Liu Ce, Du Shengli, Wei Aimin, Cheng Zhihui, Meng Huanwen, Han Yike
Cucumber Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin 300192, China.
State Key Laboratory of Vegetable Biobreeding, Tianjin 300192, China.
Plants (Basel). 2024 Oct 4;13(19):2790. doi: 10.3390/plants13192790.
In the context of rapidly increasing population and diversified market demands, the steady improvement of yield and quality in horticultural crops has become an urgent challenge that modern breeding efforts must tackle. Heterosis, a pivotal theoretical foundation for plant breeding, facilitates the creation of superior hybrids through crossbreeding and selection among a variety of parents. However, the vast number of potential hybrids presents a significant challenge for breeders in efficiently predicting and selecting the most promising candidates. The development and refinement of effective hybrid prediction methods have long been central to research in this field. This article systematically reviews the advancements in hybrid prediction for horticultural crops, including the roles of marker-assisted breeding and genomic prediction in phenotypic forecasting. It also underscores the limitations of some predictors, like genetic distance, which do not consistently offer reliable hybrid predictions. Looking ahead, it explores the integration of phenomics with genomic prediction technologies as a means to elevate prediction accuracy within actual breeding programs.
在人口迅速增长和市场需求多样化的背景下，园艺作物产量和品质的稳步提升已成为现代育种工作必须应对的紧迫挑战。杂种优势作为植物育种的关键理论基础，通过在多种亲本间进行杂交和选择，有助于培育出优良杂种。然而，大量潜在杂种给育种者高效预测和选择最有潜力的候选品种带来了巨大挑战。长期以来，开发和完善有效的杂种预测方法一直是该领域研究的核心。本文系统回顾了园艺作物杂种预测的进展，包括标记辅助育种和基因组预测在表型预测中的作用。文章还强调了一些预测指标（如遗传距离）的局限性，这些指标并不能始终提供可靠的杂种预测。展望未来，本文探讨了将表型组学与基因组预测技术相结合，作为提高实际育种计划中预测准确性的一种手段。
