GB/T 36775-2018 in English

In-depth interpretation of GB/T 36775—2018 Quarantine and identification methods for citrus leaf spot

I. Background and significance of standard formulation

Citrus leaf spot (Pseudocercospora angolensis) is a disease that seriously affects citrus plants, with a wide range of spread and high degree of harm. In order to standardize the quarantine and identification of the pathogen and ensure the safe circulation of citrus seedlings and fruits, GB/T 36775—2018 "Quarantine and identification methods for citrus leaf spot" came into being.

The standard was proposed by the National Technical Committee for Plant Quarantine and Standardization and officially released in 2018. The background of its formulation is mainly based on the following points:

• The rapid development of the citrus industry and its international trade needs
• The diverse transmission routes of pathogens make risk prevention and control difficult
• The domestic and foreign quarantine standards are not unified, and standardized identification methods are urgently needed

II. Comparative analysis of standard frameworks

III. Core content and technical points

IV. Implementation suggestions and precautions

To ensure the effective implementation of GB/T 36775-2018, the following suggestions are put forward:

• Equipment guarantee: the laboratory needs to be equipped with key instruments and equipment such as stereo microscopes and biological incubators.
• Staff training: quarantine personnel need to master the morphological characteristics and identification techniques of pathogens.
• Sample preservation: Positive samples need to be stored at low temperatures to ensure strain activity and traceability.
• Data management: Establish a complete inspection record and image archive management system.

V. Analysis of standard technology evolution

The quarantine and identification methods of citrus leaf spot pathogen have undergone a technical evolution from qualitative to quantitative, from single symptom observation to multi-dimensional feature comparison. In the future, with the development of molecular biology technology, the identification process can be further optimized and the detection efficiency can be improved.