Leaf Pigment Content Research Articles

Quantitative trait loci mapping and genomic selection for leaf-related traits in a ‘Luli’ × ‘Red No. 1’ apple hybrid population

Apple (Malus spp.) is a widely cultivated economic crop. Leaf-related traits, such as leaf size, pigment content, and photosynthetic rate, serve as important indicators of light use efficiency and are associated with apple fruit quality and potential yields. Identifying quantitative trait loci (QTLs) and genes related to these traits is essential for plant breeding. Genomic selection (GS) presents a promising approach, particularly for improving leaf-related traits in apples. This study focused on identifying QTLs and associated genes, and evaluating the use of GS for leaf-related traits in apples. By genotyping an F1 population (‘Luli’ × ‘Red No. 1’) and constructing a high-density linkage map with 3,759 bin markers, 69 QTLs related to leaf traits were identified, explaining 10.4∼17.8% of the phenotypic variance. Forty-six candidate genes were predicted from these QTLs, resulting in 14, 14, 13, and 5 genes for leaf size, pigment content, photosynthetic rate, and fast chlorophyll fluorescence parameters, respectively. The study also assessed the accuracy of GS prediction for leaf traits using genome-wide markers and QTL interval markers through a 10-fold cross-validation. Results indicated that ridge regression BLUP (RR-BLUP) and gradient boosting decision tree (GBDT) methods using QTL interval SNP markers demonstrated higher prediction accuracies compared to whole genome markers for most traits, suggesting the feasibility of employing QTL interval markers for GS prediction. Notably, all models provided valuable genome prediction results with 4K markers or when the training population represented 80% of the total population. These findings significantly contribute to gene discovery and genetic improvement efforts related to leaf traits while highlighting the potential utility of GS in accelerating apple breeding programs.

Photosynthetic response of Solidago gigantea Aition and Calamagrostis epigejos L. (Roth) to complex environmental stress on heavy metal contaminated sites

Studies of in situ plant response and adaptation to complex environmental stresses, are crucial for understanding the mechanisms of formation and functioning of ecosystems of anthropogenically transformed habitats. We study short- and long-term responses of photosynthetic apparatus (PSA) and anti-oxidant capacity to complex abiotic stresses of common plants Calamagrostis epigejos and Solidago gigantea in semi-natural (C) and heavy metal contaminated habitats (LZ). We found significant differences in leaf pigment content between both plant species growing on LZ plots and their respective C populations. The average values of leaf chlorophyll indexes were 27% lower in the LZ populations of both species and significantly lower in Sg plants in comparison to Ce ones. The average values of the anthocyanin index in CeLZ and SgLZ populations were significantly higher (by 18%) than in their respective controls. In both Ce and Sg plants occurring on LZ plots, the average leaf flavonol indexes were higher than on their controls by 31% and 15% and this index was significantly higher in SgLZ population than CeLZ and CeC plants (by 34% and 54%, respectively). Both Ce and Sg populations growing on LZ plots showed significantly lower photosynthetic rate (A), transpiration rate (E) and stomatal conductance (gs) in comparison to controls. On the other hand, a significantly higher photosynthetic rate was detected in SgLZ than in CeLZ populations. The catalase activities were significantly higher than recorded in Sg than in Ce tissues, irrespective of the plot type. They were also higher in LZ populations than those in controls for both species. Moreover, the H2O2 content in Sg tissues was significantly higher than those in Ce. Hydrogen peroxide content in CeLZ and SgLZ were respectively 39% (non-significant) and 57% higher, compared to their controls. The reverse pattern was found in the case of MDA, whose concentration was significantly higher in the leaves of Ce population compared to the control population. The average MDA concentration in CeLZ populations was 17% higher than in the CeC. In the case of Sg no significant differences were found. Mechanisms of plant species adaptation to industrial areas are crucial for species selection and planning effective reclamation of them. The analysis of chlorophyll fluorescence induction curves as well as well as the results of JIP test revealed the decreased of Fj value despite positive ΔK–band in SgLZ and CeLZ plants suggesting the increased rate of electron transfer from QA to QB at the acceptor side of PSII, thus a high quantity of P680+ and/or effective quenching by exogenous molecules. The increase in the I–P part of the induction curve typically attributed to the reduction of electron transporters (ferredoxin, intermediary acceptors, and NADP) of the PSI acceptor side was observed in both SgC and SgLZ but not in CeLZ populations. These changes demonstrate species-specific effects on electron transport during the light phase of photosynthesis under complex environmental stress. Our results show that Sg and Ce individuals developed a range of structural and functional adaptations to protect PSA against complex environmental stresses (possible combination of heavy metals, water deficiency, temperature, nutrient deficiency and salinity). Both species from LZ plots could tolerate high levels of Cd, Zn and Pb in leaf tissues. Therefore they can be potential candidates for use in phytoremediation of HM contaminated areas. However, further long-term field and experimental research on plant traits response and adaptation to complex environmental stresses on industrial habitats are needed.

The Ameliorative Effect of Coumarin on Copper Toxicity in Citrus sinensis: Insights from Growth, Nutrient Uptake, Oxidative Damage, and Photosynthetic Performance.

Excessive copper (Cu) has become a common physiological disorder restricting the sustainable production of citrus. Coumarin (COU) is a hydroxycinnamic acid that can protect plants from heavy metal toxicity. No data to date are available on the ameliorative effect of COU on plant Cu toxicity. 'Xuegan' (Citrus sinensis (L.) Osbeck) seedlings were treated for 24 weeks with nutrient solution containing two Cu levels (0.5 (Cu0.5) and 400 (Cu400) μM CuCl2) × four COU levels (0 (COU0), 10 (COU10), 50 (COU50), and 100 (COU100) μM COU). There were eight treatments in total. COU supply alleviated Cu400-induced increase in Cu absorption and oxidative injury in roots and leaves, decrease in growth, nutrient uptake, and leaf pigment concentrations and CO2 assimilation (ACO2), and photo-inhibitory impairment to the whole photosynthetic electron transport chain (PETC) in leaves, as revealed by chlorophyll a fluorescence (OJIP) transient. Further analysis suggested that the COU-mediated improvement of nutrient status (decreased competition of Cu2+ with Mg2+ and Fe2+, increased uptake of nutrients, and elevated ability to maintain nutrient balance) and mitigation of oxidative damage (decreased formation of reactive oxygen species and efficient detoxification system in leaves and roots) might lower the damage of Cu400 to roots and leaves (chloroplast ultrastructure and PETC), thereby improving the leaf pigment levels, ACO2, and growth of Cu400-treated seedlings.

The Inversion of Rice Leaf Pigment Content: Using the Absorption Spectrum to Optimize the Vegetation Index

The pigment content of rice leaves plays an important role in the growth and development of rice. The accurate and rapid assessment of the pigment content of leaves is of great significance for monitoring the growth status of rice. This study used the Analytical Spectra Device (ASD) FieldSpec 4 spectrometer to measure the leaf reflectance spectra of 4 rice varieties during the entire growth period under 4 nitrogen application rates and simultaneously measured the leaf pigment content. The leaf’s absorption spectra were calculated based on the physical process of spectral transmission. An examination was conducted on the variations in pigment composition among distinct rice cultivars, alongside a thorough dissection of the interrelations and distinctions between leaf reflectance spectra and absorption spectra. Based on the vegetation index proposed by previous researchers in order to invert pigment content, the absorption spectrum was used to replace the original reflectance data to optimize the vegetation index. The results showed that the chlorophyll and carotenoid contents of different rice varieties showed regular changes during the whole growth period, and that the leaf absorption spectra of different rice varieties showed more obvious differences than reflectance spectra. After replacing the reflectance of pigment absorptivity-sensitive bands (400 nm, 550 nm, 680 nm, and red-edge bands) with absorptivities that would optimize the vegetation index, the correlation between the vegetation index, which combines absorptivity and reflectivity, and the chlorophyll and carotenoid contents of 4 rice varieties during the whole growth period was significantly improved. The model’s validation results indicate that the pigment inversion model, based on the improved vegetation index using absorption spectra, outperforms the traditional vegetation index-based pigment inversion model. The results of this study demonstrate the potential application of absorption spectroscopy in the quantitative inversion of crop phenotypes.

Changes of Photosynthetic Parameters in Melatonin-Treated Wheat Subjected to Drought.

Drought stress affects many aspects of plant biochemistry, with photosynthesis being one the most significantly impaired physiological processes. Melatonin is a natural antioxidant with growth-regulating properties in plants. Its diverse physiological functions have been extensively studied in recent decades. Changes in leaf gas exchange and chlorophyll a fluorescence parameters were investigated in young wheat plants (Triticum aestivum L.) cv. Fermer and cv. Gines which were characterized to differ in their responses to drought, with cv. Gines being more tolerant than cv. Fermer. The plants were subjected to drought for five days by withholding their water supply. Melatonin was applied as a root supplement to the irrigation water before or after the drought period. Analyses were performed before and at the end of the stress period, as well as during the recovery phase. Changes in leaf pigment content, photosynthetic rate, stomatal conductance, and transpiration, as well as some chlorophyll a fluorescence parameters, were recorded. Melatonin alone did not cause considerable changes in the measured traits. We found a significant decrease in leaf gas exchange parameters, Fv/Fm and Fv/F0 values, and leaf pigments due to drought, especially in cv. Fermer. The data show that the application of melatonin favorably influenced the efficiency of the photosynthetic apparatus under water deprivation and during plant recovery. The pre-treatment with melatonin maintained the photosynthesis-related parameters closer to the control levels during the stress period. Both melatonin treatments supported the recovery of photosynthesis when the water supply was restored and the post-drought treatment showed a similar but weaker effect than pre-drought treatment.

Effect of GA3 Spraying on the Physiological and Biochemical Indexes of Aglaonema under Drought Treatment

GA3 is a common plant growth regulator used in production that can accelerate plant metabolism and significantly enhance the plant growth rate. We investigated the effects of exogenous GA3 on the physiological and biochemical indexes of Aglaonema under drought treatment. The effects of exogenous GA3 on the plant height, leaf blight rate, antioxidant enzyme activity, leaf pigment, and malondialdehyde content of Aglaonema were evaluated using Aglaonema ‘Red Ruyi’ as the test material and simulating natural drought treatment in nutrient soil pots. The spraying of exogenous GA3 significantly increased superoxide dismutase and peroxidase enzyme activities, promoted the accumulation of soluble sugars, reduced the accumulation of malondialdehyde, and slowed the decline of chlorophyll and carotenoids, which had good effects such as the reduction of the leaf wilting rate and increase in the plant height as well as the maintenance of the plant shape to maintain the ornamental appearance. The growth indexes such as plant height and wilting rate were mainly influenced by the changes of the leaf pigment and physiological and biochemical indexes of malondialdehyde.

Silver Nanoparticles Reduce Anthracnose Severity and Promote Growth of Bean Plants (Phaseolus vulgaris)

The present study aimed to evaluate the effect of silver nanoparticles (AgNPs) on the development of Colletotrichum lindemuthianum, the progression of anthracnose symptoms, and the growth of common bean plants. For this purpose, the fungal mycelial growth and conidial germination were assessed at AgNP concentrations of 0, 10, 30, and 50 mg·L−1 after seven days of incubation, as well as at 0, 0.1, 0.5, 1, 10, 30, and 50 mg·L−1 after 72 h, respectively. Bean plants of the IPR Uirapuru cultivar were sprayed at the V3 growth stage with AgNPs at 0, 10, 30, or 50 mg·L−1, either two days before, on the day of, or two days after inoculation. Conidial germination and appressoria melanization were measured on the leaf discs collected 24, 48, and 72 h after inoculation, and disease severity was assessed at 7 and 12 days post-inoculation. Another set of bean plants grown under the same conditions was used to evaluate growth promotion by AgNPs. For this, the plants were sprayed twice (with a seven-day interval), starting at the V3 growth stage, with AgNPs at 0, 10, 30, or 50 mg·L−1. Seven days after the second treatment, plant length and the fresh and dry weights of shoots and roots were measured, and the foliar pigments were quantified. The AgNPs did not reduce mycelial growth but completely inhibited the germination of C. lindemuthianum conidia. The severity of anthracnose decreased with the AgNPs in a dose- and application time-dependent manner, with the highest reduction (90%) observed when applied on the same day as an inoculation at 50 mg·L−1. This was strongly linked to a 70% decline in conidia germination and appressorium melanization on bean leaves. AgNPs at 50 mg·L−1 promoted plant growth by increasing the total length by 3%, as well as the fresh weights of bean shoots and roots by 17% and 90%, respectively, but did not affect the content of leaf pigments.

Comparing methods for solar-induced fluorescence efficiency estimation using radiative transfer modelling and airborne diurnal measurements of barley crops

Ability of remotely sensed solar-induced chlorophyll fluorescence (SIF) to serve as a vegetation productivity and stress indicator is impaired by confounding factors, such as varying crop-specific canopy structure, changing solar illumination angles, and SIF-soil optical interactions. This study investigates two normalisation approaches correcting diurnal top-of-canopy SIF observations retrieved from the O2-A absorption feature at 760 nm (F760 hereafter) of summer barley crops for these confounding effects. Nadir SIF data was acquired over nine breeding experimental plots simultaneously by an airborne imaging spectrometer (HyPlant) and a drone-based high-performance point spectrometer (AirSIF). Ancillary measurements, including leaf pigment contents retrieved from drone hyperspectral imagery, destructively sampled leaf area index (LAI), and leaf water and dry matter contents, were used to test the two normalisation methods that are based on: i) the fluorescence correction vegetation index (FCVI), and ii) three versions of the near-infrared reflectance of vegetation (NIRV). Modelling in the discrete anisotropic radiative transfer (DART) model revealed close matches for NIRv-based approaches when corrected canopy SIF was compared to simulated total chlorophyll fluorescence emitted by leaves (R2 = 0.99). Normalisation with the FCVI also performed acceptably (R2 = 0.93), however, it was sensitive to variations in LAI when compared to leaf emitted chlorophyll fluorescence efficiency. Based on the results modelled in DART, the NIRvH1 normalisation was found to have a superior performance over the other NIRv variations and the FCVI normalisation. Comparison of the SIF escape fractions suggests that the escape fraction estimated with NIRvH1 matched escape fraction extracted from DART more closely. When applied to the experimental drone and airborne nadir canopy SIF data, the agreement between NIRvH1 and FCVI produced chlorophyll fluorescence efficiency was very high (R2 = 0.93). Nevertheless, NIRvH1 showed higher uncertainties for areas with low vegetation cover indicating an unaccounted contribution of SIF-soil interactions. The diurnal courses of chlorophyll fluorescence efficiency for both approaches differed not significantly from simple normalisation by incoming and apparent photosynthetically active radiation. In conclusion, SIF normalisation with NIRvH1 more accurately compensates the effects of canopy structure on top of canopy far red SIF, but when applied to top of canopy in-situ data of spring barley, the effects of NIRvH1 and FCVI on the diurnal course of SIF had a similar influence.

Leveraging leaf spectroscopy to identify drought-tolerant soybean cultivars

Understanding cultivars' physiological traits variations under abiotic stresses is critical to improve phenotyping and selections of resistant crop varieties. Traditional methods of accessing physiological traits in plants are costly and time consuming, which prevents their use in breeding programs. Spectroscopy data and statistical approaches such as partial least square regression could be applied to rapidly collect and predict several physiological parameters at leaf-level, allowing phenotyping several genotypes in a high-throughput manner. We collected spectroscopy data of twenty soybean cultivars planted under well-watered and drought conditions during the reproductive phase. At 20 days after drought was imposed, we measured leaf pigments content (chlorophyll a and b, and carotenoids), specific leaf area, electrons transfer rate, and photosynthetic active radiation. At 28 days after drought imposition, we measured leaf pigments content, specific leaf area, relative water content, and leaf temperature. Partial least square regression models accurately predicted leaf pigments content, specific leaf area, and leaf temperature (cross-validation R2 ranging from 0.56 to 0.84). Discriminant analysis using 54 wavelengths was able to select the best-performance cultivars regarding all evaluated physiological traits. We showed the great potential of using spectroscopy as a feasible, non-destructive, and accurate method to estimate physiological traits and screening of superior genotypes.

Light curve parametrization of three rice (Oryza sativa L.) cultivars based on mechanistic models.

This study aimed to assess variations in leaf gas-exchange characteristics, leaf pigment contents, and some intrinsic traits of photosynthetic pigment molecules in three rice cultivars (cv. JR3015, Wufengyou3015, and Jifengyou3015) using mechanistic models. The findings revealed that chlorophyll content varied significantly among the three cultivars, but not maximum electron transport rate. JR3015 had lower chlorophyll content but the highest eigen-absorption cross-section (σik) and the lowest minimum average life-time of photosynthetic pigment molecules in the excited state (τmin). Our results suggested that the highest σik and the lowest τmin in JR3015 facilitated its electron transport rate despite its lower leaf chlorophyll content. Furthermore, compared to Jifengyou3015 and Wufengyou3015, JR3015 had the lowest photosynthetic electron-use efficiency via PSII, which contributed to its lowest maximum net photosynthetic rate. These findings are important in selecting rice cultivars based on their differences in photosynthetic capacity.

Measuring standardized functional leaf traits of aquatic carnivorous plants – challenges and opportunities

Aquatic carnivorous plants (ACP) are an important component of humic nutrient-poor freshwater environments. However, these habitats are facing multiple impacts that ultimately lead to habitat degradation and declining ACP populations. Functional traits, particularly those within the leaf economics spectrum, are a valuable tool for studying plant adaptation strategies and plasticity. Given their unique morphological structure, ACP are essentially excluded from functional comparisons, which potentially limits our knowledge about the ecological roles of these species compared to non-carnivorous ones. In this study, we developed a protocol for measuring the leaf functional traits of ACP (leaf fresh and dry weight, leaf area, leaf dry matter content, specific leaf area, leaf pigment content, leaf phosphorus, nitrogen and carbon contents), and carnivory-related traits (number of traps and investment in carnivory). We measured 15 traits in seven ACP species (Aldrovanda vesiculosa, Utricularia australis, U. bremii, U. intermedia, U. ochroleuca, U. stygia, U. vulgaris), grown in the outdoor collection of aquatic and wetland plants of the Institute of Botany CAS at Třeboň, the Czech Republic. We used the functional traits of other macrophyte groups/species (lemnids, Nuphar lutea, Ceratophyllum demersum), collected with a similar methodology, to assess the comparability of ACP traits. We identified the “functional unit”, a modular structure, including one leaf node, plus an internode, which performs the function of a leaf in ACP, and selected its position along the stem to reflect species-specific growth rates. We collected 714 new trait records for the target ACP. Based on a multivariate trait space representation (PCA), ACP were distinct from the other macrophyte groups/species, which highlights these species’ structural and physiological peculiarities. Nonetheless, ACP entirely overlapped the comparison data along the first PCA axis, and most of the traits lay within the ranges observed for other macrophyte groups/species, which demonstrates the comparability of the ACP traits measured by the new protocol. Applying this protocol in ecological studies could shed light on the adaptations of ACP to environmental variability, with important conservation implications.

Modification of The Spectrophotometric Analysis Protocol by Sims D. and Gamon to Analyze Leaf Pigment Content using Green Spinach (Amaranthus hybridus) as a Model Plant

Modification of The Spectrophotometric Analysis Protocol by Sims D. and Gamon to Analyze Leaf Pigment Content using Green Spinach (Amaranthus hybridus) as a Model Plant

Vanadium toxicity was alleviated by supplementation of silicon in tomato seedlings: Upregulating antioxidative enzymes and glyoxalase system

The primary goal of this research is to investigate the mitigating effect of silicon (Si; 2 mM) on the growth of tomato seedlings under vanadium (V; 40 mg) stress. V stress caused higher V uptake in leaf, and enhanced concentration of leaf anthocyanin, H2O2, O2•−, and MDA, but a decreased in plant biomass, root architecture system, leaf pigments content, mineral elements, and Fv/Fm (PSII maximum efficiency). Si application increased the concentrations of crucial antioxidant molecules such as AsA and GSH, as well as the action of key antioxidant enzymes comprising APX, GR, DHAR, and MDHAR. Importantly, oxidative damage was remarkably alleviated by upregulation of these antioxidant enzymes genes. Moreover, Si application enhanced the accumulation of secondary metabolites as well as the expression their related-genes, and these secondary metabolites may restricted the excessive accumulation of H2O2. In addition, Si rescued tomato plants against the damaging effects of MG by boosting the Gly enzymes activity. The results confirmed that spraying Si to plants might diminish the V accessibility to plants, along with promotion of V stress resistance.

Leaf Traits Explain the Growth Variation and Nitrogen Response of Eucalyptus urophylla × Eucalyptus grandis and Dalbergia odorifera in Mixed Culture.

Mixed cultivation with legumes may alleviate the nitrogen (N) limitation of monoculture Eucalyptus. However, how leaf functional traits respond to N in mixed cultivation with legumes and how they affect tree growth are unclear. Thus, this study investigated the response of leaf functional traits of Eucalyptus urophylla × Eucalyptus grandis (E. urophylla × E. grandis) and Dalbergia odorifera (D. odorifera) to mixed culture and N application, as well as the regulatory pathways of key traits on seedling growth. In this study, a pot-controlled experiment was set up, and seedling growth indicators, leaf physiology, morphological parameters, and N content were collected and analyzed after 180 days of N application treatment. The results indicated that mixed culture improved the N absorption and photosynthetic rate of E. urophylla × E. grandis, further promoting seedling growth but inhibiting the photosynthetic process of D. odorifera, reducing its growth and biomass. Redundancy analysis and path analysis revealed that leaf nitrogen content, pigment content, and photosynthesis-related physiological indicators were the traits most directly related to seedling growth and biomass accumulation, with the net photosynthetic rate explaining 50.9% and 55.8% of the variation in growth indicators for E. urophylla × E. grandis and D. odorifera, respectively. Additionally, leaf morphological traits are related to the trade-off strategy exhibited by E. urophylla × E. grandis and D. odorifera based on N competition. This study demonstrated that physiological traits related to photosynthesis are reliable predictors of N nutrition and tree growth in mixed stands, while leaf morphological traits reflect the resource trade-off strategies of different tree species.

Effect of two biocontrols on the accumulation of phenolic compounds and leaf pigments in sorghum [<i>Sorghum bicolor</i> (L.) Moench] leaves in northern Côte d'Ivoire

The aim of this study was to find an alternative to chemical control by improving sorghum's natural defense system. The effect of two biocontrols, Vacciplant and Calliet, on phenolic compound and leaf pigment levels was evaluated. Vacciplant was prepared at concentrations of 0.675; 0.9; 1.125; 1.35 and 1.575 mg/mL, while Calliet was prepared at concentrations of 4 ; 8 ; 12 ; 16 and 20 mg/mL. After preparation, the biocontrol solutions were sprayed onto sorghum leaves 60 days old. Incubation times of 24, 48, 72 and 96 hours were observed after spraying. The sorghum leaves were then harvested and freeze-dried for quantification of total phenols and leaf pigments. Results showed that Vacciplant at a concentration of 1.125 mg/mL after 72 hours of incubation allowed to have the highest contents of total phenols (76.63 mg/g MF), while Calliet at concentration of 4.00 mg/mL after 24 hours of incubation allowed to have the highest contents of total phenols (67.28 mg/g MF). With regard to photosynthetic activity, the results also showed an increase in leaf pigment content following the application of biocontrols. The use of biocontrols could therefore be an interesting alternative to chemical control in sorghum.

Multi-Omics Analysis of the Effects of Soil Amendment on Rapeseed (Brassica napus L.) Photosynthesis under Drip Irrigation with Brackish Water.

Drip irrigation with brackish water increases the risk of soil salinization while alleviating water shortage in arid areas. In order to alleviate soil salinity stress on crops, polymer soil amendments are increasingly used. But the regulation mechanism of a polymer soil amendment composed of polyacrylamide polyvinyl alcohol, and manganese sulfate (PPM) on rapeseed photosynthesis under drip irrigation with different types of brackish water is still unclear. In this field study, PPM was applied to study the responses of the rapeseed (Brassica napus L.) phenotype, photosynthetic physiology, transcriptomics, and metabolomics at the peak flowering stage under drip irrigation with water containing 6 g·L-1 NaCl (S) and Na2CO3 (A). The results showed that the inhibitory effect of the A treatment on rapeseed photosynthesis was greater than that of the S treatment, which was reflected in the higher Na+ content (73.30%) and lower photosynthetic-fluorescence parameters (6.30-61.54%) and antioxidant enzyme activity (53.13-77.10%) of the A-treated plants. The application of PPM increased the biomass (63.03-75.91%), photosynthetic parameters (10.55-34.06%), chlorophyll fluorescence parameters (33.83-62.52%), leaf pigment content (10.30-187.73%), and antioxidant enzyme activity (28.37-198.57%) under S and A treatments. However, the difference is that under the S treatment, PPM regulated the sulfur metabolism, carbon fixation and carbon metabolism pathways in rapeseed leaves. And it also regulated the photosynthesis-, oxidative phosphorylation-, and TCA cycle-related metabolic pathways in rapeseed leaves under A treatment. This study will provide new insights for the application of polymer materials to tackle the salinity stress on crops caused by drip irrigation with brackish water, and solve the difficulty in brackish water utilization.

Estimation of Biochemical Pigment Content in Poplar Leaves Using Proximal Multispectral Imaging and Regression Modeling Combined with Feature Selection.

Monitoring the biochemical pigment contents in individual plants is crucial for assessing their health statuses and physiological states. Fast, low-cost measurements of plants' biochemical traits have become feasible due to advances in multispectral imaging sensors in recent years. This study evaluated the field application of proximal multispectral imaging combined with feature selection and regressive analysis to estimate the biochemical pigment contents of poplar leaves. The combination of 6 spectral bands and 26 vegetation indices (VIs) derived from the multispectral bands was taken as the group of initial variables for regression modeling. Three variable selection algorithms, including the forward selection algorithm with correlation analysis (CORR), recursive feature elimination algorithm (RFE), and sequential forward selection algorithm (SFS), were explored as candidate methods for screening combinations of input variables from the 32 spectral-derived initial variables. Partial least square regression (PLSR) and nonlinear support vector machine regression (SVR) were both applied to estimate total chlorophyll content (Chla+b) and carotenoid content (Car) at the leaf scale. The results show that the nonlinear SVR prediction model based on optimal variable combinations, selected by SFS using multiple scatter correction (MSC) preprocessing data, achieved the best estimation accuracy and stable prediction performance for the leaf pigment content. The Chla+b and Car models developed using the optimal model had R2 and RMSE predictive statistics of 0.849 and 0.825 and 5.116 and 0.869, respectively. This study demonstrates the advantages of using a nonlinear SVR model combined with SFS variable selection to obtain a more reliable estimation model for leaf biochemical pigment content.

Physiological and Transcriptome Analysis of the Effects of Exogenous Strigolactones on Drought Responses of Pepper Seedlings.

Drought stress significantly restricts the growth, yield, and quality of peppers. Strigolactone (SL), a relatively new plant hormone, has shown promise in alleviating drought-related symptoms in pepper plants. However, there is limited knowledge on how SL affects the gene expression in peppers when exposed to drought stress (DS) after the foliar application of SL. To explore this, we conducted a thorough physiological and transcriptome analysis investigation to uncover the mechanisms through which SL mitigates the effects of DS on pepper seedlings. DS inhibited the growth of pepper seedlings, altered antioxidant enzyme activity, reduced relative water content (RWC), and caused oxidative damage. On the contrary, the application of SL significantly enhanced RWC, promoted root morphology, and increased leaf pigment content. SL also protected pepper seedlings from drought-induced oxidative damage by reducing MDA and H2O2 levels and maintaining POD, CAT, and SOD activity. Moreover, transcriptomic analysis revealed that differentially expressed genes were enriched in ribosomes, ABC transporters, phenylpropanoid biosynthesis, and Auxin/MAPK signaling pathways in DS and DS + SL treatment. Furthermore, the results of qRT-PCR showed the up-regulation of AGR7, ABI5, BRI1, and PDR4 and down-regulation of SAPK6, NTF4, PYL6, and GPX4 in SL treatment compared with drought-only treatment. In particular, the key gene for SL signal transduction, SMXL6, was down-regulated under drought. These results elucidate the molecular aspects underlying SL-mediated plant DS tolerance, and provide pivotal strategies for effectively achieving pepper drought resilience.

How tree stand phenology determines understorey senescence - a case study from boreal forests

Leaf fall in the autumn opens the forest canopy, allowing more solar radiation to be transmitted to the forest floor. Those understorey species that remain physiologically active into the autumn may benefit from the sunlight received by extending their growing season, to assimilate additional carbon while conditions remain favourable. We monitored leaf water and pigment content, as well as photosynthetic capacity in understorey species growing in adjacent stands differing in their canopy tree species. Leaf fall, transmitted light, and microclimate were monitored in each stand. We found that overstorey leaf fall started earlier in the birch (Betula pendula, L.), than in the oak (Quercus robur, L.) stand, and light transmission changed accordingly. Concurrently, understorey leaf senescence was generally earlier in the birch than in the oak stand, itself earlier than in the evergreen spruce stand (Picea abies, L. H. Karst.). Neither atmospheric CO2, humidity, nor temperature differed between stands. A change in light quality and/or increase in quantity following leaf fall drove the difference in the timing of senescence in the understorey. Understorey species with later senescence were able to use the increased light more after leaf fall. Together these findings help to provide a mechanistic foundation to predict how ecosystem functioning and ultimately carbon balance will be impacted by phenological shifts in response to global changes.

Effect of Low Temperature on Photosynthetic Characteristics, Senescence Characteristics, and Endogenous Hormones of Winter Wheat “Ji Mai 22” during the Jointing Stage

To investigate the effects of low-temperature (LT) stress on photosynthetic properties and senescence characteristics of winter wheat leaves during the jointing stage, an environmental temperature control experiment was designed at Nanjing University of Information Science and Technology in 2023, using Triticum aestivum L. cv. “Ji Mai 22” as the test material. Four different temperature levels were set: 18 °C/8 °C (daily maximum/daily minimum temperature; CK), 13 °C/3 °C, 10 °C/0 °C, and 7 °C/3 °C. The duration of each treatment was 2, 4, and 6 days, respectively. The experimental findings reveal that the changes in physiological parameters of winter wheat leaves under low-temperature stress treatments are nonlinear. Under the 3 °C LT treatment, the photosynthetic parameters and endogenous hormone levels of wheat leaves significantly decrease after 6 days of stress. Under the 0 °C LT treatment, the photosynthetic parameters, leaf pigment content, and endogenous hormones of wheat decrease significantly, while under the −3 °C LT treatment, all the parameters of winter wheat leaves show a significant decline. Generally, the “Ji Mai22” wheat cultivar has a lower growth temperature limit of −3 °C during the jointing stage.