Exigências Nutricionais de Zebuínos Puros e Cruzados - BR-CORTE

Filho, Sebastião de Campos Valadares; Silva, Luiz Fernando Costa e; Gionbelli, Mateus Pies; Rotta, Polyana Pizzi; Marcondes, Marcos Inácio; Chizzotti, Antônio; Prados, Laura Franco

doi:10.5935/978-85-8179-111-1.2016b001

Cited by 92 publications

(110 citation statements)

References 177 publications

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“…Figure 3 shows two distinct groups of model predictions: AFRC (1993) and CSIRO (2007) had similar total MP predictions (r = 0.919), whereas BRCorte (Valadares Filho et al, 2010), CNCPS (Fox et al, 2004), andINRA (2007) overlapped to some extent with correlation coefficients greater than 0.94. The BW had greater influence in the BR-Corte (Valadares Filho et al, 2010), CNCPS (Fox et al, 2004), andINRA (2007) than in the AFRC (1993) and CSIRO (2007) in estimating total MP as shown by the bar plots in Figure 3. Figure 4 shows that all models predicted total MP required for lactating dairy cows similarly and that MY was clearly the most influential independent variable.…”

Section: Sensitivity Analysesmentioning

confidence: 99%

Models of protein and amino acid requirements for cattle

et al. 2015

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-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.

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Section: Sensitivity Analysesmentioning

confidence: 99%

Models of protein and amino acid requirements for cattle

et al. 2015

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“…É sabido que o PC é um determinante primário do consumo e, neste contexto, quanto maior o PC maior será a capacidade de ingestão de alimentos que também pode ser explicada pela maior demanda energética e protéica para mantença destes animais. Segundo equações de predição de CMS recomendadas pelo BR-CORTE (VALADARES FILHO et al, 2010), as estimativas do CMS em função do ganho de peso mostrara uma curva com três segmentos distintos: fase de adaptação; platô; e declínio, as quais correspondem a adaptação ao confinamento ou ao ambiente, ao aumento do PC, e ao aumento do conteúdo de gordura corporal. De fato, a concentração de gordura na carcaça começa em ritmo lento no início do período de alimentação, mas acumula-se em um ritmo mais rápido em relação ao final do período de alimentação, (SIMPFENDORFER, 1974 No tocante ao GPT, os menores valores observados nos animais mais pesados ao início do confinamento pode ser em parte explicado pela possível maior taxa de deposição de tecido adiposo que aumenta gradativamente após redução da taxa de deposição de tecido muscular.…”

Section: Resultsunclassified

Eficiência bioeconômica de bovinos de corte em confinamento

Nichele

Moraes

Araújo

et al. 2015

Rev. bras. saúde prod. anim.

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RESUMOObjetivou-se avaliar o consumo de matéria seca, o ganho de peso total e a eficiência bioeconômica de bovinos de corte terminados em confinamento com diferentes pesos corporais ao início do confinamento nos períodos de seca e de chuvas. Registros de CMS, ganho de peso total (GPT), conversão alimentar (CA), eficiência alimentar (EA), tamanho de lote e tempo de permanência (TP) no confinamento de 13.686 bovinos de corte machos com predominância de sangue nelore terminados no ano de 2009, foram utilizados para discriminar possíveis diferenças quanto ao peso de entrada (até 350kg ou acima de 350kg) e da época do ano (seca ou águas). Observou-se ausência de efeitos da época do ano (chuvas x seca) para o CMS e o GPT dos animais independente da classe de peso que apresentaram diferenças, com os animais mais leves apresentando menores CMS e maiores GPT e, consequentemente, maior eficiência que os animais mais pesados ao início do confinamento. O valor de compra por cabeça interfere altamente sobre valor por cabeça na saída do confinamento que é dependente do consumo de matéria seca e do ganho de peso total para maximização da receita. Palavras-chave:consumo, desempenho, eficiência alimentar, variável canônica SUMMARYIt was aimed to evaluate the dry matter intake (DMI), total weight gain (TWG) and the bioeconomic efficiency of feedlot beef cattle with different body weights in dry and rainy season. Records of DMI, TWG, feed conversion (FC), feed efficiency (EA), lot size and feedlot length of stay (LS) of 13,686 beef cattle males with predominance of Nelore blood finished the year 2009, were used to discriminate possible differences in input weight (up to 350kg or above 350kg) and the season (dry or water). There was no effect on the season (rainy x dry) to DMI and TWG of independent animals, regardless of weight class that showed differences, with the lighter animals presented lower DMI and higher TWG and therefore higher efficiency than animals with higher higher starting weights of feedlot. The purchase price per head affects highly on value per head for the exit of feedlot which is dependent on dry matter intake and total weight gain for maximizing revenue.

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“…The pdDM was calculated by the equation pdDM = [0.98 × (100 -NDF) + (NDF -iNDF)], in which NDF is the neutral detergent fiber, and iNDF is the indigestible neutral detergent fiber. The iNDF was obtained after in situ incubation of a whole plant sample for 288 hours in the rumen of a fistulated bovine (Valadares Filho et al, 2010). The NDF was calculated using the 2002.04 method described by Latimer Jr. (2012).…”

Section: Methodsmentioning

confidence: 99%

“…The diet was formulated to allow of 1.3 kg average daily weight gain, as described by Valadares Filho et al (2010). The following parameters were determined: DMI, in kg per day, and as a percentage of body weight; average daily gain (ADG); initial body weight (IBW); and final body weight (FBW).…”

Section: Methodsmentioning

confidence: 99%

Performance of crossbred steers post-weaned in an integrated crop-livestock system and finished in a feedlot

Costa

Barbosa

Alvarenga

et al. 2017

Pesq. agropec. bras.

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-The objective of this work was to evaluate the performance of crossbred steers post-weaned in an integrated crop-livestock system (ICL) and finished in a feedlot, fed either a high-level concentrate diet or whole corn with no roughage. Weaned calves of two breed groups -½ Angus × ½ Nellore, and ½ Charolais × ¼ Angus × ¼ Nellore -were allotted in a completely randomized experimental design (CRD). During the rainy season, the ½ Angus × ½ Nellore animals showed a higher performance than the ½ Charolais × ¼ Angus ×¼ Nellore ones, with 0.748 and 0.490 kg average daily gain, respectively. The productivity in the post-weaning period was 926 kg ha -1 body weight in a 11-month period, in the ICL system. Subsequently, the animals were confined and fed high-concentrate diet or whole corn with no roughage, in a CRD with a 2×2 factorial arrangement. In the feedlot, the ½ Charolais × ¼ Angus × ¼ Nellore animals showed lower values for carcass average daily gain, carcass yield, and slaughter weight than the ½ Angus × ½ Nellore animals. The high productivity in the ICL shows that this strategy, associated with the use of crossbreeding during the post-weaning and finishing stages, can be indicated for the new demand for a sustainable livestock activity.

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Exigências Nutricionais de Zebuínos Puros e Cruzados - BR-CORTE

Abstract: Ajuste do peso corporal de bovinos para condições fisiológicas e de alimentação ……………………………………………………………….

Cited by 92 publications

References 177 publications

Models of protein and amino acid requirements for cattle

Models of protein and amino acid requirements for cattle

Eficiência bioeconômica de bovinos de corte em confinamento

Performance of crossbred steers post-weaned in an integrated crop-livestock system and finished in a feedlot

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