Prediction model for predicting utilization rate of standardized mineral elements of wheat feed raw materials on white feather broiler chickens and construction and application of prediction model

Abstract

The invention discloses a prediction model for predicting the utilization rate of standardized mineral elements of wheat feed raw materials on white feather broiler chickens and construction and application of the prediction model, conventional nutritional ingredients and antinutritional factor contents are obtained as input variables, measured values are taken as output variables, and the standard phosphorus utilization rate = 67.54-2.60 * neutral detergent fibers is obtained; the standardized copper utilization rate is equal to 13.00 + 2.03 * crude protein-3.89 * crude fiber + 13.85 * crude ash-2.51 * phytic acid, the standardized iron utilization rate is equal to 10.05 + 3.21 * crude protein-12.16 * crude fiber + 16.68 * crude ash, and the standardized zinc utilization rate is equal to 14.12 + 29.51 * crude protein-5.42 * crude fiber. The method solves the problems of large workload and long time consumption in the existing determination of the standardized mineral element utilization rate of the wheat feed raw material, and can rapidly predict the standardized mineral element utilization rate of the wheat feed raw material on broiler chickens.

Description

Technical Field

[0001] This invention relates to the fields of animal nutrition and feed science, specifically to a predictive model for the standardized mineral element utilization rate of wheat feed ingredients in broiler chickens, and its construction and application. Background Technology

[0002] Methods for evaluating the utilization rate of mineral elements in broiler feed ingredients mainly include apparent mineral element utilization rate and standardized mineral element utilization rate. Compared with apparent mineral element utilization rate, standardized mineral element utilization rate takes into account the excretion of basal endogenous mineral elements in broilers, and therefore more accurately reflects the true availability of mineral elements in feed ingredients. This study, for the first time, used 21-day-old male broilers (4 replicates, 4 chickens per replicate) on a mineral-free diet (sucrose, 81.0%; cellulose, 8.8%; corn oil, 10%) to determine the total endogenous mineral losses (EML) in broilers, and also measured the SMA (a method for forestimating the mineral availability in feedstuffs, Poultry Science) of protein feed ingredients such as soybean meal. Subsequently, existing literature 1 (Nwokolo et al., Biological availability of minerals in rapeseed meal, Poultry Science, 1980; Wolde-Tsadick, Nutrient availability of wheat feedscreenings in broiler diet, 1982; Chan, The nutritive value of barley for broilers, 1983) disclosed that this method can be used to estimate SMA in broiler feed. However, there are also reports that this method results in incomplete removal of digesta residues and insufficient collection time of excrement, leading to an overestimation of SMA in the feed. Therefore, Reference 2 (A nutritional assessment of African yam bean Sphenostylis stenocarpa (Hochst ex A. Rich) Harms, and bambara groundnut Voandzeia subterranea L, Journal of the Science of Food and Agriculture, 1987; Nutritional evaluation of pigeon pea meal, Plant Foods for Human Nutrition, 1987) improved the original method in subsequent experiments, but still had problems such as unclear excrement collection time and insufficient fasting time.Reference 3 (Liu et al., Development of a procedure to determine standardized mineral availabilities in soybean meal for broiler chicks, Biological Trace Element Research, 2012a; Liu Songbai, Study on standard phosphorus utilization rate, available phosphorus requirement and small intestinal phosphorus absorption mechanism of broiler chickens, Chinese Academy of Agricultural Sciences, 2012) further optimized the experimental method and finally determined the appropriate fasting time and excrement collection time, namely, fasting for 8 hours, then feeding a mineral-free diet for 4 hours, fasting for 24 hours, then feeding the corresponding test diet for 4 hours, and collecting excrement by surgically sewing a plastic bottle cap and putting it in a bag. The excrement collection time was from the start of feeding to 52 hours. Meanwhile, reference 4 (Liu et al., Estimation of standardized phosphorus retention for corn, soybean meal, and corn-soybean meal diet in broilers, Poultry Science, 2012b) used this new method to determine the standardized phosphorus availability value of corn-soybean meal diets. The results showed that it was close to the predicted value of EML obtained from phosphorus-free diets, further proving the applicability of the method. However, the determination process of standardized mineral element utilization is relatively complex, usually requiring the use of the total manure collection method, which is cumbersome, time-consuming, and labor-intensive, limiting its widespread application in actual production.

[0003] Currently, references 5 (Li et al., Predicting corn digestible and metabolizable energy content from its chemical composition in growing pigs, Journal of Animal Science and Biotechnology, 2014; Yun et al., Determination and prediction of standardized ileal amino acid digestibility of wheat in broilers, Poultry Science, 2023) have established predictive equations for the net energy value and standardized ileal amino acid digestibility of certain feed ingredients in broilers. However, there are no reports on predictive equations for the standardized mineral element utilization rate of feed ingredients. If a standardized mineral element utilization rate prediction model can be established based on the conventional nutrient composition and anti-nutritional factor content of wheat-based feed ingredients, it will have significant theoretical and practical implications for achieving precise mineral element addition in broiler diets and improving feed utilization efficiency. Summary of the Invention

[0004] The purpose of this invention is to provide a predictive model for the standardized mineral element utilization rate of wheat feed ingredients in broiler chickens, and its construction and application. This model solves the problems of large workload and long time consumption in the existing methods for determining the standardized mineral element utilization rate of wheat feed ingredients, and directly, quickly and accurately predicts the standardized mineral element utilization rate of wheat feed ingredients in broiler chickens.

[0005] To achieve the above objectives, this invention provides a method for constructing a predictive model for the standardized mineral element utilization rate of wheat feed ingredients in broiler chickens, the method comprising: (1) Obtain the conventional nutrient composition and anti-nutritional factor content of wheat feed ingredients and the standardized mineral element utilization rate; (2) The obtained conventional nutrient components and anti-nutritional factors content are used as input variables, and the measured value of standardized mineral element utilization rate of wheat feed raw materials is used as output variable to establish a prediction model.

[0006] Preferably, the accuracy of the prediction model is based on the coefficient of determination of the prediction model. R 2 , P The values ​​and the difference between the predicted and measured values ​​are used for verification.

[0007] Preferably, the content of conventional nutrients and anti-nutritional factors includes any one or more of crude protein, crude fiber, crude ash, neutral detergent fiber, acid detergent fiber, and phytic acid.

[0008] Preferably, the measured value of the standardized mineral element utilization rate of the wheat feed ingredient is calculated by collecting broiler manure after feeding broiler chickens with mineral-free diets and the wheat diet to be tested.

[0009] This invention provides a prediction model constructed by the construction method described above, the model comprising: Standardized phosphorus utilization rate = 67.54 - 2.60 × neutral detergent fiber; Standardized copper utilization rate = 13.00 + 2.03 × crude protein - 3.89 × crude fiber + 13.85 × crude ash - 2.51 × phytic acid; Standardized iron utilization rate = 10.05 + 3.21 × crude protein - 12.16 × crude fiber + 16.68 × crude ash; Standardized zinc utilization rate = 14.12 + 29.51 × crude protein - 5.42 × crude fiber.

[0010] Preferably, the standardized phosphorus utilization rate is R 2 = 0.449、 P = 0.0483, the standardized copper utilization rate R 2 =0.910、 P = 0.0229.

[0011] Preferably, the standardized iron utilization rate is R 2 = 0.929、 P = 0.0026, the standardized zinc utilization rate R 2 =0.810、 P = 0.0068.

[0012] This invention provides an application of the prediction model as described above in predicting the utilization rate of standardized mineral elements.

[0013] Preferably, the application includes: (1) Obtain the content of conventional nutrients and anti-nutritional factors in the wheat feed raw materials to be tested; (2) The obtained conventional nutrient content and anti-nutritional factor content are used as input variables of the prediction model and substituted into the prediction model for calculation to obtain the predicted value.

[0014] Preferably, the difference between the predicted value and the measured value is ≤7.2%.

[0015] This invention provides a predictive model for the standardized mineral element utilization rate of wheat feed ingredients in broiler chickens, along with its construction and application. This model solves the problems of high workload and time-consuming procedures in existing methods for determining the standardized mineral element utilization rate of wheat feed ingredients, and has the following advantages: This invention, for the first time, establishes a predictive model based on the correlation between the content of conventional nutrients and anti-nutritional factors in wheat feed ingredients and their standardized mineral element utilization rates, providing a method for predicting the standardized mineral element utilization rates of wheat feed ingredients in broiler chickens. First, the content of conventional nutrients and anti-nutritional factors in 10 wheat feed ingredients is obtained. These conventional nutrients and anti-nutritional factors are then input into the corresponding standardized mineral element utilization rate prediction model, allowing for direct and accurate prediction of their standardized mineral element utilization rates. This enables rapid prediction of the standardized mineral element utilization rates of wheat feed ingredients in broiler chickens, simplifying the complex process of standardized mineral element utilization rate determination and providing strong support for the application of standardized mineral element utilization rates in broiler production and the realization of precise broiler feed formulation. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the method for predicting the standardized mineral element utilization rate of wheat feed ingredients in broiler chickens according to the present invention. Detailed Implementation

[0017] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] The utilization rate involved in the following embodiments is detailed below: This invention measures the mineral element utilization rate of wheat feed ingredients for broiler chickens using the standardized mineral element utilization rate. Compared to the apparent mineral element utilization rate, the standardized mineral element utilization rate more accurately reflects the utilization rate of mineral elements in feed ingredients by broiler chickens. Specifically, the apparent mineral element utilization rate is calculated as total mineral element intake minus total mineral element excretion divided by total mineral element intake; the standardized mineral element utilization rate is calculated as total mineral element intake minus total mineral element excretion plus basal endogenous mineral element excretion divided by total mineral element intake.

[0019] In this invention, the content of conventional nutrients was determined according to national standards; the utilization rate of standardized mineral elements of 10 different wheat feed ingredients was determined by metabolic test and total manure collection method; the prediction model was established by using GLM in SAS 9.4 (2013) system to analyze the correlation between wheat chemical component content and standardized mineral element utilization rate and by stepwise regression analysis.

[0020] The calculation equations for total mineral element intake, total mineral element excretion, total basic endogenous mineral element excretion, apparent mineral element utilization rate, and standardized mineral element utilization rate involved in this invention are as follows: Total mineral element intake = mass of dry matter ingested from the tested diet × mineral element content in the dry matter of the tested diet; Total mineral element excretion = mass of dry matter ingested from the tested diet × mineral element content in the dry matter of the tested diet; Total basal endogenous mineral element excretion = mineral element content in the dry matter of excrement from chickens fed a mineral-free diet × mineral element content in the dry matter of excrement from chickens fed a mineral-free diet; Apparent mineral element utilization rate = (total mineral element intake - total mineral element excretion) / total mineral element intake × 100%; Standardized mineral element utilization rate = [total mineral element intake - (total mineral element excretion - total basal endogenous mineral element excretion)] / total mineral element intake × 100%.

[0021] The 10 wheat feed ingredient codes (origin) are as follows: Wheat 1 (Shaanxi); Wheat 2 (Anhui); Wheat 3 (Henan); Wheat 4 (Henan); Wheat 5 (Henan); Wheat 6 (Anhui); Wheat 7 (Imported); Wheat 8 (Hubei); Wheat 9 (Jiangsu); Wheat 10 (Sichuan).

[0022] Example 1 A method for predicting the standardized mineral element utilization rate of wheat feed ingredients in broiler chickens, such as Figure 1 The diagram shows a flowchart of the method for predicting the standardized mineral element utilization rate of wheat feed ingredients in broiler chickens according to the present invention. The method includes: (1) First, the conventional nutrient composition, anti-nutritional factors, and standardized mineral element utilization rates of 10 wheat feed ingredients in broilers were obtained. The chemical composition content of the 10 wheat ingredients (feeding basis) is detailed in Table 1.

[0023] Table 1 Chemical composition of wheat (feeding basis) Remark: 1 It represents the average of two measured values.

[0024] The conventional nutrient components and anti-nutritional factor contents of wheat feed ingredients were obtained through the following methods: The moisture, crude protein, crude fat, crude fiber, neutral detergent fiber, acid detergent fiber, and crude ash contents of 10 wheat feed ingredients were determined by (GB / T 6435-1986), Kjeldahl method (GB / T 6432-1994), (GB / T 6433-2006), (GB / T 18868-2024), (GB / T 20806-2022), (NY / T 1459-2022), and (GB / T 6438-2007), respectively. Phytic acid content was determined by phytic acid content kit-microplate method (Suzhou Keming Biotechnology Co., Ltd., SAP-2-Y).

[0025] (2) The standardized mineral element utilization rate of wheat feed ingredients in broilers was obtained through broiler digestion and metabolism experiments, as follows: A single-factor, completely randomized experimental design was employed. Arbor Acres (AA) broiler chickens aged 22 days were used in the experiment, with a pre-feeding period from 1 to 21 days of age and the experimental period from 22 to 28 days of age. To ensure the rigor of the experimental process and data, the animal experiment was conducted at the Changping Experimental Base of the Beijing Institute of Animal Husbandry and Veterinary Medicine, Chinese Academy of Agricultural Sciences. The experiment consisted of one mineral-free diet group and ten wheat-fed diet groups, for a total of 11 treatment groups. Each treatment group had seven replicates, with four chickens per replicate.

[0026] The experiment purchased 350 healthy, one-day-old male Arbor Acqua broiler chickens from Huadu, Luanping, Hebei Province. From 1 to 21 days and from 22 to 24 days of age, the chickens were allowed free access to commercial feed purchased from Beijing Zhengda Feed Co., Ltd. At 22 days of age, 308 healthy chickens with uniform weight (in replicates, the individual weight of each chicken or the average weight variation between replicates was less than 3% of the total flock) were selected for cloacal cap suturing. A cap with a diameter of approximately 40 mm was selected, with a central hole of approximately 30 mm and eight symmetrical small holes drilled around the perimeter for fixation. Using a sterilized surgical needle and suture, the central hole of the cap was aligned with the chicken's cloaca and sutured to the skin for excrement collection. After a 3-day acclimatization period, the 308 chickens were randomly divided into 11 treatment groups, each group consisting of 7 replicate cages with 4 chickens per replicate cage. The rearing cages were stainless steel metabolic cages. All chickens were fasted for 8 hours starting at 10 PM on day 24. The following morning (day 25), all treatment groups were fed a mineral-free diet for 4 hours, followed by a 24-hour fast to allow for complete emptying of the broiler's intestines. At 10 AM on day 26, chickens in the mineral-free diet group and each of the wheat treatment groups were fed the mineral-free diet and the respective wheat diet for 4 hours, respectively. Chickens had free access to their respective diets, and the start and end times of feeding and the weight of feed consumed were accurately recorded. Spilled feed was collected and weighed regularly for accurate feed intake calculation. From 10 PM on day 24 until the end of the experiment, chickens had free access to deionized water; otherwise, they had free access to tap water. The experimental chickens were ensured to exhibit no unusual behaviors, pica, or significant stress responses during the experimental period.

[0027] All tested wheat diets were formulated by adjusting the content of glucose, gelatin, soybean oil, cellulose, and synthetic amino acids on the basis of mineral-free diets. The composition and nutritional level of the mineral-free diets and the tested wheat diets are shown in Table 2. All other nutritional indicators except minerals meet or exceed the nutritional requirements of poultry in the US NRC (1994) and the recommended nutritional requirements of broiler chickens at the corresponding stages in the Chinese chicken feeding standard NY / T-33-2004.

[0028] Table 2 Composition and nutrient levels of mineral-free diets and wheat-based diets for broiler chickens (basal feeding) Remark: 1 Food grade. 2 Reagent grade. 3Add the following per kilogram of feed: Vitamin A (all-trans retinoic acid ester) 8000 IU; Vitamin D3 3000 IU; Vitamin E (racemic-α-tocopherol acetate) 22 IU; Vitamin K (menaquinone sodium bisulfite) 2 mg; Vitamin B1 (thiamethoxam mononitrate) 2 mg; Vitamin B2 6.4 mg; Vitamin B6 3 mg; Vitamin B... 12 0.02 mg; Calcium pantothenate 10 mg; Niacin 36 mg; Folic acid 1 mg; Biotin 0.1 mg; Choline (choline chloride) 500 mg. 4 Calculated value. 5 Measured value. @ Purchased from Shandong Xiwang Pharmaceutical Co., Ltd. # Purchased from Jiangxi Fumeitai Biotechnology Co., Ltd. & Purchased from Shanghai Yuanju Biotechnology Co., Ltd., China. * The mineral-free diet formulation and nutrient levels were derived from the mineral-free diet formulations of 25-28 day old broilers in a trial evaluating the utilization rate of standardized mineral elements in feed ingredients by Liu et al. (2019). Strict control of the mineral content in various raw materials is essential to prevent contamination during feed formulation. Simultaneously, the final content of macroelements such as calcium, phosphorus, magnesium, and potassium in the mineral-free diet must be <0.01%, and the content of microelements such as copper, iron, manganese, and zinc must be <10.00 mg / kg.

[0029] At 10:00 AM on day 26, while feeding chickens a mineral-free diet and the wheat-based diet to be tested, a manure collection bag was attached to the cap of a bottle in the cloaca to collect excrement. The frequency of collection was determined by the amount of excrement in the bag (generally, it was replaced approximately every 4 hours), for a total of 52 hours. Collection ended at 2:00 PM on day 28, ensuring no leakage, spillage, or damage. The excrement collected from each duplicate cage was combined into one sample, placed in a clean, sealed plastic bag, and frozen at -20°C for later analysis.

[0030] The collected excrement was dried (or freeze-dried) at 65°C to constant weight and then allowed to rehydrate at room temperature for 24 hours. The weight of each replicate of air-dried excrement was recorded. The feed ingredients, feed, and air-dried excrement samples were then crushed or ground using a stainless steel pulverizer or grinder and passed through a 0.45 mm analytical sieve. After being mixed evenly, the samples were placed in sample bags, dried, and stored for analysis.

[0031] Sample Analysis The crude protein content of 10 wheat diets to be tested will be determined by the Kjeldahl method (GBT 6432-2018). The contents of calcium, phosphorus, potassium, magnesium, copper, iron, manganese and zinc in the wheat diets and excrement will be determined by a 5110 inductively coupled plasma optical emission spectrometer (5110 ICP-OES, Agilent Technologies Australia (M) Pty Ltd, Australia) after wet digestion of the samples with nitric acid and perchloric acid, in accordance with the method (GB / T 13885-2017).

[0032] Total mineral element intake = mass of dry matter ingested from the tested diet × mineral element content in the dry matter of the tested diet; Total mineral element excretion = mass of dry matter ingested from the tested diet × mineral element content in the dry matter of the tested diet; Total basal endogenous mineral element excretion = mineral element content in the dry matter of excrement from chickens fed a mineral-free diet × mineral element content in the dry matter of excrement from chickens fed a mineral-free diet; Apparent mineral element utilization rate = (total mineral element intake - total mineral element excretion) / total mineral element intake × 100%; Standardized mineral element utilization rate = [total mineral element intake - (total mineral element excretion - total basal endogenous mineral element excretion)] / total mineral element intake × 100%.

[0033] One-way ANOVA was performed on SMA data of phosphorus and other mineral elements in different wheat samples using the General Linear Equation (GLM) in SAS 9.4 (2013). For samples with significant variance, the Least Significant Difference (LSD) method was used to compare the significance of differences between means. Each replicate cage served as the experimental unit. P <0.05 was used as the significance level for the difference test. The experimental results are detailed in Table 3.

[0034] Table 3 Standardized mineral element utilization rates of broiler chickens on wheat from 10 different origins. Note: The values ​​represent the mean ± standard deviation of 5-7 replicate cages (4 chickens per replicate cage) (n = 5-7). a, b, c, d The differences between values ​​with different superscript letters in the same row are significant. P <0.05).

[0035] Table 3 shows that the standardized utilization rates of calcium, potassium, iron, and zinc in broiler chickens differ significantly among wheat origins. P<0.05). The average utilization rate of standardized mineral elements in broiler chickens from wheat of different origins ranged from 36.17% to 66.25%. Among macroelements, standardized phosphorus had the lowest utilization rate (37.53%), while standardized calcium had the highest (66.25%). Among microelements, standardized manganese had the lowest utilization rate (36.17%), while standardized iron had the highest (52.66%). The coefficient of variation for all standardized mineral element utilization rates did not exceed 15%, with standardized manganese having the lowest coefficient of variation (36.17%) and standardized potassium having the highest (46.32%). Specifically, group 8 had the highest standardized potassium utilization rate (54.0%), while group 10 had the lowest (32.4%).

[0036] The standardized utilization rates of calcium, phosphorus, potassium, magnesium, copper, iron, manganese and zinc of wheat from 10 different origins by broiler chickens were 66.3%, 37.5%, 46.3%, 37.8%, 36.2%, 52.7%, 36.2% and 47.7%, respectively.

[0037] A method for constructing a standardized predictive model for the mineral element utilization rate of wheat feed ingredients in broiler chickens, the specific method is as follows: The correlation between the chemical composition content of wheat feed ingredients and the standardized mineral element utilization rate was analyzed using GLM in SAS 9.4 (2013). Nine wheat feed ingredients were selected to construct a standardized mineral element utilization rate formula. Stepwise regression was used to progressively substitute independent variables into the formula. If the formula was statistically significant, it was included in the regression model; variables with insignificant differences were removed. Finally, a standardized mineral element utilization rate prediction model was obtained. The correlation analysis results between the chemical composition content of wheat feed ingredients and the standardized mineral element utilization rate, as well as the results of the established standardized mineral element utilization rate prediction model, are shown in Tables 4 and 5, respectively.

[0038] Table 4. Correlation (r) analysis of wheat-standardized mineral element utilization rate and its chemical composition content (feeding basal layer) in broiler chickens. Remark: * Significant differences were represented ( P <0.05. The indicators used for correlation (r) analysis were the values ​​of the nine wheat feed ingredients (n=9).

[0039] Table 5. Using wheat chemical composition content (feeding basis) to construct a prediction model for the standardized mineral element utilization rate of broiler chickens. Note: CP, crude protein (%); NDF, neutral detergent fiber (%); CA, crude ash (%); CF, crude fiber (%); PA, phytic acid (g / kg). This experiment used numerical models (n=9) to construct prediction models for 9 wheat feed ingredients.

[0040] As shown in Table 5, the standardized mineral element utilization prediction model is as follows: Standardized phosphorus utilization (%) = 67.54 - 2.60 × neutral detergent fiber ( R 2 = 0.449, P = 0.0483), Standardized copper utilization rate (%) = 13.00 + 2.03 × crude protein - 3.89 × crude fiber + 13.85 × crude ash - 2.51 × phytic acid ( R 2 = 0.910, P = 0.0229), Standardized iron utilization rate (%) = 10.05 + 3.21 × crude protein - 12.16 × crude fiber + 16.68 × crude ash ( R 2 = 0.929, P =0.0026); Standardized zinc utilization rate (%) = 14.12 + 29.51 × crude protein - 5.42 × crude fiber ( R 2 = 0.810, P =0.0068).

[0041] A predictive model for predicting the standardized mineral element utilization rate of wheat feed ingredients in broiler chickens, the predictive model comprising: Standardized phosphorus utilization rate (%) = 67.54 - 2.60 × neutral detergent fiber ( R 2 = 0.449, P = 0.0483); Standardized copper utilization rate (%) = 13.00 + 2.03 × crude protein - 3.89 × crude fiber + 13.85 × crude ash - 2.51 × phytic acid ( R 2 = 0.910, P = 0.0229); Standardized iron utilization rate (%) = 10.05 + 3.21 × crude protein - 12.16 × crude fiber + 16.68 × crude ash ( R 2 = 0.929, P = 0.0026); Standardized zinc utilization rate (%) = 14.12 + 29.51 × crude protein - 5.42 × crude fiber ( R 2 = 0.810,P = 0.0068).

[0042] Example 2: Verifying the accuracy of the above prediction model Before establishing the prediction model, the RANDGEN subroutine in SAS software was used to randomly select one wheat feed ingredient from the aforementioned 10 different wheat feed ingredients as a sample to test the accuracy of the prediction model. The randomly selected wheat feed ingredient sample (resulting in wheat 1) was used to externally validate the prediction model. The standardized mineral element utilization rate of wheat 1 feed ingredient sample in broilers was obtained through a broiler digestion and metabolism test method identical to that in Example 1, yielding measured values. The conventional nutrient components and anti-nutritional factor contents of wheat 1 were input into the prediction model to obtain the predicted value of the standardized mineral element utilization rate of wheat 1 in broilers. The obtained predicted and measured values ​​were statistically analyzed, and the results of verifying the accuracy of the prediction model are shown in Table 6.

[0043] Table 6 uses wheat as a test to verify the accuracy of the wheat-standardized mineral element utilization prediction model for broiler chickens (feeding basis). Note: The measured value ± standard deviation is the mean ± standard deviation of 5-7 repeated values ​​(n=5-7).

[0044] As shown in Table 6, the randomized test results indicate that the predicted values ​​of all standardized mineral element utilization rate prediction models are within the range of measured values ​​± standard deviation, demonstrating accurate prediction. This further illustrates that the standardized mineral element utilization rate prediction model constructed in this invention has certain reference value.

[0045] Although the present invention has been described in detail through the preferred embodiments above, it should be understood that the above description should not be considered as a limitation of the present invention. Various modifications and substitutions to the present invention will be apparent to those skilled in the art after reading the above description. Therefore, the scope of protection of the present invention should be defined by the appended claims.

Claims

1. A method for constructing a prediction model for predicting the standardized mineral element utilization of wheat feedstock on white-feathered broilers, characterized by, The method comprises: (1) obtaining the conventional nutrient components and anti-nutritional factor contents of the wheat feed raw material and the standardized mineral element utilization rate; (2) taking the obtained conventional nutrient components and anti-nutritional factor contents as input variables and taking the measured value of the standardized mineral element utilization rate of the wheat feed raw material as an output variable to establish a prediction model.

2. The construction method of claim 1, wherein, The accuracy of the prediction model is verified according to the coefficient of determination of the prediction model R 2 , P the value and the difference between the predicted value and the measured value.

3. The construction method of claim 1, wherein, The conventional nutrient components and anti-nutritional factor contents include any one or more of crude protein, crude fiber, crude ash, neutral detergent fiber, acid detergent fiber and phytic acid.

4. The construction method of claim 1, wherein, The measured value of the standardized mineral element utilization rate of the wheat feed raw material is obtained by feeding white-feathered broiler chickens with mineral element-free feed and the wheat feed to be tested, respectively, collecting the feces of the white-feathered broiler chickens and calculating the results.

5. A predictive model constructed according to the construction method of any one of claims 1 to 4. The model comprises: Standardized phosphorus utilization rate = 67.54-2.60 x neutral detergent fiber; Standardized copper utilization rate = 13.00+2.03 x crude protein-3.89 x crude fiber+13.85 x crude ash-2.51 x phytic acid; Standardized iron utilization rate = 10.05+3.21 x crude protein-12.16 x crude fiber+16.68 x crude ash; Standardized zinc utilization rate = 14.12+29.51 x crude protein-5.42 x crude fiber.

6. The prediction model of claim 5, wherein, the standardized phosphorus utilization of R 2 = 0.449, P = 0.0483, the standardized copper utilization of R 2 = 0.910, P = 0.0229.

7. The prediction model of claim 6, wherein, the standardized iron utilization of R 2 = 0.929, P = 0.0026, the standardized zinc utilization of R 2 = 0.810, P = 0.0068.

8. Use of the prediction model according to any one of claims 5-7 in predicting the standardized mineral element utilization rate.

9. Use according to claim 8, characterized in that, The use comprises: (1) obtaining the conventional nutrient components and anti-nutritional factor contents of the wheat feed raw material to be tested; (2) taking the obtained conventional nutrient components and anti-nutritional factor contents as input variables of the prediction model and substituting them into the prediction model to obtain a predicted value.

10. Use according to claim 9, characterized in that, The difference between the predicted value and the measured value is ≤7.2%.

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