Method and device for layout of crop variety testing site

Abstract

The invention provides a crop variety testing site laying-out method and device. The method comprises: acquiring the number (parameter 1) of environment categories to which a to-be-laid-out planting region belongs, an environment category (parameter 2) to which each geographical grid (grid) in each time unit of a time period belongs, each environment index value (parameter 3) of each geographicalgrid in each time unit and each grid planting area (parameter 4); calculating a final attribution category (parameter 5) of each grid and an attribution degree (AD) of each grid according to the parameter 2 and the first time period, determining that the grids of which the ADs are greater than or equal to a threshold value are a region 1, determining that the grids of which the ADs are less than the threshold value are a region 2, and counting the number (parameter 6) of the geographical grids of each region; calculating the number of all sites of the region 1 and the region 2 of each environment category, according to the parameter 1, the parameter 2, the parameter 3, the parameter 6, the preset time period and an experiment cycle; calculating a first sampling probability according to theparameter 2, the parameter 3, the parameter 4 and the parameter 5, and calculating a second sampling probability according to the parameter 2 and the parameter 4; and carrying out laying-out according to the above-mentioned number of the sites and the sampling probabilities to uniformly distribute the sites.

Description

technical field [0001] The invention relates to the technical field of computer processing, in particular to a method and device for layout of a crop variety testing site. Background technique [0002] The rational distribution of corn is based on the full understanding of the corn planting environment and the testing of the characteristics of the corn variety. The multi-environment test (MET) is to analyze the new varieties by rationally arranging the sites with high representativeness of the target promotion environment under the condition of fully understanding the crop planting environment, and evaluate the adaptability and high yield of the new varieties to determine its potential. Utilization value and suitable promotion area. [0003] At present, my country's corn testing system is not perfect enough, and the layout of testing sites is generally based on qualitative experience, which is highly subjective, resulting in low representativeness of testing sites for the e...

AI Technical Summary

Problems solved by technology

[0003] At present, my country's corn testing system is not perfect enough, and the layout of testing sites is generally based on qualitative experience, which is highly subjective, resulting in low representativeness of testing sites for the environment and unreasonable layout.

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