Prediction of net energy of feeds for broiler chickens

IF 6.1 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Animal Nutrition Pub Date : 2023-12-20 DOI:10.1016/j.aninu.2023.11.009
Aye-Cho Tay-Zar, Manoosak Wongphatcharachai, Pairat Srichana, Pierre-André Geraert, Jean Noblet
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Abstract

Net energy (NE) enables the prediction of more accurate feed energy values by taking into account the heat increment which is approximately 25% of apparent metabolizable energy (AME) in poultry. Nevertheless, application of NE in poultry industry has not been practiced widely. To predict the NE values of broiler diets, 23 diets were prepared by using 13 major ingredients (wheat, corn, paddy rice, broken rice, cassava pellets, full-fat soybean, soybean meal, canola meal, animal protein, rice bran, wheat bran, palm kernel meal and palm kernel oil). The diets were formulated in order to meet the birds’ requirements and get a wide range of chemical compositions (on DM basis; 33.6% to 55.3% for starch; 20.8% to 28.4% for CP, 2.7% to 10.6% for ether extract [EE] and 7.0% to 17.2% for NDF), with low correlations between these nutrients and low correlations between the inclusion levels of ingredients allowing for the calculation of robust prediction equations of energy values of diets or ingredients. These diets were fed to Ross 308 broilers raised in 12 open-circuit respiratory chambers from 18 to 23 d of age (4 birds per cage) and growth performance, diet AME content and heat production were measured, and dietary NE values were calculated. The trial was conducted on a weekly basis with 12 diets measured each week (1 per chamber), 1 of the 23 diets (reference diet) being measured each week. Each diet was tested at least 8 times. In total, 235 energy balance data values were available for the final calculations. Growth performance, AME (15.3 MJ/kg DM on average) and AME/GE (79.4% on average) values were as expected. The NE/AME value averaged 76.6% and was negatively influenced by CP and NDF and positively by EE in connection with efficiencies of AME provided by CP, EE and starch for NE of 73%, 87% and 81%, respectively. The best prediction equation was: NE = (0.815 × AME) – (0.026 × CP) + (0.020 × EE) – (0.024 × NDF) with NE and AME as MJ/kg DM, and CP, EE and NDF as % of DM. The NE prediction equations from this study agree with other recently reported equations in poultry and are suitable for both ingredients and complete feeds.

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肉鸡饲料净能预测
净能(NE)通过考虑热增量(约占家禽表观代谢能(AME)的 25%),能够预测更准确的饲料能量值。然而,NE 在家禽业中的应用并不广泛。为了预测肉鸡日粮的 NE 值,研究人员使用 13 种主要原料(小麦、玉米、稻谷、碎米、木薯颗粒、全脂大豆、豆粕、菜籽粕、动物蛋白、米糠、麦麸、棕榈仁粕和棕榈仁油)配制了 23 种日粮。这些日粮的配制是为了满足鸟类的需要,并获得广泛的化学成分(以 DM 为基础;淀粉 33.6% 至 55.3%;CP 20.8% 至 28.4%;醚提取物 [EE] 2.7% 至 10.6%;NDF 7.0% 至 17.2%),这些营养成分之间的相关性较低,成分含量之间的相关性较低,因此可以计算出日粮或成分能量值的可靠预测方程。用这些日粮饲喂在 12 个开环呼吸室中饲养的罗斯 308 肉鸡(每笼 4 只),从 18 日龄到 23 日龄,测量生长性能、日粮 AME 含量和产热,并计算日粮 NE 值。试验每周进行一次,每周测定 12 种日粮(每笼 1 种),每周测定 23 种日粮中的 1 种(参考日粮)。每种日粮至少测试 8 次。共有 235 个能量平衡数据值可用于最终计算。生长性能、AME(平均 15.3 兆焦耳/千克 DM)和 AME/GE 值(平均 79.4%)符合预期。NE/AME值平均为76.6%,受CP和NDF的负面影响,受EE的正面影响,CP、EE和淀粉提供的AME对NE的效率分别为73%、87%和81%。最佳预测方程为NE=(0.815 × AME)-(0.026 × CP)+(0.020 × EE)-(0.024 × NDF),NE 和 AME 单位为兆焦耳/千克 DM,CP、EE 和 NDF 单位为 DM 的百分比。本研究的 NE 预测方程与近期报道的其他家禽预测方程一致,适用于原料和全价饲料。
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来源期刊
Animal Nutrition
Animal Nutrition Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
7.40
自引率
3.20%
发文量
172
审稿时长
12 weeks
期刊介绍: Animal Nutrition encompasses the full gamut of animal nutritional sciences and reviews including, but not limited to, fundamental aspects of animal nutrition such as nutritional requirements, metabolic studies, body composition, energetics, immunology, neuroscience, microbiology, genetics and molecular and cell biology related to nutrition, and more applied aspects of animal nutrition, such as raw material evaluation, feed additives, nutritive value of novel ingredients and feed safety.
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