Yan T, Frost J P, Keady T W J, Agnew R E, Mayne C S
Agri-Food and Biosciences Institute, Large Park, Hillsborough, Co Down BT26 6DR, UK.
J Anim Sci. 2007 Aug;85(8):1982-9. doi: 10.2527/jas.2006-408. Epub 2007 May 15.
Data from 286 beef cattle, obtained in total diet digestibility assessments, were used to examine effects of dietary and animal factors on N excretion in feces and urine and to develop prediction equations for N excretion in beef cattle. The animals used were mainly from beef breeds, at various ages (from growth to finishing) and live BW (153 to 580 kg), and offered diets containing grass silage at production feeding levels. Dietary forage proportion ranged from 199 to 1,000 g/kg of DM and dietary CP concentration from 108 to 217 g/kg of DM. Linear and multiple regression techniques were used to examine relationships between the efficiency of N utilization and dietary and animal variables with the experimental effects removed. The statistical analysis indicated that N excretion was related positively (P < 0.001) to live BW and intakes of DM, N, and ME, and negatively (P < 0.001) to dietary forage proportion. The prediction equation for N excretion, developed using N intake alone, produced a large r2 (0.898) and a small SE (12.3). Addition of live BW and forage proportion as supporting predictors to this relationship only marginally increased R2 to 0.915 and reduced SE to 11.2. Nitrogen excretion was less well related to live BW (r2 = 0.771, SE = 18.5) than to N intake. Addition of N intake as a proportion of DMI or ME intake to the relationship between live BW and N excretion increased R2 to 0.824 and reduced SE to 16.2. The internal validation of these equations revealed that using N intake as the primary predictor produced a very accurate prediction of N excretion. In situations where data on N intake are not available, prediction equations based on live BW and dietary N concentration together can produce a relatively accurate assessment of N excretion. A number of mitigation strategies to reduce N excretion in feces and urine in beef cattle are discussed, including manipulation of dietary N concentration, diet quality, and level of feeding. The prediction equations and mitigation strategies developed in the current study provide an approach for beef producers to quantify N excretion against production and to develop their own mitigation strategies to reduce N excretion.
在总日粮消化率评估中获取的286头肉牛的数据,用于研究日粮和动物因素对粪便和尿液中氮排泄的影响,并建立肉牛氮排泄的预测方程。所使用的动物主要来自肉牛品种,处于不同年龄阶段(从生长到育肥),体重范围为153至580千克,且以生产饲养水平饲喂含青贮草的日粮。日粮中粗饲料比例为每千克干物质199至1000克,日粮粗蛋白浓度为每千克干物质108至217克。采用线性和多元回归技术,在去除实验效应的情况下,研究氮利用效率与日粮和动物变量之间的关系。统计分析表明,氮排泄与体重、干物质摄入量、氮摄入量和代谢能摄入量呈正相关(P < 0.001),与日粮粗饲料比例呈负相关(P < 0.001)。仅使用氮摄入量建立的氮排泄预测方程,r2值较大(0.898),标准误较小(12.3)。在此关系中加入体重和粗饲料比例作为辅助预测因子,R2仅略微增加至0.915,标准误降至11.2。氮排泄与体重的相关性(r2 = 0.771,标准误 = 18.5)不如与氮摄入量的相关性。在体重与氮排泄的关系中加入氮摄入量占干物质采食量或代谢能摄入量的比例,R2增加至0.824,标准误降至16.2。这些方程的内部验证表明,以氮摄入量作为主要预测因子能非常准确地预测氮排泄。在无法获取氮摄入量数据的情况下,基于体重和日粮氮浓度共同建立的预测方程可对氮排泄进行相对准确的评估。文中讨论了一些减少肉牛粪便和尿液中氮排泄的缓解策略,包括控制日粮氮浓度、日粮质量和饲养水平。本研究中建立的预测方程和缓解策略为肉牛生产者提供了一种方法,可根据生产情况量化氮排泄,并制定自身的缓解策略以减少氮排泄。