A Versatile Phenotyping System and Analytics Platform Reveals Diverse Temporal Responses to Water Availability in Setaria
A Versatile Phenotyping System and Analytics Platform Reveals Diverse Temporal Responses to Water Availability in Setaria
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DOI：
10.1016/j.molp.2015.06.005
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发表时间：
2015-10-05
期刊：
影响因子：
27.5
通讯作者：
Baxter, Ivan
中科院分区：
文献类型：
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作者：
Fahlgren, Noah;Feldman, Maximilian;Baxter, Ivan
表型分析已经成为利用大规模基因组数据来理解和改进农作物的限速步骤。在这里，描述了用于受控环境植物生长和自动化多模式表型分析的领头羊表型分析平台。该系统可容纳1140株植物，每天通过站点记录荧光，近红外和可见光图像。植物计算机视觉（PlantCV）是一种开源的、独立于硬件平台的定量图像分析软件。在为期4周的实验中，野生狗尾草和驯化狗尾草italica有根本不同的时间响应水的可用性。虽然这两条线在有限的水分条件下产生相似的生物量水平，狗尾草在水充足的条件下保持相同的水分利用效率，而狗尾草转移到较低的效率增长。总体而言，领头羊表型平台和PlantCV软件检测到基因型和环境对高度，生物量，水分利用效率，颜色，植物结构和组织水分状况性状的显着影响。在实验过程中获得的所有类似的79 000张图像都是公开的。
Phenotyping has become the rate-limiting step in using large-scale genomic data to understand and improve agricultural crops. Here, the Bellwether Phenotyping Platform for controlled-environment plant growth and automated multimodal phenotyping is described. The system has capacity for 1140 plants, which pass daily through stations to record fluorescence, near-infrared, and visible images. Plant Computer Vision (PlantCV) was developed as open-source, hardware platform-independent software for quantitative image analysis. In a 4-week experiment, wild Setaria viridis and domesticated Setaria italica had fundamentally different temporal responses to water availability. While both lines produced similar levels of biomass under limited water conditions, Setaria viridis maintained the same water-use efficiency under water replete conditions, while Setaria italica shifted to less efficient growth. Overall, the Bellwether Phenotyping Platform and PlantCV software detected significant effects of genotype and environment on height, biomass, water-use efficiency, color, plant architecture, and tissue water status traits. All similar to 79 000 images acquired during the course of the experiment are publicly available.