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用于监测油桃水分状况的植物生物传感器分析

Plant Biosensors Analysis for Monitoring Nectarine Water Status.

作者信息

Conesa María R, Conejero Wenceslao, Vera Juan, Ruiz Sánchez M Carmen

机构信息

Irrigation Department, Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), P.O. Box 164, 30100 Murcia, Spain.

出版信息

Biosensors (Basel). 2024 Nov 30;14(12):583. doi: 10.3390/bios14120583.

Abstract

The real-time monitoring of plant water status is an important issue for digital irrigation to increase water productivity. This work focused on a comparison of three biosensors that continuously evaluate plant water status: trunk microtensiometers (MTs), trunk time-domain reflectometry (TDR), and LVDT sensors. During the summer and autumn seasons (DOY 150-300), nectarine trees were subjected to four different consecutive irrigation periods based on the soil Management Allowed Deficit (MAD) concept, namely: MAD (light deficit); MAD (moderate deficit); MAD (severe deficit), and MAD (full irrigation). Measurements of stem water potential (Ψ) and leaf gas exchange were recorded on representative days. A continuous measurement of the plant water status of Ψ MDS, and K revealed the water deficits imposed on the soil. The highest water deficit observed at the end of the MAD period (Ψ = -2.04 MPa and Ɵ = 17%) resulted in a minimum value of Ψ (-1.81 MPa). The maximum value of MDS (408 µm) was observed earlier than that of Ψ motivated by the low sensitivity of MDS at Ψ < -1.2 MPa and Ψ < -1.5 MPa due to a decrease in the tissue elasticity of the trunk when severe water deficit conditions are reached. Both Ψ and Ψ were more dependent on soil water content, while MDS was more responsive to environmental changes. K was the weakest indicator for determining plant water status, although when expressed as a daily fraction of depletion (KFD), it improved, evidencing a process of hysteresis. Ψ showed the highest sensitivity, suggesting the potential use of MTs as a valuable biosensor for monitoring nectarine water status in digital agrosystems.

摘要

实时监测植物水分状况是数字灌溉提高水分生产率的一个重要问题。这项工作聚焦于对三种能持续评估植物水分状况的生物传感器进行比较:树干微张力计(MTs)、树干时域反射仪(TDR)和线性可变差动变压器(LVDT)传感器。在夏季和秋季(一年中的第150 - 300天),油桃树基于土壤允许亏缺量(MAD)概念经历了四个不同的连续灌溉期,即:MAD(轻度亏缺);MAD(中度亏缺);MAD(重度亏缺)和MAD(充分灌溉)。在代表性的日子记录了茎水势(Ψ)和叶片气体交换的测量值。对Ψ、MDS和K的植物水分状况进行连续测量揭示了施加在土壤上的水分亏缺。在MAD时期结束时观察到的最高水分亏缺(Ψ = -2.04 MPa,Ɵ = 17%)导致Ψ的最小值为(-1.81 MPa)。MDS的最大值(408 µm)比Ψ的最大值更早出现,这是由于当达到严重水分亏缺条件时树干组织弹性下降,导致MDS在Ψ < -1.2 MPa和Ψ < -1.5 MPa时灵敏度较低。Ψ和Ψ都更依赖于土壤含水量,而MDS对环境变化更敏感。K是确定植物水分状况最弱的指标,尽管当表示为每日耗竭分数(KFD)时有所改善,显示出滞后过程。Ψ显示出最高的灵敏度,表明MTs有可能作为一种有价值的生物传感器用于监测数字农业系统中的油桃水分状况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac8/11674555/a2008bb77d36/biosensors-14-00583-g001.jpg

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