生长育肥猪菜籽饼消化能和代谢能的测定及预测模型的建立  被引量:1

Determination and Prediction Model Establishment of Digestible Energy and Metabolizable Energy of Rapeseed Cake for Growing-Finishing Pigs

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作  者:唐辉 刘小杰 欧阳晴 邓梦龙 谢正军 冯淦熠 蒋线吉 李瑞 周锡红[1] 印遇龙[1] TANG Hui;LIU Xiaojie;OUYANG Qing;DENG Menglong;XIE Zhengjun;FENG Ganyi;JIANG Xianji;LI Rui;ZHOU Xihong;YIN Yulong(Key Laboratory of Agro-Ecological Processes in Subtropical Region of Chinese Academy of Sciences,National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology,Key Laboratory of Animal Nutritional Physiology and Metabolic Process of Hunan,Institute of Subtropical Agriculture,Chinese Academy of Sciences,Changsha 410125,China;Hunan Co-Innovation Center of Animal Production Safety,College of Animal Science and Technology,Hunan Agricultural University,Changsha 410128,China;Twins Group Co.,Ltd.,Nanchang 330096,China)

机构地区:[1]中国科学院亚热带农业生态研究所,中国科学院亚热带农业生态过程重点实验室,畜禽养殖污染控制与资源化技术国家工程实验室,动物营养生理与代谢过程湖南省重点实验室,长沙410125 [2]湖南农业大学动物科学技术学院,湖南畜禽安全生产协同创新中心,长沙410128 [3]双胞胎(集团)股份有限公司,南昌330096

出  处:《动物营养学报》2024年第4期2208-2217,共10页CHINESE JOURNAL OF ANIMAL NUTRITION

基  金:云南省重大科技专项计划(202202AE090032);湖南省自然科学基金(2022JJ40532);院企合作项目(E241020501)。

摘  要:本试验测定了不同来源的10个菜籽饼的化学成分以及生长育肥猪消化能(DE)和代谢能(ME),并基于其有效化学成分含量构建DE和ME预测方程。选取健康的、初始体重为(51.2±1.7)kg的杂交[杜×(长×大)]阉公猪22头,采用2个不完全的11×3拉丁方设计,分别饲喂10个菜籽饼饲粮和1个基础饲粮,菜籽饼饲粮以菜籽饼替代基础饲粮的20%,试验共3个周期,每个周期包括7 d预试期和5 d粪尿收集期,采用全收粪、尿法和套算法测定生长育肥猪对菜籽饼的DE和ME。结果显示:1)在饲喂基础上,10个菜籽饼的干物质(DM)含量为87.95%~94.68%,总能(GE)为18.45~20.84 MJ/kg,粗蛋白质(CP)、粗脂肪(EE)、粗灰分(Ash)、粗纤维(CF)、中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)、钙(Ca)、总磷(TP)和总硫苷(TGS)含量分别为35.15%~43.61%、5.48%~11.76%、5.99%~7.75%、8.26%~11.32%、21.89%~48.61%、13.13%~22.87%、0.50%~0.62%、0.92%~1.30%和20.25~25.02μmol/g,其中EE、CF、NDF、ADF和TGS含量的变异系数均超过了10%。2)在饲喂基础上,10个菜籽饼的DE和ME平均值分别为13.49和12.43 MJ/kg。3)菜籽饼NDF含量与DE、ME均呈极显著负相关(P<0.01),DE和ME的最佳预测方程分别为DE=15.398-0.063×NDF[剩余标准差(RSD)=0.134,决定系数(R 2)=0.954,P<0.01]和ME=14.690-0.075×NDF(RSD=0.141,R 2=0.963,P<0.01)。综上可知,不同来源菜籽饼的纤维组分的变异性较大,NDF含量是菜籽饼生长育肥猪DE与ME的最佳预测因子。The aim of this experiment was to determine the digestible energy(DE)and metabolizable energy(ME)of rapeseed cake fed to growing-finishing pigs,and to establish prediction equations for DE and ME based on the effective chemical content of rapeseed cake.A total of 22 healthy castrated male pigs[Duroc×(Landrace×Large White)]were selected with an initial body weight of(51.2±1.7)kg for this experiment.Two incomplete 11×3 Latin square designs were employed,pigs were fed with 10 rapeseed cake diets and 1 basal diet,where the rapeseed cake diets replaced 20% of the basal diet with rapeseed cake.The experiment comprised 3 periods,each consisting of a 7-day adaptation period and a 5-day collection period for feces and urine.The total fecal and urine collection method and difference method were used to determine the DE and ME of rapeseed cake fed to growing-finishing pigs.The results showed as follows:1)as-fed basis,the dry matter(DM)content of the 10 types of rapeseed cake samples ranged from 87.95% to 94.68%,gross energy(GE)ranged from 18.45 to 20.84 MJ/kg,and the contents of crude protein(CP),ether extract(EE),crude ash(Ash),crude fiber(CF),neutral detergent fiber(NDF),acid detergent fiber(ADF),calcium(Ca),total phosphorus(TP),and total glucosinolates(TGS)ranged from 35.15% to 43.61%,5.48% to 11.76%,5.99% to 7.75%,8.26% to 11.32%,21.89% to 48.61%,13.13% to 22.87%,0.50% to 0.62%,0.92% to 1.30%,and 20.25 to 25.02μmol/g,respectively.The variation coefficients of EE,CF,NDF,ADF and TGS contents were all higher than 10%.2)As-fed basis,the average values of DE and ME of 10 types of rapeseed cake samples were 13.49 and 12.43 MJ/kg,respectively.3)The NDF content of rapeseed cake exhibited an extremely significant negative correlation with both DE and ME(P<0.01).The optimal prediction equations for DE and ME were as follows:DE=15.398-0.063×NDF[residual standard deviation(RSD)=0.134,coefficient of determination(R 2)=0.954,P<0.01]and ME=14.690-0.075×NDF(RSD=0.141,R 2=0.963,P<0.01).In conclusion,there is significant variation

关 键 词:菜籽饼 生长育肥猪 消化能 代谢能 预测模型 

分 类 号:S828[农业科学—畜牧学]

 

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