Method for predicting fresh weight yield of garlic

By measuring the leaf length, bulb height, transverse diameter and back width of garlic, and using regression analysis to calculate the garlic fresh weight yield, the accuracy of the prediction of garlic fresh weight yield in the existing technology is solved, and high-precision yield prediction and profit are achieved Estimate.

CN119227015APending Publication Date: 2024-12-31INST OF IND CROPS HENAN ACAD OF AGRI SCI
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Patent Information

Application Number
CN202411348937.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-26
Publication Date
2024-12-31

AI Technical Summary

Technical Problem

The prior art is difficult to accurately predict the fresh garlic yield, which makes it difficult for growers to expect returns and lacks effective measurement methods, especially in regional experiments of new varieties.

Method used

By measuring the leaf length, bulb height, bulb transverse diameter and scaly bud dorsal width of the garlic plant, the fresh weight of a single-headed bulb is calculated using the one-element linear regression equation, and the fresh weight yield is calculated based on the plant spacing and row spacing.

Benefits of technology

The accurate prediction of the fresh garlic yield was achieved, with the correlation coefficient R2=0.9472, and the prediction accuracy could reach 95%. It is simple to operate, reduces the difficulty of understanding, and shows high accuracy in field and regional experiments.

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Abstract

The invention provides a method for predicting fresh weight yield of garlic, and belongs to the technical field of agricultural prediction. According to the method, on the basis that seven above-ground agronomic character indexes and six underground bulb indexes of 151 parts of garlic resources (including varieties) are measured in the early stage, the single-head bulb weight is taken as a dependent variable, drift diameter analysis is carried out through stepwise regression, a unary linear regression equation for calculating the single-head bulb weight is obtained, the correlation coefficient R2 is equal to 0.9472, the prediction accuracy can reach 95%, and the method is suitable for large-scale popularization and application. According to the method, the fresh weight yield of the garlic in field production and regional tests can be accurately predicted, the method for predicting the fresh weight yield of the garlic is easy to operate, measurement of all indexes can be completed only through a small measuring tool, in addition, the method for predicting the fresh weight yield of the garlic is easy to learn and master, and the cost is low. The method is based on regression analysis in statistics, the principle is simple and easy to understand, and the understanding difficulty is greatly reduced.
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Description

Technical Field

[0001] The invention belongs to the technical field of agricultural prediction, and in particular relates to a method for predicting the fresh weight yield of garlic. Background Art

[0002] Garlic is an important economic crop and one of the indispensable condiments in people's daily life. However, for a long time, the mechanization degree of garlic production process has been low, and manual planting and harvesting are still the most important methods. In the harvesting stage of garlic, the garlic heads need to be dug out manually, and then dried for 2-3 days, and the pseudostems on the ground are cut off manually, and the garlic heads are sieved on the sieve bed to remove dust and damaged garlic heads, and then packed and transported. In addition, the mixed dust and the inconsistent height of the remaining pseudostems make it difficult to accurately calculate the fresh weight yield of garlic in the field, which makes it difficult for growers to make psychological expectations for the fresh weight yield and planting income of the year. In addition, for small sample experiments in scientific research such as regional trials of new garlic varieties, in addition to using measuring tools for measurement, there is currently no method that can accurately predict the fresh weight yield of garlic. Summary of the invention

[0003] In view of this, the object of the present invention is to provide a method for predicting the fresh weight yield of garlic, which can more accurately predict the fresh weight yield of green onion by only measuring the length of aboveground leaves, bulb height, bulb transverse diameter and bulb bud back width.

[0004] In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:

[0005] The present invention provides a method for predicting the fresh weight yield of garlic, comprising the following steps:

[0006] 1) Measure the aboveground leaf length of garlic plants, expressed as LL, in cm;

[0007] 2) Determine the height of garlic bulb, transverse diameter of bulb and dorsal width of bulb bud, which are expressed as BH, BD and CW respectively, all in mm;

[0008] 3) Calculate the fresh weight of a single garlic bulb based on the measured LL, BH, BD and CW:

[0009] BFW = 1.199BH - 0.136LL + 1.437BD + 0.464CW - 62.127, the unit of BFW is g;

[0010] 4) Calculating the fresh weight yield of garlic according to the BFW obtained in step 3);

[0011] FWY=BFW×667÷(RS×RP)÷1000, the unit of FWY is kg;

[0012] RS is the plant spacing, in m, and RP is the row spacing, in m.

[0013] Preferably, the method for determining the aboveground leaf length of garlic plants in step 1) is:

[0014] Measure the aboveground leaf length of garlic 10 to 30 days before harvest. The leaf length is the length of the second or third complete leaf from the top of the garlic plant.

[0015] Preferably, the bulbil back width is the maximum width of the outer arc surface of the bulbil in a single garlic plant;

[0016] Preferably, the garlic comprises autumn-sown garlic.

[0017] Preferably, the determination in step 1) and step 2) is carried out on a sunny day.

[0018] Preferably, the number of repetitions of the determinations of step 1) and step 2) is ≧6.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] The invention provides a method for predicting the fresh weight yield of garlic. The method is based on 7 above-ground agronomic traits and 6 underground bulb traits of 151 garlic resources (including varieties), taking the weight of a single bulb as the dependent variable, and performing path analysis through stepwise regression to obtain a univariate linear regression equation for calculating the weight of a single bulb. The correlation coefficient R 2 =0.9472, the prediction accuracy can reach 95%. The method can more accurately predict the fresh weight yield of garlic in field production and regional trials. The method for predicting the fresh weight yield of garlic of the present invention is simple to operate, and only a small measuring tool is needed to complete the measurement of all indicators. In addition, the method for predicting the fresh weight yield of garlic of the present invention is easy to learn and master. The method of the present invention is based on regression analysis in statistics, the principle is simple and easy to understand, and the difficulty of understanding is greatly reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is the regression curve of the measured and predicted values ​​of single bulb weight for 151 garlic resources. DETAILED DESCRIPTION

[0022] The present invention provides a method for predicting the fresh weight yield of garlic, comprising the following steps:

[0023] 1) Measure the aboveground leaf length of garlic plants, expressed as LL, in cm;

[0024] 2) Determine the height of garlic bulb, transverse diameter of bulb and dorsal width of bulb bud, which are expressed as BH, BD and CW respectively, all in mm;

[0025] 3) Calculate the fresh weight of a single garlic bulb based on the measured LL, BH, BD and CW:

[0026] BFW = 1.199BH - 0.136LL + 1.437BD + 0.464CW - 62.127, the unit of BFW is g;

[0027] 4) Calculating the fresh weight yield of garlic according to the BFW obtained in step 3);

[0028] FWY=BFW×667÷(RS×RP)÷1000, the unit of FWY is kg;

[0029] The RS is the plant spacing, the unit is m, and the RP is the row spacing, the unit is m.

[0030] In the present invention, the aboveground leaf length of garlic plants is measured, represented by LL, in cm; wherein the aboveground leaf length of garlic plants is measured by:

[0031] Measure the aboveground leaf length (expressed by LL, in cm), bulb height (expressed by BH, in mm), bulb transverse diameter (expressed by BD, in mm) and bulb bud back width (expressed by CW, in mm) of garlic 10 to 30 days before harvest, preferably on a sunny day; leaf length is the length of the second or third complete leaf from the top of the garlic plant; preferably, the fibrous roots and garlic vines of fresh garlic are completely cut off to measure the bulb height, bulb transverse diameter and bulb bud back width, and the measuring tool is preferably a vernier caliper; bulb bud back width is preferably the maximum width of the outer arc surface of the bulb bud in a single garlic plant; bulb height is the height from the base to the top of the bulb; bulb transverse diameter is the maximum transverse diameter of the bulb; the number of repeated measurements is preferably ≧6.

[0032] With the weight of a single bulb as the dependent variable, path analysis was performed through stepwise regression analysis in Excel. According to the measured LL, BH, BD and CW, the univariate linear regression equation for calculating the weight of a single bulb was obtained:

[0033] BFW = 1.199BH - 0.136LL + 1.437BD + 0.464CW - 62.127, the unit of BFW is g;

[0034] The equation for garlic fresh weight yield was obtained by using the obtained BFW equation:

[0035] FWY=BFW×667÷(RS×RP)÷1000, the unit of FWY is kg;

[0036] RS is the plant spacing, in m, and RP is the row spacing, in m.

[0037] The technical solutions provided by the present invention are described in detail below in conjunction with the embodiments, but they should not be construed as limiting the protection scope of the present invention.

[0038] Example 1

[0039] The invention is based on the determination of 7 above-ground agronomic traits and 6 underground bulb indices of 151 collected garlic germplasm resources, takes the weight of a single bulb as the dependent variable, performs path analysis through stepwise regression, and obtains a univariate linear regression equation for calculating the weight of a single bulb; and predicts the per-mu garlic fresh weight yield according to the number of garlic planted per mu (determined by the row spacing). The weight of a single bulb of 151 garlic resources is calculated by the fitted regression equation, and the actual measured value of the fresh weight of each garlic bulb is used for linear regression analysis, and the correlation coefficient R 2 =0.9472. Therefore, the weight of a single garlic bulb can be calculated more accurately, and the fresh weight yield of garlic per mu can be calculated by inserting it into the equation BFW=1.199BH-0.136LL+1.437BD+0.464CW-62.127. The regression curve of the measured and predicted values ​​of the weight of a single garlic bulb for 151 garlic resources is shown in Figure 1 .

[0040] In order to verify the prediction effect of the equation, in early October 2023 (the planting time of garlic in the north), the newly collected 215 resources were planted in the Henan Modern Agriculture Research and Development Base (located in Pingyuan New District, Xinxiang City, Henan Province), with a row spacing of 10 cm × 15 cm, 400 plants per resource, and a plot area of ​​6 m 2 In the first half of 2024, the leaf length, bulb bud back width, bulb height, bulb transverse diameter and fresh weight yield of 6 individual plants of each of the 215 resources were measured. Due to the length of the table, the data of 32 resources out of the 215 resources were randomly selected for statistics, and the average value was calculated. According to the average value of the first four indicators, the predicted fresh weight yield of the 32 resources was calculated by substituting it into the formula. Compared with the actual measured fresh weight yield, the accuracy calculation method is: Accuracy = predicted fresh weight yield (kg / mu) / measured fresh weight yield (kg / mu) × 100%, and the average accuracy is 98.72%. For specific data, see Table 1.

[0041] Table 1 Garlic production forecast

[0042]

[0043]

[0044] Through the verification of the above resources, the prediction accuracy of the method for predicting the fresh weight yield of garlic of the present invention is high, which is 98.72%, which is very close to the actual yield. It only needs to measure the leaf length of 6 garlic plants and the bulb height, bulb transverse diameter and bulb bud back width of 6 garlic heads, a total of 4 indicators, to estimate the fresh weight yield of garlic per mu. The method has a simple operation process, is easy to learn and master, and can allow garlic growers or planting enterprises to more accurately estimate the fresh garlic yield of the year, and then have a clear idea of ​​the garlic planting income.

[0045] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for predicting the fresh weight yield of garlic, characterized in that: The following steps are involved: 1) Measure the aboveground leaf length of garlic plants, expressed as LL, in cm; 2) Determine the height of garlic bulb, transverse diameter of bulb and dorsal width of bulb bud, which are expressed as BH, BD and CW respectively, all in mm; 3) Calculate the fresh weight of a single garlic bulb based on the measured LL, BH, BD and CW: BFW = 1.199BH - 0.136LL + 1.437BD + 0.464CW - 62.127, the unit of BFW is g; 4) Calculating the fresh weight yield of garlic according to the BFW obtained in step 3); FWY=BFW×667÷(RS×RP)÷1000, the unit of FWY is kg; RS is the plant spacing, in m, and RP is the row spacing, in m.

2. The method according to claim 1, characterized in that The method for measuring the aboveground leaf length of garlic plants in step 1) is: Measure the aboveground leaf length of garlic 10 to 30 days before harvest. The leaf length is the length of the second or third complete leaf from the top of the garlic plant.

3. The method according to claim 1, characterized in that: The dorsal width of the bulbil is the maximum width of the outer arc surface of the bulbil in a single garlic plant.

4. The method according to claim 1, characterized in that: The garlic includes autumn-sown garlic.

5. The method according to claim 1, characterized in that The measurements in step 1) and step 2) were performed on a sunny day.

6. The method according to claim 1, characterized in that The number of repetitions for the determination of garlic in step 1) and step 2) was ≥ 6.