Yan T, Agnew R E
The Agricultural Research Institute of Northern Ireland, Hillsborough, BT26 6DR Northern Ireland.
J Anim Sci. 2004 May;82(5):1380-91. doi: 10.2527/2004.8251380x.
One hundred thirty-six perennial rye-grass silages with wide variations in quality were evaluated for N and DM degradability in three beef steers offered grass silage of medium quality ad libitum. The silages were incubated in the rumen of each animal in triplicate for 0, 6, 12, 24, 48, and 72 h, respectively. The disappearance rates of N or DM were used to calculate the readily soluble fraction ("a" value), potentially degradable fraction ("b" value), and the fractional degradation rate of"b" ("c" value). The effective degradability (P) of N or DM was then estimated assuming a ruminal outflow rate of 0.02, 0.05, or 0.08/h (P0.02, P0.05, or P0.08). The objective was to use these data to develop prediction equations for N and DM degradability in grass silages. There were considerable variations in "a," "b," and "c" values and the P0.02, P0.05, or P0.08 of N and DM (e.g., the P0.02 of N ranged from 75.0 to 93.4% and the P0.02 of DM from 51.5 to 82.5%). The P0.02, P0.05, or P0.08 of N and DM were negatively related (P < 0.001) to ADF, NDF, and lignin concentrations but positively related (P < 0.001) to protein fractions (CP, soluble CP, and true protein concentrations) and digestibility of DM, OM, GE, CP, and NDF and digestible OM in the total DM (measured with sheep). The N and DM degradability data were also positively related to silage lactic acid concentration, but the relationships between DM degradability data and pH, ammonia N/total N, and VFA concentration in silages were negative (P < 0.05). Several sets of prediction equations (linear and multiple) were thus developed for N and DM degradability using CP or NDF concentration, "a" value or digestibility data as primary predictors, together with or without other nutrient concentration and silage fermentation variables. All these relationships were highly significant (P < 0.001), and each predictor had a significant effect on the relationship (P < 0.05). The R2 values in multiple regression for N and DM degradability were generally over 0.70 and higher than in linear regression equations. Four equations were also developed to convert N and DM degradability at a given ruminal outflow rate, predicted using the above-mentioned equations, to their counterparts at any ruminal outflow rate (0.02 to 0.10/h), respectively.
对136份质量差异很大的多年生黑麦草青贮饲料进行了评估,在三头随意采食中等质量青贮草的肉牛中测定其氮和干物质降解率。将青贮饲料在每头动物的瘤胃中进行三次重复培养,分别培养0、6、12、24、48和72小时。用氮或干物质的消失率来计算易溶部分(“a”值)、潜在可降解部分(“b”值)以及“b”的降解率(“c”值)。然后假设瘤胃外流速度为0.02、0.05或0.08/h(P0.02、P0.05或P0.08),估算氮或干物质的有效降解率(P)。目的是利用这些数据建立青贮草中氮和干物质降解率的预测方程。“a”、“b”和“c”值以及氮和干物质的P0.02、P0.05或P0.08存在相当大的差异(例如,氮的P0.02范围为75.0%至93.4%,干物质的P0.02范围为51.5%至82.5%)。氮和干物质的P0.02、P0.05或P0.08与酸性洗涤纤维(ADF)、中性洗涤纤维(NDF)和木质素浓度呈负相关(P<0.001),但与蛋白质组分(粗蛋白、可溶性粗蛋白和真蛋白浓度)以及干物质、有机物、总能、粗蛋白和中性洗涤纤维的消化率以及总干物质中可消化有机物(用绵羊测定)呈正相关(P<0.001)。氮和干物质降解率数据也与青贮饲料乳酸浓度呈正相关,但干物质降解率数据与青贮饲料的pH值、氨态氮/总氮和挥发性脂肪酸(VFA)浓度之间的关系呈负相关(P<0.05)。因此,利用粗蛋白或中性洗涤纤维浓度、“a”值或消化率数据作为主要预测指标,结合或不结合其他养分浓度和青贮饲料发酵变量,建立了几组氮和干物质降解率的预测方程(线性和多元)。所有这些关系都非常显著(P<0.001),每个预测指标对该关系都有显著影响(P<0.05)。氮和干物质降解率的多元回归R2值一般超过0.70,高于线性回归方程。还建立了四个方程,分别将使用上述方程预测的给定瘤胃外流速度下的氮和干物质降解率转换为任何瘤胃外流速度(0.02至0.10/h)下的相应降解率。