In sacco degradation characteristics as predictors of digestibility and voluntary intake of roughages by mature ewes

In sacco degradation characteristics as predictors of digestibility and voluntary intake of roughages by mature ewes
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DOI:
10.1016/s0377-8401(98)00121-7
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发表时间:
1998-06-01
影响因子:
3.2
通讯作者:
Orskov, ER
Orskov, ER
中科院分区:
农林科学2区
文献类型:
--
作者:
Fonseca, AJM;Dias-da-Silva, AA;Orskov, ER

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现场尼龙袋技术被评估为预测粗饲料消化率和自愿摄入量的方法。在八周的时间内,将包括五根未经处理的谷物秸秆、两根用尿素处理的谷物秸秆和五份干草在内的十二种饲料分别提供给六八只成熟的非怀孕和非哺乳母羊(70.4+/-8.4公斤)。豆粕以不同的量作为补充剂,以满足瘤胃微生物对可降解氮的需求。使用两只瘤胃造瘘公羊来测量每种饮食的消化率以及粗饲料瘤胃中干物质(DM)降解的动力学。粗饲料的表观有机物消化率(OMD)范围为0.441至0.600 g kg(-1),DM摄入量为9.6至17.9 g kg(-1)活重。孵化 96 或 72 小时后的 DM 降解是粗饲料 OMD 的最佳预测因子(分别为 r(2) = 0.73 和 0.70),而根据粗饲料 3 小时的 DM 降解和 ADF 含量预测 DM 摄入量最为准确(分别为 r(2) = 0.68 和 0.67)。相比之下,可消化的 DM 摄入量最好通过多元回归方程来预测,其中包括降解常数、可溶性分数和占观察到的变化的 89% 的降解率。母羊的活重变化也可以通过类似的方程或仅通过可溶性部分(r(2)= 0.80)很好地预测,但为此目的,ADF 的预测能力更高(r(2)= 0.86)。 (C) 1998 Elsevier Science B.V. 保留所有权利。
The in situ nylon bag technique was evaluated as a method of predicting digestibility and voluntary intake of roughages. Twelve feedstuffs including five untreated cereal straws, two cereal straws treated with urea and five grass hays were each offered to six-eight mature non-pregnant and non-lactating ewes (70.4 +/- 8.4 kg), ad libitum, over a period of eight weeks. Soyabean meal was given as supplement in variable amounts to cover rumen microbes requirements for degradable nitrogen. Two rumen fistulated rams were used to measure the digestibility of each diet and the kinetics of dry matter (DM) degradation in the rumen of the roughages. Apparent organic matter digestibility (OMD) of the roughages ranged from 0.441 to 0.600 g kg(-1) and DM intake from 9.6 to 17.9 g kg(-1) of live weight. DM degradation after 96 or 72 h incubation were the best predictors of roughages OMD (r(2) = 0.73 and 0.70, respectively) while prediction of DM intake was most accurate from 3 h DM degradation and ADF content of roughages (r(2) = 0.68 and 0.67, respectively). In contrast, digestible DM intake was best predicted by a multiple regression equation including the degradation constants soluble fraction and rate of degradation accounting for 89% of the variation observed. Live weight variation of ewes was also well predicted from a similar equation or from soluble fraction alone (r(2) = 0.80) but the predictive capability of ADF was higher (r(2) = 0.86) for this purpose. (C) 1998 Elsevier Science B.V. All rights reserved.