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1.
本试验旨在应用套算法分析肉用绵羊常用10种粗饲料的概略养分含量对其有效能值及消化率的影响,基于概略养分含量建立粗饲料代谢能(ME)及营养物质消化率的预测模型。采用消化代谢试验和呼吸代谢试验结合套算法测定10种常用粗饲料的营养物质消化率、消化能(DE)及ME,在分析各种原料概略养分含量、消化率、DE和ME的基础上,筛选出最佳预测因子并建立有效能值预测方程。结果表明:单一粗饲料各营养物质消化率、有效能值存在显著性差异(P0.05)。单一粗饲料干物质(DM)、有机物(OM)、总能(GE)、粗蛋白质(CP)、中性洗涤纤维(NDF)的消化率与其DM、OM、GE、CP含量均呈极显著正相关(P0.01),与其NDF、酸性洗涤纤维(ADF)含量呈极显著负相关(P0.01)。DE和ME与其DM、OM、GE、CP含量均呈极显著正相关(P0.01),而与其NDF和ADF含量呈极显著负相关(P0.01)。综合得出,可以通过概略养分预测粗饲料营养物质消化率,能量消化率(ED)的预测方程为:ED(%)=99.013+9.588 GE+0.157 CP-0.457 ADF-1.981 OM-0.213 NDF(R2=0.974,n=60,P0.01)。可以通过概略养分预测粗饲料有效能值,随着预测因子的增加,方程精确性有所提高,M E的预测方程为:ME(MJ/kg)=-6.943-0.101NDF+0.704GE-0.101ADF+0.138OM+0.032 CP(R2=0.994,n=60,P0.01)。  相似文献   

2.
肉用绵羊饲料养分消化率和有效能预测模型的研究   总被引:5,自引:0,他引:5  
旨在建立肉用绵羊饲料营养成分消化率和有效能预测模型。选用(47.21±1.01)kg,安装瘤胃瘘管的杜泊羊(♂)×小尾寒羊(♀)杂交1代肉用公羊12只,采用12×4不完全拉丁方设计,分别测定12种日粮的概略养分含量,通过动物试验实测养分消化率和有效能值,并进行消化率和有效能与化学成分的一元或多元线性回归分析,建立预测模型。结果表明,干物质(DM)、有机物(OM)、总能(GE)和粗蛋白质(CP)的消化率与它们在饲料中的含量均呈极显著正相关(P<0.01),而与中性洗涤纤维(NDF)呈极显著负相关(P<0.01)。NDF消化率与饲料中的OM、GE和CP均呈显著负相关(P<0.05),与NDF呈极显著正相关(P<0.01)。消化能(DE)和代谢能(ME)与饲料中的OM、GE和CP的含量均呈极显著正相关(P<0.01),而与NDF呈极显著负相关(P<0.01)。用饲料中概略养分含量预测能量消化率(ED)和代谢能的预测模型分别为:ED(%)=194.907-0.987NDF(%)-0.901OM-0.603CP(%)(R2=0.966,n=12,P<0.001)和ME(MJ.kg-1 DM)=50.245-0.136NDF(%)-0.394OM(%)-0.012CP(%)(R2=0.901,n=12,P<0.001)。饲料中的营养成分消化率与概略养分含量存在明显的相关性,各种有效能值与营养成分之间的相关性显著,通过概略养分可对饲料的养分消化率和有效能进行比较准确的预测。  相似文献   

3.
本试验旨在通过概略养分或可消化养分建立肉用绵羊配合饲料代谢能预测模型。选取66只18月龄体重为(49.6±1.3)kg的杜泊×小尾寒羊F1代杂交去势肉羊,采用完全随机试验设计。共11个处理,包括1个基础饲粮组和10个试验饲粮组。分别测定10种试验饲粮的概略养分和可消化养分;代谢试验测定10种试验饲粮的消化能(DE)和代谢能(ME);线性回归方法建立代谢能与概略养分和可消化养分的预测模型。结果表明,饲粮的OMD和GED与CP、NDF、ADF、GE相关极显著(P0.01);CPD与CP、NDF、ADF相关极显著(P0.01),与OM相关显著(P0.05);NDFD和ADFD与GE和CP相关极显著(P0.01),NDFD与OM和NDF相关显著(P0.05)。建立的饲料概略养分代谢能预测模型:ME(MJ·kg-1)=38.881-19.516ADF(%)-28.672OM(%)(R2=0.640,n=60,P0.01);可消化养分代谢能预测模型:ME(MJ·kg-1)=1.613DE(MJ·kg-1)-14.705DOM(%)+2.743DNDF(%)-3.179(R2=0.879,n=60,P0.01)。综上表明,饲料概略养分和可消化养分与代谢能之间相关性显著,可以通过概略养分和可消化养分对饲料的代谢能进行有效的预测。  相似文献   

4.
本试验旨在用套算法和插值法测定与估测肉用绵羊花生秧有效能值,确定替代法中饲粮中适宜花生秧替代比例,为单一秸秆饲料有效能值的测定与估测提供方法学上的参考。选用体重为(45.00±1.96)kg的体况良好的杜泊×小尾寒羊F1肉用成年羯羊54只,采用随机区组设计,分为9组,饲粮分别为基础饲粮、全花生秧饲粮和分别以10%、20%、30%、40%、50%、60%、70%花生秧替代基础饲粮的试验饲粮,每组6个重复,每个重复1只羊。预试期10 d,正试期9 d,其中气体代谢试验3 d,消化代谢试验6 d。结果表明:1)全花生秧饲粮组花生秧干物质(DM)表观消化率与20%、30%、40%组间差异不显著(P0.05),显著高于其他各组(P0.05)。全花生秧饲粮组花生秧有机物(OM)表观消化率与20%组差异不显著(P0.05),但显著高于其他各组(P0.05)。全花生秧饲粮组花生秧总能(GE)、中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)、粗脂肪(EE)表观消化率显著高于10%组(P0.05),粗蛋白质(CP)表观消化率显著低于10%组(P0.05),与其他各组间差异不显著(P0.05)。2)花生秧消化能(DE)、代谢能(ME)均具有相同的规律,即全花生秧饲粮组DE、ME(8.57、6.69 MJ/kg DM)与20%(8.22、6.58 M J/kg DM)、30%(8.02、6.50 M J/kg DM)、40%组(8.10、6.52 M J/kg DM)差异不显著(P0.05),但显著高于其他组(P0.05)。3)插值法求得花生秧M E"真值"为6.62 M J/kg DM,接近于套算法得到的花生秧ME。综合得出,套算法可以用于肉用绵羊估测花生秧(单一粗饲料)的DE和M E;用套算法测定花生秧秸秆类粗饲料有效能值,其在饲粮中的适宜替代比例为20%~40%。  相似文献   

5.
本试验旨在研究不同中性洗涤纤维(NDF)水平饲粮对羔羊生长性能、营养物质表观消化率、消化道重量及瘤胃乳头发育的影响。选用60只体况良好,体重为(3.23±0.20) kg的初生母羔羊,随机分为4组,每组5个重复,每个重复3只羊。试验羔羊于10日龄补饲开食料,开食料NDF水平分别为12%(12NDF组)、16%(16NDF组)、20%(20NDF组)和24%(24NDF组)的饲粮。试验期60 d,饲养试验所有羔羊均随母哺乳,消化试验所有羔羊不随母哺乳。结果显示:1)随着日龄的增加,羔羊的体重极显著增加(P0.01);各日龄阶段日增重均差异不显著(P0.05);随日龄的增加,羔羊干物质采食量(DMI)极显著增加(P0.01),饲喂不同NDF水平饲粮,各组羔羊DMI差异不显著(P0.05)。2)24NDF组羔羊干物质(DM)、有机物(OM)采食量和总能(GE)摄入量显著高于16NDF、20NDF组(P0.05)。24NDF组羔羊粗蛋白(CP)采食量显著高于20NDF组(P0.05);24NDF组羔羊中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)采食量极显著高于20NDF组(P0.01),20NDF组极显著高于16NDF、12NDF组(P0.01);24NDF组羔羊DM、OM表观消化率显著低于12NDF、16NDF组(P0.05),24NDF组GE表观消化率显著低于16NDF组(P0.05),但20NDF、24NDF组NDF、ADF表观消化率显著或极显著高于12NDF组(P0.05或P0.01);24NDF组羔羊粪能显著高于12NDF、16NDF和24NDF组(P0.05)。各试验组CP表观消化率和消化能差异不显著(P0.05)。3)12NDF组羔羊全胃重显著高于16NDF、20NDF组(P0.05)。12NDF组羔羊瘤胃重显著高于20NDF组(P0.05)。12NDF组羔羊瘤胃占宰前活重的比例显著高于16NDF、20NDF和24NDF组(P0.05)。12NDF组羔羊十二指肠重及十二指肠占宰前活重的比例显著高于16NDF组(P0.05)。其余各指标均差异不显著(P0.05)。综上所述,母羔羊在0~60日龄最适的NDF水平为16%~20%。  相似文献   

6.
研究旨在探讨油菜秸秆与皇竹草混合微贮料对锦江黄牛体内营养物质消化率的影响。试验选用6头健康、25月龄左右及体质量为(246.33±30.25)kg的锦江黄牛生长公牛,随机分为对照组和试验组,每组3头牛。对照组饲喂未处理的比例为3∶7的油菜秸秆和皇竹草;试验组饲喂比例为3∶7并添加150 mg/kg乳酸粪肠球菌复合菌处理的油菜秸秆与皇竹草混合微贮料。试验为期20 d,试验最后5 d采用全收粪法收集粪便。测定总能(GE)、干物质(DM)、有机物质(OM)、粗蛋白质(CP)、中性洗涤纤维(NDF)和酸性洗涤纤维(ADF)等营养物质的表观消化率。结果表明:试验组的DM、OM、GE、CP、NDF和ADF在锦江黄牛体内的消化率均极显著高于对照组(P0.01)。结果表明:在油菜秸秆与皇竹草按照3∶7混合,并添加150 mg/kg乳酸粪肠球菌进行混合微贮,可极显著提高锦江黄牛对GE、DM、OM、CP、NDF和ADF的表观消化率(P0.01)。  相似文献   

7.
本试验应用套算法分析肉羊常用蛋白质饲料原料中的营养成分含量和可消化营养成分对有效能值的影响,基于饲料原料中的营养成分含量和可消化营养成分建立蛋白质饲料原料代谢能(ME)的预测模型。选取36只22月龄、体重为(52.6±1.4)kg的杜泊×小尾寒羊F1代杂交去势肉羊,采用完全随机区组设计分为6个处理,包括1个基础饲粮处理和5个试验饲粮处理,每个处理6只羊。利用消化代谢试验和呼吸代谢试验并结合套算法计算5种蛋白质饲料原料的消化能(DE)和ME,并分析蛋白质饲料原料DE、ME与该原料中营养成分[干物质(DM)、有机物(OM)、总能(GE)、粗蛋白质(CP)、粗脂肪(EE)、中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)]和可消化营养成分[可消化干物质(DDM)、可消化有机物(DOM)、可消化粗蛋白质(DCP)、可消化粗脂肪(DEE)、可消化中性洗涤纤维(DNDF)、可消化酸性洗涤纤维(DADF)]含量之间的相关关系。结果表明:饲料原料中的OM、DDM、DOM、DCP含量与DE和ME均存在极显著正相关(P0.01);另外,DADF与DE存在极显著负相关(P0.01),与ME存在显著负相关(P0.05)。通过饲料原料中的营养成分含量预测ME的方程为:ME(MJ/kg)=-82.855+2.391OM(%)+1.802EE(%)-6.21GE(MJ/kg)-0.121ADF(%)(R2=0.910,n=30,P0.01);通过饲料原料中的可消化营养成分含量预测ME的方程为:ME(MJ/kg)=-5.564+30.526DOM(%)+55.402DEE(%)(R2=0.841,n=30,P0.01);通过饲料原料中的可消化营养成分含量与DE共同预测ME的方程为:ME=-5.787+1.126DE(MJ/kg)+20.769DEE(%)(R2=0.879,n=30,P0.01)。综上所述,在本试验中,蛋白质饲料原料中的部分营养成分和可消化营养成分含量与ME之间存在显著相关,可通过饲料原料中的营养成分和可消化营养成分含量对肉羊蛋白质饲料原料的ME进行有效预测。  相似文献   

8.
饲粮中棉秆比例对绵羊生长性能和消化性能的影响   总被引:2,自引:0,他引:2  
本试验旨在研究饲粮中不同比例棉秆对绵羊生长性能和营养物质表观消化率的影响及棉秆中营养物质在绵羊体内的消化代谢参数。试验采用单因素完全随机试验设计,将体重相近的50只试验羊随机分为5组,每组10只,对照组(CK组)饲喂全价颗粒基础饲粮,试验组饲粮分别以棉秆替代10%(A组)、20%(B组)、30%(C组)和40%(D组)的基础饲粮。试验全期68 d,其中预试期7 d,饲养试验53 d,消化代谢试验8 d。结果表明:1)平均日增重(ADG)随棉秆替代比例的增加而下降,表现为C组和D组极显著低于CK组(P0.01),显著低于A组(P0.05),CK组、A组和B组之间差异不显著(P0.05);干物质采食量无显著变化(P0.05)。2)饲粮中营养物质的表观消化率随棉秆替代比例的增加而依次下降,其中D组比CK组的干物质(DM)、有机物(OM)、粗蛋白质(CP)、粗纤维(EE)、中性洗涤纤维(NDF)和酸性洗涤纤维(ADF)的表观消化率分别低17.17%(P0.01)、18.22%(P0.01)、12.14%(P0.01)、36.36%(P0.01)、26.26%(P0.01)和36.24%(P0.05)。3)棉秆中营养物质的表观消化率随替代比例的增加表现不一。当棉秆替代比例为30%时,棉秆中营养物质的表观消化率均处于较高水平。C组和D组DM和OM表观消化率极显著高于A组和B组(P0.01);A组CP和NDF的表观消化率极显著低于B组、C组和D组(P0.01)。本试验条件下,棉秆可以作为粗饲料用于育肥羊生产,替代比例以30%为宜。  相似文献   

9.
甘氨酰谷氨酰胺和牛磺酸对断奶仔猪肠道吸收功能的影响   总被引:1,自引:0,他引:1  
研究甘氨酰谷氨酰胺和牛磺酸对断奶仔猪肠道吸收功能的影响。以28日龄断奶杜长大仔猪为研究对象,通过消化试验,研究甘氨酰谷氨酰胺和牛磺酸对早期断奶仔猪主要营养物质蛋白质、钙、磷、有机物及D-木糖的影响。日粮中分别或同时添加甘氨酰谷氨酰胺和牛磺酸极显著提高了仔猪断奶后11d时的D-木糖吸收能力,钙(Ca)、磷(P)的消化率(P0.01);Gly-Gln组有提高粗蛋白质(CP)、干物质(DM)、有机物(OM)消化率的趋势(P0.05);Tau组极显著提高了CP的消化率(P0.01),显著提高了DM、OM的消化率(P0.05);复配组显著提高了DM的消化率(P0.05),对CP、OM的影响较小(P0.05)。在早期断奶仔猪日粮中分别或同时添加0.25%甘氨酰谷氨酰胺和0.1%牛磺酸能有效地提高其肠道吸收功能。  相似文献   

10.
本试验旨在研究饲粮粗蛋白质(CP)和代谢能(ME)水平对1~3周龄四川白鹅生长性能及氮和能量平衡的影响.采用3×3双因素试验设计,设3个ME水平(12.86、12.13、11.43MJ/kg)和3个CP水平(23%、20%、17%),配制9种试验饲粮.选择540只体重相近、健康的1日龄四川白鹅,随机分成9组,每组4个重复,每个重复15只.试验期为21 d.结果表明:1)随着饲粮CP水平的升高,试验鹅的末重、平均日增重、每克增重消耗CP量显著(P<0.05)或极显著(P<0.01)升高,料重比、每克增重消耗ME量显著(P<0.05)或极显著(P<0.01)降低.饲粮CP和ME水平的互作对试验鹅每克增重消耗的CP量和每克增重消耗的ME量有极显著的影响(P<0.01).2)试验鹅的氮利用率随饲粮CP水平的升高极显著降低(P<0.01);试验鹅的食入总能(GE)、ME、GE代谢率随饲粮ME水平增加极显著降低(P<0.01).研究结果提示,1~3周龄四川白鹅适宜CP水平为20%,适宜ME水平为11.43 MJ/kg.  相似文献   

11.
Grass silages (n = 136) were selected from commercial farms across Northern Ireland according to their pH, ammonia nitrogen, DM, and predicted ME concentration. Each silage was offered to four sheep as a sole feed at maintenance feeding level to determine nutrient digestibility and urinary energy output. Dry matter concentration was determined as alcohol-corrected toluene DM and was subsequently used as the basis for all nutrient concentrations. The objectives were to use these data to examine relationships between nutritive value and nutrient concentration or fermentation characteristics in silages and then develop prediction equations for silage nutritive values using stepwise multiple regression techniques. The silages had a large range in quality (DM = 15.5 to 41.3%, ME = 7.7 to 12.9 MJ/kg of DM, pH = 3.5 to 5.5) and a relatively even distribution over the range. There was a positive relationship (P < 0.001) between silage GE and DE or ME concentration. Digestible OM in total DM (DOMD); ME/GE; and digestibility of DM, OM, and GE were positively related (P < 0.05) to CP, soluble CP, ether extract, lactic acid concentration, and lactic acid/ total VFA, whereas they were negatively related (P < 0.05) to ADF, NDF, lignin, individual VFA concentration, pH, and ammonia N/total N. Concentrations of DE and ME and digestibility of CP and NDF had similar relationships with those variables, although some relationships were not significant. Three sets of multiple prediction equations for DE and ME concentration; ME/ GE; DOMD; and digestibility of DM, OM, GE, CP, and NDF were therefore developed using three sets of predictors. The first set included GE, CP, soluble N/total N, DM, ash, NDF, lignin, lactic acid/total VFA, and ammonia N/total N; the second set excluded soluble N/ total N and lignin because they are not typically measured; the third set further excluded the fermentation data. The R2 values generally decreased with exclusion of predictors. The second and third sets of equations, except for NDF digestibility, were validated using the mean-square-prediction-error model and an independent grass silage data set published since 1977 (n = 17 [DM digestibility] to 28 [DOMD and OM digestibility]). The validation indicated that the equations developed in the present experiment could accurately predict DE and ME concentrations and DE/GE and ME/GE in grass silages.  相似文献   

12.
Seventy-seven diets were fed to 61-kg growing pigs at a feeding level close to their ad libitum intake and to nonlactating, nonpregnant sows slightly above their maintenance energy level (2.4 kg/d). The main objectives of this study were to compare the total tract digestibility of dietary energy or nutrients of the 77 diets in growing pigs and adult sows and to analyze the effect of diet chemical composition on total tract digestibility in both groups of pigs. Diets were formulated to represent a range of chemical compositions as large as those found in most practical situations. The DE and ME values and total tract digestible nutrient contents of diets were measured for each group of animals; each diet was measured in four to five animals per group, and collection of urine and feces lasted 10 d. The results were used to establish equations for predicting DE and ME values, total tract digestible nutrient contents, and total tract digestibility coefficients of energy from chemical characteristics for each group of animals. The results show that the total tract digestibility of energy or nutrients was higher (P < 0.01) in adult sows than in growing pigs; the total tract digestibility coefficients of energy, crude protein, ether extract, and NDF averaged 85.2, 85.1, 37.1, and 64.4%, respectively, for sows and 82.1, 80.3, 31.6, and 56.3%, respectively, for growing pigs. The ME/DE ratio was lower (P < 0.01) in sows (94.8%) than in growing pigs (96.5%), as a result of higher urinary energy losses in sows. The difference in DE values (on average, 0.6 MJ/kg of DM) between adult sows and growing pigs was not constant (P < 0.01) but increased with dietary fiber content (3.3, 8.6, and 10.1 kJ for each gram of NDF, ADF, and crude fiber increase in the diet, respectively), which suggests that the origin of the difference between the two physiological stages is mainly due to a higher rate of degradation of dietary fiber in the hindgut of sows. The DE and ME values could be accurately predicted from total tract digestible nutrients or from chemical characteristics for each physiological stage. Equations for predicting urinary energy loss from urinary N are also proposed. From a practical point of view, it is suggested to use two energy values for pig feeds: one applicable to growing-finishing pigs and one to adult sows. Equations for predicting DE in adult sows from energy values obtained in growing pigs are proposed.  相似文献   

13.
This study evaluated effects of increasing levels of dried rumen contents (DRC) on voluntary intake, growth performance, digestibility, nutritive value, N utilization, microbial protein supply (MPS), and purine derivatives excretion (PDE) of lambs fed with Afzelia africana basal forage. Sixteen lambs (13.7?±?0.1 kg body weight (BW)) were randomly assigned to one of the four eight diets containing 0, 200, 400 and 600 g DRC/kg dry matter (DM) in a completely random design. Intakes of concentrate, DM, crude protein (CP), organic matter (OM), digestible CP (DCP), digestible OM (DOM), digestible energy (DE) and metabolizable energy (ME), CP and OM digestibility, DOM, DCP, DE, ME, N intake and retention, weight gain, cost/kg BW gain, MPS and PDE increased with increasing DRC level up to 400 g/kg DRC and declined at 600 g/kg DRC (P?<?0.05; 0.01). Feed conversion ratio and DM digestibility declined as DRC level increased from 0 to 400 g/kg and peaked at 600 g/kg DRC (P?<?0.05; 0.01). Forage intake and DE/DCP ratio decreased (P?<?0.05; 0.01) progressively with increasing DRC level. Results indicate that DRC can be incorporated up to 400 g/kg in a compounded ration for sheep.  相似文献   

14.
Twenty corn coproducts from various wet- and dry-grind ethanol plants were fed to finishing pigs to determine DE and ME and to generate equations predicting DE and ME based on chemical analysis. A basal diet comprised corn (97.05%), limestone, dicalcium phosphate, salt, vitamins, and trace minerals. Twenty test diets were formulated by mixing the basal diet with 30% of a coproduct, except for dried corn solubles and corn oil, which were included at 20 and 10%, respectively. There were 8 groups of 24 finishing gilts (n = 192; BW = 112.7 ± 7.9 kg). Within each group, gilts were randomly assigned to 1 of 5 test diets or the basal diet for a total of 4 replications per diet per group. Two groups of gilts were used for each set of coproducts, resulting in 8 replications per coproduct and 32 replications of the basal diet. The experiment was conducted as a completely randomized design. Gilts were placed in metabolism crates and offered 3 kg daily of their assigned test diet for 13 d, with total collection of feces and urine during the last 4 d. Ingredients were analyzed for DM, GE, CP, ether extract, crude fiber, NDF, ADF, total dietary fiber (TDF), ash, AA, and minerals, and in vitro OM digestibility was calculated for each ingredient. The GE was determined in the diets, feces, and urine to calculate DE and ME for each ingredient. The DE and ME of the basal diet were used as covariates among groups of pigs. The DE of the coproducts ranged from 2,517 kcal/kg of DM (corn gluten feed) to 8,988 kcal/kg of DM (corn oil), and ME ranged from 2,334 kcal/kg of DM (corn gluten feed) to 8,755 kcal/kg of DM (corn oil). By excluding corn oil and corn starch from the stepwise regression analysis, a series of DE and ME prediction equations were generated. The best fit equations were as follows: DE, kcal/kg of DM = -7,471 + (1.94 × GE) - (50.91 × ether extract) + (15.20 × total starch) + (18.04 × OM digestibility), with R(2) = 0.90, SE = 227, and P < 0.01; ME, kcal/kg of DM = (0.90 × GE) - (29.95 × TDF), with R(2) = 0.72, SE = 323, and P < 0.01. Additional equations for DE and ME included NDF in the instance that TDF data were not available. These results indicate that DE and ME varied substantially among corn coproducts and that various nutritional components can be used to accurately predict DE and ME in corn coproducts for finishing pigs.  相似文献   

15.
试验旨在综合评价从山东省17个市采集的羊常用粗饲料原料的营养价值。试验测定了109个样本10种常用原料的常规营养成分及总能(GE),应用两级离体消化法测定干物质消化率(IVDMD),以计算消化能(DE)和代谢能(ME),并根据预测干物质随意采食量(DMI),进而计算出分级指数(GI)。结果表明,不同粗饲料间的常规养分的差异不能准确地评价饲料营养价值;以NDF、ADF所得GI综合评价粗饲料中营养价值得到苜蓿>冬牧70>地瓜秧>羊草>花生秧>青贮玉米秸>玉米秸>水稻秸>豆秸>麦秸;IVDMD与NDF、ADF均呈显著负相关,而与CP呈显著正相关;DE与NDF、ADF相关性较强,且均呈负相关。  相似文献   

16.
本研究旨在评定白酒糟的营养成分及在生长猪上的消化能(DE)和代谢能(ME),并基于其所含化学组分建立白酒糟在生长猪上DE和ME的预测模型。选取78头健康、体重(52.1±3.6)kg的杜×长×大三元杂交去势公猪,随机分配到1个玉米-豆粕型基础日粮和12个白酒糟(替代基础日粮供能组分的30%)待测日粮处理中进行消化代谢试验,每个处理6个重复,每个重复1头猪,用全收粪尿法和套算法测定其对生长猪的DE和ME值。进一步分析每个样品的化学成分与其有效能值的关系,用逐步回归法建立了12个白酒糟样品DE和ME的预测方程。结果表明:饲喂基础下,12个白酒糟样品的DE为3.79~8.81 MJ/kg,ME为3.54~8.15 MJ/kg;白酒槽DE的最佳预测方程为DE(MJ/kg)=38.46-0.63×粗灰分-0.11×粗纤维-1.14×总能-0.03×中性洗涤纤维(R^2=0.81),ME的最佳预测方程为ME(MJ/kg)=41.86-0.75×粗灰分-1.51×总能+0.20×粗脂肪-0.05×粗纤维(R^2=0.74)。  相似文献   

17.
The objective of this study was to evaluate the effects of different defatted rice bran (DFRB) sources and processing technologies on nutrient digestibility in different intestinal segments of pigs. Nine barrows with T-cannula in the distal ileum were randomly allotted to nine different sources in which oil was pressed extracted for seven sources and was solvent extracted for two sources. The experiment contained 6 periods of 12 d, including 8 d for diet adaptation, 2 d for fecal collection, and 2 d for digesta collection. The apparent ileal digestibility (AID) of dry matter (DM), ash, total dietary fiber (TDF), insoluble dietary fiber (IDF), neutral detergent fiber (NDF), acid detergent fiber (ADF), and hemicellulose in different sources of DFRB was quite variable. There were no differences in the AID of dietary gross energy (GE), organic matter (OM), ether extract (EE), crude protein (CP), and soluble dietary fiber (SDF) between different sources of DFRB. There were no differences in the AID of dietary EE, TDF, IDF, and hemicellulose between different processing technologies. Pressed DFRBs have greater (P < 0.05) average AID of dietary GE, DM, ash, OM, CP, SDF, and NDF and lower (P < 0.01) ADF compared with solvent-extracted DFRBs. The apparent total tract digestibility (ATTD) of most of the dietary nutrients, except for the ATTD of dietary EE, SDF, and hemicellulose, significantly varied in different sources of DFRB (P < 0.05). In addition, pressed DFRB had greater (P < 0.05) ATTD of dietary SDF, NDF, ADF, and hemicellulose compared with solvent-extracted DFRB. The apparent hindgut digestibility (AHD) of dietary DM, SDF, NDF, and ADF significantly varied (P <0.05) in different sources of DFRB. Exception with DM, there are no differences in the AHD of nutrients digestibility between pressed DFRB and solvent-extracted DFRB. In conclusion, DFRB in different sources and processing technologies with different physicochemical properties had different effects on nutrient digestibility in the foregut and hindgut of pigs.  相似文献   

18.
Near-infrared reflectance spectroscopy (NIRS) was used to predict the chemical composition, apparent digestibility and digestible nutrients and energy content of commercial extruded compound foods for dogs. Fifty-six foods of known chemical composition and in vivo apparent digestibility were analysed overall and 51 foods were used to predict gross energy digestibility and digestible energy content. Modified partial least square calibration models were developed for organic matter (OM), crude protein (CP), ether extract (EE), crude fibre (CF), nitrogen free extracts (NFE) and gross energy (GE) content, the apparent digestibility (OMD, CPD, EED, NFED and GED) and the digestible nutrient and energy content (DOM, DCP, DEE, DNFE and DE) of foods. The calibration equations obtained were evaluated by the standard error and the determination coefficient of cross-validation. The cross-validation coefficients of determination (R) were 0.61, 0.99, 0.91, 0.96, 0.94 and 0.92 for OM, CP, EE, CF, NFE and GE, the corresponding standard error of cross-validation (SECV) being 5.80, 3.51, 13.35, 3.64 and 16.95 g/kg dry matter (DM) and 0.29 MJ/kg DM respectively. The prediction of apparent digestibility was slightly less accurate, but NIRS prediction of digestible nutrient (g/kg DM) and DE (MJ/kg DM) gave satisfactory results, with high R (0.93, 0.97, 0.93, 0.83 and 0.93 for DOM, DCP, DEE, DNFE and DE respectively) and relatively low SECV (11.55, 6.85, 12.14 and 22.98 g/kg DM and 0.47 MJ/kg DM). It is concluded that the precision of NIRS in predicting the energy value of compound extruded foods for dogs is similar or better than by proximate analysis, as well as being faster and more accurate.  相似文献   

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