QX/T 666-2023 in English
VALIDSpecification for agrometeorological observation - Peanut
- Issued on:2023-04-23
- Implemented on:2023-07-01
- File Format:PDF
- Delivery:Via email within 5 business days
$592.00
Introduction
Interpretation of the core content of the standard
Observation technology system architecture
This standard constructs a two-layer observation system that includes parallel observation and point-to-surface combination, and ensures the representativeness and scientificity of the data by combining fixed observation points with regional surveys. The key technical indicators include:
| Observation dimension | Core parameters | Measurement accuracy | Frequency requirement |
|---|---|---|---|
| Development period | 9 key periods (from sowing to maturity) | Morphological feature identification | Every other day observation + end-of-decade inspection |
| Growth | Leaf area index/dry matter weight | 0.01g accuracy | 5 common periods |
| Yield structure | 8 indicators (including empty pod rate, etc.) | 1% error control | One-time before harvest |
Key technical innovations
1. Development period determination technology
Innovatively proposed "double threshold determination method":
- 10% of the plants show characteristics as the initial stage of development
- 50% of the plants meet the standards as the general stage of development
- For hidden development periods such as the needle-dropping stage, soil digging is required for verification
2. Yield prediction model
By establishing a ternary calculation model of number of pods per plant × 100-grain weight × kernel yield rate, the theoretical yield prediction error is controlled within ±5%. Among them:
Theoretical yield (g/m²) = pod weight per plant (g) × plant density (plant/m²) Kernel rate = (kernel dry weight/pod dry weight) × 100%
Typical cases of standard implementation
The application of Henan Meteorological Science Research Institute in Zhumadian Experimental Base shows that:
- Through dynamic monitoring of leaf area index, the window period for topdressing can be accurately determined, and the use of chemical fertilizers can be reduced by 12%
- Based on the correlation analysis between empty pod rate and meteorological elements, a drought early warning model is established
- The standardized recording system improves data comparability by 40%
Meteorological disaster response specifications
The standard specifies the observation methods for 5 major disasters:
| Disaster type | Key indicators | Observation points | Yield reduction assessment |
|---|---|---|---|
| Drought | Dry soil thickness | Flowering obstruction rate | 5-level division |
| Waterlogging | Duration of waterlogging | Rate of rotten pods | 3-day threshold |
| Hail disaster | Hail diameter | Stem breakage rate | Instant assessment |
Implementation suggestions
1. Observation equipment configuration
- Required: electronic balance (0.01g), leaf area meter, soil moisture rapid tester
- Recommended: portable weather station, multi-spectral imager
2. Data quality control
Implement the "three-review system": observer self-review → technical person in charge review → business supervisor final review, to ensure:
- Development period determination error ≤ 3 days
- Yield analysis error ≤ 2%
3. Standard connection application
It is recommended to use it in conjunction with QX/T 299-2015 "General Principles of Agricultural Meteorological Observation Specifications" to form a complete observation system.

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