动物营养学报
動物營養學報
동물영양학보
ACTA ZOONUTRIMENTA SINICA
2014年
5期
1189-1202
,共14页
王超胜%贾刚%张克英%丁雪梅%吴秀群%吴彩梅%刘光芒
王超勝%賈剛%張剋英%丁雪梅%吳秀群%吳綵梅%劉光芒
왕초성%가강%장극영%정설매%오수군%오채매%류광망
玉米%蛋鸡%代谢能%氨基酸可利用率%近红外预测模型
玉米%蛋鷄%代謝能%氨基痠可利用率%近紅外預測模型
옥미%단계%대사능%안기산가이용솔%근홍외예측모형
corn%laying hens%metabolizable energy%amino acid availability%NIRS
本试验旨在评定产蛋鸡对30种不同来源玉米的代谢能和氨基酸可利用率,并探索适合于产蛋鸡饲料营养价值评定的方法。选择240只体重(1.60±0.10) kg、产蛋率90%的罗曼蛋鸡,按单因素完全随机设计分为30个组,每组8个重复,每个重复1只鸡。采用“训饲+全收粪法”测定30种不同来源玉米的代谢能和氨基酸可利用率,并在此基础上利用傅里叶近红外光谱(NIRS)分析技术建立玉米代谢能和氨基酸可利用率的NIRS预测模型。结果表明:1)产蛋鸡采食含89%玉米的30种试验饲粮后,产蛋率由90.00%下降至76.77%,蛋重、蛋白高度、蛋黄颜色、哈夫单位、蛋壳强度、蛋壳厚度、蛋黄比重的平均值分别为51.17 g、7.06 mm、8.08、84.62、3.80 kgf、31.14×10-2 mm、28.15%。2)30种不同来源玉米的代谢能范围为11.37~16.91 MJ/kg,平均值为15.26 MJ/kg;总氨基酸可利用率范围为82.06%~93.23%,平均值为87.47%;总必需氨基酸可利用率范围为82.37%~92.97%,平均值为86.70%;必需氨基酸中缬氨酸( Val)、异亮氨酸( Ile)、亮氨酸( Leu)、苯丙氨酸( Phe)、赖氨酸( Lys)、组氨酸( His)、精氨酸( Arg)、苏氨酸( Thr)可利用率的平均值分别为91.59%、74.52%、88.14%、93.13%、77.93%、86.06%、86.78%、95.42%。3)玉米代谢能NIRS预测模型的校正决定系数( R2cal )、交叉验证系数( R2cv )、外部检验系数(R2val)分别为0.99、0.94、0.95,预测均方根误差(RMSEP)为0.13 MJ/kg;氨基酸可利用率NIRS预测模型的R2cal、R2cv、R2val范围分别为0.91~0.99、0.81~0.98、0.79~0.97,RMSEP范围为0.10%~1.66%。由此得出:1)使用“训饲+全收粪法”评定产蛋鸡玉米的代谢能和氨基酸可利用率时,未对产蛋鸡的产蛋率和蛋品质产生较大影响;2)不同来源玉米间的代谢能、氨基酸可利用率存在差异;3)通过测定产蛋鸡玉米的代谢能和氨基酸可利用率,可建立起玉米代谢能和氨基酸可利用率的NIRS预测模型。
本試驗旨在評定產蛋鷄對30種不同來源玉米的代謝能和氨基痠可利用率,併探索適閤于產蛋鷄飼料營養價值評定的方法。選擇240隻體重(1.60±0.10) kg、產蛋率90%的囉曼蛋鷄,按單因素完全隨機設計分為30箇組,每組8箇重複,每箇重複1隻鷄。採用“訓飼+全收糞法”測定30種不同來源玉米的代謝能和氨基痠可利用率,併在此基礎上利用傅裏葉近紅外光譜(NIRS)分析技術建立玉米代謝能和氨基痠可利用率的NIRS預測模型。結果錶明:1)產蛋鷄採食含89%玉米的30種試驗飼糧後,產蛋率由90.00%下降至76.77%,蛋重、蛋白高度、蛋黃顏色、哈伕單位、蛋殼彊度、蛋殼厚度、蛋黃比重的平均值分彆為51.17 g、7.06 mm、8.08、84.62、3.80 kgf、31.14×10-2 mm、28.15%。2)30種不同來源玉米的代謝能範圍為11.37~16.91 MJ/kg,平均值為15.26 MJ/kg;總氨基痠可利用率範圍為82.06%~93.23%,平均值為87.47%;總必需氨基痠可利用率範圍為82.37%~92.97%,平均值為86.70%;必需氨基痠中纈氨痠( Val)、異亮氨痠( Ile)、亮氨痠( Leu)、苯丙氨痠( Phe)、賴氨痠( Lys)、組氨痠( His)、精氨痠( Arg)、囌氨痠( Thr)可利用率的平均值分彆為91.59%、74.52%、88.14%、93.13%、77.93%、86.06%、86.78%、95.42%。3)玉米代謝能NIRS預測模型的校正決定繫數( R2cal )、交扠驗證繫數( R2cv )、外部檢驗繫數(R2val)分彆為0.99、0.94、0.95,預測均方根誤差(RMSEP)為0.13 MJ/kg;氨基痠可利用率NIRS預測模型的R2cal、R2cv、R2val範圍分彆為0.91~0.99、0.81~0.98、0.79~0.97,RMSEP範圍為0.10%~1.66%。由此得齣:1)使用“訓飼+全收糞法”評定產蛋鷄玉米的代謝能和氨基痠可利用率時,未對產蛋鷄的產蛋率和蛋品質產生較大影響;2)不同來源玉米間的代謝能、氨基痠可利用率存在差異;3)通過測定產蛋鷄玉米的代謝能和氨基痠可利用率,可建立起玉米代謝能和氨基痠可利用率的NIRS預測模型。
본시험지재평정산단계대30충불동래원옥미적대사능화안기산가이용솔,병탐색괄합우산단계사료영양개치평정적방법。선택240지체중(1.60±0.10) kg、산단솔90%적라만단계,안단인소완전수궤설계분위30개조,매조8개중복,매개중복1지계。채용“훈사+전수분법”측정30충불동래원옥미적대사능화안기산가이용솔,병재차기출상이용부리협근홍외광보(NIRS)분석기술건립옥미대사능화안기산가이용솔적NIRS예측모형。결과표명:1)산단계채식함89%옥미적30충시험사량후,산단솔유90.00%하강지76.77%,단중、단백고도、단황안색、합부단위、단각강도、단각후도、단황비중적평균치분별위51.17 g、7.06 mm、8.08、84.62、3.80 kgf、31.14×10-2 mm、28.15%。2)30충불동래원옥미적대사능범위위11.37~16.91 MJ/kg,평균치위15.26 MJ/kg;총안기산가이용솔범위위82.06%~93.23%,평균치위87.47%;총필수안기산가이용솔범위위82.37%~92.97%,평균치위86.70%;필수안기산중힐안산( Val)、이량안산( Ile)、량안산( Leu)、분병안산( Phe)、뢰안산( Lys)、조안산( His)、정안산( Arg)、소안산( Thr)가이용솔적평균치분별위91.59%、74.52%、88.14%、93.13%、77.93%、86.06%、86.78%、95.42%。3)옥미대사능NIRS예측모형적교정결정계수( R2cal )、교차험증계수( R2cv )、외부검험계수(R2val)분별위0.99、0.94、0.95,예측균방근오차(RMSEP)위0.13 MJ/kg;안기산가이용솔NIRS예측모형적R2cal、R2cv、R2val범위분별위0.91~0.99、0.81~0.98、0.79~0.97,RMSEP범위위0.10%~1.66%。유차득출:1)사용“훈사+전수분법”평정산단계옥미적대사능화안기산가이용솔시,미대산단계적산단솔화단품질산생교대영향;2)불동래원옥미간적대사능、안기산가이용솔존재차이;3)통과측정산단계옥미적대사능화안기산가이용솔,가건립기옥미대사능화안기산가이용솔적NIRS예측모형。
This study was conducted to evaluate metabolizable energy ( ME) and amino acid availability of 30 corns from different sources, and to explore new methods for determining the nutritive values of feeds suitable for laying hens.A total of 240 Lohmann laying hens with an average body weight of (1.60±0.10) kg and 90%laying rate were randomly divided into 30 groups by single-factor completely random design.Each group had 8 replicates and 1 laying hen in each replicate.ME and amino acid availability of 30 corns from different sources were investigated by the trained feeding combined with a total collection of excreta, and then the near infrared spectroscopy ( NIRS) prediction models of corn ME and amino acid availability were established by Fourier NIRS analysis technique on the basis of determining the ME and amino acid availability of 30 corns from differ-ent sources.The result showed as follows:1) the laying rate reduced to 76.77%from 90.00%, and the aver-age values of 30 corns of egg weight, albumen height, yolk color, Haugh unit, egg shell strength, egg shell thickness and yolk relative weight were 76.77%, 51.17 g, 7.06 mm, 8.08, 84.62, 3.80 kgf, 31.14×10-2mm and 28.15%, respectively, after laying hens fed 30 experimental diets including 89%corn.2) The ME range of 30 corns from different sources was 11.37 to 16.91 MJ/kg, with average value of 15.26 MJ/kg.The ranges of total amino acid availability and total essential amino acid availability of 30 corns from different sources were 82.06%to 93.23%and 82.37%to 92.97%, with average values of 87.47%and 86.70%, respectively.The average values of 30 corns of valine, isoleucine leucine, phenylalanine, lysine, histidine, arginine and threo-nine availability were 91.59%, 74.52%, 88.14%, 93.13%, 77.93%, 86.06%, 86.78%and 95.42%, re-spectively.3) R2cal, R2cv, R2val and root-mean-square error of prediction (RMSEP) of NIRS prediction model for corn ME were 0.99, 0.94, 0.95, 0.13 MJ/kg.The ranges of R2cal, R2cv, R2val and RMSEP of NIRS prediction models for corn amino acid availability were 0.91 to 0.99, 0.81 to 0.94, 0.79 to 0.97, and 0.10%to 1.66%. These results indicate as follows:1) the method of the trained feeding combined with a total collection of ex-creta do not cause bigger effects on laying rate and egg quality when evaluating ME and amino acid availability of corn for laying hens;2) there are variations of ME and amino acid availability between corns from different sources;3) the NIRS prediction models of corn ME and amino acid availability are established according to the values of corn ME and amino acid availability in laying hens.