套算法和排空強(qiáng)飼法測(cè)定肉雞玉米有效能值的比較研究
發(fā)布時(shí)間:2018-11-20 05:04
【摘要】:本試驗(yàn)分別測(cè)定10種不同來源玉米肉雞有效能值,比較不同方法的評(píng)定結(jié)果,并采用標(biāo)準(zhǔn)化的實(shí)驗(yàn)室分析方法分析測(cè)定玉米樣品總能、粗蛋白、粗脂肪、粗灰分、中性洗滌纖維、酸性洗滌纖維等理化指標(biāo),然后利用這些理化指標(biāo)與有效能值進(jìn)行通徑分析并建立逐步回歸方程。試驗(yàn)一套算法和排空強(qiáng)飼法測(cè)定肉雞玉米有效能值本試驗(yàn)旨在比較肉雞玉米有效能測(cè)定方法的差異。試驗(yàn)包括兩種測(cè)定方法:套算法和排空強(qiáng)飼法。套算法試驗(yàn)選用704只(公母各半)28日齡健康愛拔益加(AA)肉仔雞,隨機(jī)分為11組(每組8個(gè)重復(fù),每個(gè)重復(fù)8只雞):對(duì)照組飼喂基礎(chǔ)飼糧,試驗(yàn)組飼喂10種不同品種玉米替代試驗(yàn)飼糧(替代比例為40%),試驗(yàn)期7d。強(qiáng)飼法試驗(yàn)選用健康成年肉種公雞60只,隨機(jī)分為5組(每組6個(gè)重復(fù),每個(gè)重復(fù)2只雞):試驗(yàn)雞分別強(qiáng)飼10種不同品種玉米原料,采用48 h排空-強(qiáng)飼-48 h收集排泄物(GB/T26437--2010)的操作程序。結(jié)果表明:1)強(qiáng)飼法測(cè)得的有效能值顯著低于全收糞法、指示劑法和回腸末端食糜法(P0.05);全收糞法、指示劑法和回腸末端食糜法所測(cè)得的有效能值無顯著差異(P0.05)。2)指示劑法與全收糞法和回腸末端食糜法在0.01水平(雙側(cè))上顯著相關(guān),相關(guān)系數(shù)分別為0.777和0.952;全收糞法和回腸末端食糜法在0.05水平(雙側(cè))上顯著相關(guān),相關(guān)系數(shù)為0.683。由此得出,強(qiáng)飼法測(cè)得的有效能值顯著低于套算法,以套算法為基礎(chǔ)的全收糞法、指示劑法和回腸末端食糜法所測(cè)得的有效能值無顯著差異;指示劑法和回腸末端食糜法、指示劑法和全收糞法、全收糞法和回腸末端食糜法所測(cè)得的有效能值具有高度的相關(guān)性(相關(guān)系數(shù)分別0.952,0.777和0.683),強(qiáng)飼法與其他3種方法所測(cè)得的有效能值沒有顯著的相關(guān)性。試驗(yàn)二玉米有效能值預(yù)測(cè)模型的建立本試驗(yàn)在試驗(yàn)一的基礎(chǔ)上,利用實(shí)測(cè)的玉米有效能值分別與玉米總能(GE)、粗蛋白(CP)、粗脂肪(EE)、粗灰分(CA)、中性洗滌纖維(NDF)、酸性洗滌纖維(ADF)等理化指標(biāo)進(jìn)行通徑分析。結(jié)果表明:指示劑法:(1)CP對(duì)AME的直接作用最大為-1.386,CA對(duì)AME的直接作用次之為0.761,NDF對(duì)AME的直接作用最小為-0.174;CA對(duì)AME的間接作用最大為-1.191,CP對(duì)AME的間接作用次之,為0.672,NDF對(duì)AME的間接作用最小為-0.193;(2)CP為肉仔雞玉米類預(yù)測(cè)方程最佳預(yù)測(cè)因子。逐步回歸方程為:AME=16.959-0.409CP(R2=0.509,P0.05)。全收糞法:(1)EE對(duì)AME的直接作用最大為-0.445,CP對(duì)AME的直接作用次之為-0.415,ADF對(duì)AME的直接作用最小為-0.086;CA對(duì)AME間接系數(shù)最大為-0.497,NDF對(duì)AME的間接作用次之為-0.313,GE對(duì)AME的間接作用最小為-0.059;(2)CP為肉仔雞玉米類預(yù)測(cè)方程最佳預(yù)測(cè)因子。逐步回歸方程為:AME=14.958-0.409CA(R2=0.408,P0.05)。回腸末端食糜法:(1)CA對(duì)IDE間接系數(shù)最大為-1.466,CP對(duì)IDE的間接作用次之為0.699,NDF對(duì)IDE的間接作用最小為0.015;CP對(duì)IDE的直接作用最大為-1.487,CA對(duì)IDE的直接作用次之為0.975,EE對(duì)IDE的直接作用最小為-0.225;(2)CP為肉仔雞玉米類預(yù)測(cè)方程最佳預(yù)測(cè)因子。逐步回歸方程為: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).
【學(xué)位授予單位】:甘肅農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:S831.5
本文編號(hào):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).
【學(xué)位授予單位】:甘肅農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:S831.5
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