Smart breeding driven by advances in sequencing technology

Chenji Zhang, Sirong Jiang, Yangyang Tian, Xiaorui Dong, Jianjia Xiao, Yanjie Lu, Tiyun Liang, Hongmei Zhou, Dabin Xu, Han Zhang, Ming Luo, Zhiqiang Xia
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引用次数: 3

Abstract

Crop breeding has undergone numerous advancements throughout history with the next revolution being uncertain. This review provides an overview of breeding techniques from traditional selective breeding and crossbreeding to modern breeding based on molecular marker‐assisted and genomic selection. Systematic analysis of the mainstream genotyping approaches based on principle, application scenario and supporting software revealed that the changes in genotyping technology have led to an explosion in data. This data expansion will drive a breakthrough in sequencing technology and integrate artificial intelligence with automation. The review also discusses the technological changes associated with breeding during the big data era, including breeding models, genotyping technologies and future intelligent breeding, to provide references for crop breeders. The paper highlights the potential of smart breeding technologies driven by advances in sequencing technology, which will lead to the development of new breeding strategies and accelerate the breeding process.
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测序技术的进步推动了智能育种
作物育种在历史上经历了无数的进步,下一次革命是不确定的。本文综述了从传统的选择育种和杂交育种到基于分子标记辅助育种和基因组选择的现代育种技术。从原理、应用场景和配套软件等方面对主流基因分型方法进行系统分析,发现基因分型技术的变化导致数据爆炸式增长。这种数据扩展将推动测序技术的突破,并将人工智能与自动化相结合。本文还讨论了大数据时代育种相关的技术变革,包括育种模式、基因分型技术和未来的智能育种,为作物育种工作者提供参考。本文强调了在测序技术进步的推动下,智能育种技术的潜力,这将导致新的育种策略的发展,并加速育种过程。
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