WATER CONTENT VARIATION IN THE HEARTWOOD OF WHITE PINE AND ITS RELATION TO INCIPIENT DECAY

1958 ◽  
Vol 34 (1) ◽  
pp. 48-50 ◽  
Author(s):  
S. N. Linzon
Keyword(s):  
Water Content ◽  
White Pine ◽  
Content Variation

scholarly journals Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yunjeong Yang ◽  
Ji Eun Kim ◽  
Hak Jin Song ◽  
Eun Bin Lee ◽  
Yong-Keun Choi ◽  
...  
Keyword(s):  
Water Content ◽  
Monitoring System ◽  
Standing Wave ◽  
Magnetic Particles ◽  
Experimental Plant ◽  
Invasive Monitoring ◽  
Monitoring Method ◽  
Non Invasive ◽  
Content Variation ◽  
Stem Water

Abstract Background Water content variation during plant growth is one of the most important monitoring parameters in plant studies. Conventional parameters (such as dry weight) are unreliable; thus, the development of rapid, accurate methods that will allow the monitoring of water content variation in live plants is necessary. In this study, we aimed to develop a non-invasive, radiofrequency-based monitoring system to rapidly and accurately detect water content variation in live plants. The changes in standing wave ratio (SWR) caused by the presence of stem water and magnetic particles in the stem water flow were used as the basis of plant monitoring systems. Results The SWR of a coil probe was used to develop a non-invasive monitoring system to detect water content variation in live plants. When water was added to the live experimental plants with or without illumination under drought conditions, noticeable SWR changes at various frequencies were observed. When a fixed frequency (1.611 GHz) was applied to a single experimental plant (Radermachera sinica), a more comprehensive monitoring, such as water content variation within the plant and the effect of illumination on water content, was achieved. Conclusions Our study demonstrated that the SWR of a coil probe could be used as a real-time, non-invasive, non-destructive parameter for detecting water content variation and practical vital activity in live plants. Our non-invasive monitoring method based on SWR may also be applied to various plant studies.

STUDIES IN TREE PHYSIOLOGY: I. GENERAL INTRODUCTION. WATER CONTENTS OF CERTAIN CANADIAN TREES

1939 ◽  
Vol 17c (12) ◽  
pp. 460-482 ◽  
Author(s):  
R. Darnley Gibbs
Keyword(s):  
Water Content ◽  
Populus Tremuloides ◽  
Weather Conditions ◽  
High Water ◽  
High Water Content ◽  
White Pine ◽  
General Introduction ◽  
Very High ◽  
Considerable Loss ◽  
Water Contents

Previous work by the author on the water contents of Canadian trees is reviewed and followed by a brief discussion of questions yet to be answered.In Betula alba v. papyrifera, in at least the young parts of B. alba v. pendula laciniata, in B. populifolia, and in several sizes of Populus tremuloides, there is a marked seasonal rhythm in water content. The maximum is at leaf opening, the minimum at leaf fall. In poplar but not in birch there is a very high water content in December. During winter a considerable loss of water may occur. A winter loss is shown also by the wood of hemlock and larch and by twigs and leaves of white pine and hemlock. Losses from leaves are surprisingly small.The behaviour of B. populifolia has been studied for more than three years, and differences have been correlated with observations on weather conditions. Experimental work on movement of water in this species during winter is inconclusive. This work continues.

Analysis of Bentonite AC and DC Performance Under Water Content and Chemical Content Variation for Grounding Applications

2021 ◽  
Author(s):  
Zakka Izzatur Rahman Noor ◽  
Bambang Anggoro Soedjarno P ◽  
Pradita Octoviandiningrum Hadi
Keyword(s):  
Water Content ◽  
Content Variation ◽  
Chemical Content

Characteristics of soil temperature and water content variation in the western Qilian Mountains

2018 ◽  
Vol 38 (1) ◽  
Author(s):  
车宗玺 CHE Zongxi ◽  
李进军 LI Jinjun ◽  
汪有奎 WANG Youkui ◽  
丁国民 DING Guoming ◽  
李世霞 LI Shixia ◽  
...  
Keyword(s):  
Soil Temperature ◽  
Water Content ◽  
Qilian Mountains ◽  
Content Variation
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