Chin Bull Bot ›› 2018, Vol. 53 ›› Issue (3): 353-363.doi: 10.11983/CBB17051

Special Issue: Medicinal Plant

• TECHNIQUES AND METHODS • Previous Articles     Next Articles

A Tentative Method for Monitoring the Dynamic Features of Transpiration Regulation in Ferula krylovii Leaves

Zhang Ping1, Hao Xiuying2, Yu Ruifeng1, Zhou Hongmei1, Zhu Jianjun1   

  1. 1College of Life Sciences, Ludong University, Yantai 264025, China
    2Institute of Applied Microbiology, Xinjiang Academy of Agricultural Sciences, Urumqi 830001, China
  • Received:2017-03-14 Accepted:2017-06-20 Online:2018-09-11 Published:2018-05-01

Abstract:

The transpirational dynamics and regulation features in leaves of Ferula krylovii grown in a desert area of Xinjiang, China were monitored, recorded and analysed systematically with a high-sensitivity humidity sensor combined with a specific leaf chamber and other types of sensors. The results were compared with those from other methods such as photosynthetic meters or weighing. Parameters associated with fast regulation (within 1-2 min) and diurnal variations in transpiration rate were clearly monitored and recorded. The parameters obtained could be used to analyse the correlations between transpiration and the effect of changes in environmental factors such as temperature, light intensity, and humidity to uncover more details on the transpirational dynamics and regulation features of a plant, details that other methods are unable to provide. Because larger samples could be measured with this method, the disadvantages of other methods could be excluded, such as errors due to the selection of the local sampling site, systematic errors due to smaller gas samples, and possible mechanical stress due to the clamp of the leaf chamber. This method, combined with other types of sensors, could yield parameters that cover more extensively the transpirational water consumption and regulation of plants under varied environmental conditions and provide a more detailed dynamic perspective of plants in their adaptation to environments, with the possibility of remote, continuous monitoring.

Key words: sensors, temperature and humidity monitoring, Ferula krylovii, stomata regulation, transpiration dynamics

Figure 1

A planar schematic illustration (A) and the leaf chamber (B, C) specially designed for Ferula krylovii"

Figure 2

The diurnal variations in air temperature (A), relative humidity (B), and the differential humidity (the difference between the saturation humidity and the air humidity) (B)"

Figure 3

The recorded dynamic curves and the corresponding theoretical simulated curve of transpiration rate in Ferula krylovii from 9:00 am to 13:00 pm (local time 7:00 to 11:00 am) in the morning (in comparison with the evaporation curve of free water surface)(A) The evaporation curve and the corresponding theoretical simulated curve of free water surface; (B)-(F) The actual measured curves of the leaves and the corresponding theoretical simulated curve"

Figure 4

The recorded dynamic curves and their corresponding theoretical simulated curves of the transpiration rate in Ferula krylovii leaves in the afternoon(A)-(D) Curves from14:00 to 18:00 pm (local time 12:00 to 16:00 pm); (E), (F) Curves from 19:00-20:00 (local time 17:00-18:00 pm)"

Figure 5

The diurnal variations in the transpiration rate of Ferula krylovii leaves(A) The results of humidity sensors; (B) The results of a TPS-2 portable photosynthesis system; (C) The diurnal variations results of humidity sensors in the transpiration rate in Ferula krylovii normalized to 65% relative humidity"

Figure 6

The transpiration rate of Ferula krylovii in situ leaves (A) and the ratio of the optimal transpiration rate whereby the root resistance to water absorption was eliminated (B)"

Figure 7

The regression curves on the relationship between the transpiration rate of Ferula krylovii leaves to the light intensity (A), relative humidity (B) and temperature (C)"

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