机构地区:[1]广东省农业科学院动物科学研究所,猪禽种业全国重点实验室,农业农村部华南动物营养与饲料重点实验室,广东省畜禽育种与营养研究重点实验室,广州510640
出 处:《动物营养学报》2025年第4期2265-2277,共13页CHINESE JOURNAL OF ANIMAL NUTRITION
基 金:广东省乡村振兴战略专项资金项目(2024TS-3-1);国家生猪产业技术体系专项(CARS-35);广州市科技计划项目(2024E04J0529);清远市科技计划项目(2023KJJ006)。
摘 要:本研究旨在建立我国3~25 kg仔猪消化能需要(DE_(i))、代谢能需要(ME_(i))、净能需要(NE_(i))的数学模型,确定3~25 kg仔猪的DE_(i)、ME_(i)、NE_(i)。为了确定方程参数,建立包括156个试验的数据库,试验提供了中国仔猪体重(BW)、平均日增重(ADG)、平均日采食量(ADFI)、饲粮配方。使用美国NRC(2012)的饲料成分数据库重新计算饲粮消化能、代谢能和净能。在文献基础上建立了中国仔猪ADG、ADFI和BW的回归方程,计算了不同阶段的ADG和ADFI。采用经验法和析因法建立了3~25 kg仔猪的DE_(i)、ME_(i)、NE_(i)动态模型,并用文献资料对模型进行了验证。结果显示:1)3~25 kg仔猪的ADG和ADFI回归方程为ADG(g)=-0.2703×BW^(2)+31.855×BW+39.713(BW:kg,R^(2)=0.7926,P<0.01);ADFI(g)=46.817×BW^(1.0237)(BW:kg,R^(2)=0.8710,P<0.01)。2)经验法建立的DE_(i)、ME_(i)、NE_(i)预测模型为DE_(i)(kJ/d)=-2.0472×BW^(2)+772.21×BW-104.18(BW:kg,R^(2)=0.8619,P<0.01);ME_(i)(kJ/d)=-1.436×BW^(2)+727.39×BW-26.462(BW:kg,R^(2)=0.8581,P<0.01);NE_(i)(kJ/d)=544.46×BW^(0.988)(BW:kg,R^(2)=0.8463,P<0.01);析因法建立的DE_(i)、ME_(i)、NE_(i)预测模型为DE_(i)(kJ/d)=2.276×ADG^(1.319)+460×BW^(0.75)(ADG:g,BW:kg,R^(2)=0.8633,P<0.01);ME_(i)(kJ/d)=2.1488×ADG^(1.3213)+444×BW^(0.75)(ADG:g,BW:kg,R^(2)=0.8628,P<0.01);NE_(i)(kJ/d)=1.6115×ADG^(1.3148)+326×BW^(0.75)(ADG:g,BW:kg,R^(2)=0.8608,P<0.01)。3)模型验证发现,相比经验法,析因法建立的有效能预测模型所得预测值更接近于仔猪实际有效能需要,能更有效地评价3~25 kg仔猪的有效能需要。4)通过析因法得到3~25 kg仔猪消化能转化为代谢能的效率为96%,代谢能转化为净能的效率为75%~76%。综上所述,通过析因法可以有效评估3~25 kg仔猪的有效能需要,3~8 kg仔猪的DE_(i)、ME_(i)、NE_(i)分别为4234、4063、3059 kJ/d,8~25 kg仔猪的DE_(i)、ME_(i)、NE_(i)分别为11857、11376、8611 kJ/d。The objective of this study was to establish mathematical models for the digestible energy requirement(DE_(i)),metabolizable energy requirement(ME_(i))and net energy requirement(NE_(i))of 3 to 25 kg piglets in China,and to determine the DE_(i),ME_(i)and NE_(i)of 3 to 25 kg piglets.In order to determine the parameters of the equation,a database including 190 trials was established,which provided piglet body weight(BW),average daily gain(ADG),average daily feed intake(ADFI),and diet formulation.Dietary digestible energy,metabolizable energy,and net energy were recalculated using the feed composition database of the swine nutritional requirements of United States NRC(2012).Based on the literatures,the regression equations of ADG,ADFI and BW of Chinese piglets were established,and the ADG and ADFI at different stages were calculated.The dynamic models of DE_(i),ME_(i)and NE_(i)of 3 to 25 kg piglets were established by empirical method and factorial method,and the models were verified by literature data.The results showed as follows:1)the regression equations of ADG and ADFI for 3 to 25 kg piglets were ADG(g)=-0.2703×BW^(2)+31.855×BW+39.713(BW:kg,R^(2)=0.7926,P<0.01);ADFI(g)=46.817×BW^(1.0237)(BW:kg,R^(2)=0.8710,P<0.01).2)The prediction models of DE_(i),ME_(i)and NE_(i)established by empirical method were DE_(i)(kJ/d)=-2.0472×BW^(2)+772.21×BW-104.18(BW:kg,R^(2)=0.8619,P<0.01);ME_(i)(kJ/d)=-1.436×BW^(2)+727.39×BW-26.462(BW:kg,R^(2)=0.8581,P<0.01);NE_(i)(kJ/d)=544.46×BW^(0.988)(BW:kg,R^(2)=0.8463,P<0.01).The prediction models of DE_(i),ME_(i)and NE_(i)established by factorial method were DE_(i)(kJ/d)=2.276×ADG^(1.319)+460×BW^(0.75)(ADG:g,BW:kg,R^(2)=0.8633,P<0.01);ME_(i)(kJ/d)=2.1488×ADG^(1.3213)+444×BW^(0.75)(ADG:g,BW:kg,R^(2)=0.8628,P<0.01);NE_(i)(kJ/d)=1.6115×ADG^(1.3148)+326×BW^(0.75)(ADG:g,BW:kg,R^(2)=0.8608,P<0.01).3)Model verification found that the predictive value obtained by the factorial method was closer to the actual available energy requirement of piglets than the empirical method and was mor
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