阅读说明：本技术 一种利用酶水解能法评价鹅饲粮代谢能的方法 (Method for evaluating goose feed metabolism energy by using enzymatic hydrolysis energy method ) 是由 王文策 杨琳 杨静 朱勇文 叶慧 黎宇 汪珩 夏戴阳 陈建颖 马渭青 付阳 朱 于 2020-07-20 设计创作，主要内容包括：本发明提供了一种利用酶水解能法快速评价鹅饲粮代谢能的方法,属于动物饲料技术领域。本发明采用生物学法与酶水解能法相结合的技术手段快速评定鹅饲料代谢能,在“胃-小肠”两部酶法的基础上,首次通过建立盲肠内代谢能的变化与纤维水平间的回归方程对酶水解能法能值进行盲肠微生物消化阶段的校正,使酶水解能法评定鹅代谢能更具合理性,结果表明酶水解能法评定鹅饲料代谢能值具有较高可行性。在此基础上,对酶水解能法评定饲料代谢能进行可加性分析,结果表明酶水解能法可加性优于排空强饲法,且酶水解能值校正值也适用于配合饲料能值的评估。(The invention provides a method for rapidly evaluating goose feed metabolism energy by using an enzymatic hydrolysis energy method, belonging to the technical field of animal feeds. The goose feed metabolic energy is rapidly evaluated by adopting a technical means of combining a biological method and an enzymatic hydrolysis energy method, on the basis of a gastric-small intestine enzyme method, the caecum microbial digestion stage is corrected on the enzymatic hydrolysis energy value by establishing a regression equation between the change of the metabolic energy in the caecum and the fiber level for the first time, so that the enzymatic hydrolysis energy method has more rationality in evaluating the goose metabolic energy, and the result shows that the enzymatic hydrolysis energy method has higher feasibility in evaluating the goose feed metabolic energy value. On the basis, the additive analysis is carried out on the feed metabolism energy evaluated by the enzyme hydrolysis energy method, the result shows that the additive of the enzyme hydrolysis energy method is better than that of the emptying strong feeding method, and the corrected value of the enzyme hydrolysis energy value is also suitable for the evaluation of the energy value of the compound feed.)

1. A method for rapidly evaluating goose feed metabolism energy by using an enzyme hydrolysis energy method is characterized by comprising the following steps:

1) determining and calculating the enzyme hydrolysis energy values of the feeds with a plurality of fiber levels by adopting an enzyme hydrolysis energy method;

the parameters of the diet for several fiber levels determined by the enzymatic hydrolysis energy method were as follows:

the digestive enzyme in simulated gastric fluid is pepsin, and the concentration of the pepsin is 1475U/ml;

digestive enzymes in simulated intestinal fluid are trypsin, chymotrypsin and amylase; every 2000ml of simulated intestinal fluid contains 0.1900g of trypsin, 0.0526g of chymotrypsin and 4.45ml of amylase solution;

the digestion temperature in the stomach stage and the intestinal stage is 40.5-41.5 ℃;

the digestion time in the stomach stage is 4-5 h; the digestion time of the intestinal stage is 12-16 h;

the enzyme hydrolysis energy value is calculated according to the following formula D;

wherein the unit of the enzyme hydrolysis energy value is MJ/kg;

2) bringing the level of the crude fiber in the feed to be detected into a formula E of the corrected value of the enzyme hydrolysis energy value to obtain the corrected value of the enzyme hydrolysis energy value of the crude fiber in the feed;

corrected value of enzyme hydrolysis energy value-0.020 CF²+0.333 CF-0.476+ SDGE formula E.

Wherein, CF is crude fiber, the unit of the corrected value of the enzyme hydrolysis energy value is MJ/kg, and SDGE represents the enzyme hydrolysis energy value.

2. The method of claim 1 wherein the value corrected for the energy of enzymatic hydrolysis is the sum of a model of a curve correcting the energy of enzymatic hydrolysis and the energy of enzymatic hydrolysis of the crude fiber in the diet;

the curve model for correcting the energy value of the enzyme hydrolysis energy is characterized in that a quadratic curve regression equation of crude fiber and apparent metabolic energy in the blind intestines is constructed by taking the crude fiber as an independent variable, and the quadratic curve regression equation is shown as a formula C;

AMEI-AMEC＝-0.020*CF²+0.333 CF-0.476 formula C;

wherein AMEI represents the apparent metabolic energy of the undecaecum goose, AMEC represents the apparent metabolic energy of the undecaecum goose, and CF represents crude fiber.

3. The method according to claim 2, wherein the mass of the coarse fiber accounts for 4-11% of the total mass of the diet;

the total energy of the coarse fiber-containing feed is 18-22 MJ/kg.

4. The method of claim 1 wherein the step 1) comprises determining the diet at a plurality of fiber levels using goose enzymatic hydrolysis energy, including gastric phase simulated digestion and intestinal phase simulated digestion;

when simulated digestion is carried out in the stomach stage, the flow rate of the buffer solution in the stomach stage is 120 ml/min; the gastric buffer solution comprises 2.17g of sodium chloride and 1.57g of potassium chloride in every 2000ml of solution; the pH value is 2.0 at the temperature of 40.5-41.5 ℃;

simulating digestion in an intestinal period, wherein the flow rate of an intestinal buffer solution is 120 ml/min; the intestinal buffer solution comprises 2.79g of sodium chloride, 5.33g of potassium chloride, 41.688g of anhydrous sodium dihydrogen phosphate, 7.47g of anhydrous disodium hydrogen phosphate and 160 ten thousand units of penicillin per 2000ml of solution; the pH value is 6.38 under the condition of 40.5-41.5 ℃.

5. The method as claimed in claim 1, characterized in that, in the step 1), the enzyme hydrolysis energy value and the apparent metabolism energy value measured by the emptying strong feeding method are subjected to correlation analysis to obtain a correlation between the apparent metabolism energy value and the enzyme hydrolysis energy value, the testing precision of the goose enzyme hydrolysis energy method is higher than that of the emptying strong feeding method, and a calculation formula of the enzyme hydrolysis energy value correction value is constructed by using the enzyme hydrolysis energy value.

6. The method of claim 5, wherein the correlation coefficient between the values of the apparent metabolic energy and the values of the enzymatic hydrolysis energy is 0.9 or more.

7. The method of claim 5, wherein the coefficient of variation of the value of the apparent metabolic energy is 3.84 to 8.75%, and the coefficient of variation of the value of the enzymatic hydrolysis energy is 0.47 to 1.14%.

8. The method according to any one of claims 1 to 7, wherein the goose is of a medium-size type.

9. The method according to any one of claims 1 to 7, wherein the raw material of the crude fiber comprises corn, wheat, rice, wheat bran and rice hull.

Technical Field

The invention belongs to the technical field of animal feeds, and particularly relates to a method for evaluating goose feed metabolism energy by using an enzymatic hydrolysis energy method.

Background

The nutritional value of nutrients is a key index for measuring the quality of feed raw materials, and the energy and protein serving as key research objects of animal nutrition cannot be replaced in the nutritional value evaluation. Due to the difference of physiological structures and nutritional requirements of animals in different growth periods of different varieties or the same variety, the corresponding nutritional value evaluation methods are different, so that the nutritional values of the same sample in different animal bodies are different. For livestock, the energy system used to evaluate the diet is three types of metabolic, digestive and net energy, because nutritional requirements and digestive capacities are different at different times, e.g., sows achieve higher fiber and fat digestibility than growing pigs. Therefore, factors such as heat production maintenance, heat production during activity, body temperature maintenance and the like of the animals need to be considered in the nutritional value assessment. Compared with the pig, the poultry has a single nutrition value evaluation system and mainly takes a metabolic energy system as a main part. There have been attempts to use artificial ostomy to allow poultry to separately collect feces and urine like livestock, but the side effects of the surgery have resulted in the failure of the animal to return to the normal physiological state before surgery. The accurate evaluation of the nutritional value of the feed can not only improve the production performance and reproductive capacity of animals, but also greatly reduce the waste of feed resources, reduce the pollution of the breeding to the environment from the source, and bring considerable benefits to breeding enterprises and farmers.

China is a big poultry breeding country, live poultry are listed in the top of the world in the year, but the consumption of people is far lower than that of developed countries, which shows that the poultry breeding and poultry meat consumption still have huge development space and potential in China. So far, the feed nutritive value database in China is mainly created before 90 years, parameters such as feedstuffs, French feed database, Germany are referred to for revision, the development of the animal nutrition field in China cannot be met to a certain extent, and the data about geese is more scarce. The goose is a omnivorous animal which can resist rough feeding, has strong disease resistance and wide food intake range, and the breeding mode is a stocking mode for a long time in the past, which is also the reason that the research on the nutrition requirement of the goose lags behind the research on pigs and chickens. With the development of society and the rise of living standard of people, people tend to select nutritional and healthy food on the basis of solving the problem of satiety, and goose is popular as an ideal high-protein low-cholesterol low-fat food. Under the huge market demand, the supply is difficult to satisfy under the condition of the traditional culture mode, which also means that the culture mode of the traditional culture mode needs to be changed into an intensive culture mode. But the successful transformation of the breeding mode is undoubtedly hindered by the loss of goose breeding standards and the nutritional value of the feed. Therefore, a rapid and simple determination method is established on the premise of accurate data, so that the method not only can make up the vacancy of the nutritive value of the goose feed, but also has guiding significance for actual production.

The enzyme hydrolysis energy method is based on the characteristics of digestive enzymes in vivo, and simulates the digestion of enzymes in the digestive tract to the diet to the maximum extent on the basis of an in vitro enzyme method. Therefore, the key technology of the enzymatic hydrolysis energy method is to keep the enzymatic properties of the in vitro digestive juice consistent with the endogenous digestive juice. However, due to the difference of physiological structures of mammals and poultry animals, the difference of the enzyme hydrolysis energy method for evaluating the animal feed metabolism is caused, and meanwhile, the difference of digestive enzymes in a digestive system among different poultry causes the feed metabolism process of geese to have substantial influence on poultry animals such as chickens and ducks.

Disclosure of Invention

In view of the above, the invention aims to provide a method for evaluating goose feed metabolism energy by using an enzymatic hydrolysis energy method, which provides scientific guidance for formulating a goose feed formula by measuring the metabolism energy of feed raw materials by using an in-vitro digestion method for quickly and accurately evaluating the goose metabolism energy.

The invention provides a method for rapidly evaluating goose feed metabolism energy by using an enzymatic hydrolysis energy method, which comprises the following steps of:

1) determining and calculating the enzyme hydrolysis energy value of the feed by adopting an enzyme hydrolysis energy method;

the parameters of the digestive juice prepared at the early stage of the diet are measured by adopting an enzyme hydrolysis energy method as follows:

the digestive enzyme in simulated gastric fluid is pepsin, and the concentration of the pepsin is 1475U/ml;

digestive enzymes in simulated intestinal fluid are trypsin, chymotrypsin and amylase; every 2000ml of simulated intestinal fluid contains 0.1900g of trypsin, 0.0526g of chymotrypsin and 4.45ml of amylase solution;

the digestion temperature in the stomach stage and the intestinal stage is 40.5-41.5 ℃;

the digestion time in the stomach stage is 4-5 h; the digestion time of the intestinal stage is 12-16 h;

the enzyme hydrolysis energy value is calculated according to the following formula D;

wherein the unit of the enzyme hydrolysis energy value is MJ/kg;

2) bringing the level of the crude fiber in the feed to be detected into a formula E of the corrected value of the enzyme hydrolysis energy value to obtain the corrected value of the enzyme hydrolysis energy value of the crude fiber in the feed;

correction value of bionic digestion energy value of-0.020 CF²+0.333 CF-0.476+ SDGE formula E.

Wherein, CF is crude fiber, the unit of the corrected value of the enzyme hydrolysis energy value is MJ/kg, and SDGE represents the enzyme hydrolysis energy value.

Preferably, the corrected value of the enzyme hydrolysis energy value is the sum of a curve model for correcting the enzyme hydrolysis energy value and the enzyme hydrolysis energy value of the crude fiber in the diet;

the curve model for correcting the energy value of the enzyme hydrolysis energy is characterized in that a quadratic curve regression equation of crude fiber and apparent metabolic energy in the blind intestines is constructed by taking the crude fiber as an independent variable, and the quadratic curve regression equation is shown as a formula C;

AMEI-AMEC＝-0.020*CF²+0.333 CF-0.476 formula C;

wherein AMEI represents the apparent metabolic energy of the undecaecum goose, AMEC represents the apparent metabolic energy of the undecaecum goose, and CF represents crude fiber.

Preferably, the mass of the coarse fiber accounts for 4-11% of the total mass of the feed;

the total energy of the coarse fiber-containing feed is 18-22 MJ/kg.

Preferably, when the feed with a plurality of fiber levels is measured by adopting a goose enzyme hydrolysis energy method in the step 1), the stomach stage simulated digestion and the intestinal stage simulated digestion are included;

when simulated digestion is carried out in the stomach stage, the flow rate of the buffer solution in the stomach stage is 120 ml/min; the gastric buffer solution comprises 2.17g of sodium chloride and 1.57g of potassium chloride in every 2000ml of solution; the pH value is 2.0 at the temperature of 40.5-41.5 ℃;

simulating digestion in an intestinal period, wherein the flow rate of an intestinal buffer solution is 120 ml/min; the intestinal buffer solution comprises 2.79g of sodium chloride, 5.33g of potassium chloride, 41.688g of anhydrous sodium dihydrogen phosphate, 7.47g of anhydrous disodium hydrogen phosphate and 160 ten thousand units of penicillin per 2000ml of solution; the pH value is 6.38 under the condition of 40.5-41.5 ℃.

Preferably, in the step 1), the enzyme hydrolysis energy value and the apparent metabolism energy value measured by adopting an emptying strong feeding method are subjected to correlation analysis, so that the correlation between the apparent metabolism energy value and the enzyme hydrolysis energy value is obtained, the testing precision of the goose enzyme hydrolysis energy method is higher than that of the emptying strong feeding method, and a calculation formula of the enzyme hydrolysis energy value correction value is constructed by adopting the enzyme hydrolysis energy value.

Preferably, the correlation coefficient of the apparent metabolic energy value and the enzyme hydrolysis energy value is more than 0.9.

Preferably, the coefficient of variation of the apparent metabolic energy value is 3.84-8.75%, and the coefficient of variation of the enzymatic hydrolysis energy value is 0.47-1.14%.

Preferably, the method is suitable for medium-sized geese.

Preferably, the raw materials of the crude fiber comprise corn, wheat, rice, wheat bran and rice hull.

The invention provides a method for evaluating goose feed metabolism energy by utilizing an enzymatic hydrolysis energy method, which comprises the steps of firstly, taking complete feed as a research object, adopting an emptying strong feed method to evaluate the true metabolic energy and the apparent metabolic energy of a cecum-removed goose and a cecum-not-removed goose, evaluating the contribution of cecum to the metabolic energy, and indicating that nutrients in the feed can be utilized by cecum as a result. Then, taking the crude fiber as an independent variable, constructing a regression equation of the crude fiber and the apparent metabolic energy in the cecum, and comparing a secondary curve in regression curves of CF, the cecum-undecided goose apparent metabolic energy, the cecum-removed goose apparent metabolic energy and the cecum internal apparent metabolic energy with the R of a linear equation²The value is high, and the P value is less than 0.05, which indicates that the quadratic curve has statistical significance; meanwhile, in order to verify that the enzyme hydrolysis energy method and the emptying strong feeding method respectively measure the metabolic energy of the diet with different crude fiber levels, and then analyze the correlation between the enzyme hydrolysis energy value and the apparent metabolic energy value, the result shows that the apparent metabolic energy value and the enzyme hydrolysis energy value have stronger correlation, and the test precision of the enzyme hydrolysis energy method is higher than that of the emptying strong feeding method, therefore, the quantitative level of the apparent metabolic energy of the biological method can be estimated by measuring the enzyme hydrolysis energy value of the goose by adopting the reproduction method of the invention. Considering that the digestion of crude fiber in the diet by the cecum also generates part of the apparent metabolic energy, the curve model (the apparent metabolic energy in the cecum) for correcting the energy value of the enzyme hydrolysis energy obtained above and the corrected value of the enzyme hydrolysis energy value formed by the enzyme hydrolysis energy value are used for evaluating the biological metabolic energy of the diet. Adopt the bookThe method provided by the invention can effectively and accurately evaluate the metabolic energy of the feed in the goose body, so that the metabolic conditions of different feeds in the goose body can be known, and scientific guidance is provided for subsequently specifying the formula of the compound goose feed.

In order to verify the feasibility of the method for evaluating the metabolic energy of the goose feed, in the feed additive determination, the difference value between the measured value and the calculated value of the apparent metabolic energy of 13 matched feeds by the enzyme hydrolysis energy method is in the range of 0.37-1.63 MJ/kg, and the percentage of the measured value to the calculated value is 102.87% -113.44%. The difference between the measured value and the calculated value of the SDGE is small, the difference is in the range of-0.05-0.52 MJ/kg, the percentage of the measured value to the calculated value is 99.12-104.18%, and the additivity of the enzyme hydrolysis energy method is superior to that of the emptying strong feeding method. It can be seen that the methods provided by the present invention can also be used for evaluation of a fitted diet.

Drawings

FIG. 1 is an experimental flow chart of the protocol of the present invention;

FIG. 2 is a quadratic curve of the change in energy content in the cecum and the CF level;

FIG. 3 shows AME, TME, SDGE1 and SDGE2 values of 9 rice samples;

FIG. 4 shows AME, TME, SDGE1 and SDGE2 values for 5 wheat samples;

FIG. 5 shows 5 corn samples AME, TME, SDGE1 and SDGE 2;

FIG. 6 is a comparison of measured AME, TME, SDGE1 and SDGE2 for 4 energy compound feeds;

FIG. 7 is a comparison of the measured AME, TME, SDGE1 and SDGE2 for 9 complete formula feeds.

Detailed Description

The invention provides a method for evaluating goose feed metabolism energy by using an enzyme hydrolysis energy method, which comprises the following steps of:

1) determining and calculating the enzyme hydrolysis energy values of the feeds with a plurality of fiber levels by adopting an enzyme hydrolysis energy method;

the enzyme hydrolysis energy value is calculated according to the following formula D;

wherein the unit of the enzyme hydrolysis energy value is MJ/kg;

the parameters of the diet for several fiber levels determined by the enzymatic hydrolysis energy method were as follows:

the digestive enzyme in simulated gastric fluid is pepsin, and the concentration of the pepsin is 1475U/ml;

digestive enzymes in simulated intestinal fluid are trypsin, chymotrypsin and amylase; every 2000ml of simulated intestinal fluid contains 0.1900g of trypsin, 0.0526g of chymotrypsin and 4.45ml of amylase solution;

the digestion temperature in the stomach stage and the intestinal stage is 40.5-41.5 ℃;

the digestion time in the stomach stage is 4-5 h; the digestion time of the intestinal stage is 12-16 h;

2) bringing the level of the crude fiber in the feed to be detected into a formula E of the corrected value of the enzyme hydrolysis energy value to obtain the corrected value of the enzyme hydrolysis energy value of the crude fiber in the feed;

correction value of bionic digestion energy value of-0.020 CF²+0.333 CF-0.476+ SDGE formula E.

In order to explore the influence of different fiber levels of the feed and cecal resection on the metabolic energy, the invention preferably adopts an emptying strong feeding method to feed the feed with a plurality of crude fiber levels, measures and calculates the true metabolic energy and the apparent metabolic energy of the cecal goose without cecal removal and the cecal goose without cecal removal, and performs regression analysis on the crude fiber level and two metabolic energy values consumed in the cecal, so as to obtain the apparent metabolic energy which is in negative correlation with the fiber level of the feed.

In the present invention, the empty gavage is preferably carried out for a three day pre-feeding period, with fasting for 24h prior to gavage and free drinking during the entire test period; feeding 60g of air-dried test material accurately, and collecting a feces sample within 48 hours; on day 11 after the end of the experiment, endogenous feces were collected by starvation.

In the invention, the mass percentage of the crude fibers in the feed with a plurality of crude fiber levels is preferably 4-11%; the total energy in the feed with the level of a plurality of coarse fibers is preferably 18-22 MJ/kg. In order to comprehensively simulate the content of crude fiber in the feed, the complete feed is adopted for evaluation when feeding the geese without cecum and the geese without cecum.

In the present invention, the apparent metabolic energy is preferably calculated according to the following formula a; the true metabolic energy is obtained by calculating according to the following formula B;

wherein the unit of the apparent metabolic energy is MJ/kg;

wherein the unit of true metabolizable energy is MJ/kg.

The method for detecting the total energy, the gavage fecal energy and the endogenous fecal energy of the feed is not particularly limited, and detection methods well known in the art can be adopted.

In the invention, the correlation analysis shows that the correlation coefficient of the apparent metabolic energy of the crude fiber and the cececum-removed goose is-0.81; the correlation coefficient of the apparent metabolic energy of the crude fiber and the cececum-removed goose is-0.77; indicating that the apparent metabolic energy and the fiber level of the diet have stronger negative correlation.

Meanwhile, the result shows that the cecum-removed goose has higher apparent metabolic energy and true metabolic energy than the cecum-removed goose, so that the determined apparent metabolic energy value is closer to the actual production level by selecting the cecum-removed goose as a tested animal.

According to the method, crude fibers are preferably used as independent variables, a quadratic curve regression equation of the crude fibers and the apparent metabolic energy in the blind intestines is constructed, and a curve model for correcting the energy value of the enzyme hydrolysis energy method shown in a formula C is obtained;

AMEI-AMEC＝-0.020*CF²+0.333 CF-0.476 formula C;

wherein AMEI represents the apparent metabolic energy of the undecaecum goose, AMEC represents the apparent metabolic energy of the undecaecum goose, and CF represents crude fiber.

In the invention, the curve model for correcting the energy value of the enzyme hydrolysis energy method is the apparent metabolic energy of the goose without cecum removal and the goose with cecum removalThe difference, i.e., the apparent metabolic energy value in the cecum. The apparent metabolic energy tends to increase first and then decrease with increasing fiber levels, and the simple correlation of other fiber (ADF, NDF, ADL) levels with the apparent metabolic energy is higher than CF. Establishing a linear regression equation and a quadratic curve regression equation with apparent metabolic energy by taking fibers as independent variables, and obtaining a more linear R of a quadratic curve in regression curves of CF, metabolic energy of non-cecum-removed geese, metabolic energy of cecum-removed geese and difference of the CF and the cecum-removed geese²Highest value and R of quadratic curve between CF and AMEI-AMEC values²Higher than ADF, NDF, ADL, and a P value less than 0.05, indicating that the quadratic curve is statistically significant. Therefore, the quadratic curve model is subsequently used to correct the enzyme hydrolysis energy value.

In order to discuss the feasibility of predicting the metabolic energy of the feed by an enzymatic hydrolysis energy method, the method comprises the steps of measuring and calculating the apparent metabolic energy value of geese which obtain the feeds at a plurality of fiber levels by an emptying strong feeding method, measuring and calculating the enzymatic hydrolysis energy value of the feeds at a plurality of fiber levels by an enzymatic hydrolysis energy method, and analyzing the correlation to obtain the apparent metabolic energy value which has the correlation with the enzymatic hydrolysis energy value, wherein the testing precision of the enzymatic hydrolysis energy method is higher than that of the emptying strong feeding method; the enzyme hydrolysis energy value is calculated according to the following formula D;

wherein, the enzyme hydrolysis energy value is abbreviated as SDGE, and the unit is MJ/kg;

the parameters of the diet for several fiber levels determined by the enzymatic hydrolysis energy method were as follows:

the digestive enzyme in simulated gastric fluid is pepsin, and the concentration of the pepsin is 1475U/ml;

digestive enzymes in simulated intestinal fluid are trypsin, chymotrypsin and amylase; every 2000ml of simulated intestinal fluid contains 0.1900g of trypsin, 0.0526g of chymotrypsin and 4.45ml of amylase solution;

the digestion temperature in the stomach stage and the intestinal stage is 40.5-41.5 ℃, and more preferably 40.5 ℃;

the digestion time in the stomach stage is 4-5 h, preferably 4 h; the digestion time of the intestinal stage is 12-16 h, and the preferable time is 14 h.

In the present invention, when the diet with several fiber levels is measured by the enzymatic hydrolysis energy method, the simulated digestion of the stomach stage and the simulated digestion of the intestinal stage are preferably included; when simulated digestion is carried out in the stomach stage, the flow rate of the buffer solution in the stomach stage is 120 ml/min; the gastric buffer solution comprises 2.17g of sodium chloride and 1.57g of potassium chloride in every 2000ml of solution; the pH value is 2.0 at the temperature of 40.5-41.5 ℃; simulating digestion in an intestinal period, wherein the flow rate of an intestinal buffer solution is 120 ml/min; the intestinal buffer solution comprises 2.79g of sodium chloride, 5.33g of potassium chloride, 41.688g of anhydrous sodium dihydrogen phosphate, 7.47g of anhydrous disodium hydrogen phosphate and 160 ten thousand units of penicillin per 2000ml of solution; the pH value is 6.38 under the condition of 40.5-41.5 ℃.

In the invention, the correlation coefficient of the apparent metabolic energy value and the enzyme hydrolysis energy value is preferably more than 0.9, the correlation of the enzyme hydrolysis energy methods and the emptying strong feeding method energy value is extremely high, and the diet is preferably wheat and corn. The coefficient of variation of apparent metabolic energy value measured by a biological method is preferably 2.5-5.0%, the coefficient of variation of enzyme hydrolysis energy value is preferably 0.47-1.14%, and concretely, the measured AME coefficient of variation of 19 feed samples is below 7.5% and higher than 1.0% in comparison of the test precision, wherein the AME coefficient of variation is mainly concentrated between 2.5-5.0%, and the AME accounts for 84.21% in the range. The SDGE variation coefficients measured by the enzyme hydrolysis energy method are all below 2.5%, wherein the SDGE variation coefficients of 10 samples are all below 1.0%, and account for 52.63% of the total number of the samples. The test precision of the enzymatic hydrolysis energy method is higher than that of the emptying strong feeding method, and the variation coefficients of the enzymatic hydrolysis energy values (SDGE) are all smaller than the apparent metabolic energy corresponding to the emptying strong feeding method.

After obtaining a curve model for correcting the energy value of the enzyme hydrolysis energy and the energy value of the enzyme hydrolysis energy of the crude fiber in the feed, the invention brings the level of the crude fiber in the feed to be detected into a formula E of the correction value of the enzyme hydrolysis energy value formed by the curve model for correcting the energy value of the enzyme hydrolysis energy and the energy value of the enzyme hydrolysis energy of the crude fiber in the feed, and obtains the correction value of the enzyme hydrolysis energy value of the crude fiber in the feed;

correction value of bionic digestion energy value of-0.020 CF²+0.333*CF-0.476+ SDGE formula E.

Wherein, CF is crude fiber, and the unit of the corrected value of the enzyme hydrolysis energy value is MJ/kg.

In the invention, compared with the values of the enzyme hydrolysis energy and the correction values of the enzyme hydrolysis energy, the deviation between the correction values of the enzyme hydrolysis energy (SDGE2) of the corn, the wheat and the rice and the estimation of the apparent metabolic energy can reach the quantitative level for estimating the apparent metabolic energy of the biological method, so the correction values of the enzyme hydrolysis energy can be selected to evaluate the metabolic energy of the goose feed in vitro.

The corrected value of the enzymatic hydrolysis energy is shown in formula F;

corrected value for enzymatic hydrolysis energy-SDGE +0.74 formula F

Wherein SDGE represents the enzyme hydrolysis energy value, 0.74 is the difference of the apparent metabolic energy of the cecal goose under the appropriate crude fiber level and the goose without the cecal goose under the appropriate crude fiber level to obtain the average value of the change of the internal energy value of the cecal, and the unit of the enzyme hydrolysis energy correction value is MJ/kg.

The variety of the goose is not particularly limited, the method is suitable for feed evaluation of all varieties of geese, and in the embodiment of the invention, the goose variety is illustrated by selecting a black bristle goose as a representative.

The method for evaluating the metabolic energy of the goose feed by using the enzymatic hydrolysis energy method provided by the invention is described in detail by the following examples, but the method is not to be construed as limiting the scope of the invention.

The abbreviation list is as follows: