A method for fast matching and assembling of corn hybrid parents

By constructing a maize hybrid parent resource bank and trait database, and employing a three-level algorithm logic of trait complementarity screening, parent priority ranking, and hybrid combination optimization, the problems of scattered maize hybrid parent resources and inaccurate combination optimization were solved, achieving rapid matching and efficient breeding.

CN122245418APending Publication Date: 2026-06-19HAINAN GUANGKE HUACHUANG SEED TECHNOLOGY CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HAINAN GUANGKE HUACHUANG SEED TECHNOLOGY CO LTD
Filing Date
2026-05-22
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

The existing maize hybrid parent resources are scattered, and it is difficult to quickly retrieve and compare trait information. The lack of quantitative standards leads to inaccurate parent selection, complicated combination optimization process, inability to quickly sort the optimal hybrid combination, and long breeding cycle.

Method used

A maize hybrid parent resource bank and trait database were constructed. Through a three-level algorithm logic of trait complementarity screening, parent priority ranking, and hybrid combination optimization, rapid parent matching and combination optimization were achieved. Molecular marker technology and pedigree information integration were used to establish a quantitative model for standardized screening.

Benefits of technology

It enables systematic management of parental resources, reduces subjective judgment errors by breeders, significantly shortens the hybrid combination selection cycle, and improves breeding efficiency and the accuracy of combinations. It is applicable to various breeding units and seed companies.

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Abstract

This invention relates to the field of maize breeding technology, and in particular to a method for rapid matching and combination of maize hybrid parents. The technical solution includes: constructing a complete parental trait database covering stress resistance, high yield, and combining ability based on 9862 large-scale maize hybrid parent resources; achieving rapid parental matching and optimal combination selection through a three-level algorithm logic of "trait complementarity screening → parental priority ranking → hybrid combination optimization"; screening qualified hybrid combinations through a trait complementarity model; prioritizing parents based on indicators such as comprehensive combining ability value and trait compliance rate; and finally selecting the optimal and candidate hybrid combinations through a comprehensive evaluation model. Simultaneously, the database is dynamically updated and the algorithm iterates. This method solves the problems of traditional parental combination relying on experience, long cycles, and low accuracy, shortening the combination cycle from 3-5 years to 12-18 months. The optimal combination increases yield by an average of 10.3%, making it suitable for commercial breeding and seed industry CRO service scenarios, and applicable to various maize breeding units and seed companies.
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