Fahlgren Noah, Gehan Malia A, Baxter Ivan
Donald Danforth Plant Science Center, United States.
USDA-ARS, Donald Danforth Plant Science Center, United States.
Curr Opin Plant Biol. 2015 Apr;24:93-9. doi: 10.1016/j.pbi.2015.02.006. Epub 2015 Feb 27.
Anticipated population growth, shifting demographics, and environmental variability over the next century are expected to threaten global food security. In the face of these challenges, crop yield for food and fuel must be maintained and improved using fewer input resources. In recent years, genetic tools for profiling crop germplasm has benefited from rapid advances in DNA sequencing, and now similar advances are needed to improve the throughput of plant phenotyping. We highlight recent developments in high-throughput plant phenotyping using robotic-assisted imaging platforms and computer vision-assisted analysis tools.
预计下个世纪的人口增长、人口结构变化以及环境变化将威胁全球粮食安全。面对这些挑战,必须使用更少的投入资源来维持和提高粮食及燃料作物的产量。近年来,用于作物种质分析的基因工具受益于DNA测序技术的快速发展,现在需要类似的进展来提高植物表型分析的通量。我们重点介绍了使用机器人辅助成像平台和计算机视觉辅助分析工具进行高通量植物表型分析的最新进展。