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首页> 外文期刊>Acta Horticulturae >Fast and non-destructive method for estimating grapevine water status
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Fast and non-destructive method for estimating grapevine water status

机译：用于估算葡萄水状态的快速和非破坏性方法

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Appropriate water management assessment methods in vineyards are critical for modern precision viticulture (PV) practices. In this context, traditional methods used for measuring water status in grapevines are costly and time-consuming. The main objective of this study was to estimate grapevine water status using a fast and nondestructive method. The study focused on the potential of using a handheld spectroscopy sensor for fast and accurate estimation of leaf water potential (LWP). The experiment was conducted at Welgevallen experiment farm of the Department of the Stellenbosch University in a vineyard block 'Pinotage'. Sampling points (n=33) were selected considering the different water conditions presented in the experimental block. LWP and spectral data were measured at midday simultaneously in each sampling point using a digital Scholander pressure chamber and a handheld fluorescence detector fitted with a 405 nm laser excitation source and a USB spectrometer (OceanOptics) with a wavelength response from 200 to 900 nm. The data analysis was carried out using a customised Matlab (R) code and the PLS-Toolbox. A variable selection method with the VIP (variable importance in projection) criteria was used to develop the partial least square (PLS)regression model. Results show a high correlation between the measured LWP and the LWP estimated by the PLS model with a coefficient of determination (R2) in the cross validation of 0.79. The error in the model was low with a root mean square error of cross validation (RMSEcv) of only 0.89 bars. These results show the potential of this method for a fast and non-destructive determination of grapevine water status under field conditions as a tool for decisions making during irrigation scheduling.
机译：葡萄园中的适当水管理评估方法对于现代精密葡萄栽培（PV）实践至关重要。在这种情况下，用于测量葡萄树中水状况的传统方法昂贵且耗时。本研究的主要目的是使用快速和无损方法来估算葡萄水状态。该研究专注于使用手持光谱传感器的电位，以便快速准确地估计叶子水势（LWP）。该实验是在葡萄园块'Pinotage'的斯泰伦博斯大学的Welgevallen实验农场进行。考虑到实验块中提出的不同水条件，选择采样点（n = 33）。在每个采样点中使用数字化学者压力室和配备有405nm激光激发源的手持式荧光检测器和usb光谱仪（Oceanoptics），在每个采样点中同时测量LWP和光谱数据。数据分析使用自定义的MATLAB（R）代码和PLS-Toolbox进行。使用VIP的变量选择方法（投影中的变量重要性）标准用于开发部分最小二乘（PLS）回归模型。结果显示测量的LWP与PLS模型估计的LWP之间的高相关性，其在交叉验证中的确定系数（R2）为0.79。模型中的误差低，具有仅0.89杆的交叉验证的根均方误差（RMSECV）。这些结果表明了这种方法的潜力，用于在灌溉调度期间制定的现场条件下的快速和无损测定葡萄水状况。

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