Variações diárias nas excreções de creatinina e derivados de purinas em novilhas

Leal, Thalita Lázaro; Valadares, Rilene Ferreira Diniz; Filho, Sebastião de Campos Valadares; Campos, José Maurício de Souza; Detmann, Edênio; Barbosa, Analívia Martins; Teixeira, Rafael Monteiro Araújo; Marcondes, Marcos Inácio

doi:10.1590/s1516-35982007000400021

Cited by 8 publications

(5 citation statements)

References 18 publications

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“…The confidence interval (CI) of UCE was CI (μ) 0.90 = (22.28≤μ≤29.52) ( (Leal et al, 2007), which are between the confidence interval obtained in this study. In addition to lactation, studies with cows had values that are also between the confidence interval obtained by this study: 23.41 mg/kg BW (Oliveira et al, 2001) and 24.04 and 24.07 mg/kg BW (Chizzotti et al, 2008).…”

Section: Resultssupporting

confidence: 74%

Creatinine excretion and relationship with body weight of Nellore cattle

et al. 2012

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-The objective of this study was to estimate the urinary creatinine excretion by the shrunk body weight (SBW). In experiment I, 32 Nellore bulls with initial body weight of 259±24.9 kg and 14±1 months-old were used. The group was divided in four animals to maintenance and twenty eight animals feeding ad libitum and separated in four groups; each group was slaughtered at different times of feedlot (42, 84, 126 and 168 days). The diet was composed of corn silage and concentrate (55:45). Before the slaughters, the total urinary collection was realized during three days. A database of creatinine excretion was collected from other five studies that had been conducted with Nellore cattle. In all the studies, the total urinary collection was realized during at least three days. At the end of each collection, the animals were weighted.Urinary creatinine excretion (UCE) was related with the shrunk body weight and it can be estimated by the equation: UCE (g/day) = 0.0345 × SBW 0.9491 .

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Section: Resultssupporting

confidence: 74%

Creatinine excretion and relationship with body weight of Nellore cattle

et al. 2012

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“…A proporção média de alantoína foi de 89,83% em relação aos derivados de purinas totais, valor próximo ao observado por Leal et al (2007) em novilhas holandesas com 287 ± 49 kg de PV. No entanto, os valores de Nmic observados por estes autores (126,8 g/dia) foram superiores aos observados neste trabalho (variando de 42,83 a 59,50 g/dia), uma vez que os animais consumiram maior quantidade de MS (6,74 vs 4,81 kg/dia).…”

Section: Resultsunclassified

Consumo, digestibilidade total, produção de proteína microbiana e balanço de nitrogênio em dietas com subprodutos de frutas para ruminantes

et al. 2011

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Objetivou-se avaliar os efeitos da inclusão de subprodutos de frutas in natura (abacaxi, goiaba, mamão, manga e maracujá) e do nível (10 e 30%) utilizado na dieta de bovinos em substituição parcial à silagem de milho sobre o consumo e a digestibilidade total dos nutrientes, a produção de proteína microbiana (Pmic) e o balanço de nitrogênio e sobre a predição das frações digestíveis e nutrientes digestíveis totais (NDT) desses subprodutos. Todos os animais receberam silagem de milho e mistura ureia/sulfato de amônio (9:1) para que as rações se mantivessem isonitrogenadas. Os consumos de matéria seca (MS) (kg/dia), matéria orgânica (MO), proteína bruta (PB), fibra em detergente neutro (FDN) e NDT, além da digestibilidade de PB, extrato etéreo (EE) e carboidratos não-fibrosos (CNF) foram afetados pela origem do subproduto. Houve efeito para o nível de inclusão dos subprodutos na digestibilidade da PB e EE. Os subprodutos de mamão, manga e abacaxi apresentaram valor energético 23,1; 18,0 e 7,1%, respectivamente, superior ao da silagem de milho. A fonte do subproduto influenciou as excreções urinárias de derivados de purinas totais e purinas absorvidas e a produção de proteína microbiana, além da ingestão (g/dia), a excreção dos compostos nitrogenados nas fezes e na urina (g/dia) e o balanço de nitrogênio (g/dia). O nível de inclusão dos subprodutos na dieta afetou as excreções urinárias de derivados de purinas totais e purinas absorvidas e a produção de proteína microbiana. Os subprodutos de abacaxi, mamão e manga têm valor energético superior ao da silagem de milho e podem substituir parcialmente concentrados energéticos em dietas para ruminantes. O subproduto de maracujá tem potencial para substituir parcialmente volumosos em dietas para ruminantes. O subproduto de goiaba apresenta limitações para uso em dietas para ruminantes.

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“…The use of PD:C, ALLA:C, and PDCindex as predictors allows for the utilization of urine spot samples, rather than total collection (Chen et al, 2004). Some studies (Chen and Gomes, 1992;Leal et al, 2007) re-ported that PD excretion and PD:C have low variation throughout the day. Chen and Gomes (1992) restrictedfed Holstein steers and measured the variation of urinary PD:C across 5 time points of urine collection.…”

Section: Purine Derivatives Are Strongly Correlated With Dmimentioning

confidence: 99%

Urinary purine derivatives as a tool to estimate dry matter intake in cattle: A meta-analysis

Dórea

Danes

Zanton

et al. 2017

Journal of Dairy Science

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The objectives of this study were to investigate the relationship between dry matter intake (DMI) and urinary purine derivative (PD) excretion, to develop equations to predict DMI and to determine the endogenous excretion of PD for beef and dairy cattle using a meta-analytical approach. To develop the models, 62 published studies for both dairy (45 studies) and beef cattle (17 studies) were compiled. Twenty models were tested using DMI (kg/d) and digestible DMI (dDMI, kg/d) as response variables and PD:creatinine (linear term: PD:C, and quadratic term: PD:C), allantoin:creatinine (linear term: ALLA:C, and quadratic term: ALLA:C), metabolic body weight (BW, kg), milk yield (MY, kg/d), and their combination as explanatory variables for dairy and beef (except for MY) cattle. The models developed to predict DMI for dairy cattle were validated using an independent data set from 2 research trials carried out at the University of Wisconsin (trial 1: n = 45; trial 2: n = 50). A second set of models was developed to estimate the endogenous PD excretion. In all evaluated models, the effect of PD (either as PD:C or ALLA:C) was significant, supporting our hypothesis that PD are in fact correlated with DMI. Despite the BW-independent relationship between PD and DMI, the inclusion of BW in the models with PD:C and ALLA:C as predictors slightly decreased the values of root mean square error (RMSE) and Akaike information criterion for the models of DMI. Our models suggest that both DMI and dDMI can be equally well predicted by PD-related variables; however, predicting DMI seems more useful from a practical and experimental standpoint. The inclusion of MY into the dairy models substantially decreased RMSE and Akaike information criterion values, and further increased the precision of the equations. The model including PD:C, BW, and MY presented greater concordance correlation coefficient (0.93 and 0.63 for trials 1 and 2, respectively) and lower RMSE of prediction (1.90 and 3.35 kg/d for trials 1 and 2, respectively) when tested in the validation data set, emerging as a potentially useful estimator of nutrient intake in dairy cows. Endogenous PD excretion was estimated by the intercept of the linear regression between DMI (g/kg of BW) and PD excretion (mmol/kg of BW) for beef (0.404 mmol/kg of BW) and dairy cattle (0.651 mmol/kg of BW). Based on the very close agreement between our results for beef cattle and the literature, the linear regression appears to be an adequate method to estimate endogenous PD excretion.

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Variações diárias nas excreções de creatinina e derivados de purinas em novilhas

Cited by 8 publications

References 18 publications

Creatinine excretion and relationship with body weight of Nellore cattle

Creatinine excretion and relationship with body weight of Nellore cattle

Consumo, digestibilidade total, produção de proteína microbiana e balanço de nitrogênio em dietas com subprodutos de frutas para ruminantes

Urinary purine derivatives as a tool to estimate dry matter intake in cattle: A meta-analysis

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