验证反刍动物常用饲料小肠可吸收氨基酸流量简化模型

发布时间：2018-04-14 00:16

本文选题：CNCPS + 氨基酸流量　；参考：《山东农业大学》2017年硕士论文

【摘要】：本研究通过采集18种反刍动物常用饲料原料,根据CNCPS对RUP小肠可吸收氨基酸流量的预测方程,测定预测RUP小肠可吸收氨基酸流量及各时间点降解残渣的小肠消化率,结合CP降解率和小肠消化率,验证CNCPS简化模型:粗料方程Y=0.00197+2.11988X,r=0.99946,P0.0001;精料方程Y=-0.05564+1.40925X,r=0.99955,P0.0001。通过瘤胃尼龙袋法测定饲料不同成分的降解率,分析饲料不同成分的实时降解率和有效降解率的相关性,用单一时间点的降解率来估算有效降解率,简化饲料降解率的测定。结果显示:(1)8种粗饲料各时间点CP瘤胃降解率和有效降解率的线性回归分析分析得出,8h的CP瘤胃降解率与有效降解率的相关性最高,线性回归方程为Y=0.90902X+9.91209,r=0.98702,P0.0001;10种精饲料各时间点CP瘤胃降解率和有效降解率的线性回归分析得出,8h的CP瘤胃降解率与有效降解率的相关性最高,线性回归方程为Y=1.00951X+1.61992,r=0.9654,P0.0001。(2)18种饲料的各时间点瘤胃降解残渣的小肠消化率与RUP有效小肠消化率线性回归分析得出,8种粗饲料的8h小肠消化率与有效消化率的相关性最高,线性回归方程为Y=0.53854+0.97088X,r=0.99579,P00001;10种精饲料8h小肠消化率与有效消化率的相关性最高,线性回归方程为Y=3.23556+0.95384X,r=0.9904,P0.0001。(3)验证3种简化的方案,结果显示,简化模型三的可靠性最高,即粗料和精料均以8h降解率和8h小肠消化率对RUP小肠可吸收氨基酸流量的预测结果与CNCPS的评定结果相关性最高,粗料方程Y=0.00197+2.11988X,r=0.99869,差异性分析P值为0.3467,平均相对偏差为6.8361;精料方程Y=-0.05564+1.40925X,r=0.99541,差异性分析P值为0.065,平均相对偏差为22.788。验证得出该简化模型可行。(4)对饲料CP、DM、OM、ADF和NDF的实时降解率与瘤胃有效降解率的相关性分析,简化得出,粗料和精料均以16h降解率与有效降解率相关性最高,粗料方程为Y=0.68368+0.9843X,r=0.98757,P0.0001;精料方程为Y=-0.86237+0.85602X,r=0.96078,P0.0001。
[Abstract]:In this study, 18 common feed materials of ruminants were collected. According to the prediction equation of RUP small intestinal absorbable amino acid flow rate by CNCPS, the small intestine digestibility of RUP small intestine absorbable amino acid flow and degradation residue at different time points were determined.Combined with CP degradation rate and digestibility of small intestine, the simplified CNCPS model was verified as follows: crude feed equation: YP0. 00197 2.11988Xrnrrrrrrrrrrrrrrrrrrrrrrrrrrrt 0.99955X, and concentrate equation YP0. 0001.The degradation rate of different components of feed was determined by rumen nylon bag method, and the correlation between the real time degradation rate and effective degradation rate of different components of feed was analyzed. The effective degradation rate was estimated by single time point degradation rate, and the determination of feed degradation rate was simplified.The results showed that the rumen degradation rate and the effective degradation rate of CP were the highest at 8h after the linear regression analysis of CP degradation rate and effective degradation rate of 8 kinds of forage forage.The linear regression analysis of 10 kinds of concentrate feed CP degradation rate and effective degradation rate at different time points showed that there was the highest correlation between CP rumen degradation rate and effective degradation rate at 8 h. The linear regression equation was YP0.902X 9.912090.98702P0.00010.The linear regression analysis showed that the rumen degradation rate of CP and the effective degradation rate were the highest at 8 h.The linear regression equation was that the small intestine digestibility of rumen degradation residue and the RUP effective intestinal digestibility were the highest in 8 hours of eight kinds of crude feed at each time point of 18 kinds of feedstuffs, the linear regression equation was YT 1.00951X 1.61992rn 0.9654g P0.0001.20.The linear regression analysis showed that there was the highest correlation between the intestinal digestibility and the effective digestibility of 8 kinds of crude feed.The linear regression equation was: YC0.53854 0.97088Xrttrium 0.99579KP001C 10 kinds of concentrate feed had the highest correlation with the effective digestibility for 8h, and the linear regression equation was YC3.23556 0.95384XRO 0.9904 P0.0001.3to verify the three simplified schemes. The results showed that the three simplified models had the highest reliability.The results of 8h degradation rate and 8h intestinal digestibility for RUP intestinal absorbable amino acid flow were the most correlated with CNCPS evaluation.The difference analysis P value is 0.3467, the average relative deviation is 6.8361, and the concentrate equation Y _ (0.05564) 1.40925X ru _ (0.99541), the difference analysis P value is 0.065, the average relative deviation is 22.7888.The crude material equation is 0.99869, the difference analysis is 0.99869, the average relative deviation is 22.788, the difference analysis is 0.065, the average relative deviation is 22.788, the difference is 0.065, and the average relative deviation is 22.788.The results showed that the simplified model was feasible. The correlation analysis between the real-time degradation rate and the rumen effective degradation rate of NDF and ADF was obtained. The results showed that 16 h degradation rate and effective degradation rate of crude and concentrate were the highest.The crude material equation is YT 0.68368 0.9843XL 0.98757N P0.0001, and the concentrate equation is YP0.86237 0.85602Xrc0.96078KP0.0001.
【学位授予单位】：山东农业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：S816

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