Kit used for detecting soybean diaporthe/phomopsis syndrome and detection method

Abstract

The invention provides a kit used for detecting soybean diaporthe / phomopsis syndrome and a detection method. The kit comprises real-time fluorescence reaction mixed liquor TaqMan Universal PCR Master Mix including Buffer, Mgcl2, dNTP and Taq enzyme, a primer and a probe. Compared with the prior art, the invention has the advantage that the molecular biology identification and detection of the south-north diaporthe phaseolorum and soybean phomopsis corynesbacterium Michiganense can be carried out on disease tissues found in the processes of actual quarantine inspection and field survey, so as to realizing the significant meaning for the entry-exit inspection and quarantine of China.

Description

technical field [0001] The invention relates to a kit and a detection method for detecting the soybean interstitium / phomoid syndrome. Background technique [0002] Diaporthe phaseolorum var.caulivora(DPC) and Diaporthe phaseolorum var.meridionalis(DPM) are very similar in morphology to Phomopsis longicolla(PL) and are often found in Compound infestation on soybeans, causing mesophyll / phomoid syndrome, is a devastating disease in soybean production that can lead to the death of soybean flakes during the growth and maturity stages. It was once reported in the late 1940s and In the early 1950s, soybean production in the Midwest of the United States was seriously lost. In 1994, the world's soybean production loss was about 2 million tons; in the 1980s, stem canker occurred again in South America, resulting in the production loss of susceptible soybean varieties. As high as 80%, the loss caused in the southeastern United States in 1983 was 37 million US dollars. From 1996 to 200...

AI Technical Summary

Problems solved by technology

In recent years, methods such as RAPD, PCR-RFLP, and serology have been successively applied to the identification of soybean stem canker pathogens in the northern and southern regions and soybean stem rot pathogens. However, these methods have complex operations, low detection sensitivity, or low specificity. , or poor repeatability and other shortcomings, it is difficult to popularize and apply in actual detection work

It requires a lot of experience to pass the morphological identification, it is easy to misjudgment, and the detection cycle is long

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