GB/T 37719.1-2019 in English
VALIDGrain and oil storage—Assistant album of stored grain pests—Part 1: Tenebrionidae
- Issued on:2019-06-04
- Implemented on:2020-01-01
- File Format:PDF
- Delivery:Via email within 5 business days
$301.00
| Standard No: | GB/T 37719.1-2019 |
| Document status: | VALID |
| Title in English: | Grain and oil storage—Assistant album of stored grain pests—Part 1: Tenebrionidae |
| Title in Chinese: | 粮油储藏 储粮害虫检验辅助图谱 第1部分:拟步甲科 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 5 business days |
| Issued on: | 2019-06-04 |
| Implemented on: | 2020-01-01 |
| ICS Classification: | 67.060-Cereals, pulses and derived products |
| Chinese Classification: | B20-Cereal crop and forage crop in general |
| Professional Classification: | GB-National Standard |
| Related Keywords: | stored grain pests
stored grain grain storage conditions oil storage assistant album tenebrionidae pests |
| Related Topics: | grain and oil
China grain storage Grain and Oil Inspection and Analysis Xu Chuliang East grain storage GB/T 37719.1 Grain and oil storage China grain storage industry |
《GB/T 37719.1-2019粮油储藏 储粮害虫检验辅助图谱 第1部分:拟步甲科》由TC270(全国粮油标准化技术委员会)归口,TC270SC3(全国粮油标准化技术委员会粮食储藏及流通分会)执行,主管部门为国家粮食和物资储备局。
Introduction
In-depth interpretation of GB/T 37719.1—2019 "Auxiliary Atlas for Inspection of Stored Grain Pests in Grain and Oil Storage"
1. Background and significance of standard formulation
GB/T 37719.1—2019 is an auxiliary atlas for inspection of common pests in grain and oil storage - Tenebrionidae. With the continuous expansion of my country's grain reserves, the problem of stored grain pests has become increasingly prominent, especially Tenebrionidae pests, which are extremely harmful to grain quality and safety and storage environment. The formulation of this standard provides an important reference for the rapid and accurate identification of these pests.
2. Comparative analysis of standard frameworks
| Standard dimensions | GB/T 37719.1—2019 | International comparison (ISO reference) | Other domestic standards |
|---|---|---|---|
| Scope of application | Auxiliary reference for identification of adult Tenebrionidae pests | Covering the classification and inspection of stored grain pests | Mainly for storage pest management |
| Core content | Term definitions, pest types, inspection tools and environments, identification characteristics | Including pest classification and control methods | Focusing on stored grain environment management |
| Technical requirements | Detailed description of body length, head characteristics, antennae structure, etc. | Emphasis on pest monitoring and control technology | Focus on optimizing grain storage conditions |
3. Classification and characteristic interpretation of Tenebrionidae pests
Basic characteristics of Tenebrionidae:
- Various body shapes, long and slightly flat
- Hard body wall, mostly black, reddish brown or spotted
- Small head, anterior mouth, short antennae
- Compound eyes are often cut by cheeks
- Legs are thick and long, smooth or with thorns
4. Implementation suggestions and application guidelines
Case Study: Rapid Identification of Red Flounder
Red Flounder (Tribolium castaneum):
- Body length: 2.3mm ~ 4.4mm
- Appearance: Long oval, reddish brown, densely covered with small puncta
- Head characteristics: Flat and wide head, with obvious swelling of the three ends of the antennae
- Thorax characteristics: Pronotum transversely rectangular, elytra with longitudinal puncta
Implementation suggestions:
1. Use the inspection tools specified in the standard (such as magnifying glass, stereo microscope) for observation.
2. Ensure that the inspection environment is well lit and avoid interference from direct sunlight.
3. For difficult insect species, refer to the morphological characteristics comparison table in the atlas.
Summary
GB/T 37719.1—2019 provides important technical support for the grain and oil storage field. Through scientific inspection methods and detailed atlas comparison, the accuracy and efficiency of stored grain pest identification can be effectively improved.

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