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Click Breeding: Toward programmable crop design

delete2026-07-13
delete0
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OA
AI
B
Binbin Dai
Y
Yifu Tian *
J
Jingyi Chai
F
Fenyi Liu
S
Siheng Chen *
TANG KEXUAN 封面图
TANG KEXUAN (Kexuan Tang) *
DOI：10.1016/j.tplants.2026.06.009delete
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摘要

摘要

En 中文
基因组预测仅凭自身越来越难以在非加性效应和G×E互作塑造的复杂多基因性状中跨环境泛化。AI驱动的育种设计智能体能够根据明确目标、约束和不确定性生成并评估多代育种策略——超越了候选排名。整合基因、环境和生理学的性状级数字孪生能够支持在体设计（design-before-build）和基于校准不确定性的风险意识决策。设计式治理嵌入分步实验工作流中，使可追溯性和生物安全合规成为AI赋能育种流程的内置功能。
Keyword:
complex traits
breeding program design
digital twins
constrained multi-objective optimization
governance-by-design
AI总结

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Trends in Plant Science 封面图
Trends in Plant Science
IF:
20.8
论文数:
3.8K
被引数:
3.2W

机构

S
shanghai jiao tong university
学者数:
15.7W
论文数: 11.7W
被引数: 159
Y
yazhouwan national laboratory
学者数:
430
论文数: 229
被引数: 1
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