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Determination and prediction of the digestible and metabolizable energy content of lipid sources fed to growing pigs

机译:饲喂生长猪的脂质来源的可消化和代谢能含量的测定和预测

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This experiment was conducted to determine the digestible and metabolizable energy (DE and ME) content of lipid sources when fed to growing pigs and to establish prediction equations for determining the DE and ME content of the lipid sources based on their fatty acid composition. Eighty-four crossbred growing barrows (Duroc x Landrace x Yorkshire, weighing 39.4 +/- 3.5 kg) were randomly allotted to 1 of 14 diets with 6 pigs per diet involving 13 lipid sources and a basal diet composed of corn and soybean meal according to a randomized complete block design. The lipid sources were substituted into the basal diet at a level of 10% at the expense of corn and soybean meal. The barrows were housed in individual metabolism crates to facilitate separate collection of feces and urine, and were fed the assigned test diets at 4% of initial body weight per day. A 5-d total collection of feces and urine followed a 7-d diet adaptation period. The results showed that the DE and ME content of lipid sources were affected by the composition of their fatty acids. The DE and ME content of lipid sources containing more polyunsaturated fatty acids (PUFA) were usually greater. The DE and ME content of the most examined vegetable and animal lipid sources can be predicted by the content of PUFA, oleic acid (C18:1) and stearic acid (C18:0). The best prediction equation is: DE=34.15 + 0.07 x PUFA + 0.21 x C18:0 - 0.04 x C18:1 (R-2 = 0.84, P 0.01); ME=33.37 + 0.07 x PUFA + 0.20 x C18:0 0.04 x C18:1 (R-2=0.85, P0.01). (C) 2015 Elsevier B.V. All rights reserved.
机译:进行该实验以确定喂给生长中的猪时脂质源的可消化和代谢能(DE和ME)含量,并建立预测方程式,以基于它们的脂肪酸组成确定脂质源的DE和ME含量。将八十四头杂交种公猪(Duroc x Landrace x Yorkshire,重39.4 +/- 3.5千克)随机分配给14种日粮中的1种,每种日粮6头猪,涉及13种脂质来源,基础日粮由玉米和大豆粉随机完整块设计。将脂质源以10%的水平替代到基础饮食中,而以玉米和大豆粉为代价。将手推车放在单独的新陈代谢箱中,以方便粪便和尿液的单独收集,并按每天初始体重的4%喂给指定的测试饮食。在7天的饮食适应期之后,总共收集了5天的粪便和尿液。结果表明,脂质来源的DE和ME含量受其脂肪酸组成的影响。包含更多多不饱和脂肪酸(PUFA)的脂质来源的DE和ME含量通常较高。可以通过PUFA,油酸(C18:1)和硬脂酸(C18:0)的含量来预测检查最多的植物和动物脂质来源的DE和ME含量。最好的预测方程是:DE = 34.15 + 0.07 x PUFA + 0.21 x C18:0-0.04 x C18:1(R-2 = 0.84,P <0.01); ME = 33.37 + 0.07 x PUFA + 0.20 x C18:0 0.04 x C18:1(R-2 = 0.85,P <0.01)。 (C)2015 Elsevier B.V.保留所有权利。

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