物候学
串扰
限制
生物
计算生物学
基因组学
计算机科学
基因组选择
生物技术
生命银行
植物种类
表型
植物育种
拟南芥
功能基因组学
数据科学
生物信息学
数量性状位点
适应性
植物遗传学
分子育种
植物生长
数据集成
作者
Huihui Li,Shang Gao,Takele Weldu Gebrewahid,Wenxue Li,Jiankang Wang,Zanping Han,Matthew Reynolds,J. L. Araus,Sarah Hearne,Yunbi Xu
标识
DOI:10.1038/s41467-026-73097-x
摘要
Genomics, including all molecular omics, is driven by molecular data, while phenomics and enviromics rely on phenotypic and environmental data. Yet phenotyping is often conducted under poorly characterized environments, limiting the interpretation of phenotypic variation and constraining genetic gain. Integrating high-throughput phenotyping with envirotyping is hence vital to resolve genomic effects. This perspective introduces phenomics-enviromics (PE) crosstalk as a framework for coordinated data collection and integration to advance omics and precision plant breeding. Satellites, unmanned aerial and ground vehicles, and controlled indoor facilities, combined with AI-assisted typing technologies and modeling, are establishing the basis for synchronous, high-throughput PE crosstalk to enhance interpretability, prediction, and crop resilience. Genomics, phenomics, and enviromics constitute the G–P–E triangle in plant breeding, yet enviromics and its interaction with phenomics remain underexplored. Here, the authors introduce phenomics–enviromics (PE) crosstalk and discuss its coordinated data-collection and -integration into next-generation plant breeding.
科研通智能强力驱动
Strongly Powered by AbleSci AI