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Method for predicting growth traits of offspring based on rumen flora structure of female parent ruminant

A technology for ruminant and growth traits, which is applied in the field of predicting the growth traits of offspring based on the structure of the ruminant flora of the parent ruminant, can solve the problems of collecting rumen fluid to measure rumen microorganisms, etc., and achieve the effect of accurate prediction and avoidance of damage

Pending Publication Date: 2021-11-12
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the esophagus of young animals is fragile, and it is difficult to determine the rumen microorganisms by the conventional method of oral rumen fluid collection

Method used

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  • Method for predicting growth traits of offspring based on rumen flora structure of female parent ruminant
  • Method for predicting growth traits of offspring based on rumen flora structure of female parent ruminant
  • Method for predicting growth traits of offspring based on rumen flora structure of female parent ruminant

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Embodiment 1

[0037] A method for bacterial growth traits structure prediction based parent progeny rumen of ruminants, the method comprising the steps of:

[0038] Step 1, data collection offspring ruminant animal growth traits, and collecting the parent sample of rumen fluid of ruminants;

[0039] Step 2, female ruminant rumen microorganisms extracting the DNA, 16S rDNA and high-throughput sequencing rumen fluid of ruminants from a parent sample;

[0040] Step 3, the results of high-throughput sequencing analysis of the 16S rDNA;

[0041] Step 4 Construction machine learning models based on the analysis data of offspring of ruminants and growth traits of the parent sample of rumen juice of ruminants, using the predicted growth traits on progeny machine learning models.

[0042] By the above aspect, the parent test analysis microflora in ruminants by 16S rDNA, direct sampling of young ruminants constructed based machine learning model, efficient, accurate prediction of growth traits of offspri...

Embodiment 2

[0044] A method for bacterial growth traits structure prediction based parent progeny rumen of ruminants, the method comprising the steps of:

[0045] Step 1, data collection offspring ruminant animal growth traits, and collecting the parent sample of rumen fluid of ruminants;

[0046] Step 2, female ruminant rumen microorganisms extracting the DNA, 16S rDNA and high-throughput sequencing rumen fluid of ruminants from a parent sample;

[0047] Step 3, the results of high-throughput sequencing analysis of the 16S rDNA;

[0048] Step 4 Construction machine learning models based on the analysis data of offspring of ruminants and growth traits of the parent sample of rumen juice of ruminants, using the predicted growth traits on progeny machine learning models.

[0049] In Step 1, data progeny ruminant growth traits include progeny ruminants birth weight and weaning weight.

[0050] Method step 2, extracting the parent rumen microbial DNA is CTAB method; 16S rDNA fragments of high-thr...

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Abstract

The invention provides a method for predicting growth traits of offspring based on a rumen flora structure of a female parent ruminant. The method comprises the following steps: step 1, collecting growth trait data of the offspring ruminant, and collecting rumen fluid samples of the female parent ruminant; step 2, extracting rumen microorganism DNA of the female parent ruminant from a rumen fluid sample of the female parent ruminant, and performing 16S rDNA high-throughput sequencing; step 3, analyzing a result of 16S rDNA high-throughput sequencing; and step 4, constructing a machine learning model according to the growth trait data of the offspring ruminant and the analysis result of the rumen fluid sample of the female ruminant, and predicting the growth traits of the offspring by using the machine learning model. According to the method, the flora structure of the rumen of the to-be-detected female parent ruminant animal is analyzed through 16S rDNA, the growth traits of the offspring ruminant animal are efficiently and accurately predicted based on construction of a machine learning model, and damage to the young ruminant animal caused by direct sampling is avoided.

Description

Technical field [0001] The present invention relates to a method of predicting growth traits of offspring of animals, particularly to a method based on the parent structure prediction rumen microflora growth traits progeny. Background technique [0002] Ruminants is an important livestock (cattle, sheep, etc.), provides a large number of meat, milk, leather, wool and other agricultural products important to human. Ruminant diets can take advantage of other mammals it is difficult to digest plant fiber, mainly due to its unique digestive organs - the rumen. There is a complicated rumen microbial communities play a digestive aid rumen physiological functions, is a major ruminant digestive organs. Rumen microorganisms secrete more digestive enzymes in the food acting cellulose, hemicellulose and pectin polysaccharides, volatile fatty acids provide 60-70% of the generated energy source for the ruminant animal host. Numerous studies show that rumen microbes and ruminant feed digestibi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B5/00G16B30/00G16B40/00
CPCG16B5/00G16B30/00G16B40/00
Inventor 王佳堃金舒文何波覃怡琅张功海陈宏伟
Owner ZHEJIANG UNIV