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Method for predicting feed conversion efficiency of white feather broilers through plasma metabolite abundance modeling

A technology of feed conversion efficiency and feed conversion rate, applied in the field of poultry genetics and breeding, to achieve the effect of saving breeding equipment expenses and reducing breeding costs

Pending Publication Date: 2022-07-12
NORTHEAST AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, whether metabolites can be used as biomarkers for selection of poultry feed conversion efficiency is unknown

Method used

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  • Method for predicting feed conversion efficiency of white feather broilers through plasma metabolite abundance modeling
  • Method for predicting feed conversion efficiency of white feather broilers through plasma metabolite abundance modeling
  • Method for predicting feed conversion efficiency of white feather broilers through plasma metabolite abundance modeling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0011] Plasma metabolite markers for identification of feed conversion efficiency in white-feathered broilers

[0012] 1. Experimental materials

[0013] A total of 441 chickens from the 23rd generation of broiler chickens from Northeast Agricultural University with high and low abdominal fat bidirectional selection were used as the experimental population, including 289 low-fat chickens and 152 high-fat chickens.

[0014] 2. Determination of feed conversion ratio and residual feed intake and detection of plasma metabolome

[0015] Record the feed intake FI of each broiler at the age of 29 to 49 days, record the body weight BW4 at the age of four weeks and the body weight BW7 at the age of seven weeks, and calculate the feed conversion ratio FCR and the remaining feed intake RFI. The calculation formula is:

[0016]

[0017]

[0018] where b 0 , b 1 , b 2 is the partial regression coefficient.

[0019] The 48-day-old broilers were cut off from feed and water at 22:0...

Embodiment 2

[0027] Model for predicting feed conversion efficiency in white-feathered broilers by plasma metabolite abundance

[0028] In this example, a model for predicting feed conversion efficiency of white-feathered broilers was established. Taking the 10 biomarkers of feed conversion efficiency identified in Example 1 as independent variables, and the feed conversion ratio and residual feed intake as dependent variables, the data of 431 broilers were randomly selected from the 441 broilers in Example 1 for Modeling. The best regression model was screened out by stepwise regression, and the significant independent variables in the model were retained (P<0.01), and the best model was obtained as follows:

[0029] Predicted value of feed conversion ratio = 2.525 + 4.905 × 10 -5 X 1 +8.970×10 -5 X 2 +1.740×10 -4 X 3 –3.010×10 -4 X 4

[0030] Predicted residual feed intake = –1.679×10 2 +4.848×10 -2 X 1 +1.006×10 -1 X 2 +1.613×10 -1 X 3 –2.655×10 -1 X 4 +1.002×10 -1 X...

Embodiment 3

[0033] Application and effect of prediction model in embodiment 2

[0034]A model for predicting the feed conversion efficiency of white-feathered broilers based on the abundance of plasma metabolites is obtained through Example 2. In this example, the feed conversion efficiency of the remaining 10 chickens in the data of Example 2 is to be identified. The results obtained are as follows: using the feed conversion ratio to identify individuals with high feed conversion efficiency, the ranking is 190>154>251>431>224>441>422>78>43>50, and the real ranking is 190>251>154>224>441>43 >431>422>78>50, the accuracy is 0.85; the ranking of individuals with high feed conversion efficiency using residual feed intake is 381>359>281>353>349>169>216>253>29>27, the real ranking is 381>349>216>359>281>169>353>253>29>27 with an accuracy of 0.75. Therefore, the present invention can better distinguish broilers with high feed conversion efficiency and broilers with low feed conversion efficienc...

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Abstract

The invention discloses a method for predicting the feed conversion efficiency of white feather broilers through plasma metabolite abundance modeling, which is used for identifying broilers with high feed conversion efficiency, and finds a metabolic marker suitable for serving as the feed conversion efficiency of the broilers through plasma metabonomics analysis. And further predicting the feed conversion efficiency by using a multiple regression analysis method so as to identify the broiler chicken with high feed conversion efficiency. According to the method, broilers with high feed conversion efficiency and broilers with low feed conversion efficiency can be efficiently distinguished, the expenditure of breeding equipment is saved, the genetic improvement work of poultry is promoted, and the breeding cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of poultry genetics and breeding, and in particular relates to a method for predicting the feed conversion efficiency of white-feather broilers through plasma metabolite abundance modeling. Background technique [0002] In livestock and poultry production, raising livestock and poultry with high feed conversion efficiency is conducive to reducing grain consumption and saving production costs. Using automatic feed intake recording equipment to measure individual feed conversion efficiency and directly selecting excellent individuals is the most effective way to improve animal feed conversion efficiency. However, the high price of automatic feed intake recording equipment makes it unaffordable for most farms. Therefore, we need an inexpensive and rapid method for predicting feed conversion efficiency in white-feathered broilers to reduce breeding costs. Emerging evidence suggests that metabolites can be used...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02A01K67/02
CPCG06Q10/04G06Q10/06393G06Q50/02A01K67/02Y02A40/70
Inventor 李辉冷丽宿志勇白雪刘帅
Owner NORTHEAST AGRICULTURAL UNIVERSITY
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