Rapid prediction technology for epidermis diseases at last storage stage of apples

A prediction technology and disease technology, which is applied in the field of rapid prediction of epidermal diseases at the end of apple storage, can solve problems such as complicated operations, and achieve the effect of simplifying the dyeing process and improving the dyeing efficiency.

Pending Publication Date: 2022-07-29
SHANDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Preliminary studies have found that postharvest aniline blue staining of apples can be used to predict the good fruit rate at the end of fruit storage, but this method is complicated to operate and needs to be completed with vacuum equipment

Method used

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  • Rapid prediction technology for epidermis diseases at last storage stage of apples
  • Rapid prediction technology for epidermis diseases at last storage stage of apples
  • Rapid prediction technology for epidermis diseases at last storage stage of apples

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] Example 1 Establishment of a prediction model for epidermal diseases at the end of storage of apples

[0024] The xylene cyanol and the fast penetrant T were dissolved to prepare a homogeneous solution of 1.5 g / L and 3% respectively, and 270 fruits of uniform size, no diseases and insect pests, and no obvious mechanical damage were picked from each of 12 orchards for 5 consecutive years. The fruits of each picking orchard were divided into 3 groups (three repetitions), respectively immersed in the dyeing solution for 90 minutes, then taken out, rinsed with clean and flowing tap water, and observed the dyeing index after 2 hours. Fruits with different dyeing levels were treated with apples Ordinary polyethylene fresh-keeping bags commonly used in the cold storage of the origin are packaged, and then put into a carton and stored in a cold storage with a relative humidity (RH) of 85% to 90% for 7 months, and the disease is counted after being taken out and placed for 24 hou...

Embodiment 2

[0027] Dissolving xylene cyanol and fast penetrating agent T to prepare 1.5 g / L and 3% homogeneous solutions respectively, and picking fruits with uniform size, no diseases and insect pests, and no obvious mechanical damage in a typical orchard in Zhaoyuan, the main apple producing area of ​​Shandong Province 270 apples, divided into 3 groups (three repetitions), immersed in the dyeing solution for 90 minutes, then taken out, rinsed with clean and flowing tap water, observed the dyeing index after 2 hours, and then used ordinary polyethylene fresh-keeping bags commonly used in refrigerators in the origin of apples. Packed, and then put in a carton for 7 months in a refrigerator with a relative humidity (RH) of 85% to 90% at (0±1)℃, and the disease index was counted after being taken out and placed for 7 days.

[0028] The dyeing rate was 33.6%, the predicted disease occurrence index was 8.01%, the actual disease occurrence was 9.0%, the error was 0.99%, and the accuracy was hig...

Embodiment 3

[0030] Dissolving xylene cyanol and fast penetrating agent T to prepare 1.5 g / L and 3% homogeneous solutions respectively, and picking fruits with uniform size, no diseases and insect pests, and no obvious mechanical damage in a typical orchard in Wendeng, the main apple producing area of ​​Shandong Province 270 Divide them into 3 groups (three repetitions), immerse them in the dyeing solution for 90 minutes, then take them out, rinse them with clean and flowing tap water, observe the dyeing index after 2 hours, and then pack them in ordinary polyethylene fresh-keeping bags commonly used in refrigerators in the origin of apples. , and then put it into a carton for 7 months in a refrigerator with a relative humidity (RH) of 85% to 90% at (0 ± 1) ℃, and then take out and place for 7 days to count the disease index.

[0031] The dyeing index was 54.6%, the predicted disease occurrence index was 13.43%, the actual disease occurrence was 11.6%, the error was 1.83%, and the accuracy ...

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Abstract

The invention provides a technology for rapidly predicting epidermis diseases at the last stage of apple storage, which is characterized by comprising the following steps: preparing a mixed coloring agent containing 1.5 g / L xylene cyan and 3% of a rapid penetrant T, soaking apple fruits in the coloring agent for 90 minutes, calculating the dyeing index of the fruits, establishing a prediction model by using the dyeing index of the fruits before storage and the disease index of the fruits after storage, and predicting the epidermis diseases at the last stage of apple storage. And predicting the epidermis disease occurrence index at the end of fruit storage. By applying the model, a technical reference is provided for storage practice, and the risk of storage operation and unpredictable economic loss can be reduced.

Description

technical field [0001] The invention relates to a rapid prediction technology for epidermal diseases at the end of storage of apples, and belongs to the field of food preservation. Background technique [0002] Apples are one of the largest fruits in my country, and more than 10 million tons of apples are stored in cold storage every year. Epidermal disease is one of the key limiting factors affecting the storage quality of apples, and symptoms often begin to appear at the end of fruit storage or even during shelf life, resulting in huge economic losses. Seeking a method for predicting epidermal disease of apple fruit before storage, and providing technical reference information for storage practice, can reduce the risk of storage management and unforeseen economic losses. [0003] Preliminary research found that postharvest aniline blue staining of apples can be used to predict the good rate of fruit at the end of storage, but this method is complicated to operate and need...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F17/18
CPCG06Q10/04G06F17/18
Inventor 张新华闵德栋李富军付晓东
Owner SHANDONG UNIV OF TECH
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