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13~17周龄京粉6号蛋鸡微量元素需要量和动态预测模型研究

Study on Trace Element Requirement and Dynamic Prediction Model forJing Tint 6 Laying Hens from 13 to 17 Weeks of Age
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摘要 本试验旨在基于析因法原理,通过饲养试验和比较屠宰试验确定13~17周龄京粉6号蛋鸡微量元素需要量,并建立动态预测模型。试验选用健康且初始体重为(845.47±28.65)g的13周龄京粉6号蛋鸡198只,随机选取102只,分为6个重复,每个重复17只,用于生长需要的测定;另外96只蛋鸡用于维持需要的测定。维持需要试验根据不同采食量分为100%自由采食组、70%自由采食组和40%自由采食组,其中100%自由采食组数据与生长需要试验数据共用,70%自由采食组和40%自由采食组每组6个重复,每个重复8只鸡。试验期5周。结果表明:1)蛋鸡生长曲线为y=1925.600exp-4.347exp(-0.02 t);体增重与日龄的动态关系为y′=1180.25exp[-4.347exp(-0.02 t)-0.02]。式中:y表示体增重(g);t表示日龄。2)每只蛋鸡每天铜、铁、锌、锰的生长需要量分别为0.01~0.02 mg/d、0.28~0.47 mg/d、0.21~0.32 mg/d、0.01~0.03 mg/d,维持需求量分别为0.01、0.20、0.08、0.02 mg/d。3)蛋鸡铜、铁、锌、锰需要量与日龄的动态预测模型为:N_(铜)={0.011[1925.600exp-4.347exp(-0.02 t)]^(0.75)-2.242exp[-4.347exp(-0.02 t)-0.02 t]+4.545exp[-8.694exp(-0.02 t)-0.02 t]-0.118exp[-4.347exp(-0.02 t)-0.02 t]+0.455exp[-8.694exp(-0.02 t)-0.02 t]}/ADFI/A;N_(铁)={0.211[1925.600exp-4.347exp(-0.02 t)]^(0.75)-42.371exp[-4.347exp(-0.02 t)-0.02 t]+136.361exp[-8.694exp(-0.02 t)-0.02 t]-22.661exp[-4.347exp(-0.02 t)-0.02 t]+40.908exp[-8.694exp(-0.02 t)-0.02 t]}/ADFI/B;N锌={0.084[1925.600exp-4.347exp(-0.02 t)]^(0.75)+12.747exp[-4.347exp(-0.02 t)-0.02 t]+4.545exp[-8.694exp(-0.02 t)-0.02 t]-24.785exp[-4.347exp(-0.02 t)-0.02 t]+45.454exp[-8.694exp(-0.02 t)-0.02 t]}/ADFI/C;N_(锰)={0.021[1925.600exp-4.347exp(-0.02 t)]^(0.75)-0.236exp[-4.347exp(-0.02 t)-0.02 t]+2.273exp[-8.694exp(-0.02 t)-0.02 t]+0.590exp[-4.347exp(-0.02 t)-0.02 t]+0.045exp[-8.694exp(-0.02 t)-0.02 t]}/ADFI/D。式中:N表示每只蛋鸡每天饲粮中微量元素需要量(mg/kg);t表示日龄;ADFI表示平均日采食量(kg);A、B、C、D分别表示铜、铁、锌、锰的消化率(%)。4)蛋鸡铜、铁、锌、锰需要量与体重的动态预测模型为:N_(铜)=(3.05×10^(-7) LBW^(2)-0.000703 LBW+0.3642+0.011 BW^(0.75))/ADFI/A;N_(铁)=(3.4×10^(-6))LBW^(2)-0.0072 LBW+4.3268+0.211 BW^(0.75))/ADFI/B;N锌=(0.0012 LBW-0.2953+0.084 BW^(0.75))/ADFI/C;N_(锰)=(-1.8×10^(-6) LBW^(2)+0.0039 LBW-1.897+0.021 BW^(0.75))/ADFI/D。式中:N表示每只蛋鸡每天饲粮中微量元素需要量(mg/kg);LBW表示活体重(g);BW^(0.75)表示代谢体重(kg);ADFI表示平均日采食量(kg);A、B、C、D分别表示铜、铁、锌、锰的消化率(%)。综上所述,本试验得出13~17周龄京粉6号蛋鸡铜、铁、锌、锰需求量分别为0.02~0.03 mg/d、0.48~0.67 mg/d、0.29~0.40 mg/d、0.03~0.05 mg/d,并建立了动态预测模型。 Based on the principle of factorial method,this study was conducted to determine the trace element requirement for Jing Tint 6 laying hens from 13 to 17 weeks of age by feeding experiment and comparative slaughter experiment,and to establish a dynamic prediction model.A total of 198 healthy 13-week-old Jing Tint 6 laying hens with an initial body weight of(845.47±28.65)g were selected and 102 laying hens among them were randomly divided into 6 replicates with 17 chickens per replicate for the growth requirement determination,and the additional 96 laying hens were used to determine the maintenance requirement.Maintenance requirement experiment was divided into 100%free feeding group,70%free feeding group and 40%free feeding group according to different feed intake,the data in 100%free feeding group was shared with the date in growth requirement experiment,and the 70%free feeding group and 40%free feeding group had 6 replicates in each group and 8 chickens in each replicate.The experiment lasted for 5 weeks.The results showed as follows:1)the growth curve of laying hens was y=1925.600exp-4.347exp(-0.02 t);the dynamic relationship between body weight gain and day of age was y′=1180.25exp[-4.347exp(-0.02 t)-0.02].In which y represented body weight gain(g),and t represented day of age.2)The daily growth requirement of copper,iron,zinc and manganese for each laying hen was 0.01 to 0.02 mg/d,0.28 to 0.47 mg/d,0.21 to 0.32 mg/d and 0.01 to 0.03 mg/d,and the daily maintenance requirement of them was 0.01,0.20,0.08 and 0.02 mg/d,respectively.3)The dynamic prediction models of copper,iron,zinc and manganese requirement with day of age of laying hens were as follows:N_(Cu)={0.011[1925.600exp-4.347exp(-0.02 t)]^(0.75)-2.242exp[-4.347exp(-0.02 t)-0.02 t]+4.545exp[-8.694exp(-0.02 t)-0.02 t]-0.118exp[-4.347exp(-0.02 t)-0.02 t]+0.455exp[-8.694exp(-0.02 t)-0.02 t]}/ADFI/A;N_(Fe)={0.211[1925.600exp-4.347exp(-0.02 t)]^(0.75)-42.371exp[-4.347exp(-0.02 t)-0.02 t]+136.361exp[-8.694exp(-0.02 t)-0.02 t]-22.661exp[-4.347exp(-0.02 t)-0.02 t]+40.908exp[-8.694exp(-0.02 t)-0.02 t]}/ADFI/B;N_(Zn)={0.084[1925.600exp-4.347exp(-0.02 t)]^(0.75)+12.747exp[-4.347exp(-0.02 t)-0.02 t]+4.545exp[-8.694exp(-0.02 t)-0.02 t]-24.785exp[-4.347exp(-0.02 t)-0.02 t]+45.454exp[-8.694exp(-0.02 t)-0.02 t]}/ADFI/C;N Mn={0.021[1925.600exp-4.347exp(-0.02 t)]^(0.75)-0.236exp[-4.347exp(-0.02 t)-0.02 t]+2.273exp[-8.694exp(-0.02 t)-0.02 t]+0.590exp[-4.347exp(-0.02 t)-0.02 t]+0.045exp[-8.694exp(-0.02 t)-0.02 t]}/ADFI/D.In which N represented the daily dietary trace element requirement of each laying hen(mg/kg);t represented day of age;ADFI represented average daily feed intake(kg);A,B,C and D represented the digestibility(%)of copper,iron,zinc and manganese,respectively.4)The dynamic prediction models of copper,iron,zinc and manganese requirement with body weight of laying hens were as follows:N_(Cu)=(3.05×10^(-7) LBW^(2)-0.000703 LBW+0.3642+0.011 BW^(0.75))/ADFI/A;N_(Fe)=(3.4×10^(-6))LBW^(2)-0.0072 LBW+4.3268+0.211 BW^(0.75))/ADFI/B;N_(Zn)=(0.0012 LBW-0.2953+0.084 BW^(0.75))/ADFI/C;N Mn=(-1.8×10^(-6) LBW^(2)+0.0039 LBW-1.897+0.021 BW^(0.75))/ADFI/D.In which N represented the daily dietary trace element requirement of each laying hen(mg/kg);LBW represented live body weight(kg);BW^(0.75) represented metabolic body weight(g);ADFI represented average daily feed intake(kg);A,B,C and D represent the digestibility(%)of copper,iron,zinc and manganese,respectively.In conclusion,the requirement of copper,iron,zinc and manganese for Jing Tint 6 laying hens from 13 to 17 weeks is 0.02 to 0.03 mg/d,0.48 to 0.67 mg/d,0.29 to 0.40 mg/d and 0.03 to 0.05 mg/d,respectively,and a dynamic prediction model is established.
作者 米小梅 王凌峰 程千惠 武佳玉 安钰 许璐镕 齐德生 MI Xiaomei;WANG Lingfeng;CHENG Qianhui;WU Jiayu;AN Yu;XU Lurong;QI Desheng(College of Animal Science and Technology and College of Veterinary Medicine,Huazhong Agricultural University,Wuhan 430070,China)
出处 《动物营养学报》 CAS CSCD 北大核心 2024年第7期4316-4328,共13页 CHINESE JOURNAL OF ANIMAL NUTRITION
基金 国家重点研发计划(2021YFD1300405-12)。
关键词 蛋鸡 微量元素 需要量 动态预测模型 laying hens trace elements requirement dynamic prediction model
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