Construction method of livestock ingestion composition correction model based on macro bar code

A technology for constructing methods and calibrating models, which is applied in the field of molecular biology, can solve problems such as deviations in measurement results, and achieve the effect of improving accuracy

Pending Publication Date: 2021-04-02
CHINA AGRI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Due to complex factors such as the species consumed by herbivores and differences in their digestibility, it is inevitable that there will be deviations in the measurement results

Method used

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  • Construction method of livestock ingestion composition correction model based on macro bar code
  • Construction method of livestock ingestion composition correction model based on macro bar code
  • Construction method of livestock ingestion composition correction model based on macro bar code

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] Embodiment 1 is to the mensuration of pasture component in simulated ration

[0035] After the collected 9 kinds of pastures were fully ground with liquid nitrogen, they were fully mixed according to the set ratio (dry matter ratio) and used as a simulated diet. The ratio is shown in Table 1 below. Including 10 treatments, each treatment repeated 4 times, a total of 40 forage mixture samples. About 0.5g of each mixed forage sample was loaded into a centrifuge tube and stored in a liquid nitrogen tank.

[0036] Table 1 Composition of simulated diet

[0037]

[0038] The simulated diet samples were ground and mixed with liquid nitrogen, and the total DNA of the samples was extracted with a plant genomic DNA extraction kit (DNAsecurePlant Kit). Using the above DNA as a template, use primers rD5-ITS2 and rb1-ITS2f (Table 2) reported in the literature to PCR amplify the plant ITS2 sequence, and add an 8bp tag sequence to each sample for distinguishing sequencing analysi...

Embodiment 2

[0048] Example 2 Regression Model Construction and Accuracy Inspection of Simulated Dietary Components

[0049] Linear regression analysis was used to determine the quantitative relationship between the relative proportions of sequenced DNA sequences and the forage proportion in the simulated diet, and the resulting regression equation was used to correct direct estimates.

[0050] Regression correction was performed on the direct estimation results of feeding components obtained from high-throughput sequencing, and the accuracy of the estimated and corrected results was evaluated by the Kulczyński similarity coefficient (KSI, %). Its calculation formula is as follows:

[0051]

[0052] Among them, c i is the smaller value between the real value and the estimated value of the ith forage in the simulated diet; (a i +b i ) is the sum of the ratios of true and estimated values ​​for each forage component.

[0053] The sequence number of each OTU was obtained after Illumina...

Embodiment 3

[0059] Example 3 Estimation and Correction of Diet Components for Housed Sheep

[0060] Using the method of ITS2 barcode sequencing in the present invention, the feed intake components of sheep were estimated. The accuracy of the method was also tested using KSI ( Image 6 ). The results of variance analysis showed that dietary treatment, regression equation correction method and the interaction between them had a very significant effect on KSI (P<0.001). After correction by the two regression equations, KSI increased significantly (P<0.001). Comparing the three estimated results, it can be found that the KSI is the highest (88.41%) after the second correction equation (CE-2), followed by the second correction equation CE-1 (70.24%), without The corrected KSI value was the lowest (57.97%).

[0061] From the perspective of dietary components, the similarity between the estimated value and the real value was low (46.98%-67.99%), and the similarity between the estimated value...

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Abstract

The invention provides a construction method of a livestock ingestion composition correction model based on a macro bar code, which is characterized by comprising the following steps: (1) selecting different forage grasses to prepare a simulated ration as a correction sample, extracting DNA, carrying out ITS2 bar code PCR amplification, and carrying out amplicon Illumina MiSeq double-end sequencing to obtain original sequencing data; (2) carrying out filtering and quality control processing on the original sequencing data, and performing OTU clustering on effective sequences; (3) comparing theOTU representative sequence with an NCBI database Blastn to complete species annotation; (4) measuring the forage grass gene sequence of the sample by using a macro bar code technology to obtain a relative proportion measured value of the forage grass DNA sequence, and analyzing to obtain the components of the simulated ration; and (5) correlating the measured value of each component of the simulated ration and the true value of the dry matter proportion of each component by using a linear regression method, and establishing a correction model of the ration composition.

Description

technical field [0001] The present invention belongs to the fields of molecular biology and animal husbandry. Specifically, the application provides a method for constructing a correction model of livestock feeding composition based on macro-barcodes Background technique [0002] The performance and nutritional status of grazing livestock is closely related to pasture intake. Under grazing conditions, it is extremely important to accurately grasp the feed composition and feed intake of livestock, which can provide effective data support and theory for clarifying the nutritional status of livestock and predicting livestock production performance, and then for making grassland management decisions and optimizing forage resource allocation. guide. Forage resources on natural grasslands are rich and varied, and the types of plants ingested by herbivorous livestock are very diverse, and there is a certain preference for specific forage species, and there are still many difficult...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B30/10G06Q50/02G06F17/18
CPCG06F17/18G06Q50/02G16B30/10
Inventor 张英俊郭艳萍罗海玲张浩陈文青
Owner CHINA AGRI UNIV
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