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Method for predicting symptom appearance rate and severity of sweet potato virus disease in nursery stage

A sweet potato seedling raising and virus disease technology, applied in the field of bioengineering, can solve problems such as yield loss and no harvest, achieve the effects of reliable methods, improved early warning and prevention and control levels, and reduced business risks

Active Publication Date: 2018-12-07
INST OF PLANT PROTECTION HENAN ACAD OF AGRI SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Different Potyvirus virus generally can cause 5-94% yield loss according to kind; (2) sweet potato chlorotic dwarf virus (SPCSV), generally can cause 15-88% yield loss after infecting sweet potato, and SPCSV can be with multiple Viruses form associated diseases, causing more serious yield loss and even crop failure; (3) Sweepoviruses

Method used

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  • Method for predicting symptom appearance rate and severity of sweet potato virus disease in nursery stage
  • Method for predicting symptom appearance rate and severity of sweet potato virus disease in nursery stage
  • Method for predicting symptom appearance rate and severity of sweet potato virus disease in nursery stage

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0020] Embodiment 1, the relationship between the virus species carried by seed potatoes and the severity of disease in the seedling stage

[0021] 1. Materials:

[0022] 1.1 Sweet potato seed potatoes for testing: The seed potatoes used in the present invention are the seed potatoes harvested from different planting places in the previous year and stored in potato cellars. The variety is Shangshu 19 (S19), and 175 seed potatoes harvested from different plots were randomly selected and numbered, and then the middle part of the potato skin and the connected potato flesh were excavated with a scalpel, and ground into powder with liquid nitrogen , stored in a -70°C ultra-low temperature freezer for nucleic acid (DNA and RNA) extraction.

[0023] 1.2 Seedling cultivation: The sampled potato pieces were raised in nutrient pots, one potato per pot, placed in the greenhouse, the emergence time of the potato pieces was recorded, and the disease symptom rate and severity at the seedli...

Embodiment 2

[0054] Example 2. Application of a method for predicting the apparent rate and severity of virus disease in sweet potato seedling cultivation stage

[0055] 1. Materials: Two batches of seed potatoes stored in potato cellars from different plots (Luoyang and Xuchang) were randomly selected as samples for virus detection. The variety is Shangshu 19 (S19). The total amount of the first batch of seed potatoes was about 400kg, and a total of 15 potato cubes (about 7.5kg) were sampled, accounting for about 1.9% of the total; the second batch of seed potatoes totaled about 400kg, and a total of 92 potato cubes were sampled (about 46kg), the sampling volume accounts for about 11.5% of the total. The detection method of the virus species is the same as in Example 1.

[0056] 2. Seedling cultivation: the above two batches of seed potatoes were raised in the greenhouse by conventional methods.

[0057] 3. Disease investigation: About 30 days after the seedlings were raised, the diseas...

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Abstract

The invention discloses a method for predicting the symptom appearance rate of severity of the sweet potato virus disease in the nursery stage. The method comprises the following steps: randomly extracting a sweet potato seed sample before breeding sweet potatoes; extracting total DNA and total RNA of the sweet potato seed sample, and detecting the virus situation carried by the sweet potato seedsrespectively by adopting PCR and RT-PCR methods; and predicting the symptom appearance rate and severity of the sweet potato virus disease in the nursery stage according to the type of the virus carried by the sweet potato seeds and the virus carrying rate of the sweet potato seeds. The prediction method is obtained through massive field tests, and is reliable since the actual result is close tothe predicted value through sweet potato breeding verification, is applicable to existing sweet potato varieties on the market, especially commercial sweet potatoes 19, can be used for early accurately predicting the risk of nursery stage diseases in the storage stage of sweet potato seeds, and provides early warning to the occurrence risk of sweet potato virus disease. The method can be used foreffectively reducing the business risk of sweet potato seeds and seedling enterprises and economic loss of sweet potato farmers, and has an important meaning for increasing the pre-warning and prevention and control level of the sweet potato virus disease in China.

Description

technical field [0001] The invention relates to a method for predicting the apparent rate and severity of virus disease in the sweet potato seedling raising stage, and belongs to the technical field of bioengineering. Background technique [0002] Sweet potato is an important food crop in my country and a health food for improving the dietary structure of urban and rural residents. At present, sweet potato is also a dominant crop in my country's agricultural industrial structure adjustment and an important economic crop that increases farmers' income. my country is the largest sweet potato producer in the world, with an annual planting area of ​​about 70 million mu, accounting for about 45% of the world's planting area. Virus disease is a kind of important disease on sweet potato, which can cause the yield reduction and seed degradation of sweet potato, which is very harmful to sweet potato production. At present, there are more than 30 kinds of viruses that have been repo...

Claims

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Application Information

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IPC IPC(8): C12Q1/70C12Q1/686
CPCC12Q1/686C12Q1/701C12Q2600/16C12Q2537/143
Inventor 张振臣赵付枚王爽田雨婷乔奇秦艳红王永江张德胜
Owner INST OF PLANT PROTECTION HENAN ACAD OF AGRI SCI
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