Eggshell quality evaluation method for poultry breeding and eggshell quality optimization feed

Abstract

The invention relates to the technical field of eggshell improvers, in particular to an eggshell quality evaluation method for poultry breeding and an eggshell quality optimized feed.The method comprises the steps that the actual egg breaking rate in an analysis period is calculated, the egg breaking rate reference value is determined, and then the eggshell quality state is evaluated; evaluating and analyzing the total calcium intake level in the cycle, and calculating a calcium intake coefficient; determining a temperature and humidity index based on the temperature and the relative humidity in the analysis period, and further determining a heat stress measure; determining an eggshell load measure based on the average day age and the average egg weight of the chicken flocks, and fusing the calcium intake coefficient, the heat stress measure and the eggshell load measure to determine a comprehensive risk index; quality problem types are diagnosed based on eggshell quality status, calcium intake coefficients, heat stress metrics, and eggshell load metrics. According to the invention, accurate and prospective decision support is provided for reducing egg breaking loss in poultry breeding.

Description

Technical Field

[0001] This invention relates to the field of eggshell improver technology, and in particular to a method for evaluating eggshell quality in poultry farming and an eggshell quality-optimized feed. Background Technology

[0002] In large-scale poultry farming, eggshell quality is a key indicator affecting economic benefits and animal welfare. Increased broken egg rates directly lead to revenue losses and are often an early sign of health or nutritional problems in the flock. Traditional eggshell quality monitoring relies mainly on manual sampling and post-event statistics, which are severely lagging and unable to provide real-time early warnings.

[0003] Meanwhile, factors affecting eggshell quality are complex and diverse, including nutritional intake (especially calcium), environmental heat stress, flock age, and egg weight load, all of which are intertwined. Existing management methods often view single data points in isolation (such as focusing only on the number of broken eggs or temperature), lacking a systematic approach that simultaneously collects multi-source data and integrates it for physiological and production model-based analysis and root cause diagnosis. This makes it difficult for managers to accurately identify the root cause in the early stages of a problem, thus hindering timely and precise intervention, and forcing them to only attempt remedial measures after losses have occurred. Summary of the Invention

[0004] The purpose of this invention is to provide a method for evaluating eggshell quality in poultry farming and an eggshell quality-optimized feed, so as to solve at least one of the problems existing in the prior art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] A method for evaluating eggshell quality in poultry farming, comprising:

[0007] Calculate the actual egg breakage rate within the analysis period, determine the benchmark value of the egg breakage rate, and then evaluate the eggshell quality status.

[0008] Assess and analyze the total calcium intake level during the analysis period and calculate the calcium intake coefficient;

[0009] The temperature and humidity index is determined based on the temperature and relative humidity within the analysis period, and then the heat stress measure is determined.

[0010] Eggshell load was determined based on the average age of the flock and the average egg weight, and a comprehensive risk index was determined by integrating the calcium intake coefficient, heat stress measurement and eggshell load measurement.

[0011] The types of quality problems are diagnosed based on eggshell quality status, calcium intake coefficient, heat stress measurement, eggshell load measurement, and comprehensive risk index.

[0012] Further, calculate the actual egg breakage rate BR for the current analysis period, BR=(A1 / AZ)×100%, where A1 is the total number of broken eggs in the current analysis period and AZ is the total number of eggs produced in the current analysis period;

[0013] Based on the current average age (AD) of the flock, determine the baseline value (Bb) for the egg breakage rate:

[0014] When AD is less than or equal to the first preset age r1, Bb is determined to be b1;

[0015] When AD is greater than the first preset age r1 and less than or equal to the second preset age r2, determine Bb = b1 + b0 × (AD - r1);

[0016] When AD is greater than the second preset age r2, Bb is determined to be b2;

[0017] Wherein, b1 is the first preset reference value, b2 is the second preset reference value, and b0 is the preset adjustment value.

[0018] Furthermore, the actual breakage rate BR is compared with the breakage rate benchmark value Bb to assess the eggshell quality status:

[0019] If BR is less than or equal to Bb, then the eggshell quality status of the current analysis cycle is determined to be up to standard.

[0020] If BR is greater than Bb, the eggshell quality status of the current analysis cycle is determined to be substandard.

[0021] When the eggshell quality status in the current analysis period is substandard, calculate the quality deviation coefficient Qd, Qd=(BR-Bb) / Bb.

[0022] Furthermore, based on the eggshell quality, the calcium content c in the feed is optimized, and combined with the total feed consumption Ft of the flock during the analysis period, the total calcium intake Cai during the analysis period is calculated, Cai = c × Ft.

[0023] Based on the current egg production rate LR of the flock, determine the target calcium consumption Can, Can = LR × J × u; J is the total number of chickens in the flock, u is the preset correction coefficient;

[0024] The calcium intake coefficient Cc is calculated based on the target calcium consumption Can, where Cc = Cai / (Can × k), and k is a preset safety factor.

[0025] Furthermore, the average ambient temperature T and average relative humidity RH during the analysis period are calculated respectively, and then the temperature and humidity index THI is calculated as follows: THI = 0.8 × T + (RH × (T - 14.4)) / 100 + 46.4.

[0026] Furthermore, the temperature and humidity index (THI) within the analysis period is compared with each preset temperature and humidity index threshold to determine the heat stress metric (Hs).

[0027] When THI is less than or equal to the first preset temperature and humidity index threshold f1, the heat stress metric Hs is determined to be 0.

[0028] When THI is greater than the first preset temperature and humidity index threshold f1 and less than or equal to the second preset temperature and humidity index threshold f2, the heat stress measure Hs is determined as (THI-f1) / 10.

[0029] When THI is greater than the second preset temperature and humidity index threshold f2, the heat stress metric Hs is determined as min(2,(1+(THI-80) / 5)).

[0030] Furthermore, the expression for the eggshell load measure Ls is: Ls=(We / wb)×(1+α×max(0,AD-280)); where wb is the preset standard peak egg weight, and α is the preset age influence coefficient.

[0031] Furthermore, the comprehensive risk index Rc is determined by integrating the calcium intake coefficient Cc, the heat stress measure Hs, and the eggshell load measure Ls, Rc=w1×max(0,1-Cc)+w2×Hs / 2+w3×max(0,Ls-1);

[0032] Where w1 is the calcium nutrition weight, w2 is the heat stress weight, w3 is the load weight, and w1+w2+w3=1.

[0033] Furthermore, when the eggshell quality status in the current analysis period is determined to be substandard, the system makes a logical judgment based on the quality deviation coefficient Qd, calcium intake coefficient Cc, heat stress measure Hs, and eggshell load measure Ls, and calculates the relative contribution of each risk component in the comprehensive risk index Rc to diagnose the type of quality problem.

[0034] Calculate each risk component:

[0035] Calcium intake risk component: RCa = w1 × max(0, 1-Cc);

[0036] Heat stress risk component: RHs = w² × Hs / 2;

[0037] Eggshell load risk component: RLs=w3×max(0,Ls-1);

[0038] If Rc equals 0, it is determined to be of unknown risk type, and the subsequent type determination logic is skipped;

[0039] If the overall risk index Rc is greater than 0, then calculate the relative contribution percentage of each risk component in Rc: Calculate the relative contribution percentage of each risk component in Rc:

[0040] Contribution of calcium intake: PCa = RCa / Rc;

[0041] Contribution of heat stress: PHs = RHs / Rc;

[0042] Eggshell load contribution: PLs = RLs / Rc;

[0043] If the quality deviation coefficient Qd is greater than the preset deviation threshold and the calcium intake coefficient is less than the first preset intake threshold, and at the same time, PCa is the highest among the three contributions and PCa is greater than or equal to 0.4, the quality problem type is determined to be calcium deficiency.

[0044] If the quality deviation coefficient Qd is greater than the preset deviation threshold and the heat stress measurement is greater than the first preset heat stress threshold, and at the same time, PHs is the highest among the three contribution values ​​and PHs is greater than or equal to 0.4, the quality problem is determined to be heat stress induced.

[0045] If the quality deviation coefficient Qd is greater than the preset deviation threshold, the eggshell load measurement is greater than the preset load threshold, the calcium intake coefficient is greater than or equal to the second preset intake threshold, and the heat stress measurement is less than or equal to the second preset heat stress threshold, and at the same time, PLs is the highest among the three contributions, and PLs is greater than or equal to 0.4, the quality problem is determined to be of the high eggshell load type.

[0046] If the quality status is substandard and does not meet any of the above-mentioned judgment conditions, or meets two or more judgment conditions at the same time, it is judged as a composite factor type.

[0047] According to another aspect of this application, an eggshell quality-optimized feed is provided, comprising, by weight percentage, the following components: 63.6% corn, 24.0% soybean meal, 10.0% limestone powder, 1.0% dicalcium phosphate, 0.3% salt, 0.1% choline chloride, 0.2% methionine, 0.1% lysine, 0.05% vitamin premix, 0.1% trace element premix, and 0.55% carrier.

[0048] The beneficial effects of this invention are as follows: This invention provides a method for evaluating eggshell quality in poultry farming. By automatically and synchronously collecting production, environmental, and management data, a multi-level, intelligent online evaluation and diagnostic system is constructed. This method, for the first time, compares the actual egg breakage rate with a dynamic benchmark based on egg age in real time, achieving an immediate and objective assessment of eggshell quality status. By calculating the calcium intake coefficient, the total calcium supply in the feed is correlated with the theoretical requirements for eggshell formation, accurately quantifying the calcium nutritional balance. Environmental data is scientifically converted into a heat stress metric through the temperature and humidity index, objectively reflecting the intensity of environmental stress. Furthermore, it innovatively integrates three core risk dimensions—nutrition, environment, and physiological load—to generate a comprehensive risk index, achieving a quantitative rating of eggshell quality risk. Finally, when quality fails to meet standards, the system can automatically analyze the contribution of each risk factor and diagnose the dominant problem type (such as insufficient calcium intake, heat stress-induced issues, or high egg weight load), thus transforming traditional result monitoring into process early warning and root cause analysis. This invention greatly improves the timeliness, accuracy, and foresight of eggshell quality management, provides direct decision support for reducing broken egg losses and implementing precise nutrition and environmental control, and promotes the digital and intelligent management level of poultry farming. Attached Figure Description

[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 This is a flowchart illustrating the eggshell quality evaluation method for poultry farming in this embodiment.

[0051] Figure 2 This is a flowchart illustrating the method for evaluating the quality status of eggshells in this embodiment.

[0052] Figure 3 This is a flowchart illustrating the method for determining the thermal stress metric in this embodiment. Detailed Implementation

[0053] To more clearly illustrate the present invention, the following description, in conjunction with preferred embodiments and accompanying drawings, further explains the invention. Similar components in the drawings are indicated by the same reference numerals. Those skilled in the art should understand that the specific description below is illustrative rather than restrictive and should not be construed as limiting the scope of protection of the present invention.

[0054] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0055] Please see Figure 1 As shown, this is a flowchart illustrating the eggshell quality evaluation method for poultry farming in this embodiment. Before the method is executed, the system synchronously collects data with the management system through various monitoring terminals deployed in the chicken house, including:

[0056] The total number of eggs produced and the number of broken eggs per hour are collected through an electronic counting and sorting device at the end of the egg collection line.

[0057] The total feed consumption of the flock per hour is collected by intelligent weighing sensors on the feeding line.

[0058] Temperature and humidity sensors deployed inside the chicken house are used to collect average temperature and average relative humidity data for the chicken house environment.

[0059] The poultry management information system synchronously acquires flock data, including: total number of chickens, average age of the flock, standard value of calcium content in the current feed formula, and average egg weight data obtained through egg weight sampling or online egg weight sensors.

[0060] The method includes:

[0061] Step S1: Calculate the actual egg breakage rate within the analysis period and determine the benchmark value of the egg breakage rate, thereby assessing the eggshell quality status.

[0062] Specifically, the “analysis cycle” mentioned in this method refers to the basic time unit for data aggregation and computational evaluation. To balance data stability and timeliness, the default analysis cycle is 24 hours (1 day).

[0063] Please see Figure 2 As shown, the method for evaluating the quality status of the eggshell includes:

[0064] Step S11: Calculate the actual egg breakage rate within the analysis period and determine the benchmark value for the egg breakage rate.

[0065] Specifically, calculate the actual egg breakage rate BR for the current analysis period: BR = (A1 / AZ) × 100%, where A1 is the total number of broken eggs in the current analysis period and AZ is the total number of eggs produced in the current analysis period.

[0066] Based on the current average age (AD) of the flock, determine the baseline value (Bb) for the egg breakage rate:

[0067] When AD is less than or equal to the first preset age r1, Bb is determined to be b1;

[0068] When AD is greater than the first preset age r1 and less than or equal to the second preset age r2, determine Bb = b1 + b0 × (AD - r1);

[0069] When AD is greater than the second preset age r2, Bb is determined to be b2;

[0070] Wherein, b1 is the first preset reference value, b2 is the second preset reference value, and b0 is the preset adjustment value.

[0071] Specifically, in this embodiment, the first preset age is 250 days, the second preset age is 450 days, the first preset baseline value is 0.5%, the second preset baseline value is 2.5%, and the preset adjustment value is 0.01% / day.

[0072] Specifically, this step defines the calculation method for the actual egg breakage rate, and its core lies in establishing a phased dynamic benchmark model. This model sets a lower, stricter benchmark in the early stages of egg production, a higher, more reasonable benchmark in the later stages, and achieves a smooth transition in the intermediate stages. This method effectively distinguishes between a slow increase in egg breakage rate due to normal physiological aging and an abnormal surge caused by management or health problems, laying a scientific and reasonable comparative benchmark for the entire evaluation system and making the status assessment results more convincing and instructive.

[0073] Please continue reading. Figure 2 As shown, the method for evaluating the quality of eggshells further includes:

[0074] Step S12: Evaluate the eggshell quality status and calculate the quality deviation coefficient.

[0075] Specifically, the actual breakage rate BR is compared with the breakage rate benchmark value Bb to assess the eggshell quality status:

[0076] If BR is less than or equal to Bb, then the eggshell quality status of the current analysis cycle is determined to be up to standard.

[0077] If BR is greater than Bb, the eggshell quality status of the current analysis cycle is determined to be substandard.

[0078] When the eggshell quality status in the current analysis period is substandard, calculate the quality deviation coefficient Qd, Qd=(BR-Bb) / Bb.

[0079] Specifically, this step makes a qualitative judgment of "meeting the standard" or "not meeting the standard" based on a dynamic benchmark, and calculates a quality deviation coefficient when the standard is not met. This coefficient quantifies the degree to which the actual egg breakage rate deviates from the benchmark, providing not only an intuitive measure of the severity of the problem and serving as a master switch to trigger subsequent in-depth diagnosis, but also an important intensity reference indicator for subsequent risk analysis and type judgment, enabling the system to distinguish between minor fluctuations and serious anomalies.

[0080] Please continue reading. Figure 1 As shown, the eggshell quality evaluation method for poultry farming also includes:

[0081] Step S2: Assess and analyze the total calcium intake level during the analysis period and calculate the calcium intake coefficient.

[0082] Specifically, based on the calcium content c in the feed optimized for eggshell quality, and combined with the total feed consumption Ft of the flock during the analysis period, the total calcium intake Cai during the analysis period is calculated, Cai = c × Ft.

[0083] Based on the current egg production rate LR of the flock, determine the target calcium consumption Can, Can = LR × J × u; J is the total number of chickens in the flock, u is the preset correction coefficient;

[0084] The calcium intake coefficient Cc is calculated based on the target calcium consumption Can, where Cc = Cai / (Can × k), and k is a preset safety factor.

[0085] Specifically, in this embodiment, the calcium content is expressed in grams per kilogram, the total feed consumption of the flock is expressed in kilograms, the preset safety factor is 1.2, and the preset correction factor is 2.2 grams per egg.

[0086] Specifically, this step calculates the calcium intake coefficient by comparing the total calcium intake of the flock through feed during the analysis period with the theoretical calcium consumption required for eggshell formation during the same period. This coefficient transforms the abstract calcium nutrient level into an intuitive and quantifiable balance indicator, directly reflecting the sufficiency of calcium supply relative to eggshell demand. This breaks through the traditional limitation of focusing only on the calcium content of feed formulations, incorporating feed intake as a key variable into the evaluation. It can promptly identify potential calcium deficiency risks caused by decreased feed intake or deviations in formulation implementation, providing crucial data support for achieving precise nutritional regulation.

[0087] Please continue reading. Figure 1 As shown, the eggshell quality evaluation method for poultry farming also includes:

[0088] Step S3: Determine the temperature and humidity index based on the temperature and relative humidity during the analysis period, and then determine the heat stress measure.

[0089] Specifically, this step integrates environmental temperature and humidity data using a mature temperature and humidity index model, and further transforms it into a standardized heat stress metric. This metric converts the complex environmental state into a linear or piecewise linear monotonic index, more scientifically characterizing the intensity of heat stress on the flock, and is more accurate than a single temperature index. This achieves an objective and quantitative evaluation of environmental risk factors, providing standardized input for subsequent comprehensive assessment of the impact of the environment on eggshell quality.

[0090] Please see Figure 3 As shown, the method for determining the heat stress metric includes:

[0091] Step S31: Determine the temperature and humidity index based on the ambient temperature and relative humidity during the analysis period.

[0092] Specifically, the average ambient temperature T and average relative humidity RH during the analysis period are calculated respectively, and then the temperature and humidity index THI is calculated, THI=0.8×T+(RH×(T-14.4)) / 100+46.4.

[0093] Specifically, in this embodiment, the unit of ambient temperature is ℃ and the unit of relative humidity is %. When calculating the temperature and humidity index, both T and RH are substituted with numerical values.

[0094] Please continue reading. Figure 3 As shown, the method for determining the thermal stress metric further includes:

[0095] Step S32: Determine the heat stress measure based on the temperature and humidity index.

[0096] Specifically, the temperature and humidity index (THI) within the analysis period is compared with each preset temperature and humidity index threshold to determine the heat stress metric (Hs).

[0097] When THI is less than or equal to the first preset temperature and humidity index threshold f1, the heat stress metric Hs is determined to be 0.

[0098] When THI is greater than the first preset temperature and humidity index threshold f1 and less than or equal to the second preset temperature and humidity index threshold f2, the heat stress measure Hs is determined as (THI-f1) / 10.

[0099] When THI is greater than the second preset temperature and humidity index threshold f2, the heat stress metric Hs is determined as min(2,(1+(THI-80) / 5)).

[0100] Specifically, in this embodiment, the first preset temperature and humidity index threshold is 70, and the second preset temperature and humidity index threshold is 80.

[0101] Please continue reading. Figure 1 As shown, the eggshell quality evaluation method for poultry farming also includes:

[0102] Step S4: Determine the eggshell load measure based on the average age and average egg weight of the flock, and combine the calcium intake coefficient, heat stress measure and eggshell load measure to determine the comprehensive risk index.

[0103] Specifically, the expression for the eggshell load measure Ls is: Ls=(We / wb)×(1+α×max(0,AD-280)); where wb is the preset standard peak egg weight, and α is the preset age influence coefficient;

[0104] The comprehensive risk index Rc was determined by combining the calcium intake coefficient Cc, the heat stress measure Hs, and the eggshell load measure Ls. Rc = w1×max(0,1-Cc) + w2×Hs / 2 + w3×max(0,Ls-1).

[0105] Where w1 is the calcium nutrition weight, w2 is the heat stress weight, w3 is the load weight, and w1+w2+w3=1.

[0106] Specifically, in this embodiment, the calcium nutrition weight is 0.5, the heat stress weight is 0.3, the load weight is 0.2, and the preset standard peak egg weight represents the typical egg weight of the breed of chicken during the peak egg production period. Taking Hy-Line Brown chicken as an example, it can be taken as 60g. The preset age influence coefficient is 0.005 / day, and the average egg weight unit is grams.

[0107] Specifically, this step first constructs an eggshell load metric to quantify the risk of physiological eggshell thinning due to excessive egg weight and increasing age. Then, it innovatively integrates three heterogeneous indicators representing nutritional, environmental, and physiological loads (calcium intake coefficient, heat stress metric, and eggshell load metric) into a weighted composite risk index. This index comprehensively quantifies the sum of various risks detrimental to eggshell quality currently faced by the flock from multiple dimensions, achieving an integrated and quantitative evaluation of complex risks. This allows managers to clearly grasp the overall risk level and provides a holistic perspective for decision-making.

[0108] Please continue reading. Figure 1 As shown, the eggshell quality evaluation method for poultry farming also includes:

[0109] Step S5: Diagnose the type of quality problem based on eggshell quality status, calcium intake coefficient, heat stress measurement, eggshell load measurement, and comprehensive risk index.

[0110] Specifically, when the eggshell quality status is determined to be substandard in the current analysis period, the system makes a logical judgment based on the quality deviation coefficient Qd, calcium intake coefficient Cc, heat stress measure Hs, and eggshell load measure Ls, and calculates the relative contribution of each risk component in the comprehensive risk index Rc to diagnose the type of quality problem.

[0111] Calculate each risk component:

[0112] Calcium intake risk component: RCa = w1 × max(0, 1-Cc);

[0113] Heat stress risk component: RHs = w² × Hs / 2;

[0114] Eggshell load risk component: RLs=w3×max(0,Ls-1);

[0115] If Rc equals 0, it is determined to be of unknown risk type, and the subsequent type determination logic is skipped;

[0116] If the overall risk index Rc is greater than 0, then calculate the relative contribution percentage of each risk component in Rc: Calculate the relative contribution percentage of each risk component in Rc:

[0117] Contribution of calcium intake: PCa = RCa / Rc;

[0118] Contribution of heat stress: PHs = RHs / Rc;

[0119] Eggshell load contribution: PLs = RLs / Rc;

[0120] If the quality deviation coefficient Qd is greater than the preset deviation threshold and the calcium intake coefficient is less than the first preset intake threshold, and at the same time, PCa is the highest among the three contributions and PCa is greater than or equal to 0.4, the quality problem type is determined to be calcium deficiency.

[0121] If the quality deviation coefficient Qd is greater than the preset deviation threshold and the heat stress measurement is greater than the first preset heat stress threshold, and at the same time, PHs is the highest among the three contribution values ​​and PHs is greater than or equal to 0.4, the quality problem is determined to be heat stress induced.

[0122] If the quality deviation coefficient Qd is greater than the preset deviation threshold, the eggshell load measurement is greater than the preset load threshold, the calcium intake coefficient is greater than or equal to the second preset intake threshold, and the heat stress measurement is less than or equal to the second preset heat stress threshold, and at the same time, PLs is the highest among the three contributions, and PLs is greater than or equal to 0.4, the quality problem is determined to be of the high eggshell load type.

[0123] If the quality status is substandard and does not meet any of the above-mentioned judgment conditions, or meets two or more judgment conditions at the same time, it is judged as a composite factor type.

[0124] Specifically, in this embodiment, the preset deviation threshold is 0.03, the first preset intake threshold is 0.9, the first preset heat stress threshold is 0.7, the preset load threshold is 1.15, the second preset intake threshold is 0.95, and the second preset heat stress threshold is 0.5.

[0125] Specifically, this step is the final decision-making output stage of the method. Based on the comprehensive risk index, it automatically diagnoses the dominant cause type leading to substandard eggshell quality by calculating the contribution of each risk component and performing multi-condition logical judgments. This process simulates the expert analysis approach, transforming data into insights that can directly guide action, thus achieving a leap from "discovering the problem" to "locating the problem," greatly improving the pertinence and efficiency of management response, and avoiding blind intervention.

[0126] This embodiment also provides an eggshell quality optimization feed, comprising, by weight percentage, the following components: corn 63.6%, soybean meal 24.0%, limestone powder 10.0%, dicalcium phosphate 1.0%, salt 0.3%, choline chloride 0.1%, methionine 0.2%, lysine 0.1%, vitamin premix 0.05%, trace element premix 0.1%, and carrier 0.55%.

[0127] Specifically, in this embodiment, each kilogram of the vitamin premix may provide, but is not limited to: vitamin A 8,000-12,000 IU, vitamin D3 2,500-3,500 IU, vitamin E 20-30 IU, vitamin K3 2-3 mg, vitamin B1 1-2 mg, vitamin B2 5-8 mg, vitamin B12 0.01-0.02 mg, calcium pantothenate 10-15 mg, niacin 30-40 mg, folic acid 0.5-1.0 mg. Those skilled in the art can make equivalent selections based on commercially available products or known formulations.

[0128] Each kilogram of the aforementioned trace element premix may provide, but is not limited to: 50-80 mg of iron, 5-8 mg of copper, 60-100 mg of manganese, 50-80 mg of zinc, 0.5-1.0 mg of iodine, and 0.1-0.3 mg of selenium. Those skilled in the art can make equivalent selections based on commercially available products or known formulations.

[0129] The carrier is selected from one or more of zeolite powder, silica, rice husk powder, and corn cob powder, preferably zeolite powder;

[0130] Based on the above formula, the total calcium content contributed by the main calcium sources (stone powder, with a calcium content of about 38% as calcium carbonate; and dicalcium phosphate, with a calcium content of about 23%) is calculated to be about 36-38 g / kg. In the method examples, c=37 g / kg is used for calculation.

[0131] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. For those skilled in the art, other variations or modifications can be made based on the above description. It is impossible to exhaustively list all the implementation methods here. All obvious variations or modifications derived from the technical solutions of the present invention are still within the protection scope of the present invention.

Claims

1. A method for evaluating eggshell quality in poultry farming, characterized in that, include: Calculate the actual egg breakage rate within the analysis period, determine the benchmark value of the egg breakage rate, and then evaluate the eggshell quality status. Assess and analyze the total calcium intake level during the analysis period and calculate the calcium intake coefficient; The temperature and humidity index is determined based on the temperature and relative humidity within the analysis period, and then the heat stress measure is determined. Eggshell load was determined based on the average age of the flock and the average egg weight, and a comprehensive risk index was determined by integrating the calcium intake coefficient, heat stress measurement and eggshell load measurement. The types of quality problems are diagnosed based on eggshell quality status, calcium intake coefficient, heat stress measurement, eggshell load measurement, and comprehensive risk index.

2. The method for evaluating eggshell quality in poultry farming according to claim 1, characterized in that, Calculate the actual egg breakage rate BR for the current analysis period, BR=(A1 / AZ)×100%, where A1 is the total number of broken eggs in the current analysis period and AZ is the total number of eggs produced in the current analysis period; Based on the current average age (AD) of the flock, determine the baseline value (Bb) for the egg breakage rate: When AD is less than or equal to the first preset age r1, Bb is determined to be b1; When AD is greater than the first preset age r1 and less than or equal to the second preset age r2, determine Bb = b1 + b0 × (AD - r1); When AD is greater than the second preset age r2, Bb is determined to be b2; Wherein, b1 is the first preset reference value, b2 is the second preset reference value, and b0 is the preset adjustment value.

3. The method for evaluating eggshell quality in poultry farming according to claim 2, characterized in that, The actual breakage rate BR is compared with the breakage rate benchmark value Bb to assess the eggshell quality status: If BR is less than or equal to Bb, then the eggshell quality status of the current analysis cycle is determined to be up to standard. If BR is greater than Bb, the eggshell quality status of the current analysis cycle is determined to be substandard. When the eggshell quality status in the current analysis period is substandard, calculate the quality deviation coefficient Qd, Qd=(BR-Bb) / Bb.

4. The method for evaluating eggshell quality in poultry farming according to claim 3, characterized in that, Based on the calcium content c in the feed optimized for eggshell quality, and combined with the total feed consumption Ft of the flock during the analysis period, the total calcium intake Cai during the analysis period was calculated as Cai = c × Ft. Based on the current egg production rate LR of the flock, determine the target calcium consumption Can, Can = LR × J × u; J is the total number of chickens in the flock, u is the preset correction coefficient; The calcium intake coefficient Cc is calculated based on the target calcium consumption Can, where Cc = Cai / (Can × k), and k is a preset safety factor.

5. The method for evaluating eggshell quality in poultry farming according to claim 4, characterized in that, The average ambient temperature T and average relative humidity RH during the analysis period are calculated respectively, and then the temperature and humidity index THI is calculated as follows: THI = 0.8 × T + (RH × (T - 14.4)) / 100 + 46.

4.

6. The method for evaluating eggshell quality in poultry farming according to claim 5, characterized in that, The temperature and humidity index (THI) within the analysis period is compared with each preset temperature and humidity index threshold to determine the heat stress measure (Hs). When THI is less than or equal to the first preset temperature and humidity index threshold f1, the heat stress metric Hs is determined to be 0. When THI is greater than the first preset temperature and humidity index threshold f1 and less than or equal to the second preset temperature and humidity index threshold f2, the heat stress measure Hs is determined as (THI-f1) / 10. When THI is greater than the second preset temperature and humidity index threshold f2, the heat stress metric Hs is determined as min(2,(1+(THI-80) / 5)).

7. The method for evaluating eggshell quality in poultry farming according to claim 6, characterized in that, The expression for the eggshell load measure Ls is: Ls=(We / wb)×(1+α×max(0,AD-280)); where wb is the preset standard peak egg weight and α is the preset age influence coefficient.

8. The method for evaluating eggshell quality in poultry farming according to claim 7, characterized in that, The comprehensive risk index Rc was determined by combining the calcium intake coefficient Cc, the heat stress measure Hs, and the eggshell load measure Ls. Rc = w1×max(0,1-Cc) + w2×Hs / 2 + w3×max(0,Ls-1). Where w1 is the calcium nutrition weight, w2 is the heat stress weight, w3 is the load weight, and w1+w2+w3=1.

9. The method for evaluating eggshell quality in poultry farming according to claim 8, characterized in that, When the eggshell quality status is determined to be substandard in the current analysis period, the system makes a logical judgment based on the quality deviation coefficient Qd, calcium intake coefficient Cc, heat stress measure Hs, and eggshell load measure Ls, and calculates the relative contribution of each risk component in the comprehensive risk index Rc to diagnose the type of quality problem. Calculate each risk component: Calcium intake risk component: RCa = w1 × max(0, 1-Cc); Heat stress risk component: RHs = w² × Hs / 2; Eggshell load risk component: RLs=w3×max(0,Ls-1); If Rc equals 0, it is determined to be of unknown risk type, and the subsequent type determination logic is skipped; If the overall risk index Rc is greater than 0, then calculate the relative contribution percentage of each risk component in Rc: Calculate the relative contribution percentage of each risk component in Rc: Contribution of calcium intake: PCa = RCa / Rc; Contribution of heat stress: PHs = RHs / Rc; Eggshell load contribution: PLs = RLs / Rc; If the quality deviation coefficient Qd is greater than the preset deviation threshold and the calcium intake coefficient is less than the first preset intake threshold, and at the same time, PCa is the highest among the three contributions and PCa is greater than or equal to 0.4, the quality problem type is determined to be calcium deficiency. If the quality deviation coefficient Qd is greater than the preset deviation threshold and the heat stress measurement is greater than the first preset heat stress threshold, and at the same time, PHs is the highest among the three contribution values ​​and PHs is greater than or equal to 0.4, the quality problem is determined to be heat stress induced. If the quality deviation coefficient Qd is greater than the preset deviation threshold, the eggshell load measurement is greater than the preset load threshold, the calcium intake coefficient is greater than or equal to the second preset intake threshold, and the heat stress measurement is less than or equal to the second preset heat stress threshold, and at the same time, PLs is the highest among the three contributions, and PLs is greater than or equal to 0.4, the quality problem is determined to be of the high eggshell load type. If the quality status is substandard and does not meet any of the above-mentioned judgment conditions, or meets two or more judgment conditions at the same time, it is judged as a composite factor type.

10. An eggshell quality-optimized feed, applied to the eggshell quality evaluation method for poultry farming as described in any one of claims 1-9, characterized in that, include: The feed consists of the following components by weight percentage: corn 63.6%, soybean meal 24.0%, limestone powder 10.0%, dicalcium phosphate 1.0%, salt 0.3%, choline chloride 0.1%, methionine 0.2%, lysine 0.1%, vitamin premix 0.05%, trace element premix 0.1%, and carrier 0.55%.

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