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黄瓜(L.)植株的缺磷胁迫:基于选定生理参数和统计分析的早期检测

Phosphorus-deficiency stress in cucumber ( L.) plants: early detection based on chosen physiological parameters and statistical analyses.

作者信息

Sieczko L, Kowalczyk K, Gajc-Wolska J, Kowalczyk W, Dąbrowski P, Borucki W, Janaszek-Mańkowska M, Przybył J L, Mojski J, Kalaji H M

机构信息

Department of Biometry, Institute of Agriculture, Warsaw University of Life Sciences-SGGW, 159 Nowoursynowska Street, 02-776 Warsaw, Poland.

Department of Vegetable and Medicinal Plants, Institute of Horticultural Sciences, Warsaw University of Life Sciences-SGGW, 159 Nowoursynowska Street, 02-776 Warsaw, Poland.

出版信息

Photosynthetica. 2024 Jan 26;62(1):44-57. doi: 10.32615/ps.2024.005. eCollection 2024.

Abstract

Enhancing plant productivity and mitigating the impact of environmental stressors require a thorough understanding of phytomonitoring and physiological features indicative of plant health. This study delves into the response of cucumber plants to phosphorus deficiency employing diverse tools to identify key indicators and unravel the underlying mechanisms. Under phosphorus deficiency, a rapid response in older leaves was observed through the analysis of chlorophyll and carotenoid content. Molecular-level changes in photosynthetic performance were found to be age-dependent, as revealed by multidimensional statistical methods, highlighting the interconnectedness of examined features with the experimental setup timing. This can assist in understanding the long-term fluctuations in traits linked to phosphorus deficiency, facilitating early detection of stress.

摘要

提高植物生产力并减轻环境压力源的影响需要深入了解指示植物健康的植物监测和生理特征。本研究深入探讨了黄瓜植株对磷缺乏的反应,采用多种工具来识别关键指标并揭示潜在机制。通过分析叶绿素和类胡萝卜素含量,发现在磷缺乏情况下,老叶会迅速做出反应。多维统计方法显示,光合性能的分子水平变化与叶片年龄有关,突出了所检测特征与实验设置时间的相互联系。这有助于理解与磷缺乏相关性状的长期波动,便于早期发现胁迫。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d243/11609769/ae635b985d4f/PS-62-1-62044-g001.jpg

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