Dalal Ahan, Bourstein Ronny, Haish Nadav, Shenhar Itamar, Wallach Rony, Moshelion Menachem
The Robert H. Smith Faculty of Agriculture, Food and Environment, Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel.
The Robert H. Smith Faculty of Agriculture, Food and Environment, The Department of Soil and Water Sciences, The Hebrew University of Jerusalem, Rehovot, Israel.
Front Plant Sci. 2019 Jul 17;10:905. doi: 10.3389/fpls.2019.00905. eCollection 2019.
The improvement of crop productivity under abiotic stress is one of the biggest challenges faced by the agricultural scientific community. Despite extensive research, the research-to-commercial transfer rate of abiotic stress-resistant crops remains very low. This is mainly due to the complexity of genotype × environment interactions and in particular, the ability to quantify the dynamic plant physiological response profile to a dynamic environment. Most existing phenotyping facilities collect information using robotics and automated image acquisition and analysis. However, their ability to directly measure the physiological properties of the whole plant is limited. We demonstrate a high-throughput functional phenotyping system (HFPS) that enables comparing plants' dynamic responses to different ambient conditions in dynamic environments due to its direct and simultaneous measurement of yield-related physiological traits of plants under several treatments. The system is designed as one-to-one (1:1) plant-[sensors+controller] units, i.e., each individual plant has its own personalized sensor, controller and irrigation valves that enable (i) monitoring water-relation kinetics of each plant-environment response throughout the plant's life cycle with high spatiotemporal resolution, (ii) a truly randomized experimental design due to multiple independent treatment scenarios for every plant, and (iii) reduction of artificial ambient perturbations due to the immobility of the plants or other objects. In addition, we propose two new resilience-quantifying-related traits that can also be phenotyped using the HFPS: transpiration recovery rate and night water reabsorption. We use the HFPS to screen the effects of two commercial biostimulants (a seaweed extract -ICL-SW, and a metabolite formula - ICL-NewFo1) on under different irrigation regimes. Biostimulants are considered an alternative approach to improving crop productivity. However, their complex mode of action necessitates cost-effective pre-field phenotyping. The combination of two types of treatment (biostimulants and drought) enabled us to evaluate the precision and resolution of the system in investigating the effect of biostimulants on drought tolerance. We analyze and discuss plant behavior at different stages, and assess the penalty and trade-off between productivity and resilience. In this test case, we suggest a protocol for the screening of biostimulants' physiological mechanisms of action.
提高非生物胁迫下作物的生产力是农业科学界面临的最大挑战之一。尽管进行了广泛的研究,但抗非生物胁迫作物从研究到商业转化的比率仍然很低。这主要是由于基因型×环境相互作用的复杂性,特别是量化植物对动态环境的动态生理反应特征的能力。大多数现有的表型分析设施使用机器人技术以及自动图像采集和分析来收集信息。然而,它们直接测量整株植物生理特性的能力有限。我们展示了一种高通量功能表型分析系统(HFPS),由于它能在几种处理下直接并同时测量与产量相关的植物生理性状,从而能够比较植物在动态环境中对不同环境条件的动态反应。该系统设计为一对一(1:1)的植物-[传感器+控制器]单元,即每株植物都有自己的个性化传感器、控制器和灌溉阀,这使得(i)能够在整个植物生命周期内以高时空分辨率监测每株植物与环境相互作用的水分关系动力学,(ii)由于每株植物有多种独立的处理方案,实现真正的随机实验设计,以及(iii)由于植物或其他物体固定不动,减少了人为环境干扰。此外,我们提出了两个与恢复力量化相关的新性状,它们也可以使用HFPS进行表型分析:蒸腾恢复率和夜间水分再吸收。我们使用HFPS筛选两种商业生物刺激剂(一种海藻提取物-ICL-SW和一种代谢物配方-ICL-NewFo1)在不同灌溉制度下对[此处原文缺失具体研究对象]的影响。生物刺激剂被认为是提高作物生产力的一种替代方法。然而,它们复杂的作用模式需要具有成本效益的田间前表型分析。两种处理(生物刺激剂和干旱)的组合使我们能够评估该系统在研究生物刺激剂对耐旱性影响方面的精度和分辨率。我们分析和讨论了不同阶段的植物行为,并评估了生产力和恢复力之间的代价和权衡。在这个测试案例中,我们提出了一种筛选生物刺激剂作用生理机制的方案。