Waterlogging Effects on Soybean Physiology and Hyperspectral Reflectance during the Reproductive Stage

Adegoye, Grace A.; Olorunwa, Omolayo J.; Alsajri, Firas Ahmed; Walne, Charles Hunt; Wijewandana, Chaturika; Kethireddy, Swatantra R.; Reddy, Krishna N.; Reddy, K. Raja

doi:10.3390/agriculture13040844

Cited by 14 publications

(8 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the visible spectral region, Chla, Chlb and Chls mainly absorb blue, purple and red light, with two strong absorption regions at 400–460 nm and 630–680 nm [ 5 , 8 , 31 , 32 ]. Cars mainly absorbs blue and purple light, which is a strong absorption region at 400–500 nm [ 5 , 10 , 33 , 34 ]. In the near-infrared spectral region, it is mainly caused by the absorption of water or oxygen.…”

Section: Discussionmentioning

confidence: 99%

“…The visible-near infrared hyperspectral imager is a non-contact technology that integrates the spectrum and images, making it a powerful tool for remote sensing imaging, environmental monitoring, agricultural production, medical diagnosis and other fields [ 8 , 9 , 10 , 11 , 12 ]. Visible-near infrared hyperspectral imaging (VNIR–HSI) technology provides an effective method for the quantitative and qualitative analysis of crop growth monitoring, quality detection and nutritional diagnosis into agricultural production.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simultaneous Quantification and Visualization of Photosynthetic Pigments in Lycopersicon esculentum Mill. under Different Levels of Nitrogen Application with Visible-Near Infrared Hyperspectral Imaging Technology

Zhao

Chen

Zhu

et al. 2023

Plants

View full text Add to dashboard Cite

Leaf photosynthetic pigments play a crucial role in evaluating nutritional elements and physiological states. In facility agriculture, it is vital to rapidly and accurately obtain the pigment content and distribution of leaves to ensure precise water and fertilizer management. In our research, we utilized chlorophyll a (Chla), chlorophyll b (Chlb), total chlorophylls (Chls) and total carotenoids (Cars) as indicators to study the variations in the leaf positions of Lycopersicon esculentum Mill. Under 10 nitrogen concentration applications, a total of 2610 leaves (435 samples) were collected using visible-near infrared hyperspectral imaging (VNIR–HSI). In this study, a “coarse–fine” screening strategy was proposed using competitive adaptive reweighted sampling (CARS) and the iteratively retained informative variable (IRIV) algorithm to extract the characteristic wavelengths. Finally, simultaneous and quantitative models were established using partial least squares regression (PLSR). The CARS–IRIV–PLSR was used to create models to achieve a better prediction effect. The coefficient determination (R2), root mean square error (RMSE) and ratio performance deviation (RPD) were predicted to be 0.8240, 1.43 and 2.38 for Chla; 0.8391, 0.53 and 2.49 for Chlb; 0.7899, 2.24 and 2.18 for Chls; and 0.7577, 0.27 and 2.03 for Cars, respectively. The combination of these models with the pseudo-color image allowed for a visual inversion of the content and distribution of the pigment. These findings have important implications for guiding pigment distribution, nutrient diagnosis and fertilization decisions in plant growth management.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simultaneous Quantification and Visualization of Photosynthetic Pigments in Lycopersicon esculentum Mill. under Different Levels of Nitrogen Application with Visible-Near Infrared Hyperspectral Imaging Technology

Zhao

Chen

Zhu

et al. 2023

Plants

View full text Add to dashboard Cite

show abstract

“…It can lead to yield losses of up to 80% [4]. For instance, it decreased soybean yields by 17% and 50% during the vegetative and reproductive stage, respectively [5]. It inhibited the uptake of nutrient, particularly nitrogen and magnesium, leading to negative impacts on soybean growth, metabolism, photosynthesis, and yield [6].…”

Section: Introductionmentioning

confidence: 99%

Comparative Morpho-Physiological, Biochemical, and Gene Expressional Analyses Uncover Mechanisms of Waterlogging Tolerance in Two Soybean Introgression Lines

Sharmin,

Karikari,

Bhuiyan

et al. 2024

Plants

View full text Add to dashboard Cite

Waterlogging is one of the key abiotic factors that severely impedes the growth and productivity of soybeans on a global scale. To develop soybean cultivars that are tolerant to waterlogging, it is a prerequisite to unravel the mechanisms governing soybean responses to waterlogging. Hence, we explored the morphological, physiological, biochemical, and transcriptional changes in two contrasting soybean introgression lines, A192 (waterlogging tolerant, WT) and A186 (waterlogging sensitive, WS), under waterlogging. In comparison to the WT line, waterlogging drastically decreased the root length (RL), shoot length (ShL), root fresh weight (RFW), shoot fresh weight (ShFW), root dry weight (RDW), and shoot dry weight (ShDW) of the WS line. Similarly, waterlogging inhibited soybean plant growth by suppressing the plant’s photosynthetic capacity, enhancing oxidative damage from reactive oxygen species, and decreasing the chlorophyll content in the WS line but not in the WT line. To counteract the oxidative damage and lipid peroxidation, the WT line exhibited increased activity of antioxidant enzymes such as peroxidase (POD), superoxide dismutase (SOD), and catalase (CAT), as well as higher levels of proline content than the WS line. In addition, the expression of antioxidant enzyme genes (POD1, POD2, FeSOD, Cu/ZnSOD, CAT1, and CAT2) and ethylene-related genes (such as ACO1, ACO2, ACS1, and ACS2) were found to be up-regulated in WT line under waterlogging stress conditions. In contrast, these genes showed a down-regulation in their expression levels in the stressed WS line. The integration of morpho-physiological, biochemical, and gene expression analyses provide a comprehensive understanding of the responses of WT and WS lines to waterlogging conditions. These findings would be beneficial for the future development of soybean cultivars that can withstand waterlogging.

show abstract

“…The wet season is characterized by high humidity and heavy rain, with an average annual precipitation of 1,370–2,394 mm ( Lee & Dang, 2019 ), which results in waterlogging during this season. Waterlogging due to high rainfall and poor drainage is the main factor leading to decreased crop production ( Manik et al, 2019 ; Adegoye et al, 2023 ). Moreover, fruit plants become waterlogged over time, leading to increased root rot.…”

Section: Introductionmentioning

confidence: 99%

Effects of the age of raised beds on the physicochemical characteristics of fruit orchard soil in the Vietnamese Mekong Delta

Dang,

Hung

2023

PeerJ

View full text Add to dashboard Cite

To grow fruit plants, farmers in the Vietnamese Mekong Delta (VMD) must use raised bed constructions to avoid waterlogging during the rainy season. This study aimed to evaluate the effects of the age of the raised beds on the soil physicochemical properties of longan orchards located in the VMD. Two raised bed systems were evaluated: a young bed constructed 10 years ago and an old bed constructed 42 years ago. Soil samples were collected from five different soil layers (0–20, 20–40, 40–60, 60–80, and 80–100 cm) with four replicates per layer. Soil samples were tested for pH, electrical conductivity (EC), available phosphorus (AP), total nitrogen (TN), soil organic matter (SOM), exchangeable cations (Ca2+, K+, Mg2+, and Na+), cation exchange capacity (CEC), bulk density (BD), soil porosity, available water-holding capacity (AWC), particle composition (sand, silt, and clay), and size. The soil pH was approximately 1.0 units lower in the old bed compared to the young bed at depths of 0–20 and 20–40 cm. The BD was higher in the old bed (0.15 g cm−3) than in the young bed at a soil depth of 0.4 m. SOM, AP, exchangeable cations (Ca2+, Na+, and Mg2+), AWC, and soil porosity were significantly lower in both the topsoil (0–20 cm) and subsoil (20–40 cm) layers in the old bed than in the young bed. In particular, the SOM, AP, AWC, and soil porosity contents in the old bed decreased by 18%, 20%, 15%, and 17%, respectively, compared with those in the young bed at soil depths of 0–40 cm. Therefore, cultivating raised bed soil for a longer period significantly reduced the soil exchangeable cations, porosity, and fertility of the surface and subsurface soils. Based on these results, farmers should use soil conservation practices, such as cover crops, rice straw mulching, and soil amendments in their orchards to mitigate topsoil degradation.

show abstract

Waterlogging Effects on Soybean Physiology and Hyperspectral Reflectance during the Reproductive Stage

Cited by 14 publications

References 56 publications

Simultaneous Quantification and Visualization of Photosynthetic Pigments in Lycopersicon esculentum Mill. under Different Levels of Nitrogen Application with Visible-Near Infrared Hyperspectral Imaging Technology

Simultaneous Quantification and Visualization of Photosynthetic Pigments in Lycopersicon esculentum Mill. under Different Levels of Nitrogen Application with Visible-Near Infrared Hyperspectral Imaging Technology

Comparative Morpho-Physiological, Biochemical, and Gene Expressional Analyses Uncover Mechanisms of Waterlogging Tolerance in Two Soybean Introgression Lines

Effects of the age of raised beds on the physicochemical characteristics of fruit orchard soil in the Vietnamese Mekong Delta

Contact Info

Product

Resources

About