4.3 Article

Estimation of metabolisable energy and net energy of rice straw and wheat straw for beef cattle by indirect calorimetry

期刊

ARCHIVES OF ANIMAL NUTRITION
卷 72, 期 4, 页码 275-289

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/1745039X.2018.1482076

关键词

Beef cattle; calorimetry; metabolisable energy; net energy; rice straw; wheat straw

资金

  1. Public Welfare Industry (Agriculture) Scientific Research Projects [201303145]
  2. National Key RD Plan [2016YFD0500508]

向作者/读者索取更多资源

Two experiments were conducted to estimate the metabolisable energy (ME) and net energy (NE) of rice straw and wheat straw for beef cattle. In each experiment, 16 Wandong bulls (Chinese indigenous yellow cattle) were assigned to 4 dietary treatments in a completely randomised design. Four dietary treatments included one corn silage-concentrate basal diet and three test diets in which the basal diet was partly substituted by rice straw (Exp. 1) or wheat straw (Exp. 2) at 100, 300 and 600g/kg. Total collection of faeces and urine was conducted for 5 consecutive days after a 2-week adaption period, followed by a 4-d period where gas exchange measurements were measured by an open-circuit respiratory cage. Linear regression equations of rice straw- or wheat straw-associated ME and NE contribution in test diets against rice straw or wheat straw substitution amount were developed to predict the ME and NE values of rice straw and wheat straw. These regression equations resulted in ME and NE values (dry matter basis) of 6.76 and 3.42MJ/kg for rice straw and 6.43 and 3.28MJ/kg for wheat straw, respectively. The NE and ME requirement for maintenance of Wandong cattle fed a straw-based diet were 357 and 562kJkg(-0.75)d(-1), respectively. The regression-derived ME and NE have lower standard errors and coefficients of variation than those estimated by any single substitution ratio. Our study found that the regression method based on multiple point substitution is more reliable than the substitution method for energy evaluation of feedstuffs for beef cattle.

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