extração. Esses resultados sugerem que as seringas plásticas descartáveis podem ser uma alternativa viável às colunas, reduzindo o custo analítico.

Saturated aliphatic hydrocarbons (n-alkanes) were extracted from feed, orts, and bovine fecal samples using disposable, plastic 5mL-syringes as an alternative material to disposable columns, which are normally used in the liquid-solid extraction phase of n-alkanes. For both methods, the n-alkane extracts (carbon chain length between 31 and 36 atoms) were identified using gas chromatography. The linear regression between methods were: 1) feces: column Alkane=2.63+0.92×syringeAlkane [r²=0.94, square root of the mean square error (RMSE)=13.7mg kg-1, n=30] from which the intercept and the slope did not simultaneously differ from zero and unity (P>0.05), respectively; 2) feeds: column Alkane=0.36+1.12×syringeAlkane (r²=0.85, RMSE=1.9mg kg-1, n=21) from which the intercept and the slope did not simultaneously differ from zero and unity (P>0.05), respectively; 3) orts: column Alkane=0.49+0.92×syringeAlkane (r²=0.98, RMSE=1.2mg kg-1, n=15) from which the intercept and the slope did not simultaneously differ from zero and unity (P>0.05), respectively. Materials with low concentration of n-alkanes may affect the values obtained in both methods. These results suggested that disposable plastic syringes might be a viable alternative to columns thus, reducing analytical costs.

A mechanistic model that predicts nutrient requirements and biological values of feeds for sheep (Cornell Net Carbohydrate and Protein System; CNCPS-S) was expanded to include goats and the name was changed to the Small Ruminant Nutrition System (SRNS). The SRNS uses animal and environmental factors to predict metabolizable energy (ME) and protein, and Ca and P requirements. Requirements for goats in the SRNS are predicted based on the equations developed for CNCPS-S, modified to account for specific requirements of goats, including maintenance, lactation, and pregnancy requirements, and body reserves. Feed biological values are predicted based on carbohydrate and protein fractions and their ruminal fermentation rates, forage, concentrate and liquid passage rates, and microbial growth. The evaluation of the SRNS for sheep using published papers (19 treatment means) indicated no mean bias (MB; 1.1 g/100 g) and low root mean square prediction error (RMSPE; 3.6 g/100g) when predicting dietary organic matter digestibility for diets not deficient in ruminal nitrogen. The SRNS accurately predicted gains and losses of shrunk body weight (SBW) of adult sheep (15 treatment means; MB = 5.8 g/d and RMSPE = 30 g/d) when diets were not deficient in ruminal nitrogen. The SRNS for sheep had MB varying from -34 to 1 g/d and RSME varying from 37 to 56 g/d when predicting average daily gain (ADG) of growing lambs (42 treatment means). The evaluation of the SRNS for goats based on literature data showed accurate predictions for ADG of kids (31 treatment means; RMSEP = 32.5 g/d; r2= 0.85; concordance correlation coefficient, CCC, = 0.91), daily ME intake (21 treatment means; RMSEP = 0.24 Mcal/d g/d; r2 = 0.99; CCC = 0.99), and energy balance (21 treatment means; RMSEP = 0.20 Mcal/d g/d; r2 = 0.87; CCC = 0.90) of goats. In conclusion, the SRNS for sheep can accurately predict dietary organic matter digestibility, ADG of growing lambs and changes in SBW of mature sheep. The SRNS for goats is suitable for predicting ME intake and the energy balance of lactating and non-lactating adult goats and the ADG of kids of dairy, meat, and indigenous breeds. The SRNS model is available at http://nutritionmodels.tamu.edu.

N-alcanos têm sido usados como marcadores internos em ensaios de digestibilidade com ruminantes e não-ruminantes por mais de 20 anos. Neste estudo dois ensaios foram conduzidos para avaliar: 1) a taxa de liberação de alcanos de cápsulas de liberação controlada inseridas no rúmen de novilhos fistulados em pastejo ou mantidos em gaiolas de metabolismo e; 2) o uso de n-alcanos para estimar o consumo voluntário de forragem dos novilhos mantidos em gaiolas de metabolismo. Seis novilhos Nelore, fistulados no rúmen foram colocados individualmente em gaiolas de metabolismo e alimentados com dietas variando a relação forragem:concentrado (80:20, 60:40 e 40:60, respectivamente). A silagem de milho foi a única fonte de forragem. No ensaio de pastejo, os animais foram avaliados sob três regimes de alimentação (Brachiaria brizantha cv. Marandu sem ou com suplementação com concentrado na proporção de 0,3 ou 0,6% do peso vivo, PV). A taxa de liberação de n-alcanos (mg d-1) foi medida multiplicando-se a distância percorrida pelo êmbolo da cápsula (mm d-1) após 3, 7, 10, 13 e 17 dias de inserção no rúmen, pela concentração de alcanos dos tabletes das cápsulas (mg mm-1). Houve um efeito de dia (P < 0,05) sobre a taxa de liberação para os animais em gaiolas de metabolismo e em pastejo. Contudo, não houve efeito (P > 0,05) do regime de alimentação ou da interação regime da alimentação x dia da medida. Os valores foram 6,9 e 14,8% menores do que o proposto pelo fabricante para o C32 quando os animais foram mantidos em gaiolas de metabolismo e pastejo, respectivamente. Os valores para o C36 foram 15,9 e 23,1% menores para os animais em gaiolas de metabolismo e pastejo, respectivamente. A liberação média do C32 dentro do rúmen foi 372 e 341 mg d-1 para os animais em gaiolas de metabolismo e pastejo, respectivamente. Não houve diferença na taxa de liberação entre os animais em gaiolas de metabolismo e em pastejo e a regressão linear usando os dois conjuntos de dados resultou em uma taxa de liberação de 345 mg dia-1 do C32. Os consumos estimados de forragem usando o par C33:C32 de alcanos não diferiu dos consumos observados para os animais em gaiolas de metabolismo. Estes resultados indicam que as cápsulas de liberação controlada podem ser utilizadas para estimar o consumo de forragem em animais estabulados mas a taxa de liberação e a concentração de alcanos nas cápsulas devem ser medidas para gerar predições mais exatas.

N-alkanes have been used as internal markers in digestibility trials with ruminants and non-ruminants for more than 20 years. In this study, two trials were conducted under different feeding regimes to (i) evaluate the release rate of n-alkanes of controlled-release capsules in the rumen of rumen-cannulated steers either grazing or restrained in metabolic stalls and (ii) estimate voluntary forage intake of the same steers in metabolic stalls. Six rumen-cannulated Nelore steers were allocated to individual metabolic stalls and were fed diets with varying forage to concentrate ratios (80:20, 60:40, and 40:60; respectively). Corn silage was the only forage source. In the grazing trial, the same steers were evaluated under three feeding managements (Brachiaria brizantha cv. Marandu unsupplemented or supplemented with either 0.3% or 0.6% of live weight of a concentrate). The release rate of the n-alkanes (mg d-1) was measured by multiplying the distance (mm d-1) the capsule plunger travelled after 3, 7, 10, 13, and 17 d of rumen infusion to the n-alkanes concentration of capsule tablets (mg mm-1). There was an effect of day of measurement (P < 0.05) on the release rate of animals restrained in metabolic stalls and grazing. However, no effect (P > 0.05) of feeding management or feeding management x day of measurement interaction was observed. Values averaged 6.9 and 14.8%, lower than proposed by the manufacturer for the C32, when animals were restrained in metabolic stalls and at grazing, respectively. Similarly, the values of C36 were 15.9 and 23.1% lower for those animals in metabolic stalls and grazing, respectively. The average release rate of C32 into the rumen was 372 and 341 mg d-1 for animals restrained in metabolic stalls and grazing, respectively. There was no difference in the release rate between feeding regimes (P > 0.05). The regression of the pooled data indicated an average release rate of 345 mg d-1. Estimated values of voluntary forage intake using the pair of C33:C32 n-alkanes using the animals restrained in metabolic stalls was not different from those effectively measured (P > 0.05). These findings indicated that n-alkanes capsules can be used to estimate forage intake of stall-fed animals, but concentration of n-alkanes in capsules and the release rate has to be measured before dosing animals to accurately predict intake.

Os n-alcanos têm sido utilizados para estimar o consumo de matéria seca, a digestibilidade e a composição da dieta de animais em pastejo. O objetivo desse estudo foi comparar as técnicas de óxido crômico e n-alcanos usadas para estimar o consumo de forragem. Vinte vacas lactantes cruzas Holandês × Gir recebendo duas fontes de gordura (tratamentos: CLA (ácido linoleico conjugado) ou Megalac (controle)) mais 4 kg de concentrado foram dosadas com n-alcanos e óxido crômico para estimar o consumo de estrela-africana (Cynodon nlemfüensis Vanderyst var. nlemfüensis). A digestibilidade in vitro da matéria seca da estrela africana e do concentrado foi usada para estimar o valor nutritivo da dieta. Foram quantificados n-alcanos entre C23 e C36 na dieta e fezes. A regressão entre exigência e o consumo de energia metabolizável (EMr, Mcal d-1) derivada da matéria seca da forragem calculada usando óxido de cromo foi ConsumoCr = 19,1 + 0,62 EMr (R² = 0,27) e a mesma relação estimada usando a relação C35:C36 de n-alcanos foi ConsumoC35:C36 = 9,3 + 0,77 EMr (R² = 0,52). Houve efeito de tratamento na concentração fecal de óxido de cromo com variação diária e entre turnos. Para técnica de n-alcanos, houve efeito de tratamento e período e efeito linear de dia de coleta nas concentrações fecais do C35. Para as concentrações fecais do C36, houve efeito de tratamento e um efeito quadrático de dia de coleta. Não houve efeito de tratamento na concentração fecal da relação C35:C36, mas houve efeito de turno e efeito linear de dia de coleta. As estimativas do consumo de forragem obtidas com os dois marcadores foram diferentes, mas aquela obtida com o par de alcanos C35:C36 foi mais precisa que aquela obtida com o óxido crômico e a digestibilidade in vitro. O manejo dos animais experimentais pode ter influenciado a concentração dos marcadores nas fezes, determinando variações e inconsistências que explicam parcialmente a falta de acurácia das estimativas.

The n-alkanes have been used to estimate forage dry matter intake, digestibility and the diet composition in grazing animals. The objective this study was to compare chromium oxide and n-alkanes techniques used to estimate forage intake. Twenty lactating dual-purpose cows receiving two sources of fat (treatments: conjugated linoleic acid (CLA) or Megalac (control)) plus 4 kg of concentrate were dosed with n-alkanes and chromium oxide to estimate the intake of stargrass (Cynodon nlemfüensis Vanderyst var. nlemfüensis). The in vitro dry matter (DM) digestibility of the stargrass and concentrate were used to estimate the nutritive value of the digesta. The n-alkanes between C23 and C36 were quantified in the digesta and feces. The regression between metabolizable energy requirement (MEr, Mcal d-1) and supply derived from forage DM intake estimated using chromium oxide was ME IntakeCr = 19.1 + 0.62 MEr (R² = 0.27) and the same relationship estimated using C35:C36 n-alkane ratio was ME IntakeC35:C36 = 9.3 + 0.77 MEr (R² = 0.52). There was a treatment effect on fecal concentration of chromium oxide with daily and period variations. For the n-alkane technique, treatment and period effects and a linear effect of day of collection on the fecal concentrations of C35 were found. For C36 fecal concentrations, there was a treatment effect and a quadratic effect of collection day. There was no treatment effect on the fecal concentration of the C35:C36 ratio, but a period effect and a linear effect of day of collection were found. Estimates of daily intake using the two markers were different, but those obtained using the C35:C36 pair of n-alkanes were more precise than those obtained using chromium oxide and in vitro digestibility. Management of experimental animals could have influenced the concentration of markers in the feces, determining variations and inconsistencies that partially explain the inaccuracy of the estimates.

Modelos matemáticos podem ser utilizados para melhorar a performance, reduzir os custos de produção, e minimizar a exceção de nutrientes através de melhores estimativas da exigência e utilização de alimentos em vários cenários produtivos. Modelos matemáticos podem ser classificados em cinco ou mais categorias dependendo da sua natureza. Um dos maiores problemas na construção de modelos matemáticos é o nível de agregação das equações. Os passos mais importantes são o estabelecimento do propósito do modelo, determinação da melhor combinação de equações empíricas e teóricas para representar das funções fisiológicas dado a disponibilidade de banco de dados, informações tipicamente encontradas a nível de campo, e os benefícios e riscos associados com o uso do modelo na produção animal. Nesse artigo são discutidos cinco sistemas de alimentação padrão de ruminantes mais utilizados atualmente. Eles compartilham de conceitos de exigência e disponibilidade de energia e nutrientes, mas diferem na estrutura e como esses conceitos são abordados. Modelos animais podem ser utilizados para vários propósitos, entre eles uma simples descrição de observações, estimativa de respostas à diferentes manejos, e caracterização de mecanismos biológicos. Dependendo dos objetivos, várias alternativas podem ser utilizadas na construção do modelo matemático, entre elas, equações algébricas simples, equações de relação puramente estatísticas, ou até modelos mecanicistas e dinâmicos. Esse último favorece o uso da quantidade crescente de informações cientificas relacionadas à biologia animal. O desenvolvimento contínuo desses tipos de modelos juntamente com as inovações computacionais e de softwares permitem avanços na forma de uso dos conhecimentos fundamentais de nutrição animal de forma que a produção animal possa ser melhor explorada ao mesmo tempo reduzindo-se o impacto ambiental.

Mathematical models can be used to improve performance, reduce cost of production, and reduce nutrient excretion by accounting for more of the variation in predicting requirements and feed utilization in each unique production situation. Mathematical models can be classified into five or more categories based on their nature and behavior. Determining the appropriate level of aggregation of equations is a major problem in formulating models. The most critical step is to describe the purpose of the model and then to determine the appropriate mix of empirical and mechanistic representations of physiological functions, given development and evaluation dataset availability, inputs typically available and the benefits versus the risks of use associated with increased sensitivity. We discussed five major feeding systems used around the world. They share common concepts of energy and nutrient requirement and supply by feeds, but differ in structure and application of the concepts. Animal models are used for a variety of purposes, including the simple description of observations, prediction of responses to management, and explanation of biological mechanisms. Depending upon the objectives, a number of different approaches may be used, including classical algebraic equations, predictive empirical relationships, and dynamic, mechanistic models. The latter offer the best opportunity to make full use of the growing body of knowledge regarding animal biology. Continuing development of these types of models and computer technology and software for their implementation holds great promise for improvements in the effectiveness with which fundamental knowledge of animal function can be applied to improve animal agriculture and reduce its impact on the environment.