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Rumen volatile fatty acid prediction method, system, equipment and medium

A technology of volatile fatty acids and prediction methods, which is applied in health index calculation, medical informatics, informatics, etc., can solve the problems of lagging adjustment of feeding management measures, high test intensity, and high input of manpower and material resources, so as to avoid the risk of invalid tests, The effect of improving research efficiency

Pending Publication Date: 2021-02-26
NORTHWEST A & F UNIV
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AI Technical Summary

Problems solved by technology

Appropriate VFA is beneficial to the development of rumen epithelial cells, but excessive VFA accumulation in the rumen can easily cause a decrease in rumen pH and cause rumen acidosis
[0006] In ruminant nutrition research, there are problems such as high manpower and material resources input, high test intensity, large individual differences, and lagging adjustment of feeding management measures. The inventors found that there is currently no technology that can directly predict rumen fermentation parameters. The technology of predicting rumen fermentation parameters based on animal information can not only optimize the diet structure, reduce the feed cost, but also evaluate the nutritional status of animals, maintain animal health, and formulate and implement management measures in a timely manner

Method used

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  • Rumen volatile fatty acid prediction method, system, equipment and medium
  • Rumen volatile fatty acid prediction method, system, equipment and medium
  • Rumen volatile fatty acid prediction method, system, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Literature search and data screening

[0056] The literature search used databases such as CNKI to screen relevant literature data in the past 10 years. The acceptance criteria are: the test animals are dairy cows, beef cattle, sheep and goats; the diet composition and nutritional components (additives, RDS, peNDF, etc.) are reported in the literature; the test indicators are rumen fermentation parameters (pH, TVFA content, acid ratio). The RDS in the diet is subject to the value reported in the literature. If the data is not reported in the article, the CPM-Dairy software is used to estimate these parameters. A total of 78 sets of valid data from 55 articles were obtained.

Embodiment 2

[0058] Stepwise regression analysis modeling

[0059] Using stepwise regression analysis to carry out stepwise regression calculation on the 9 indicators of diet formula and animal information and the corresponding 10 rumen fermentation parameter indicators, the equations and determination coefficients related to the 10 rumen fermentation parameter indicators were obtained respectively (Table 1), where R 2 max =0.50, does not meet the modeling requirements.

[0060] Table 1 Independent variable coefficients and determination coefficients of stepwise regression model

[0061]

Embodiment 3

[0063] Partial Least Squares Regression Analysis Modeling

[0064] Partial least squares regression analysis was used to perform regression calculations on the 9 indicators of diet formula and animal information and the corresponding 10 rumen fermentation parameter indicators, and the equations and determination coefficients related to the 10 rumen fermentation parameter indicators were respectively obtained (Table 2) , where R 2 max =0.54, does not meet the modeling requirements.

[0065] Table 2 Partial least squares regression model independent variable coefficient and determination coefficient

[0066]

[0067]

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Abstract

The invention provides a rumen volatile fatty acid prediction method, system and equipment and a medium, and belongs to the technical field of nutrition regulation and prediction. By analyzing existing data, a rumen volatile fatty acid prediction model is constructed, and then rumen fermentation is predicted according to daily ration information and animal information. The optimal prediction modelis obtained through screening, the ruminant nutrition law is effectively disclosed, and the ruminant nutrition test result is predicted. The method and system play a pre-test role to a certain extent, effectively avoid invalid test risks before the test is carried out, also can provide reference in the test period to timely adjust feeding management, and improve the research efficiency, so that the method and system have a good practical application value.

Description

technical field [0001] The invention belongs to the technical field of nutrition regulation and prediction, and in particular relates to a method, system, equipment and medium for predicting rumen volatile fatty acids. Background technique [0002] The information disclosed in this background section is only intended to increase the understanding of the general background of the present invention, and is not necessarily taken as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. [0003] When the feed enters the rumen, carbohydrates such as cellulose, hemicellulose, and starch in the feed are fermented and digested by bacteria and decomposed into glucose, which is continuously degraded by microorganisms and finally degraded into volatile fatty acids (VFA). The VFAs produced in the rumen are mainly acetate, propionate and butyrate. They are rapidly converted to acetate, propionate and butyrate...

Claims

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Application Information

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IPC IPC(8): G16H20/60G16H50/30
CPCG16H20/60G16H50/30
Inventor 雷新建姚军虎曹阳春靳纯嘏王佩悦武圣儒张俊
Owner NORTHWEST A & F UNIV
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