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QX/T 409-2017 in English

QX/T 409-2017 in English

VALID

Specifications for agrometeorological observation—Tomato

  • Issued on:2017-12-29
  • Implemented on:2018-05-01
  • File Format:PDF
  • Delivery:Via email within 5 business days
Price(USD): $700.00
$679.00


Introduction

Standard Framework and Technological Evolution

This standard, my country's first industry standard specifically for tomato-specific agrometeorological observation, establishes a dual-track observation system combining "parallel observation and integrated observation and observation." Compared to the 1993 edition of the "Agrometeorological Observation Specification," it adds six new technical innovations, including yield structure analysis and quantitative assessment of pests and diseases, achieving a leap from qualitative description to quantitative analysis.

Core Observation Index System

Observation TypeKey IndicatorsTechnical MethodsAccuracy Requirements
Developmental Observation9 Key Periods (from Sowing to Pulling)Population Percentage Method (10%/50%)±1 Day
Growth MeasurementPlant Height, Density, and Classification of Three Seedling CategoriesFour-Point Sampling Method (40 Plants)Plant Height±1cm
Yield analysisEconomic coefficient, hectare yieldFixed plant continuous harvesting methodSingle fruit weight±0.1g
Disaster monitoring7 types of meteorological disasters + 23 types of pests and diseasesSymptom grading scaleDamage rate±5%

Typical application scenarios

Case 1: Frost warning in the Hetao area of Inner Mongolia
According to clause 7.1.4 of the standard, when the minimum surface temperature was monitored to be ≤2℃ and lasted for 4 hours, combined with observation data during the tomato flowering period, a defense warning was issued 72 hours in advance, reducing the disaster rate from 23% in previous years to 7%.

Case 2: Facility Tomato Yield Prediction
Using the fresh fruit re-measurement yield formula in Appendix B:
Y=(a%+b%e%+c%f%+d%g%)ABC/1000
The yield prediction error was ≤8% 20 days before harvest, which is 40% higher than the traditional method.


Solutions to implementation difficulties

  1. Regression of development period: Re-test immediately according to clause 4.6.2, with the last observation as the basis, and note the environmental mutation factors
  2. Complex disaster assessment: Establish a weight matrix with reference to Table 2, and give priority to recording the dominant disaster (e.g., hail is the main disaster when hail is superimposed on continuous rain)
  3. Observation of plant replacement: When a single measuring point has ≥3 plants and loses its representativeness, re-select a site according to clause 4.6.4 and retain the original data for comparison

Innovative value of the standard

  • Established the corresponding relationship between the tomato growth period and accumulated temperature for the first time (e.g., the budding period requires ≥650℃·d)
  • Innovatively proposed the "economic coefficient" indicator (0.35-0.55 is optimal) to quantify the cultivation benefits
  • Appendix C contains diagnostic maps of 23 pests and diseases, enabling rapid identification in the field

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