Vurro Filippo, Croci Michele, Impollonia Giorgio, Marchetti Edoardo, Gracia-Romero Adrian, Bettelli Manuele, Araus José Luis, Amaducci Stefano, Janni Michela
Istituto dei Materiali per l'Elettronica e il Magnetismo (IMEM-CNR), Parco Area delle Scienze 37/A, 43124 Parma, Italy.
Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.
Plants (Basel). 2023 Nov 14;12(22):3851. doi: 10.3390/plants12223851.
Monitoring plant growth and development during cultivation to optimize resource use efficiency is crucial to achieve an increased sustainability of agriculture systems and ensure food security. In this study, we compared field monitoring approaches from the macro to micro scale with the aim of developing novel in vivo tools for field phenotyping and advancing the efficiency of drought stress detection at the field level. To this end, we tested different methodologies in the monitoring of tomato growth under different water regimes: (i) micro-scale (inserted in the plant stem) real-time monitoring with an organic electrochemical transistor (OECT)-based sensor, namely a bioristor, that enables continuous monitoring of the plant; (ii) medium-scale (<1 m from the canopy) monitoring through red-green-blue (RGB) low-cost imaging; (iii) macro-scale multispectral and thermal monitoring using an unmanned aerial vehicle (UAV). High correlations between aerial and proximal remote sensing were found with chlorophyll-related indices, although at specific time points (NDVI and NDRE with GGA and SPAD). The ion concentration and allocation monitored by the index R of the bioristor during the drought defense response were highly correlated with the water use indices (Crop Water Stress Index (CSWI), relative water content (RWC), vapor pressure deficit (VPD)). A high negative correlation was observed with the CWSI and, in turn, with the RWC. Although proximal remote sensing measurements correlated well with water stress indices, vegetation indices provide information about the crop's status at a specific moment. Meanwhile, the bioristor continuously monitors the ion movements and the correlated water use during plant growth and development, making this tool a promising device for field monitoring.
在种植过程中监测植物生长发育以优化资源利用效率,对于提高农业系统的可持续性和确保粮食安全至关重要。在本研究中,我们比较了从宏观到微观尺度的田间监测方法,旨在开发用于田间表型分析的新型体内工具,并提高田间干旱胁迫检测的效率。为此,我们在不同水分条件下测试了监测番茄生长的不同方法:(i)使用基于有机电化学晶体管(OECT)的传感器,即生物晶体管,在微观尺度(插入植物茎中)进行实时监测,该传感器能够连续监测植物;(ii)通过红-绿-蓝(RGB)低成本成像在中观尺度(距冠层<1米)进行监测;(iii)使用无人机进行宏观尺度的多光谱和热监测。尽管在特定时间点(NDVI和NDRE与GGA和SPAD),发现叶绿素相关指数在航空遥感和近端遥感之间具有高度相关性。生物晶体管的指数R在干旱防御反应期间监测的离子浓度和分配与水分利用指数(作物水分胁迫指数(CSWI)、相对含水量(RWC)、水汽压差(VPD))高度相关。观察到与CWSI呈高度负相关,进而与RWC呈高度负相关。尽管近端遥感测量与水分胁迫指数相关性良好,但植被指数提供了作物在特定时刻的状态信息。同时,生物晶体管在植物生长发育过程中持续监测离子运动和相关的水分利用,使该工具成为一种有前景的田间监测设备。