Sorghum type identification method and model

Abstract

The invention mainly relates to the technical field of wine brewing raw material identification. In order to accurately judge the type of sorghum, the invention provides a sorghum type identification method and model, which comprises the following steps: respectively collecting conventional glutinous sorghum, hybrid glutinous sorghum, conventional non-glutinous sorghum and hybrid non-glutinous sorghum samples, and measuring the proportion of amylopectin in total starch and the thousand seed weight in each type of sorghum sample; establishing a sorghum type identification model according to the proportion of the amylopectin content of each sorghum sample in the total starch and the thousand seed weight; the sorghum type identification model automatically judges the type of the sorghum sample to be detected according to the proportion of amylopectin of the sorghum sample to be detected in total starch and the thousand seed weight, so that the quality stability of sorghum used in the brewing industry of wine enterprises and the like can be effectively guaranteed, the raw material purchasing cost and the detection cost are reduced, and the product quality of white wine is further improved.

Description

Technical Field

[0001] The invention mainly relates to the technical field of wine-making raw material identification, and in particular to a sorghum type identification method and model. Background Art

[0002] Sorghum is an important raw material for brewing liquor. Depending on whether it is a hybrid variety, sorghum can be divided into conventional sorghum and hybrid sorghum. Depending on the ratio of amylose to amylopectin, sorghum can be divided into japonica sorghum and glutinous sorghum. Depending on whether it is a hybrid variety and the ratio of amylose to amylopectin, it can be further subdivided into conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum.

[0003] At present, the determination of sorghum type mainly relies on chemical methods, and it can only determine whether it is glutinous sorghum or japonica sorghum, but it is impossible to further determine whether it belongs to conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum. Taking conventional glutinous sorghum as an example, conventional glutinous sorghum is a high-end raw material for brewing strong-flavor and sauce-flavor liquor. Hybrid sorghum with high per-acre yield is mostly planted in northern China, while conventional glutinous sorghum is rich in southwest China due to its mild climate, sufficient heat, abundant rainfall and suitable light. Southwest China is a hilly area with a small planting area and great difficulty in mechanization. Conventional glutinous sorghum has a low per-acre yield, and the output is far from meeting the production needs of major wine companies. Therefore, the market price of conventional glutinous sorghum is expensive. Driven by economic interests, hybrid sorghum with high per-acre yield and relatively low price is often adulterated and impersonated as conventional glutinous sorghum. Therefore, it is urgent to develop a sorghum type identification method for wine companies to ensure the stability of sorghum quality and the quality of winemaking. Summary of the invention

[0004] Technical Problems to be Solved by the Invention

[0005] A sorghum type identification method and model are provided to accurately determine the sorghum type.

[0006] The technical solution adopted by the present invention to solve the above technical problems

[0007] A method for identifying sorghum types, comprising:

[0008] The samples of conventional waxy sorghum, hybrid waxy sorghum, conventional japonica sorghum and hybrid japonica sorghum were collected respectively, and the proportion of amylopectin in total starch and the thousand-grain weight of each type of sorghum sample were determined;

[0009] A sorghum type identification model was established based on the ratio of amylopectin content to total starch and thousand-grain weight of each sorghum sample;

[0010] The sorghum type identification model automatically determines the type of the sorghum sample to be tested based on the proportion of amylopectin to total starch and the thousand-grain weight of the sorghum sample to be tested.

[0011] Furthermore, the establishment of a sorghum type identification model based on the ratio of amylopectin content to total starch and the thousand-grain weight of each sorghum sample specifically includes:

[0012] In Excel, the sorghum sample thousand-grain weight was used as the horizontal axis, and the proportion of amylopectin in the total starch was used as the vertical axis to establish the coordinate axis and draw a scatter plot;

[0013] In the scatter plot, the discrimination regions of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum were delineated according to the measured proportion of amylopectin in total starch and the thousand-grain weight of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum.

[0014] Furthermore, the sorghum type identification model automatically determines the type of the sorghum sample to be tested according to the ratio of amylopectin to total starch and the thousand-grain weight of the sorghum sample to be tested, specifically comprising: inputting the ratio of amylopectin to total starch and the thousand-grain weight of the sorghum sample to be tested into Excel, and Excel automatically outputs the type of the sorghum sample to be tested according to the discrimination area to which the positions of the points composed of the ratio of amylopectin to total starch and the thousand-grain weight of the sorghum sample to be tested belong in the scatter plot.

[0015] Furthermore, the method also includes: collecting samples of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum from multiple regions, determining the range of the ratio of amylopectin to total starch and the range of thousand-grain weight corresponding to each type of sorghum according to the ratio of amylopectin to total starch and the thousand-grain weight of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum in different regions, and delineating the discrimination regions of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum.

[0016] Furthermore, the proportion of amylopectin in the conventional glutinous sorghum to total starch is greater than or equal to 90%, and the thousand-grain weight is less than or equal to 21 g.

[0017] Based on the above-mentioned sorghum type identification method, the present invention also provides a sorghum type identification model, wherein the sorghum category identification model determines the type of the sorghum sample to be tested according to the ratio of amylopectin to total starch and the thousand-grain weight of the sorghum sample to be tested.

[0018] Furthermore, the conventional glutinous sorghum identification model uses the thousand-grain weight of the sorghum sample as the horizontal coordinate and the proportion of amylopectin to total starch as the vertical coordinate, and the thousand-grain weight value ranges of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum and the value ranges of the proportion of amylopectin to total starch of conventional glutinous sorghum are used as the judgment areas of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum, respectively.

[0019] Beneficial effects of the present invention

[0020] The sorghum type identification method and model described in the present invention use the proportion of amylopectin to total starch and the thousand-grain weight of sorghum as judgment parameters, and can effectively judge whether the sorghum belongs to conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum, thereby effectively ensuring the quality stability of sorghum used by wine companies in the brewing industry, reducing raw material procurement costs and testing costs, and improving the product quality of liquor. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is the sorghum type identification model described in the examples. DETAILED DESCRIPTION

[0022] A method for identifying sorghum types comprises the following steps:

[0023] The samples of conventional waxy sorghum, hybrid waxy sorghum, conventional japonica sorghum and hybrid japonica sorghum were collected respectively, and the proportion of amylopectin in total starch and the thousand-grain weight of each type of sorghum sample were determined;

[0024] The sorghum type identification model was established based on the ratio of amylopectin content to total starch and thousand-grain weight of the sorghum samples.

[0025] Preferably, a specific method for establishing a sorghum type identification model is as follows: in Excel, a coordinate axis is established with the thousand-grain weight of the sorghum sample as the horizontal axis and the proportion of amylopectin in the total starch as the vertical axis, and a scatter plot is drawn; in the scatter plot, the discrimination areas of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum are drawn according to the proportion of amylopectin in the total starch and the thousand-grain weight of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum.

[0026] As a further optimization, taking into account the influence of factors such as soil and climate in different regions on the same type of sorghum, samples of the same type of sorghum from different regions were collected, and the discrimination areas of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum were determined according to the range of the proportion of amylopectin to total starch and the range of thousand-grain weight of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum in different regions.

[0027] The proportion of amylopectin in the total starch and the thousand-grain weight of the sorghum sample to be tested are measured respectively, and the proportion of amylopectin in the total starch and the thousand-grain weight of the sorghum sample to be tested are input into Excel. Excel automatically outputs the type of the sorghum sample to be tested according to the discrimination area described by the positions of the points composed of the proportion of amylopectin in the total starch and the thousand-grain weight of the sorghum sample to be tested in the scatter plot.

[0028] Example

[0029] A total of 550 sorghum samples of known types grown in major sorghum producing areas across the country were collected, including: Liaoning Province: 83 hybrid japonica sorghums, 5 hybrid glutinous sorghums, and 5 conventional glutinous sorghums; Jilin Province: 87 hybrid japonica sorghums; Heilongjiang Province: 34 hybrid japonica sorghums, 4 hybrid glutinous sorghums, and 3 conventional glutinous sorghums; Inner Mongolia Autonomous Region: 43 hybrid japonica sorghums, 3 hybrid glutinous sorghums, and 5 conventional glutinous sorghums; Shanxi Province: 23 hybrid japonica sorghums and 2 conventional glutinous sorghums; Shandong Province: 1 hybrid glutinous sorghum, 11 hybrid japonica sorghums, and 1 conventional glutinous sorghum; Sichuan Province: 7 hybrid japonica sorghums, 2 hybrid glutinous sorghums, 190 conventional glutinous sorghums, and 16 conventional japonica sorghums; Guizhou Province: 26 conventional glutinous sorghums and 3 conventional japonica sorghums.

[0030] The proportion of amylopectin to total starch and the thousand-grain weight of the above-mentioned sorghum samples were respectively determined; the proportion of amylopectin to total starch was determined according to T / QAS 076-2022 "Dual-wavelength spectrophotometric method for determination of the contents of amylose and amylopectin in highland barley", and the thousand-grain weight was determined according to GB / T 5519-2018 "Determination of Thousand-Grain Weight of Cereals and Legumes".

[0031] In Excel, the coordinate axis was established with the thousand-grain weight of the sorghum sample as the horizontal axis and the ratio of amylopectin to total starch as the vertical axis to draw a scatter plot; according to the ratio of amylopectin to total starch of the sorghum sample and the numerical range of the thousand-grain weight measurement results, the discrimination areas of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum were drawn in the established scatter plot, and the following was established: Figure 1 The sorghum type identification model shown. After multiple measurements, the identification area of ​​conventional glutinous sorghum mainly used in liquor brewing is the area where the proportion of amylopectin in the total starch is greater than or equal to 90% and the thousand-grain weight is less than or equal to 21g.

[0032] In this embodiment, the sorghum samples to be tested include 1# sorghum sample and 2# sorghum sample. The proportion of amylopectin in the total starch of 1# sorghum sample and 2# sorghum sample is measured according to T / QAS 076-2022 "Dual-wavelength spectrophotometric method for determination of the content of amylose and amylopectin in highland barley", and the thousand-grain weight of 1# sorghum sample and 2# sorghum sample is measured according to GB / T 5519-2018 "Determination of the thousand-grain weight of cereals and legumes". The measurement results are as follows: the thousand-grain weight of 1# sorghum sample is 18.3g, and the proportion of amylopectin in the total starch is 98%; the thousand-grain weight of 2# sorghum sample is 26.5g, and the proportion of amylopectin in the total starch is 97%. The proportion of amylopectin in the total starch and the thousand-grain weight of the two sorghums are respectively input into the sorghum type identification model, such as Figure 1 As shown, the point trace of 1# sorghum sample falls in the conventional glutinous sorghum discrimination area, so 1# sorghum sample is judged to be conventional glutinous sorghum; the point trace of 2# sorghum sample falls outside the conventional glutinous sorghum discrimination area, so 2# sorghum sample is judged not to be conventional glutinous sorghum.

Claims

1. A method for identifying sorghum types, characterized in that: include: The samples of conventional waxy sorghum, hybrid waxy sorghum, conventional japonica sorghum and hybrid japonica sorghum were collected respectively, and the proportion of amylopectin in total starch and the thousand-grain weight of each type of sorghum sample were determined; A sorghum type identification model was established based on the ratio of amylopectin content to total starch and thousand-grain weight of each sorghum sample. The sorghum type identification model automatically determines the type of the sorghum sample to be tested based on the proportion of amylopectin to total starch and the thousand-grain weight of the sorghum sample to be tested.

2. A method for identifying sorghum types according to claim 1, characterized in that: The method of establishing a sorghum type identification model based on the ratio of amylopectin content to total starch and the thousand-grain weight of each sorghum sample specifically includes: In Excel, the thousand-grain weight of the sorghum sample was used as the horizontal axis, and the proportion of amylopectin in the total starch was used as the vertical axis. The coordinate axes were established and a scatter plot was drawn. In the scatter plot, the discrimination regions of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum were delineated according to the measured proportion of amylopectin in total starch and the thousand-grain weight of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum.

3. A method for identifying sorghum types according to claim 2, characterized in that: The sorghum type identification model automatically determines the type of the sorghum sample to be tested according to the ratio of amylopectin to total starch and the thousand-grain weight of the sorghum sample to be tested. Specifically, the ratio of amylopectin to total starch and the thousand-grain weight of the sorghum sample to be tested are input into Excel, and Excel automatically outputs the type of the sorghum sample to be tested according to the discrimination area to which the positions of the points composed of the ratio of amylopectin to total starch and the thousand-grain weight of the sorghum sample to be tested belong in the scatter plot.

4. A method for identifying sorghum types according to claim 2 or 3, characterized in that: The method also includes: collecting samples of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum from multiple regions, and determining the range of the proportion of amylopectin to total starch and the range of thousand-grain weight corresponding to each type of sorghum according to the proportion of amylopectin to total starch and the thousand-grain weight of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum in different regions, thereby delineating the discrimination regions of conventional glutinous sorghum, hybrid glutinous sorghum, conventional japonica sorghum and hybrid japonica sorghum.

5. A method for identifying sorghum types according to any one of claims 1 to 4, characterized in that: The proportion of amylopectin in the conventional waxy sorghum to total starch is greater than or equal to 90%, and the thousand-grain weight is less than or equal to 21 g.

6. A sorghum type identification model, characterized in that: Used to implement a sorghum type identification method as described in any one of claims 1-5.

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