玉米在蛋鸡饲粮中有效能值的测定及其净能预测模型的构建  

Mensuration of Effective Energy Value of Corn in Diets of Laying Hens and Its Net Energy Prediction Model Construction

作　　者：潘敏慧 李成云[1] 张海军[2] 班志彬[3] 陈思淼 梁浩[3] 闫晓刚[3] 赵晓东[3] 赵敬慧 PAN Minhui;LI Chengyun;ZHANG Haijun;BAN Zhibin;CHEN Simiao;LIANG Hao;YAN Xiaogang;ZHAO Xiaodong;ZHAO Jinghui(College of Agriculture,Yanbian University,Yanji 133002,China;Institute of Feed Research of Chinese Academy of Agricultural Sciences,Beijing 100081,China;Institute of Animal Nutrition and Feed,Jilin Academy of Agricultural Sciences,Gongzhuling 136100,China;Jilin Dabeinong Agricultural&Animal Husbandry Technology Co.,Ltd.,Changchun 130000,China)

机构地区：[1]延边大学农学院,延吉133002 [2]中国农业科学院饲料研究所,北京100081 [3]吉林省农业科学院动物营养与饲料研究所,公主岭136100 [4]吉林大北农农牧科技有限责任公司,长春130000

出　　处：《动物营养学报》2024年第4期2344-2355,共12页CHINESE JOURNAL OF ANIMAL NUTRITION

基　　金：国家重点研发计划(2021YFD1300204);长春市科技发展计划项目——创新平台与人才计划——长春市饲料加工产业科学家工作站(21ck03)。

摘　　要：本试验采用间接测热法结合套算法测定不同来源玉米在产蛋高峰期海兰褐蛋鸡饲粮中的有效能值并建立基于理化指标的玉米净能(NE)预测模型。选取54周龄体重为(1898.32±114.12)g、产蛋率为(90.74±1.31)%的海兰褐蛋鸡共72只,随机分为6个组(1个玉米-豆粕型基础饲粮组和5个玉米替代比例为30%的试验饲粮组),每组6个重复,每个重复2只鸡。试验鸡在舍内笼养,预试期10 d,正试期12 d,其中正试期分为3期,每期4 d(适应1 d,呼吸测热3 d)。每期试验中,从每组中选择4只试验鸡,称重后分别放入呼吸测热装置的12个代谢室(每个代谢室2只),每2个代谢室对应l种饲粮,间接测热和消化代谢试验同时进行。结果显示:1)5种玉米的表观代谢能(AME)分别为15.09、14.18、14.67、14.33和14.28 MJ/kg DM,NE分别为10.90、10.33、10.82、10.47和10.44 MJ/kg DM,NE/AME分别为72.17%、72.84%、73.71%、72.99%和73.11%。2)玉米的NE预测方程为NE=-0.001+0.57×AME+0.606×粗脂肪+0.088×粗纤维(R 2=0.987,P<0.01)。交叉验证显示本试验所得蛋鸡玉米的NE预测模型准确性较高,利用该模型可根据AME、粗脂肪和粗纤维含量预测玉米的NE。In this experiment,the effective energy value of Hy-Line brown laying hens to different sources of corns was determined by indirect calorimetry combined with substitution method,and a net energy(NE)prediction equation of corn based on physical and chemical indicators was established.A total of 72 Hy-line brown laying hens aged 54 weeks with body weight of(1898.32±114.12)g and laying rate of(90.74±1.31)% were randomly divided into 6 groups(1 corn-soybean meal basal diet group and 5 experimental diet groups with 30% corn replacement ratio)with 6 replicates per group and 2 hens per replicate.The test hens were caged in the house,the pre-test period was 10 days,and the trial period was 12 days.The trial period was divided into 3 periods,each period was 4 days(1 day for adaptation,and 3 days for breath calorimetry).In each period of test,four hens were selected from each group,put them into 12 metabolic chambers(2 hens in each chamber)of the respiratory calorimetry device after weighing,each 2 metabolic chambers correspond to 1 kind of diet.Indirect calorimetry and digestion and metabolism tests were performed at the same time.The results were follows:1)the apparent metabolizable energy(AME)of the five corns were 15.09,14.18,14.67,14.33 and 14.28 MJ/kg DM,respectively;the NE were 10.90,10.33,10.82,10.47 and 10.44 MJ/kg DM,respectively;the NE/AME were 72.17%,72.84%,73.71%,72.99% and 73.11%,respectively.2)The NE prediction equation of corn is NE=-0.001+0.57×AME+0.606×ether extract(EE)+0.088×crude fiber(CF)(R 2=0.987,P<0.01).Cross-validation showed that the NE prediction model of corn for laying hens obtained in this experiment is more accurate,and the NE of corn can be predicted by using this model according to the AME and the contents of EE and CF.

关 键 词：蛋鸡 净能 间接测热法 预测模型 

分 类 号：S816[农业科学—饲料科学]