套算法和排空强饲法测定肉鸡玉米有效能值的比较研究
发布时间：2018-11-20 05:04
【摘要】：本试验分别测定10种不同来源玉米肉鸡有效能值,比较不同方法的评定结果,并采用标准化的实验室分析方法分析测定玉米样品总能、粗蛋白、粗脂肪、粗灰分、中性洗涤纤维、酸性洗涤纤维等理化指标,然后利用这些理化指标与有效能值进行通径分析并建立逐步回归方程。试验一套算法和排空强饲法测定肉鸡玉米有效能值本试验旨在比较肉鸡玉米有效能测定方法的差异。试验包括两种测定方法:套算法和排空强饲法。套算法试验选用704只(公母各半)28日龄健康爱拔益加(AA)肉仔鸡,随机分为11组(每组8个重复,每个重复8只鸡):对照组饲喂基础饲粮,试验组饲喂10种不同品种玉米替代试验饲粮(替代比例为40%),试验期7d。强饲法试验选用健康成年肉种公鸡60只,随机分为5组(每组6个重复,每个重复2只鸡):试验鸡分别强饲10种不同品种玉米原料,采用48 h排空-强饲-48 h收集排泄物(GB/T26437--2010)的操作程序。结果表明:1)强饲法测得的有效能值显著低于全收粪法、指示剂法和回肠末端食糜法(P0.05);全收粪法、指示剂法和回肠末端食糜法所测得的有效能值无显著差异(P0.05)。2)指示剂法与全收粪法和回肠末端食糜法在0.01水平(双侧)上显著相关,相关系数分别为0.777和0.952;全收粪法和回肠末端食糜法在0.05水平(双侧)上显著相关,相关系数为0.683。由此得出,强饲法测得的有效能值显著低于套算法,以套算法为基础的全收粪法、指示剂法和回肠末端食糜法所测得的有效能值无显著差异;指示剂法和回肠末端食糜法、指示剂法和全收粪法、全收粪法和回肠末端食糜法所测得的有效能值具有高度的相关性(相关系数分别0.952,0.777和0.683),强饲法与其他3种方法所测得的有效能值没有显著的相关性。试验二玉米有效能值预测模型的建立本试验在试验一的基础上,利用实测的玉米有效能值分别与玉米总能(GE)、粗蛋白(CP)、粗脂肪(EE)、粗灰分(CA)、中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)等理化指标进行通径分析。结果表明:指示剂法:(1)CP对AME的直接作用最大为-1.386,CA对AME的直接作用次之为0.761,NDF对AME的直接作用最小为-0.174;CA对AME的间接作用最大为-1.191,CP对AME的间接作用次之,为0.672,NDF对AME的间接作用最小为-0.193;(2)CP为肉仔鸡玉米类预测方程最佳预测因子。逐步回归方程为:AME=16.959-0.409CP(R2=0.509,P0.05)。全收粪法:(1)EE对AME的直接作用最大为-0.445,CP对AME的直接作用次之为-0.415,ADF对AME的直接作用最小为-0.086;CA对AME间接系数最大为-0.497,NDF对AME的间接作用次之为-0.313,GE对AME的间接作用最小为-0.059;(2)CP为肉仔鸡玉米类预测方程最佳预测因子。逐步回归方程为:AME=14.958-0.409CA(R2=0.408,P0.05)。回肠末端食糜法:(1)CA对IDE间接系数最大为-1.466,CP对IDE的间接作用次之为0.699,NDF对IDE的间接作用最小为0.015;CP对IDE的直接作用最大为-1.487,CA对IDE的直接作用次之为0.975,EE对IDE的直接作用最小为-0.225;(2)CP为肉仔鸡玉米类预测方程最佳预测因子。逐步回归方程为:IDE=17.406-0.458CP(R2=0.621,P0.01)。
[Abstract]:The effective energy values of 10 different sources of corn were measured in this experiment, and the evaluation results of different methods were compared. The standard laboratory analysis method was used to analyze the total protein, crude protein, crude fat, crude ash and neutral washing fiber. The physical and chemical indexes such as acid washing fiber and other physical and chemical indexes are analyzed and a step-by-step regression equation is established by using the physical and chemical indexes and the effective energy value. The experiment is to compare the difference of the effective energy of the corn in the broiler. The test consists of two measuring methods: a set-up algorithm and an empty-feeding method. In this experiment, 704 (male and female) 28-day-old healthy and healthy (AA) broiler chickens were randomly divided into 11 groups (8 replicates in each group, 8 chickens in each group): the control group fed the basal feed, The experimental group was fed with 10 different varieties of corn instead of the experimental feed (40% of the replacement), and the test period was 7days. 60 healthy adult breeds were randomly divided into 5 groups (6 replicates in each group, 2 chickens in each group): the test chickens were fed with 10 different kinds of corn raw materials respectively, and the operation procedures of the waste (GB/ T26437--2010) were collected by 48-hour emptying-strong-feed-48h. The results showed that 1) The effective energy measured by the strong-feeding method was significantly lower than that of the full-feces method, the indicator method and the end-end of the ileum (P0.05), and the full-feces-receiving method. There was no significant difference in the effective energy between the indicator method and the end-end of the ileum (P0.05). 2) The indicator method and the total feces-receiving method and the end-of-the-end food-eating method of the ileum were significantly correlated with the 0. 01 level (double side), and the correlation coefficient was 0.777 and 0.952, respectively. There was a significant correlation between the total feces and the end of the ileum at the level of 0. 05 (double side), and the correlation coefficient was 0.683. As a result, the effective energy value measured by the strong-feeding method is significantly lower than that of the set algorithm, and the effective energy values measured by the whole-receiving method, the indicator method and the terminal-end food-eating method based on the set algorithm are not significantly different; and the indicator method and the ileal-terminal food-eating method, the indicator method and the full-feces-receiving method, The correlation coefficient of the effective energy (correlation coefficient of 0.952, 0.777 and 0.683) was found to be highly correlated (the correlation coefficient was 0.952, 0.777 and 0.683, respectively), and the strong feeding method had no significant correlation with the effective energy value measured by the other three methods. On the basis of the experiment, the effective energy of the corn can be compared with that of the corn always (GE), the crude protein (CP), the crude fat (EE), the crude ash (CA) and the neutral washing fiber (NDF). The physical and chemical indexes such as the acid washing fiber (ADF) were analyzed. The results showed that: (1) The direct effect of (1) CP on AME was-1.386, the direct effect of CA on AME was 0.761, and the direct effect of NDF on AME was-0.174; the indirect effect of CA on AME was-1.191, and the indirect effect of CP on AME was the second. The indirect effect of NDF on AME is-0.193; (2) CP is the best predictor of corn-based prediction equation for broiler. The regression equation was as follows: AME = 16.959-0.409CP (R2 = 0.509, P0.05). The direct effect of (1) EE on AME was-0.445, the direct effect of CP on AME was-0.415, the direct effect of the ADF on AME was-0.086, the indirect effect of CA on AME was-0.497, the indirect effect of NDF on AME was-0.313, and the indirect effect of GE on AME was-0.059; (2) CP is the best predictor of the corn-based prediction equation of the broiler. The regression equation was as follows: AME = 14.958-0.409CA (R2 = 0.408, P0.05). (1) The indirect effect of CA on the IDE is-1.466, the indirect effect of CP on the IDE is 0.699, the direct effect of the CP on the IDE is-1.487, the direct effect of the CA on the IDE is-1.487, the direct effect of the CA on the IDE is 0. 975, and the direct action of EE to the IDE is-0.225; (2) CP is the best predictor of the corn-based prediction equation of the broiler. The regression equation was: IDE = 17.406-0.458CP (R2 = 0.621, P0.01).
【学位授予单位】：甘肃农业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S831.5
本文编号：2343842
[Abstract]:The effective energy values of 10 different sources of corn were measured in this experiment, and the evaluation results of different methods were compared. The standard laboratory analysis method was used to analyze the total protein, crude protein, crude fat, crude ash and neutral washing fiber. The physical and chemical indexes such as acid washing fiber and other physical and chemical indexes are analyzed and a step-by-step regression equation is established by using the physical and chemical indexes and the effective energy value. The experiment is to compare the difference of the effective energy of the corn in the broiler. The test consists of two measuring methods: a set-up algorithm and an empty-feeding method. In this experiment, 704 (male and female) 28-day-old healthy and healthy (AA) broiler chickens were randomly divided into 11 groups (8 replicates in each group, 8 chickens in each group): the control group fed the basal feed, The experimental group was fed with 10 different varieties of corn instead of the experimental feed (40% of the replacement), and the test period was 7days. 60 healthy adult breeds were randomly divided into 5 groups (6 replicates in each group, 2 chickens in each group): the test chickens were fed with 10 different kinds of corn raw materials respectively, and the operation procedures of the waste (GB/ T26437--2010) were collected by 48-hour emptying-strong-feed-48h. The results showed that 1) The effective energy measured by the strong-feeding method was significantly lower than that of the full-feces method, the indicator method and the end-end of the ileum (P0.05), and the full-feces-receiving method. There was no significant difference in the effective energy between the indicator method and the end-end of the ileum (P0.05). 2) The indicator method and the total feces-receiving method and the end-of-the-end food-eating method of the ileum were significantly correlated with the 0. 01 level (double side), and the correlation coefficient was 0.777 and 0.952, respectively. There was a significant correlation between the total feces and the end of the ileum at the level of 0. 05 (double side), and the correlation coefficient was 0.683. As a result, the effective energy value measured by the strong-feeding method is significantly lower than that of the set algorithm, and the effective energy values measured by the whole-receiving method, the indicator method and the terminal-end food-eating method based on the set algorithm are not significantly different; and the indicator method and the ileal-terminal food-eating method, the indicator method and the full-feces-receiving method, The correlation coefficient of the effective energy (correlation coefficient of 0.952, 0.777 and 0.683) was found to be highly correlated (the correlation coefficient was 0.952, 0.777 and 0.683, respectively), and the strong feeding method had no significant correlation with the effective energy value measured by the other three methods. On the basis of the experiment, the effective energy of the corn can be compared with that of the corn always (GE), the crude protein (CP), the crude fat (EE), the crude ash (CA) and the neutral washing fiber (NDF). The physical and chemical indexes such as the acid washing fiber (ADF) were analyzed. The results showed that: (1) The direct effect of (1) CP on AME was-1.386, the direct effect of CA on AME was 0.761, and the direct effect of NDF on AME was-0.174; the indirect effect of CA on AME was-1.191, and the indirect effect of CP on AME was the second. The indirect effect of NDF on AME is-0.193; (2) CP is the best predictor of corn-based prediction equation for broiler. The regression equation was as follows: AME = 16.959-0.409CP (R2 = 0.509, P0.05). The direct effect of (1) EE on AME was-0.445, the direct effect of CP on AME was-0.415, the direct effect of the ADF on AME was-0.086, the indirect effect of CA on AME was-0.497, the indirect effect of NDF on AME was-0.313, and the indirect effect of GE on AME was-0.059; (2) CP is the best predictor of the corn-based prediction equation of the broiler. The regression equation was as follows: AME = 14.958-0.409CA (R2 = 0.408, P0.05). (1) The indirect effect of CA on the IDE is-1.466, the indirect effect of CP on the IDE is 0.699, the direct effect of the CP on the IDE is-1.487, the direct effect of the CA on the IDE is-1.487, the direct effect of the CA on the IDE is 0. 975, and the direct action of EE to the IDE is-0.225; (2) CP is the best predictor of the corn-based prediction equation of the broiler. The regression equation was: IDE = 17.406-0.458CP (R2 = 0.621, P0.01).
【学位授予单位】：甘肃农业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S831.5
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