动物营养学报
動物營養學報
동물영양학보
Chinese Journal Of Animal Nutrition
2015年
9期
2705-2713
,共9页
米成林%贾刚%陈小玲%赵华%刘光芒%王康宁%文敏
米成林%賈剛%陳小玲%趙華%劉光芒%王康寧%文敏
미성림%가강%진소령%조화%류광망%왕강저%문민
天府肉鸭%玉米%净能%化学组成%预测模型
天府肉鴨%玉米%淨能%化學組成%預測模型
천부육압%옥미%정능%화학조성%예측모형
Tianfu ducks%corn%net energy%chemical composition%prediction models
本研究旨在评定天府肉鸭上玉米的净能( NE ) ,并通过回归分析构建与其化学成分相关的预测模型. 试验共选出7日龄时平均体重为(125.01±11.33) g的天府肉鸭860只,4~7日龄为预试期,7~15 日龄为正试期. 采用析因法将玉米的 NE 剖分为提供给肉鸭的维持净能( NEm)和生产净能( NEp). NEm用肉鸭禁食产热( FHP)计算得到,FHP用回归法测定,即用食入代谢能( MEI)和产热( HP)建立回归方程,并外推到MEI为0时的HP即为FHP;NEm试验共使用肉鸭120只,20只在7日龄时屠宰作为对照,剩下的设自由采食、限饲20%、限饲32%、限饲44%和限饲54%共5个饲喂水平. NEp采用比较屠宰试验测定,共使用肉鸭740只,试验初屠宰20只用作对照,剩余的分为36个处理. NEm和NEp试验均是每个处理5个重复,每个重复4只. 15日龄时将肉鸭全部屠宰. 将所测玉米NE与其化学成分进行回归分析并建立预测模型. 试验结果表明:玉米提供给天府肉鸭的 NEm 为( 0. 95 ± 0. 05 ) MJ/kg, NEp 为( 8. 49 ± 0.35) MJ/kg,玉米的NE为(9.44±0.35) MJ/kg,代谢能转化为NE的效率为(70.12±2.00)%;使用玉米NE和其化学成分进行多元线性逐步回归,得到的最优模型为NE=6.956-0.13NDF+0.446EE-0.264ADF+0.241AME,其R2 为0.923,RSD为0.03 MJ/kg. 由此可见,通过玉米化学成分建立预测模型评估玉米NE是可行的.
本研究旨在評定天府肉鴨上玉米的淨能( NE ) ,併通過迴歸分析構建與其化學成分相關的預測模型. 試驗共選齣7日齡時平均體重為(125.01±11.33) g的天府肉鴨860隻,4~7日齡為預試期,7~15 日齡為正試期. 採用析因法將玉米的 NE 剖分為提供給肉鴨的維持淨能( NEm)和生產淨能( NEp). NEm用肉鴨禁食產熱( FHP)計算得到,FHP用迴歸法測定,即用食入代謝能( MEI)和產熱( HP)建立迴歸方程,併外推到MEI為0時的HP即為FHP;NEm試驗共使用肉鴨120隻,20隻在7日齡時屠宰作為對照,剩下的設自由採食、限飼20%、限飼32%、限飼44%和限飼54%共5箇飼餵水平. NEp採用比較屠宰試驗測定,共使用肉鴨740隻,試驗初屠宰20隻用作對照,剩餘的分為36箇處理. NEm和NEp試驗均是每箇處理5箇重複,每箇重複4隻. 15日齡時將肉鴨全部屠宰. 將所測玉米NE與其化學成分進行迴歸分析併建立預測模型. 試驗結果錶明:玉米提供給天府肉鴨的 NEm 為( 0. 95 ± 0. 05 ) MJ/kg, NEp 為( 8. 49 ± 0.35) MJ/kg,玉米的NE為(9.44±0.35) MJ/kg,代謝能轉化為NE的效率為(70.12±2.00)%;使用玉米NE和其化學成分進行多元線性逐步迴歸,得到的最優模型為NE=6.956-0.13NDF+0.446EE-0.264ADF+0.241AME,其R2 為0.923,RSD為0.03 MJ/kg. 由此可見,通過玉米化學成分建立預測模型評估玉米NE是可行的.
본연구지재평정천부육압상옥미적정능( NE ) ,병통과회귀분석구건여기화학성분상관적예측모형. 시험공선출7일령시평균체중위(125.01±11.33) g적천부육압860지,4~7일령위예시기,7~15 일령위정시기. 채용석인법장옥미적 NE 부분위제공급육압적유지정능( NEm)화생산정능( NEp). NEm용육압금식산열( FHP)계산득도,FHP용회귀법측정,즉용식입대사능( MEI)화산열( HP)건립회귀방정,병외추도MEI위0시적HP즉위FHP;NEm시험공사용육압120지,20지재7일령시도재작위대조,잉하적설자유채식、한사20%、한사32%、한사44%화한사54%공5개사위수평. NEp채용비교도재시험측정,공사용육압740지,시험초도재20지용작대조,잉여적분위36개처리. NEm화NEp시험균시매개처리5개중복,매개중복4지. 15일령시장육압전부도재. 장소측옥미NE여기화학성분진행회귀분석병건립예측모형. 시험결과표명:옥미제공급천부육압적 NEm 위( 0. 95 ± 0. 05 ) MJ/kg, NEp 위( 8. 49 ± 0.35) MJ/kg,옥미적NE위(9.44±0.35) MJ/kg,대사능전화위NE적효솔위(70.12±2.00)%;사용옥미NE화기화학성분진행다원선성축보회귀,득도적최우모형위NE=6.956-0.13NDF+0.446EE-0.264ADF+0.241AME,기R2 위0.923,RSD위0.03 MJ/kg. 유차가견,통과옥미화학성분건립예측모형평고옥미NE시가행적.
The present study was conducted to evaluate the net energy of corn and to establish prediction mod-els for net energy of corn based on its chemical composition for Tianfu ducks. A total of 860 ducks with an av-erage weight of (125.01±11.33) g at the age of 7 days were picked out for the experiment. The duck from 4 to 7 days of age was the pretest period of the experiment, and the formal experiment period was from 7 to 15 days of age. The net energy of corn equivalented to the sum of the net energy for maintenance ( NEm) and net energy for production ( NEp) on ducks. NEm was estimated by fasting heat production ( FHP) . The FHP was measured by establishing regression equation and extrapolating HP measured at 5 feeding levels including ad li-bitum and restricted feeding by 20%, 32%, 44% and 54% to zero ME intake. A total of 120 ducks were se-lected for the evaluation of NEm from which 20 ducks were slaughtered at 7 days of age to obtain baseline body energy. The other 100 ducks were randomly allotted to the 5 feed levels. NEp was calculated using the compar-ative slaughter technique. A total of 740 ducks were picked out for the experiment of NEp, from which 20 ducks were killed to obtain baseline body energy at the beginning of the experiment and others were randomly allotted to 36 corns. Both in the experiment of NEm and NEp each treat group was provided to 20 ducks housed in cages with 4 ducks per repetition and 5 replications. At the end of experiment all ducks were slaughtered to determine final body energy. Multiple linear stepwise regression analyses were conducted to evaluate the pre-dictability of the net energy values and the chemical composition of corns. The results showed that NEm and NEp of duck provided by corn were (8.49±0.35) and (0.95±0.05) MJ/kg, respectively. The NE of corn were (9.44±0.35) MJ/kg, and the net energy values contributed (70.12±2.00)% of the apparent metaboliza-ble energy. The best prediction model was NE=6.956-0.13NDF+0.446EE-0.264ADF+0.241AME, in which R2 and RSD were 0.923 and 0.03 MJ/kg, respectively. Therefore, it is feasible to evaluate NE of corn by pre-diction model established based on its chemical composition.