Effects of Drought Stress on Chlorophyll Fluorescence in Tomato

Zhang, Jia; Liu, Junfang; Zhao, Tingting; Xu, Xiangyang

doi:10.5376/mpb.2017.08.0007

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Water stress results in plants down regulating photosynthetic capacity and increases its ability to respond to salinity stress (Hansen et al., 2013), thus leading to the decrease of chlorophyll content and chlorophyll density (ChD, chlorophyll content per unit land area) in crop leaves (Li et al., 2016). Chlorophyll is a good indicator of plant growth (Wan, Tan, & Zhou, 2006) and its content was within a certain range that directly affected leaf photosynthetic capacity (Zhang, Mao, Sun, Li, & Yu, 2002). The net result of reduced photosynthesis capacity is changed reflectance characteristics (Bioucas‐Dias et al., 2013).…”

Section: Introductionmentioning

confidence: 99%

“…wileyonlinelibrary.com/journal/agj2 3667 good indicator of plant growth (Wan, Tan, & Zhou, 2006) and its content was within a certain range that directly affected leaf photosynthetic capacity (Zhang, Mao, Sun, Li, & Yu, 2002). The net result of reduced photosynthesis capacity is changed reflectance characteristics (Bioucas-Dias et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Hyperspectral monitor on chlorophyll density in winter wheat under water stress

et al. 2020

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Lack of water can lead lower chlorophyll concentrations and yields. Based on the hyperspectral reflectance of winter wheat (Triticum aestivum L.), we analyzed the relationship between the canopy hyperspectral reflectance and the waterstressed winter wheat. The correlation analysis (CA), partial least squares regression (PLSR), and successive progressions algorithm (SPA) were used to extract the important bands. Then the hyperspectral estimation models for chlorophyll density (ChD) by characteristic variables were established. The results showed that the reflectance in the visible regions increased gradually with an increasing water stress. In the near-infrared (NIR) region, reflectance decreased with stress intensity. We extracted five and seven important waveband regions by CA and PLSR. Then we extracted right and nine important bands through SMLR, and 11 important bands were extracted by the method of SPA. We found that 427, 434, 749, and 814 nm contained important information about ChD of winter wheat after water stress. The model established by CA+SMLR was generally realized, whereas the ChD estimation models established by PLSR+SMLR and SPA with multiple linear regression had better performance, and the performance of the validation model was accurate and robust. The results of this study could provide theoretical basis and practical reference for accurate estimation of ChD in winter wheat after water stress.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hyperspectral monitor on chlorophyll density in winter wheat under water stress

et al. 2020

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“…Optimal yield occurs once the soil water content reaches 80% FC, and yield will decline if the soil water content exceeds 80% FC [31]. Thus, the soil water stress threshold is defined as 80% FC [32][33][34]. In this study, we assumed that winter wheat and summer maize were irrigated automatically when the soil water content in the top 60 cm of soil was less than 80% FC.…”

Section: Scenario Simulationsmentioning

confidence: 99%

Hydrologic Simulation of a Winter Wheat–Summer Maize Cropping System in an Irrigation District of the Lower Yellow River Basin, China

Liu

Luo

et al. 2017

Water

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Conflicts between water supply and water demand are intensifying in irrigation districts along the Lower Yellow River due to climate change and human activities. To ensure both adequate food supply and water resource sustainability in China, the Soil and Water Assessment Tool (SWAT) model was used to simulate the water balance and water use of agro-ecosystems in an irrigation district of the lower Yellow River Basin, China. Simulated average annual irrigation requirements decreased from 1969 to 2010. Irrigation requirements during the winter wheat season decreased owing to reduced reference evapotranspiration and increased precipitation. Annual evapotranspiration (ET) increased with increasing irrigation volume, and differences among irrigation scenarios were mainly due to ET of winter wheat. Water deficit typically occurred during winter wheat seasons with less precipitation. Field seepage and surface runoff tended to occur in years with high precipitation, particularly during the summer maize season under full irrigation and scheduled irrigation scenarios. Frequent and heavy irrigation did not always lead to high water use efficiency. To cope with limited water resources in this region, it is necessary to properly irrigate crops based on soil water content and take full advantage of precipitation and surface runoff during the summer maize season.

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Impact of Irrigation Timing and Weed Management Practices on Chlorophyll Content and Morphological Traits of Tomato (Solanum lycopersicum Mill.)

Fawad

Khan

2022

Gesunde Pflanzen

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Effects of Drought Stress on Chlorophyll Fluorescence in Tomato

Cited by 3 publications

References 15 publications

Hyperspectral monitor on chlorophyll density in winter wheat under water stress

Hyperspectral monitor on chlorophyll density in winter wheat under water stress

Hydrologic Simulation of a Winter Wheat–Summer Maize Cropping System in an Irrigation District of the Lower Yellow River Basin, China

Impact of Irrigation Timing and Weed Management Practices on Chlorophyll Content and Morphological Traits of Tomato (Solanum lycopersicum Mill.)

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