Living body evaluation method for weight of lion-head goose overfed fat liver

Abstract

The invention relates to the technical field of poultry breeding and food production, in particular to a lion-head goose overfeeding fat liver weight living body evaluation method. Comprising the following steps: (1) acquiring stearic acid levels of female geese and male geese to obtain quantitative peak area data of stearic acid of the female geese and the male geese; and (2) according to the sex of the lion-head goose, substituting the quantitative peak area data into a formula, and calculating to obtain a female goose liver weight predicted value and a male goose liver weight predicted value. The method disclosed by the invention can be used for non-destructively evaluating the liver development degree and estimating the liver weight after overfeeding. According to the method, a real-time and quantitative key basis is provided for forced feeding regulation and control, an operator can dynamically adjust the forced feeding intensity and the nutrition formula according to individual differences, the problem of excessive forced feeding or insufficient forced feeding caused by a traditional blind feeding mode is effectively avoided, and therefore the animal welfare is guaranteed while the quality uniformity and the superior product rate of the fatty liver are improved.

Description

Technical Field

[0001] This invention relates to the field of poultry farming and food production technology, and in particular to a method for assessing the weight of fat liver in Lionhead geese after force-feeding. Background Technology

[0002] Lionhead goose fatty liver (commonly known as "pink liver") is a specialty high-end ingredient from the Chaoshan region. Its formation relies on intensive nutritional control of Lionhead geese at specific ages. Currently, the region has developed a mature production process, typically involving short-term, high-intensity force-feeding of Lionhead geese around 120 days old for about 1.5 days. This induces significant fat deposition in the liver, ultimately aiming for a liver weight of over 450 grams to meet the standards of high-quality pink liver. This process demands extremely high precision in feeding management and nutritional supply, making it a core element determining the final product's quality and economic benefits.

[0003] However, a key bottleneck exists in existing production technologies: liver weight assessment relies entirely on direct weighing after slaughter. This retrospective measurement method not only increases the costs of slaughter, processing, and subsequent material losses, but also makes it impossible to monitor the liver development of geese in real time and dynamically throughout the force-feeding process. Producers can only rely on experience to regulate group force-feeding, unable to accurately identify individual differences. This may lead to missed opportunities for timely intensive breeding of well-developed individuals, and difficulty in culling geese with poor liver development in advance, resulting in a hidden waste of feed, labor, and time costs.

[0004] Therefore, developing a method for early, efficient, and accurate estimation of Lionhead goose liver weight in a living state has become an urgent technological need for industrial upgrading. This method aims to predict and assess liver weight during force-feeding using quantifiable in vivo indicators or non-destructive testing techniques, thereby enabling individualized and precise control and phased screening of the force-feeding program. This will not only significantly improve the yield and consistency of high-quality fatty liver, but also serve as an important pathway for enterprises to reduce costs and increase efficiency, and to promote the Lionhead goose fatty liver industry towards refinement and intelligence. Summary of the Invention

[0005] The purpose of this invention is to provide a method for assessing the weight of fat liver in Lionhead geese after force-feeding.

[0006] To achieve the above-mentioned objectives, the present invention provides the following technical solution: This invention provides a method for assessing the live weight of Lionhead geese after force-feeding foie gras, comprising the following steps: (1) Obtain the stearic acid levels of female geese and male geese, and obtain quantitative peak area data of stearic acid in female geese and male geese; (2) Based on the sex of the Lionhead Goose, the quantitative peak area data is substituted into the formula to calculate the predicted liver weight of the female goose and the predicted liver weight of the male goose. Predicted liver weight of female goose = 429.583 - stearic acid peak area × 2.134 × 10 -7 R 2 =0.416; Predicted weight of male goose liver = 523.246 - stearic acid peak area × 4.244 × 10 -7 R 2 =0.759.

[0007] Preferably, the stearic acid level in step (1) is the stearic acid level in plasma.

[0008] Preferably, step (1) uses liquid chromatography-mass spectrometry to determine the stearic acid level.

[0009] Preferably, in step (1), the age of the female and male geese is 110-120 days.

[0010] Preferably, the stearic acid levels of female and male geese are obtained before force-feeding on the same day (because the growth rate and metabolic level of male and female geese are different, so they are distinguished by sex).

[0011] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention, by detecting the chromatographic peak area of ​​characteristic fatty acids such as stearic acid in the blood of Lionhead geese, can non-destructively assess the degree of liver development and estimate liver weight after force-feeding. This method provides real-time, quantitative key data for force-feeding regulation, enabling operators to dynamically adjust the force-feeding intensity and nutritional formula according to individual differences. It effectively avoids the problems of over-feeding or under-feeding caused by the traditional "blind force-feeding" method, thereby improving the uniformity and premium rate of fatty liver quality while ensuring animal welfare.

[0012] 2. Lionhead geese are large and have a high metabolic rate, resulting in significantly higher overall production costs for their feeding, force-feeding, slaughter, and liver harvesting compared to smaller breeds. Traditional methods relying on post-slaughter verification inevitably lead to substantial losses from ineffective force-feeding and slaughter. The method of this invention allows for the early identification and culling of individuals with developmental delays and difficulty meeting standards during the later stages of force-feeding. This concentrates limited feed and management resources on individuals with potential, significantly reducing the overall cost per unit product and improving the effective slaughter rate and overall economic benefits.

[0013] 3. This method enables early prediction of fatty liver yield from the same batch of Lionhead geese. Producers can use the liver redistribution data derived from the prediction model to determine the approximate proportions of premium, grade 1, and grade 2 livers in that batch. This crucial information allows companies to precisely optimize subsequent slaughter scheduling, processing capacity allocation, cold chain storage, and market supply plans, achieving data-driven, refined production management. This better matches customer orders with market demand fluctuations, improving the responsiveness and stability of the supply chain. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0015] Figure 1 A comparison chart showing the difference between the measured liver weight and the predicted average liver weight for male and female geese. Detailed Implementation

[0016] The technical solutions provided by the present invention will be described in detail below with reference to the embodiments, but they should not be construed as limiting the scope of protection of the present invention.

[0017] Example 1

[0018] 1. Sample collection: Before force-feeding (approximately 110 days old), male and female Lionhead geese were separated, and blood samples were collected from the wing veins into anticoagulant tubes. After centrifugation, plasma was obtained and stored at -80°C for testing.

[0019] 2. Metabolite Detection: Metabolite analysis of plasma samples was performed using liquid chromatography-mass spectrometry (LC-MS) (parameters set as bw=2, ppm=15, peakwidth=c(5, 30), mzwid=0.015, mzdiff=0.01, method="centWave"). Stearic acid was quantified absolutely or relatively using the internal standard method, and its specific quantitative ion peak area (X) was recorded.

[0020] 3. Liver weight prediction: Substitute the obtained stearic acid peak area (X) into the regression equation for the corresponding sex to calculate the predicted liver weight (y) for each goose (substitute all data into IBM SPSS Statistics 27 for regression analysis and construct the regression equation).

[0021] Based on the sex of the goose, the peak area is substituted into the corresponding linear regression equation to calculate the predicted liver weight (y).

[0022] Regression equation and R for the mother goose group 2 : y = 429.583 - 2.134 × 10 -7 XR 2 It is 0.416 Predicted liver weight of female goose = 429.583 - stearic acid peak area × 2.134 × 10 -7 The regression equation and R of the male goose group 2 : y = 523.246 - 4.244 × 10 -7 XR 2 It is 0.759 Predicted weight of male goose liver = 523.246 - stearic acid peak area × 4.244 × 10 -7 4. The measurement results are shown in Table 1 and Table 2.

[0023] Table 1 shows the predicted liver weight for fatty liver in female geese.

[0024] Table 2 shows the predicted values ​​for fatty liver and liver weight in male geese.

[0025] The 95% confidence interval for female geese was 217.953–483.646; the 95% confidence interval for male geese was 189.484–570.476.

[0026] Depend on Figure 1 It can be seen that the measured liver weight after force-feeding of male and female geese is not significantly different from the liver weight predicted by stearic acid, indicating that the overall prediction effect is good.

[0027] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for assessing the weight of fat liver in live animals fed with force-feeding Lionhead geese, characterized in that, Includes the following steps: (1) Obtain the stearic acid levels of female geese and male geese, and obtain quantitative peak area data of stearic acid in female geese and male geese; (2) Based on the sex of the Lionhead Goose, the quantitative peak area data is substituted into the formula to calculate the predicted liver weight of the female goose and the predicted liver weight of the male goose. Predicted liver weight of female goose = 429.583 - stearic acid peak area × 2.134 × 10 -7 R 2 =0.416; Predicted weight of male goose liver = 523.246 - stearic acid peak area × 4.244 × 10 -7 R 2 =0.

759.

2. The method according to claim 1, characterized in that, The stearic acid level mentioned in step (1) is the stearic acid level in plasma.

3. The method according to claim 1, characterized in that, Step (1) Stearic acid levels were determined using liquid chromatography-mass spectrometry.

4. The method according to claim 1, characterized in that, The age of the female and male geese in step (1) is 110-120 days.

5. The method according to claim 1, characterized in that, Stearic acid levels in female and male geese were obtained after force-feeding on the same day.

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