一种玉米杂交亲本快速匹配组配方法

By constructing a maize hybrid parent resource bank and trait database, and employing standardized algorithms for complementary trait screening and priority ranking, the problems of scattered maize parent resources and inaccurate combination optimization were solved, enabling rapid matching and combination optimization of parents, and significantly improving breeding efficiency and variety development speed.

CN122245418BActive Publication Date: 2026-07-17HAINAN GUANGKE HUACHUANG SEED TECHNOLOGY CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HAINAN GUANGKE HUACHUANG SEED TECHNOLOGY CO LTD
Filing Date
2026-05-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The existing maize hybrid parent resources are scattered, have low utilization rates, and lack quantitative standards, resulting in inaccurate parent selection, complicated combination optimization, and long cycles, which cannot meet the needs of modern agriculture for the rapid breeding of superior varieties.

Method used

We constructed a maize hybrid parent resource bank and trait database. Through trait complementarity screening, parent priority ranking, and hybrid combination optimization, we adopted standardized algorithms to achieve rapid parent matching and combination optimization, including trait complementarity calculation, parent priority scoring, and a comprehensive evaluation model, and integrated complete trait data of large-scale parent resources.

Benefits of technology

It enables systematic management and efficient utilization of parental resources, reduces breeding costs, significantly shortens the hybrid combination selection cycle, improves breeding efficiency, is applicable to various breeding units and seed companies, is compatible with commercial breeding models, and improves the success rate of maize breeding.

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Abstract

本发明涉及玉米育种技术领域,尤其一种玉米杂交亲本快速匹配组配方法,其技术方案包括:依托9862份规模化玉米杂交亲本资源,构建涵盖抗逆性、丰产性、配合力的完整亲本性状数据库,通过“性状互补筛选→亲本优先级排序→杂交组合优化”的三级算法逻辑,实现亲本快速匹配与最优组合筛选;通过性状互补度模型筛选合格杂交组合,基于配合力综合值、性状达标率等指标进行亲本优先级排序,最后通过综合评价模型筛选最优及备选杂交组合,同时实现数据库动态更新与算法迭代;解决了传统亲本组配依赖经验、周期长、精准度低的问题,将组配周期从3‑5年缩短至12‑18个月,最优组合平均增产10.3%,适配商业化育种及种业CRO服务场景,适用于各类玉米育种单位及种子企业。
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