Rapid Estimation of Water Stress in Choy Sum ( Brassica chinensis var. parachinensis ) Using Integrative Approach.

Abstract

To optimize crop water consumption and adopt water-saving measures such as precision irrigation, early identification of plant water status is critical. This study explores the effectiveness of estimating water stress in choy sum ( Brassica chinensis var. parachinensis ) grown in pots in greenhouse conditions using Crop Water Stress Index (CWSI) and crop vegetation indicators to improve irrigation water management. Data on CWSI and Spectral reflectance were collected from choy sum plants growing in sandy loam soil with four different soil field capacities (FC): 90-100% FC as no water stress (NWS); 80-90% FC for light water stress (LWS); 70-80% FC for moderate water stress (MWS); and 60-70% FC for severe water stress (SWS). With four treatments and three replications, the experiment was set up as a completely randomized design (CRD). Throughout the growing season, plant water stress tracers such as leaf area index (LAI), canopy temperature (Tc), leaf relative water content (LRWC), leaf chlorophyll content, and yield were measured. Furthermore, CWSI estimated from the Workswell Wiris Agro R Infrared Camera (CWSI W ) and spectral data acquisition from the Analytical Spectral Device on choy sum plants were studied at each growth stage. NDVI, Photochemical Reflectance Index positioned at 570 nm (PRI570), normalized PRI (PRInorm), Water Index (WI), and NDWI were the Vegetation indices (VIs) used in this study. At each growth stage, the connections between these CWSI W , VIs, and water stress indicators were statistically analyzed with R 2 greater than 0.5. The results revealed that all VIs were valuable guides for diagnosing water stress in choy sum. CWSI W obtained from this study showed that Workswell Wiris Agro R Infrared Camera mounted on proximal remote sensing platform for assessing water stress in choy sum plant was rapid, non-destructive, and user friendly. Therefore, integrating CWSI W and VIs approach gives a more rapid and accurate approach for detecting water stress in choy sum grown under greenhouse conditions to optimize yield by reducing water loss and enhancing food security and sustainability.

Plant phenotyping relevance

赤外線カメラによるCWSIと分光反射指数を用いた植物の水ストレス推定が研究の中心であり、非破壊的な表現型取得法の有効性を評価している。

Code and data availability

The article describes greenhouse phenotyping of choy sum (CWSI from thermal imaging, spectral reflectance, root morphology) but contains no data availability statement, no public dataset or image deposit, and no author code/model release. The only URL present is the standard CC BY license link, which is not a paper-pec

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