Unverified paper record
Design, development, and assessment of a High-Throughput Screening (HTS) system for the macroscopic root water uptake modeling
Computers and Electronics in Agriculture. · 1 Aug 2023
Abstract
Climate change is responsible for the increasing frequency and intensity of abiotic stresses generating water scarcity conditions. There is a need to breed plants adapted to future environmental conditions and resistant to water stress. This study presents a High-Throughput Screening (HTS) system for continuously and simultaneously monitoring plant stress response to drought in a semi-controlled environment. The HTS system combines a gravimetric weighing system with soil moisture and atmospheric sensors. In operative terms, the system was tested on the Sage (Salvia officinalis L.) under two soil water deficit treatments managed according to a feedback control irrigation scheduling. The system was able to model the sage water stress function following the root water uptake macroscopic approach. The threshold of soil water status below which crop water stress occurred was also identified. The gravimetric-based daily evapotranspiration (ETₐ) and the time domain reflectometry (TDR)-based root water-uptake (RWU) rates showed a high correlation during the drying when the evaporation flux is minimal. Moreover, the effects of soil bulk density on the root density and the plant biomass were evaluated, indicating the importance of carrying out a homogeneous procedure of the pot-filling process.
Plant phenotyping relevance
植物の乾燥ストレス応答と根の吸水を連続・同時測定するHTSシステムを開発し、センサー測定とモデル化を評価しており、表現型取得法が研究の中心である。
abstractThis study presents a High-Throughput Screening (HTS) system for continuously and simultaneously monitoring plant stress response to drought in a semi-controlled environment.
abstractThe HTS system combines a gravimetric weighing system with soil moisture and atmospheric sensors.
abstractThe system was able to model the sage water stress function following the root water uptake macroscopic approach.
Code and data availability
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