Leaf Internal Structure Research Articles

The material relating to the anatomy of Rhaponticum serratuloides leaf blades according to age conditions

In the article the features of the morphological and anatomical structure of leaf blades in the process of ontogenesis of Rhaponticum serratuloides Georgi (Bobr.) during juvenile, immature, virginal, generative and senile age states were presented. It was noted that as the plant matures, the degree of dissection and linear dimensions of the leaf blades, as well as their vascular bundles and trichomes, increase. It was established that in the juvenile and immature periods of development whole and elliptical leaves predominate. In the virginal state, in addition to the typical entire leaves, leaves with an unpaired pinnate leaf blade appear. The generative state of Rh. serratuloides is characterized by having upper leaves as entire, sessile; the lower ones are petiolate, pinnately lobed with a large apical lobe. In the senile state, leaves of immature and virginal types are found. General patterns of leaf internal structure of Rh. serratuloides and another representative of the same genus Rh.carthamoides Willd (Iljin) were revealed as following: the plants are of dorsal-ventral type of leaf blade structure, with collateral vascular bundles of a closed type with a sclerenchyma covering and leaf pubescence. Along with this, characteristic diagnostic features for leaves of Rh. serratuloides were described as the following: the absence of capitate glands and long cord-like hairs during all age states, the presence of air-bearing cavities in the parenchyma of virginal and senile plants, associated with the habitat of the plant under study, because it grows in flooded meadows, along the shores of lakes and swamps.

Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra

ABSTRACT Leaf traits can be used to elucidate vegetation functional responses to global climate change. Pigments, water and leaf mass per area are the most used traits. However, detailed anatomical traits such as leaf thickness, the thickness of palisade and spongy parenchyma are often neglected, although they affect leaf physiological function and optical properties. Our aim was to produce partial least squares regression (PLSR) models for estimating leaf traits using biconical reflectance factor (BCRF). We established that estimation of leaf anatomical properties differs when using BCRF obtained from the upper and lower surface of the leaf. PLSR explained that 90% of the variability was based on total chlorophyll content (R2 = 0.95), spongy parenchyma to leaf thickness ratio (R2 = 0.94), equivalent water thickness (R2 = 0.93) and leaf mass per area (R2 = 0.91) or leaf thickness (R2 = 0.90). We conclude that internal asymmetry in leaf structure affects significantly leaf optical properties and should not be neglected in radiative transfer modelling at the leaf level and when upscaling leaf properties to the canopy.

Mueller-Polarimetry of Barley Leaves I: Depolarization Metrics

In this paper, Mueller polarimetry is applied to study the three groups of common barley leaf samples (Hordeum vulgare) in the visible spectrum (λ = 632.8 nm): Chlorina mutant, Chlorina etiolated mutant and Cesaer varieties. These samples differed in internal leaf structure from genetic mutation or by illumination during growth. Our main concern is to discriminate and characterize these three groups of leaf samples by depolarization metrics: degree of polarization (DoP), average degree of polarization (Average DoP), depolarization index (DI(M)), and Q(M) and R(M) metrics. The results obtained show that all depolarization metrics are sensitive to the sample’s polarization properties. The most effective observable is the Q(M) metric in both forward and backward scattering. The DoP metric showed presence of depolarization anisotropy, which is significantly different for forward and backward scattering for all three groups of samples. Dichroism is observed for both forward and backward scattering, with lower dichroism in forward scattering.

Assessing PROSPECT performance on aquatic plant leaves

PROSPECT is the most widely used optical leaf model for a wide range of remote sensing applications on vegetation and has been developed and parameterised based on empirical data measured almost exclusively on terrestrial plant leaves. As aquatic plants differ substantially from terrestrial plants in leaf morphology and physiology, the validity of the relationships underlying PROSPECT in aquatic plants needs to be verified empirically. To this end, we compiled a comprehensive dataset of leaf spectra and biochemical-structural parameters sampled along a water affinity gradient, including floating and emergent hydrophytes, helophytes and riparian species, and terrestrial plants. In parallel, we designed a multidimensional experiment to explore the performance of PROSPECT across different groups and to characterise sources of modelling error, focusing on aquatic plants. Our results showed that estimates of most leaf parameters from PROSPECT inversions diverged increasingly from measured traits when moving from terrestrial to aquatic species. The suboptimal performance of PROSPECT on aquatic plants appears to be driven by three main factors: difficulties in disentangling leaf dry matter components (particularly proteins), unresolved issues related to the overlap of primary and secondary pigment mixtures and absorption, and the peculiarities of internal leaf structure (i.e. the presence of ‘aerenchyma’). These findings highlight the need for careful preliminary evaluation of the applicability and limitations of PROSPECT when applied to vegetation types that differ significantly from the typical terrestrial trees and grasses used for model calibration, including aquatic plants. Such evaluation should be preferably based on empirical data covering natural heterogeneity, so that future applications of remote sensing for mapping aquatic and wetland vegetation characteristics can be improved in terms of robustness and transferability.

Systematic study in Cressa cretica L. (Convolvulaceae) species from Lake Qarun, El-Fayoum province, Egypt

Cressa cretica L. is a monotypic species belongs to the plant family Convolvulaceae, tribe Cresseae. It is an erect, small, dwarf shrub, commonly grown in coastal areas and considered as an important medicinal plant with many therapeutic effects. Individuals of this species became restricted in specific areas in Egypt in became under threat of extinction. This study dealt with careful examination of the external and leaf internal structure beside pollen grain morphology. The study aims to understand the species morphological characteristics and protect it from localization and destruction processes. The results showed that the leaf macro- and micro-morphological characters are of the halophytic ones, with long unicellular hairs as well as T-shaped hairs and sunken stomata. The leaf internal structure has mesophyll differentiated into one layer palisade and spongy layers full of ca-oxalate crystals and salt glands distributed in the mesophyll. Pollen grains productivity was few and they are small, spheroidal to subprolate with tricolporate aperture and tectate perforate with supra-tectum granules. The results obtained show that Cressa cretica has external and internal halophytic structure in addition to few small pollen grains. Germination experiments needed to test the pollen productivity of this plant under non-saline habitats for its conservation.

Classifying cadmium contaminated leafy vegetables using hyperspectral imaging and machine learning

Cadmium (Cd) is a toxic element that can accumulate in edible plant tissues and negatively impact human health. Traditional Cd quantification methods are time-consuming, expensive, and generate a lot of toxic waste, slowing development of methods to reduce uptake. The objective of this study was to determine whether hyperspectral imaging (HSI) and machine learning (ML) can be used to predict Cd concentrations in plants using kale (Brassica oleracea) and basil (Ocimum basilicum) as model crops. The experiments were conducted in an automated phenotyping facility where all environmental conditions except soil Cd concentration were kept constant. Cd concentrations were determined at harvest using traditional methods and used to train the ML models with data collected from the imaging sensor. Visible/near infrared (VNIR) images were also collected at harvest and processed to calculate reflectance at 473 bands between 400 to 998 nm. All reflectance spectra were subject to the feature selection algorithm ReliefF and Principal Component Analysis (PCA) to generate data and provide input to evaluate three ML classification models: artificial neural network (ANN), ensemble learning (EL), and support vector machine (SVM). Plants were categorized according to Cd concentrations higher or lower than the safety threshold of 0.2 mg kg−1 Cd. Wavelengths with the highest ranks for Cd detection were between 519 and 574, and 692 and 732 nm, indicating that Cd content likely altered the plants’ chlorophyll content and altered leaf internal structure. All models were able to sort the plants into groups, though the model with the best F1 score was the ANN for the validation subset that utilized reflectance from all wavelengths. This study demonstrates that HSI and ML are promising technologies for the fast and precise diagnosis of Cd in leafy green plants, though additional studies are needed to adapt this approach for more complex field environments.

Leaf toughness increases with tree height and is associated with internal leaf structure and photosynthetic traits in a tropical rain forest

Although leaf toughness is an essential plant adaptation to herbivore pressure and environmental stress, the relationships of leaf toughness with leaf anatomy and photosynthetic traits, and its spatial variations within tropical rainforests, remain poorly understood. We measured these traits in 103 tree species belonging to 27 families from the canopy to understory using a canopy crane system in a tropical rainforest in Sarawak, Malaysia. We focused on the leaf anatomical trait of bundle-sheath extensions (BSEs) around the vascular bundle due to their diverse ecophysiological functions. We divided the trees into heterobaric species with BSEs and homobaric species lacking BSEs, to investigate the relationships of leaf toughness with tree height, leaf functional traits such as carbon (C) and nitrogen (N) content, thickness, leaf mass per area (LMA) and the maximum photosynthetic rate (Pmax). Leaf toughness, LMA, thickness and C and N contents increased with height regardless of BSE presence. Heterobaric leaves had greater toughness than homobaric leaves, whereas leaf thickness, LMA and C were similar between the two leaf types throughout the height gradient. We found that standardized toughness per thickness or C was greater in heterobaric species, as BSEs consist mainly of fibrous tissue. Pmax was higher for heterobaric than homobaric leaves in the upper canopy presumably due to the functions of BSEs, including water conductivity, but did not differ with plant type in the lower layers. In other words, heterobaric species efficiently exploit the advantages of tougher leaves and higher Pmax by having BSEs. The increased proportion of heterobaric species, with their tougher leaves and higher Pmax, in the upper canopy is consistent with adaptation to physically stressful conditions in the tropical rainforest canopy, including high herbivore pressure and strong light.

Side Lighting Enhances Morphophysiology by Inducing More Branching and Flowering in Chrysanthemum Grown in Controlled Environment.

Light is one of the most important factors that influence plant growth and development. This study was conducted to examine how lighting direction affects plant morphophysiology by investigating plant growth parameters, leaf anatomy, epidermal cell elongation, stomatal properties, chloroplast arrangement, and physiological changes. In closed-type plant factory units, the rooted cuttings of two chrysanthemum (Chrysanthemum morifolium Ramat.) cultivars, ‘Gaya Glory’ and ‘Pearl Egg’, were subjected to a 10 h photoperiod with a 300 μmol∙m−2∙s−1 photosynthetic photon flux density (PPFD) provided by light-emitting diodes (LEDs) from three directions relative to the plant including the top, side, and bottom. Compared to the top or bottom lighting, the side lighting greatly enhanced the plant growth, improved the leaf internal structure and chloroplast arrangement, induced small stomata with a higher density, and promoted stomatal opening, which is associated with an increased stomatal conductance and photosynthetic efficiency. It is worth noting that the side lighting significantly enhanced the induction of branching and flowering for both cultivars., The plants grown with side lighting consistently exhibited the greatest physiological performance. We conclude that the lighting direction had a profound effect on the morphophysiological characteristics of chrysanthemum, and that side lighting dramatically promoted their growth and development, especially in their branching and flowering.

LEAF ANATOMY OF SENNA CANA (FABACEAE) IN A SEASONALLY DRY TROPICAL FOREST

ABSTRACT In seasonally dry tropical forests such as the Brazilian Caatinga, factors such as soil type and luminosity are known to cause changes in foliar tissues that enable the survival of species in such places. The present study aimed to describe the leaf morphoanatomy of Senna cana and to observe the plasticity in leaf tissues receiving both direct and indirect light radiation. The study was carried out in the Catimbau National Park in Buíque, PE, Brazil. Mature leaf samples were collected from under full sunlight and full shade in three areas with soils of different colors. Histological slides were prepared for visualization of epidermal faces, internal leaf structure, and histochemical tests. Plasticity was noted in the type of trichome that covered the epidermal faces, and in the number of layers of the palisade and spongy parenchymas, even under the indirect effect of radiation. Phenolic compounds and lipids also showed plasticity. These results demonstrate that Senna cana is a species with high plasticity for the luminosity factor. Further, it was noticed that indirect light also promotes anatomical changes and should be considered in future analyses.

Does an urban environment affect leaf structure of Eugenia uniflora L. (Myrtaceae)?

External factors can interfere with the structure and biological activity of plants. Nevertheless, the susceptibility of plants to specific environmental conditions varies, which raises many questions about the behavior of medicinal plants when grown in urban areas. This study aims to detect possible changes induced by exposure of Eugenia uniflora L. to an urban environment, with emphasis on variation in external and internal leaf structure and differences in the production of its main metabolites. We compared leaves of E. uniflora cultivated in forest and urban sites and analyzed them for structural plasticity and characteristics indicative of stress in the urban environment. The leaves of the urban site revealed necrosis and reddish spots, higher stomatal density, smaller stomata and more numerous crystals and secretory glands, as well as evident storage of starch, lipids, and mucilage. The presence of numerous crystals had a high plasticity index and great potential as anatomical marker for evaluating the effects of the urban environment. Visual symptoms and anatomical changes were efficient at diagnosing stress in E. uniflora, while characteristics of the urban site, such as temperature, heat and pollution, are thought to be responsible for the observed variation and may influence your medicinal characteristic.

Upscaling seasonal phenological course of leaf dorsiventral reflectance in radiative transfer model

Forest top-of-canopy (TOC) reflectance observed by remote sensing instruments is driven by a wide range of parameters, including optical properties of leaves being the major driver, understory and bark together with structural properties of the forest - spatial distribution of leaves and branches in the canopy contributing also to variable extent. In addition, the instantaneous observation geometry (e.g. the sun and sensor zenith and azimuth angles) largely influences the observed TOC reflectance due to the changes in shadow fraction in the canopies. As a result, forest TOC reflectance is highly dynamic, following the seasonal patterns of optical and structural properties of vegetation.From the above-mentioned factors, the leaf optical properties are the most important. They hold an information on leaf biochemical (e.g. chlorophyll and carotenoid contents), water content and structural (e.g., leaf thickness, distribution of pigments within a leaf) properties at the leaf-level. Whereas biochemical effects on leaf reflectance are well understood, the role of dorsiventral asymmetry leaf internal structure on two-sided leaf optical properties has not been paid much attention, assuming equal optical properties on both leaf sides. However, the internal structure of a dorsiventral leaf is highly asymmetric often having different surface structure, tissue density and pigment distribution. Moreover, leaf optical properties are rarely measured during phenological development with high time resolution. Typically, studies focus on peak growing season neglecting the dynamic seasonal change of optical properties for broadleaved vegetation of temperate forests.In this study, we measured the seasonal course of leaf-level two-sided optical properties, biochemical and structural traits of five common broadleaved tree species of Central Europe (Betula pendula, Fagus sylvatica, Acer pseudoplatanus, Acer platanoides, and Sorbus aucuparia) with a typical dorsiventral, leaf anatomy without heliotropism. We link their leaf optical properties (e.g. reflectance difference of adaxial and abaxial sides, reflectance to transmittance ratio, fraction of specular component of leaf reflectance) with the laboratory analyses of inner leaf structure for contrasting leaf phenological stages from spring to fall. This allowed us to quantify both, species and seasonal differences of leaf dorsiventral optical properties and the role of inner leaf structure on leaf dorsiventral optical properties. Next, we up-scaled measured leaf-level dorsiventral optical properties to canopy level using Discrete Anisotropic Radiative Transfer model (DART) for three contrasting seasonal phenological stages - early spring (day of the year; DOY 115), summer (DOY 212) and fall (DOY 285). The aim was to quantify the impact of leaf optical properties parametrization (i.e. assuming equal optical properties on both sides, or dorsiventral leaf optical properties asymmetry) for forest of different species composition, vegetation phenological stage and observation geometries. The biggest differences between simulations were observed in VIS and NIR regions, where the neglecting differences in abaxial side leaf reflectance may introduce relative difference up to 20%, causing the underestimation of “one-sided” scenario compared to “two-sided” one, especially for off-nadir backscattering viewing directions. This may lead to increase in uncertainty when interpreting remote sensing observations, namely the chlorophyll content retrievals from back-scattering observation geometries and canopy structural retrievals (e.g. leaf area index) for all viewing geometries. We, thus, suggest to account for leaf reflectance dorsiventral differences in the next generation of radiative transfer models.

Solar-induced chlorophyll fluorescence and short-term photosynthetic response to drought.

Drought is among the most damaging climate extremes, potentially causing significant decline in ecosystem functioning and services at the regional to global scale, thus monitoring of drought events is critically important. Solar-induced chlorophyll fluorescence (SIF) has been found to strongly correlate with gross primary production on the global scale. Recent advances in the remote sensing of SIF allow for large-scale, real-time estimation of photosynthesis using this relationship. However, several studies have used SIF to quantify the impact of drought with mixed results, and the leaf-level mechanisms linking SIF and photosynthesis are unclear, particularly how the relationship may change under drought. We conducted a drought experiment with 2-yr old Populus deltoides. We measured leaf-level gas exchange, SIF, and pulse amplitude modulated (PAM) fluorescence before and during the 1-month drought. We found clear responses of net photosynthesis and stomatal conductance to water stress, however, SIF showed a smaller response to drought. Net photosynthesis (Anet ) and conductance dropped 94% and 95% on average over the drought, while SIF values only decreased slightly (21%). Electron transport rate dropped 64% when compared to the control over the last week of drought, but the electron transport chain did not completely shut down as Anet approached zero. Additionally, SIF yield (SIFy ) was positively correlated with steady-state fluorescence (Fs ) and negatively correlated with non-photochemical quenching (NPQ; R2 =0.77). Both Fs and SIFy , after normalization by the minimum fluorescence from a dark-adapted sample (Fo ), showed a more pronounced drought response, although the results suggest the response is complicated by several factors. Leaf-level experiments can elucidate mechanisms behind large-scale remote sensing observations of ecosystem functioning. The value of SIF as an accurate estimator of photosynthesis may decrease during mild stress events of short duration, especially when the response is primarily stomatal and not fully coupled with the light reactions of photosynthesis. We discuss potential factors affecting the weak SIF response to drought, including upregulation of NPQ, change in internal leaf structure and chlorophyll concentration, and photorespiration. The results suggest that SIF is mainly controlled by the light reactions of photosynthesis, which operate on different timescales than the stomatal response.

Assessment of Portable Chlorophyll Meters for Measuring Crop Leaf Chlorophyll Concentration

Accurate measurement of leaf chlorophyll concentration (LChl) in the field using a portable chlorophyll meter (PCM) is crucial to support methodology development for mapping the spatiotemporal variability of crop nitrogen status using remote sensing. Several PCMs have been developed to measure LChl instantaneously and non-destructively in the field, however, their readings are relative quantities that need to be converted into actual LChl values using conversion functions. The aim of this study was to investigate the relationship between actual LChl and PCM readings obtained by three PCMs: SPAD-502, CCM-200, and Dualex-4. Field experiments were conducted in 2016 on four crops: corn (Zea mays L.), soybean (Glycine max L. Merr.), spring wheat (Triticum aestivum L.), and canola (Brassica napus L.), at the Central Experimental Farm of Agriculture and Agri-Food Canada in Ottawa, Ontario, Canada. To evaluate the impact of other factors (leaf internal structure, leaf pigments other than chlorophyll, and the heterogeneity of LChl distribution) on the conversion function, a global sensitivity analysis was conducted using the PROSPECT-D model to simulate PCM readings under different conditions. Results showed that Dualex-4 had a better performance for actual LChl measurement than SPAD-502 and CCM-200, using a general conversion function for all four crops tested. For SPAD-502 and CCM-200, the error in the readings increases with increasing LChl. The sensitivity analysis reveals that deviations from the calibration functions are more induced by non-uniform LChl distribution than leaf architectures. The readings of Dualex-4 can have a better ability to restrict these influences than those of the other two PCMs.

Estimation of leaf traits from reflectance measurements: comparison between methods based on vegetation indices and several versions of the PROSPECT model

BackgroundLeaf biochemical composition corresponds to traits related to the plant state and its functioning. This study puts the emphasis on the main leaf absorbers: chlorophyll a and b (C_{ab}), carotenoids (C_{c}), water (C_{w}) and dry mater (C_{m}) contents. Two main approaches were used to estimate [C_{ab} ,C_{c}, C_{w}, C_{m}] in a non-destructive way using spectral measurements. The first one consists in building empirical relationships from experimental datasets using either the raw reflectances or their combination into vegetation indices (VI). The second one relies on the inversion of physically based models of leaf optical properties. Although the first approach is commonly used, the calibration of the empirical relationships is generally conducted over a limited dataset. Consequently, poor predictions may be observed when applying them on cases that are not represented in the training dataset, i.e. when dealing with different species, genotypes or under contrasted environmental conditions. The retrieval performances of the selected VIs were thus compared to the ones of four PROSPECT model versions based on reflectance data acquired at two phenological stages, over six wheat genotypes grown under three different nitrogen fertilizations and two sowing density modalities. Leaf reflectance was measured in the lab with a spectrophotometer equipped with an integrating sphere, the leaf being placed in front of a white Teflon background to increase the sensitivity to leaf biochemical composition. Destructive measurements of [C_{ab} ,C_{c}, C_{w}, C_{m}] were performed concurrently.ResultsThe destructive measurements demonstrated that the carotenoid, C_{c}, and chlorophyll, C_{ab}, contents were strongly correlated (r2 = 0.91). The sum of C_{ab} and C_{c}, i.e. the total chlorophyllian pigment content, C_{abc}, was therefore used in this study. When inverting the PROSPECT model, accounting for the brown pigment content, C_{bp}, was necessary when leaves started to senesce. The values of C_{abc} and C_{w} were well estimated (r2 = 0.81 and r2 = 0.88 respectively) while the dry matter content, C_{m}, was poorly estimated (r2 = 0.00). Retrieval of C_{w} from PROSPECT versions was only slightly biased, while substantial overestimation of C_{abc } was observed. The ranking between estimated values of C_{abc} and C_{w} from the several PROSPECT versions and that derived using the VIs were similar to the ranking observed over the destructively measured values of C_{abc} and C_{w}.ConclusionsPROSPECT model inversion and empirical VI approach provide similar retrieval performances and are useful methods to estimate leaf biochemical composition from spectral measurements. However, the PROSPECT model inversion gives potential access to additional traits on surface reflectivity and leaf internal structure. This study suggests that non-destructive estimation of leaf chlorophyll and water contents is a relevant method to provide leaf traits with relatively high throughput.

Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings.

Changing climate is increasing the amount and intensity of forest stress agents, such as drought, pest insects, and pathogens. Leaf water content, measured here in terms of equivalent water thickness (EWT), is an early indicator of tree stress that provides timely information about the health status of forests. Multispectral terrestrial laser scanning (MS-TLS) measures target geometry and reflectance simultaneously, providing spatially explicit reflectance information at several wavelengths. EWT and leaf internal structure affect leaf reflectance in the shortwave infrared region that can be used to predict EWT with MS-TLS. A second wavelength that is sensitive to leaf internal structure but not affected by EWT can be used to normalize leaf internal effects on the shortwave infrared region and improve the prediction of EWT. Here we investigated the relationship between EWT and laser intensity features using multisensor MS-TLS at 690, 905, and 1,550 nm wavelengths with both drought-treated and Endoconidiophora polonica inoculated Norway spruce seedlings to better understand how MS-TLS measurements can explain variation in EWT. In our study, a normalized ratio of two wavelengths at 905 and 1,550 nm and length of seedling explained 91% of the variation (R2) in EWT as the respective prediction accuracy for EWT was 0.003 g/cm2 in greenhouse conditions. The relation between EWT and the normalized ratio of 905 and 1,550 nm wavelengths did not seem sensitive to a decreased point density of the MS-TLS data. Based on our results, different EWTs in Norway spruce seedlings show different spectral responses when measured using MS-TLS. These results can be further used when developing EWT monitoring for improving forest health assessments.

Morpho-anatomical aspects of the first- and-second year leaf epidermis of some <i>Rhododendron</i> L. winter-green species in the Bugsko-Polessky Region

This paper discusses morphological and anatomical aspects of the first-and-second-year-leaf epidermis of the two winter-green species, genus Rhododendron L.: R. catawbiense Michx. and R. davidsonianum Rehd., grown in the Bugsko-Polessky Region from the seed reproduction of the Central Botanical Garden of the National Academy of Sciences of Belarus. The representatives of the studied genus are promising crops for planting gardens, settlements and interiors. Therefore, the study of leaf anatomy lets to find plants adaptive features to different environmental conditions and identify their adaptation capacity in the new conditions of growth. The paper identified diagnostic features, as well as similarities and differences of morphometric parameters. The research method was a comparative anatomical one. The author made a code of diagnostic features of the leaf anatomical structure, which described the views of cross sections. The character of the natural confinement species lays its mark on the formation of individual elements of the leaves structure, ensuring their successful adaptation to the new conditions of growth. The studies have shown that both species quite successfully acclimatized and are promising for mass reproduction and wider use in the Bugsko-Polessky Region, and this is supported by qualitative and quantitative indicators of the morphology and internal leaf structure.

Leaf acclimation to experimental climate warming in meadow plants of different functional types

The use of open-top chambers (OTCs) installed in natural plant cover is one of the approaches to study plant responses to climate change. Three OTCs made from polyethylene film were installed on a herbgrass meadow in the subzone of the southern taiga before the beginning of the growing season. A significant increase in the average daily temperature values (by 0.5°C) and the relative humidity (by 10%) compared to control conditions was observed inside the chambers. Plant height, leaf parameters, and the pigments content were studied for six species of meadow plants during the growing season in two variants—inside the chamber and outside the chamber (control); more than 20 quantitative parameters of the mesophyll were studied for four of the species. It was found that the differences in microclimatic conditions had no effect on plant height and leaf area. A slight decrease in the thickness and density of the leaves and an increased water content were noted inside the OTCs. In contrast to weak changes in external leaf parameters, the internal leaf structure and the content of photosynthetic pigments varied considerably. Warming caused the reduction of the content of chlorophyll and carotenoids per unit leaf area in the majority of studied species, except for Veronica chamaedrys L., but the ratio of pigment forms did not change. Changes in the pigments content in the leaf were associated with some structural rearrangements in the mesophyll, whose mechanism depended on the functional properties of the species. Increased size of palisade cells and the number of chloroplasts per cell was noted in the ruderal species (R/CSR-strategist) Taraxacum officinale Wigg. s. l.; the reduction of chlorophyll content per leaf area occurred due to the decrease in chlorophyll content per a single chloroplast. Decreased number of cells and chloroplasts per leaf unit area without any changes in their size was marked for the species with S/CSR strategy Alchemilla vulgaris L. s. 1. and V. chamaedrys L. in a chamber, but the content of chlorophyll per a chloroplast increased. An increase in the number of cells and a simultaneous decrease in their size was observed in CR-strategist Cirsium setosum (Willd.) Bess. inside the OTC; the chlorophyll content per chloroplast did not change. It was concluded that the acclimation of plants to short-term climate warming was associated with the restructuring of leaf mesophyll, whose mechanism depended on the functional properties of the species.

Leaf-morphology-assisted selection for resistance to two-spotted spider mite Tetranychus urticae Koch (Acari: Tetranychidae) in carnations (Dianthus caryophyllus L).

The development of a cultivar resistant to the two-spotted spider mite has provided both ecological and economic benefits to the production of cut flowers. This study aimed to clarify the mechanism of resistance to mites using an inbred population of carnations. In the resistant and susceptible plants selected from an inbred population, a difference was recognised in the thickness of the abaxial palisade tissue by microscopic examination of the damaged leaf. Therefore, it was assumed that mites displayed feeding preferences within the internal leaf structure of the carnation leaf. The suitability of the host plant for mites was investigated using several cultivars selected using an index of the thickness from the abaxial leaf surface to the spongy tissue. The results suggested that the cultivar associated with a thicker abaxial tissue lowered the intrinsic rate of natural increase of the mites. The cultivars with a thicker abaxial tissue of over 120 µm showed slight damage in the field test. The ability of mites to feed on the spongy tissue during an early life stage from hatching to adult emergence was critical. It was possible to select a cultivar that is resistant to mites under a real cultivation environment by observing the internal structure of the leaf. © 2016 Society of Chemical Industry.

Effects of Exogenous Putrescine on Leaf Anatomy and Carbohydrate Metabolism in Cucumber (Cucumis sativus L.) Under Salt Stress

The objective of this study was to identify the effects of exogenous putrescine (Put) on leaf traits, hormones levels, and carbohydrate metabolism in cucumber seedlings under salt stress. The stress of 75 mM NaCl decreased plant growth and photosynthetic carboxylation efficiency. NaCl also increased the leaf thickness but destroyed the leaf internal structure. The contents of indoleacetic acid, zeatin, and zeatin riboside were decreased and the abscisic acid level was increased by NaCl. In addition, NaCl stress caused the accumulation of sucrose and starch in leaves and led to the feedback inhibition of photosynthesis, which can be inferred from the lower maximum rate of RuBisCo-mediated carboxylation (V cmax). The analysis of starch-metabolizing enzyme activities suggested that the largely improved amylopectin contents contributed to the starch accumulation. Put regulated the levels and ratios of endogenous hormones, lowered the leaf thickness, and protected the leaf structure from damage caused by NaCl. Furthermore, Put decreased the accumulation of sucrose and starch caused by NaCl in leaves through regulating the activities of enzymes involved in carbohydrate metabolism. In conclusion, Put regulates the hormones levels, leaf structure, and carbohydrate metabolism and therefore improves the photosynthesis and growth of NaCl-stressed cucumber plants.

Detection of Internal Leaf Structure Deterioration Using a New Spectral Ratio Index in the Near-Infrared Shoulder Region

Spectral reflectance in the near-infrared (NIR) shoulder (750-900 nm) region is affected by internal leaf structure, but it has rarely been investigated. In this study, a dehydration treatment and three paraquat herbicide applications were conducted to explore how spectral reflectance and shape in the NIR shoulder region responded to various stresses. A new spectral ratio index in the NIR shoulder region (NSRI), defined by a simple ratio of reflectance at 890 nm to reflectance at 780 nm, was proposed for assessing leaf structure deterioration. Firstly, a wavelength-independent increase in spectral reflectance in the NIR shoulder region was observed from the mature leaves with slight dehydration. An increase in spectral slope in the NIR shoulder would be expected only when water stress developed sufficiently to cause severe leaf dehydration resulting in an alteration in cell structure. Secondly, the alteration of leaf cell structure caused by Paraquat herbicide applications resulted in a wavelength-dependent variation of spectral reflectance in the NIR shoulder region. The NSRI in the NIR shoulder region increased significantly under an herbicide application. Although the dehydration process also occurred with the herbicide injury, NSRI is more sensitive to herbicide injury than the water-related indices (water index and normalized difference water index) and normalized difference vegetation index. Finally, the sensitivity of NSRI to stripe rust in winter wheat was examined, yielding a determination coefficient of 0.61, which is more significant than normalized difference vegetation index (NDVI), water index (WI) and normalized difference water index (NDWI), with a determination coefficient of 0.45, 0.36 and 0.13, respectively. In this study, all experimental results demonstrated that NSRI will increase with internal leaf structure deterioration, and it is also a sensitive spectral index for herbicide injury or stripe rust in winter wheat.