Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Construction and application of prediction model for effective components of alfalfa hay

A technology of alfalfa hay and active ingredients is applied in the directions of measuring devices, analyzing materials, and material analysis by optical means, which can solve the problems of low economic benefit and waste of alfalfa hay resources, and achieves low detection cost, saving of feeding cost, Effects of no-reagent drug consumption

Pending Publication Date: 2019-09-06
河南省饲草饲料站
View PDF1 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method for constructing a prediction model of effective components in alfalfa hay, and further apply it to the evaluation of the content of active components in alfalfa hay, so as to solve the problems of resource waste and low economic benefits of alfalfa hay

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Construction and application of prediction model for effective components of alfalfa hay
  • Construction and application of prediction model for effective components of alfalfa hay
  • Construction and application of prediction model for effective components of alfalfa hay

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Embodiment 1: Utilize the chemical analysis method to analyze the main components of alfalfa hay

[0041] 1. Pretreatment of alfalfa hay samples: put the alfalfa hay into an electric blast drying oven, and dry it in an oven at 105°C until the moisture content is reduced to about 2-10%, then use a high-speed pulverizer to crush the alfalfa hay, and then separate the samples with Sieve and sieve the dried samples, take 40-mesh whole plant silage samples and store them in ziplock bags, and carry out subsequent steps after balancing the moisture for 24 hours.

[0042] 2. Determination of moisture content: put the clean weighing bottle in an oven at 105°C, remove the cap of the weighing bottle and place it on the side of the weighing bottle. After baking for 30 minutes, cover the weighing bottle cap, take out the weighing bottle, put it in a desiccator to cool for 30 minutes, and weigh its mass (m 1 ), accurate to 1mg.

[0043] Weigh 2~5g sample (m 2 ) in the weighing bot...

Embodiment 2

[0095] Example 2: Near-infrared spectrum collection of alfalfa hay

[0096] Put the alfalfa hay sample with a particle size of 40 mesh into a sample cup with a diameter of 9.4cm and a depth of 4.8cm. No gaps. The near-infrared spectrum of the alfalfa hay sample was collected in the wavelength range of 1400nm-2500nm by using the grating continuous spectrum mode of the Spectrastar 1400XL-3 near-infrared spectrometer of Unity Company of the United States. The spectral collection rate is 45 degs / sec, the wavelength accuracy is 1nm, and the sample is scanned repeatedly for 3 times;

[0097] The main components of alfalfa hay are crude protein, water, neutral detergent fiber, acid detergent fiber, and crude ash, all of which have strong absorption in the near-infrared region.

[0098] Such as figure 1 As shown, the main components of alfalfa hay have a strong absorption peak at 1950nm, and the absorption trends of all samples are the same, and they all show the same shape absorpt...

Embodiment 3

[0099] Example 3: Verification test on the correlation between the screening of near-infrared spectroscopy pretreatment methods and the main components of alfalfa hay

[0100]Select 265 representative samples from various places in Henan Province, detect and analyze the content of each active ingredient according to the method described in Example 1, and collect the near-infrared spectra of each sample according to the method in Example 2.

[0101] The Ucal data analysis software of Unity Company in the United States was used to perform derivative processing, detrend correction (Detrend) and standard normal variable transformation (SNV) preprocessing on the diffuse reflectance raw spectra of the obtained alfalfa hay samples.

[0102] The spectrogram after detrend correction (Detrend) and standard normal variable transformation (SNV) preprocessing is as follows figure 2 shown.

[0103] On the basis of a large amount of data accumulation combined with long-term practical exper...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses construction and application of a prediction model for effective components of alfalfa hay. The technical problems of resource waste and low economic benefit are solved. A method comprises the steps: samples are taken to be dried and smashed; content values of crude proteins, water, neutral detergent fibers, acid detergent fibers and crude ash are analyzed and chemically examined; alfalfa hay powder is taken, and all the alfalfa hay powder samples are subjected to near infrared spectrum scanning collecting in a grating continuous spectrum mode of a near infrared spectrometer; and a diffuse reflection original spectrum of obtained data is subjected to derivative processing, standard normal variate transformation and de-trending correction, and the corresponding prediction model is established through a partial least squares method. The content of the effective components of the alfalfa hay is detected through the model; and the quick detecting method of the maincomponents of the alfalfa hay lays a foundation for accurate feeding.

Description

technical field [0001] The invention relates to the technical field of feed detection, in particular to a construction method and application of a prediction model for effective components of alfalfa hay. Background technique [0002] Alfalfa is a globally cultivated herbage with wide adaptability and high quality. Alfalfa hay refers to artificially cultivated leguminous alfalfa, which is a perennial forage alfalfa that is cut at the early flowering stage and dried naturally or artificially. Alfalfa hay has good palatability, a complete range of amino acids and balanced content, and a digestibility of 70% to 80%. It can replace part of the concentrated feed when feeding livestock and poultry, and has extremely high feeding value. [0003] However, the cultivation of alfalfa requires excellent cultivation techniques, and it is suitable for growing in warm and dry places with irrigation conditions. Places with rainfall exceeding 1000mm are not suitable for alfalfa cultivatio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N21/359G01N21/3563
CPCG01N21/3563G01N21/359
Inventor 李鹏飞贺永惠李黎何云王清华朱伟然刘星张国启
Owner 河南省饲草饲料站
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products