首页|基于体外仿生消化法构建不同来源玉米、高粱原料的鸡有效能预测模型

基于体外仿生消化法构建不同来源玉米、高粱原料的鸡有效能预测模型

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本试验旨在以不同来源的玉米、高粱原料为试验材料,利用单胃动物仿生消化系统(SDS)测定玉米和高粱原料的酶水解物能值(EHGE),并结合前期研究测定的鸡表观代谢能(AME)和真代谢能(TME),建立基于EHGE的AME及TME预测模型.本试验采用单因素完全随机设计,利用SDS分别测定5种不同来源的玉米原料和5种不同来源的高粱原料的体外干物质消化率(IVDMD)、体外总能消化率(IVGED)及EHGE.本试验参照的鸡AME和TME值为前期使用同批次原料,以健康体成熟的海兰褐公鸡通过自由采食法结合全收粪法测定所得.结果表明:1)不同来源玉米的IVDMD、IVGED和EHGE存在显著差异(P<0.05),其中2号玉米的IVDMD、IVGED和EHGE分别为75.12%、80.89%和15.19 MJ/kg DM,显著高于 1 号玉米(P<0.05).2)不同来源高粱的IVDMD、IVGED和EHGE存在显著差异(P<0.05),其中5号高粱的 IVDMD、IVGED 和 EHGE 最高,分别为79.28%、85.15%和15.73 MJ/kg DM,而2号高粱的IVDMD、IVGED和EHGE最低,分别为55.93%、58.28%和10.72 MJ/kg DM.3)高粱的EHGE与AME和TME之间存在显著的正相关(P<0.05),玉米的EHGE与AME和TME之间的相关系数均为0.80.4)基于EHGE建立的玉米和高粱AME预测模型分别为:AME=7.62+0.57×EHGE[R2=0.64,相对标准偏差(RSD)=0.11,P=0.11]、AME=10.03+0.31×EHGE(R2=0.80,RSD=0.38,P=0.04);基于EHGE建立的玉米和高粱的TME预测模型分别为:TME=7.58+0.58×EHGE(R2=0.64,RSD=0.11,P=0.10)、TME=9.98+0.33×EHGE(R2=0.89,RSD=0.28,P=0.02).由此可见,不同来源的玉米和高粱的EHGE差异明显,在本试验条件下高粱原料的EHGE与AME和TME之间存在较强的相关关系,使用SDS对高粱原料的AME和TME有更好的预测性.
Predictive Models for Chicken Effective Energy Using an in Vitro Simulated Digestion Method Applied to Corn and Sorghum from Different Sources
The objective of this experiment was to evaluate the enzymatic hydrolysate gross energy(EHGE)of corn and sorghum from different sources using a simulated digestion system(SDS)designed for monogastric animals.This study aimed to develop predictive models for apparent metabolizable energy(AME)and true metabolizable energy(TME)utilizing EHGE values,in conjunction with the AME and TME data obtained from chickens in prior research.The investigation employed a completely randomized design to examine five different sources of corn and sorghum.The in vitro dry matter digestibility(IVDMD),in vitro gross energy di-gestibility(IVGED),and EHGE for each sample were determined using the SDS.The AME and TME values from a previous study,which used the same batches of raw materials to conduct tests on healthy and mature Hy-Line brown roosters,served as reference points.The results showed as follows:1)there were significant differences in IVDMD,IVGED,and EHGE among different sources of corn(P<0.05).Corn No.2 exhibited significantly higher IVDMD,IVGED,and EHGE than corn No.1 at 75.12%,80.89%,and 15.19 MJ/kg DM,respectively.2)Similarly,significant differences were observed in IVDMD,IVGED,and EHGE among different sources of sorghum(P<0.05).Sorghum No.5 demonstrated the highest values for IVDMD,IVGED,and EHGE at 79.28%,85.15%,and 15.37 MJ/kg DM,respectively,while sorghum No.2 exhibi-ted the lowest values at 55.93%,58.28%,and 10.72 MJ/kg DM,respectively.3)A significant positive cor-relation was observed between EHGE and AME(P<0.05),as well as between EHGE and TME for sorghum.The correlation coefficients between EHGE and AME,or between EHGE and TME,for corn were both 0.80.4)The prediction models for corn and sorghum AME based on EHGE were as follows:AME=7.62+0.57× EHGE[R2=0.64,residual standard deviation(RSD)=0.11,P=0.11]for corn,and AME=10.03+0.31 × EHGE(R2=0.80,RSD=0.38,P=0.04)for sorghum.The prediction models for corn and sorghum TME based on EHGE were as follows:TME=7.58+0.58×EHGE(R2=0.64,RSD=0.11,P=0.10)for corn,and TME=9.98+0.33×EHGE(R2=0.89,RSD=0.28,P=0.02)for sorghum.In conclusion,the evaluated val-ues of EHGE for corn and sorghum from different sources show significant variance.There is a notable correla-tion between AME and EHGE,as well as between TME and EHGE for sorghum feedstocks when tested under the specific conditions of this study.Moreover,the application of the simulated digestion method in this re-search appears to enhance the predictability of both AME and TME for sorghum feedstocks.[Chinese Journal of Animal Nutrition,2024,36(5):3296-3305]

simulated digestion methodcornsorghumeffective energychicken

白国松、李凯、严鸿林、周建川、马腾、钟儒清、陈亮

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中国农业科学院北京畜牧兽医研究所,畜禽营养与饲养全国重点实验室,北京 100193

西南科技大学生命科学与工程学院,绵阳 621010

铁骑力士食品有限责任公司,绵阳 621010

仿生消化法 玉米 高粱 有效能

中央级公益性科研院所基本科研业务费专项现代农业产业技术体系建设专项

23-YWF-ZX-03CARS-41

2024

动物营养学报
中国畜牧兽医学会

动物营养学报

CSTPCD北大核心
影响因子:1.297
ISSN:1006-267X
年,卷(期):2024.36(5)