UWA School of Biological Sciences and the UWA Institute of Agriculture, University of Western Australia, Crawley, WA, Australia.
Sunway College Kuala Lumpur, Bandar Sunway, 47500, Selangor, Malaysia.
Curr Opin Plant Biol. 2022 Jun;67:102220. doi: 10.1016/j.pbi.2022.102220. Epub 2022 Apr 27.
Climate change and exponential population growth are exposing an immediate need for developing future crops that are highly resilient and adaptable to changing environments to maintain global food security in the next decade. Rigorous selection from long domestication history has rendered cultivated crops genetically disadvantaged, raising concerns in their ability to adapt to these new challenges and limiting their usefulness in breeding programmes. As a result, future crop improvement efforts must rely on integrating various genomic strategies ranging from high-throughput sequencing to machine learning, in order to exploit germplasm diversity and overcome bottlenecks created by domestication, expansive multi-dimensional phenotypes, arduous breeding processes, complex traits and big data.
气候变化和指数级的人口增长,使得人们迫切需要开发未来的作物,这些作物具有高度的弹性和适应性,可以在未来十年内应对不断变化的环境,以维持全球粮食安全。长期的驯化史导致了栽培作物在遗传上处于不利地位,这引发了人们对其适应这些新挑战的能力的担忧,并限制了它们在育种计划中的用途。因此,未来的作物改良工作必须依靠整合各种基因组策略,从高通量测序到机器学习,以利用种质资源的多样性,并克服由驯化、广泛的多维表型、艰苦的育种过程、复杂的性状和大数据所带来的瓶颈。