Rapid Changes In Environmental Conditions Research Articles

First report of oriental theileriosis in the Intermediate Zone, Sri Lanka: Is Theileria orientalis type 7 always apathogenic?

PurposeTheileriosis in cattle has a significant economic implication for dairy production globally. Thus, it is crucial to investigate the prevalence of bovine theileriosis, the causative agent and genotypes of Theileria species in dairy cattle in the Kurunegala District in the Intermediate zone, where the third largest population of dairy cattle in Sri Lanka is present and experienced a substantial reduction in the cattle population recently. MethodsSixty blood samples and background data were collected from three dairy farms in Galpokuna (n = 20), Koulwewa (n = 20), and Andigama (n = 20) areas. Haematocrit was used to identify anaemia while Giemsa-stained blood smears demonstrated the presence of piroplasms. A Fisher's Exact Test (p < 0.05) compared the prevalence of infection among age groups and farms. PCRs using species-specific primers designed to amplify regions of MPSP and 18 s rRNA genes followed by sequencing of selected amplicons allowed phylogeny of the species detected. ResultsAll three farms had semi-intensive farming practices keeping animals in a ‘closed’ setup with limited movement. Theileriosis prevalence in dairy cattle was 55.0 % with no difference among the farms (Koulwewa: 65.0 %, Galpokuna: 50.0 %, Andigama: 50.0 %). One-third of the cattle (33.3 %) were anaemic based on haematocrit results but most showed mild anaemia. Anaemia was significantly higher in calves (45.0 %) than in adults (25.0 %; χ2 = 5.743; p = 0.03) tested positive for theileriosis. None of the animals showed any other signs of theileriosis. PCR revealed the presence of both T. orientalis (pathogenic or benign) and T. annulata (pathogenic). The sequencing data revealed that the T. orientalis genotype present in Kurunegala District is type 7. ConclusionThis is the first report on T. orientalis and T. annulata in dairy cattle in the Intermediate zone of Sri Lanka. The type 7 of T. orientalis was more common showing severe anaemia in calves while mild anaemia or no anaemia in adults and sub-adults. In immunologically intact animals, the reported genotype of the parasite can persist asymptomatically for life, occasionally causing a relapse, particularly under stressful conditions like pregnancy, lactation, and rapid changes in environmental conditions. However, the susceptibility of calves for pathogenic and apathogenic genotypes of T. orientalis and the carrier status of asymptomatic animals needs further investigation.

Forest harvest causes rapid changes of maternal investment strategies in ground beetles.

Species recovery following anthropogenic disturbances will depend on adaptations in survivorship and fecundity. Life-history theory predicts increased environmental stress will result in (1) shifts in resource allocation from fecundity to body growth/maintenance and (2) increased provisioning among offspring at the cost of reproductive output. For remnant populations that persist after forest harvesting, selection mediated through anthropogenic disturbances may affect resilience to additional stressors such as climate change. We tested how rapid changes in environmental conditions affected maternal investment strategies in two ground beetle species, Pterostichus pensylvanicus and Pterostichus coracinus, by comparing fecundity and survivorship in populations from recently clear-cut and uncut habitats. Using parents drawn from clear-cut or uncut stands, we reared progeny in both common garden and reciprocal transplant experiments. In P. pensylvanicus, we found that neither lineage nor rearing habitat affected the number of eggs laid per female or survivorship of offspring. However, eggs laid by females from clear-cuts were more likely to hatch and offspring reached maturity more quickly, suggesting increased provisioning per offspring. In P. coracinus, females from clear-cuts laid more eggs, and their eggs hatched more rapidly and had greater hatching success, suggesting increased investment in overall reproductive output and increased offspring provisioning. In the reciprocal transplant, we observed significant habitat by lineage interactions on survival in P. coracinus, with survivorship increasing when progeny were reared in novel habitats. In both species, increased maternal investment among offspring was not associated with a reduction in overall reproductive output, as anticipated. However, maternal investment among offspring declined with increasing female size, implying trade-offs between increased metabolic demand and fecundity. Taken together, our work suggests that females from more stressful, clear-cut habitats increased investment in fecundity, compared to females from uncut habitats, and may compensate for larval mortality. These changes were driven by smaller individuals, suggesting that increased environmental stress can influence the relationship between female size and maternal investment strategy. Additionally, reciprocal increases in offspring survivorship in habitats other than the parents suggest that adjacent areas between unharvested and clear-cut habitat may be useful in maintaining biodiversity under future climate stressors.

Intracolony variability in winter feeding and migration strategies of Atlantic puffins and black-legged kittiwakes

Polar ecosystems are subjected to many stressors, including climate change, that impact their overall functioning. Seabirds are good bioindicators of these systems as they readily respond to changes in environmental conditions. To quantify how environmental changes affect their life history, data on seabird diet, spatial distribution and body condition are needed to reveal the underlying mechanisms. We explored possible drivers of the winter distribution of single-colony populations of Atlantic puffins Fratercula arctica and black-legged kittiwakes Rissa tridactyla, two of the most numerous seabird species in the North Atlantic. Based on carbon and nitrogen stable isotopic data from feathers moulted during winter migration, we identified three groups of Atlantic puffins and two groups of black-legged kittiwakes occupying different isotopic niches. We then used geolocator tracking data for the same birds to determine if these groups reflected parallel differences in the location of moulting grounds rather than differences in their diet. We found that the isotopic niches of the three Atlantic puffin groups likely resulted from their use of different habitats during winter moult. In contrast, the isotopic niches of the two black-legged kittiwake groups were more likely a result of differences in their diet, as both groups were distributed in the same area. These findings suggest that different winter feeding and/or migration strategies may play a role in shaping the body condition of individuals for their following breeding season. We discuss the role of environmental conditions encountered by seabirds during winter migration to further elucidate such intracolony divergence in strategies. As polar ecosystems experience rapid changes in environmental conditions, the approach presented here may provide valuable information for the development of effective conservation measures (taking both intra- and intercolony variability into account), and to better predict future impacts of climate change.

Drivers of functional and phylogenetic structures of mountain bird assemblages along an altitudinal gradient from the montane to alpine zones

Understanding the process underlying the spatial gradients in biodiversity is a fundamental issue in ecology. Altitudinal gradients are ideal systems for examining the community assembly process because they represent rapid changes in environmental conditions over relatively short distances. The functional and phylogenetic approaches allow a deeper mechanistic understanding of the underlying assembly process. However, whether community assembly from montane to alpine zones is driven more by ecological constraints or human settlement patterns is not fully resolved and may vary by system. Here, we examined the phylogenetic and trait-based functional structures from the montane to alpine zones and clarified the effects of natural environmental factors and human-induced landscape transformation on the breeding bird assemblage on Mount Norikura, central Japan. Breeding birds from 700 to 3026 m a.s.l. were surveyed in 2016–2017. Bird community structures were examined based on species richness, functional and phylogenetic structures. A null modelling approach was performed to examine functional and phylogenetic cluster/overdispersion structures; clustering and overdispersion imply species elimination by environmental filters and limiting similarity as a corollary of competitive exclusion of species, respectively. Furthermore, we examined the relative effect of natural environments and human disturbance. Bird species richness was high in the mountain base to mid-elevation, then decreased with elevation. We found a contrasting pattern in the phylogenetic and functional structures in the alpine zone: phylogenetic overdispersion and functional clustering. In contrast, the functional and phylogenetic structures were clustered in the upper parts of the subalpine zone. The functional and phylogenetic clusterings in the lower parts of the subalpine and montane zones were negligible with the weak effects of the environmental filtering. Single-trait analysis showed that the high abiotic tolerance and foraging or nesting capabilities in treeless environments were clustered in the alpine zone, and mobility was clustered in the subalpine zones. Natural environments strongly affected bird community structures, but human disturbance added species to assemblages in the mountain base to mid-elevation and changed the functional and phylogenetic structures. Our findings highlight that filtering by severe natural environments is a fundamental community assembly process in high mountain regions, whereas filtering effects can be weaker at lower elevations. Furthermore, the filtering effect should differ between the alpine and the upper parts of the subalpine zones because of different combinations of clustered traits. Climate change and landscape transformation pressures may strongly impact biodiversity in the alpine and subalpine zones, respectively.

The role of phenotypic plasticity in shaping ecological networks.

Plasticity-mediated changes in interaction dynamics and structure may scale up and affect the ecological network in which the plastic species are embedded. Despite their potential relevance for understanding the effects of plasticity on ecological communities, these effects have seldom been analysed. We argue here that, by boosting the magnitude of intra-individual phenotypic variation, plasticity may have three possible direct effects on the interactions that the plastic species maintains with other species in the community: may expand the interaction niche, may cause a shift from one interaction niche to another or may even cause the colonization of a new niche. The combined action of these three factors can scale to the community level and eventually expresses itself as a modification in the topology and functionality of the entire ecological network. We propose that this causal pathway can be more widespread than previously thought and may explain how interaction niches evolve quickly in response to rapid changes in environmental conditions. The implication of this idea is not solely eco-evolutionary but may also help to understand how ecological interactions rewire and evolve in response to global change.

A novel optimized dynamic fractional-order MPPT controller using hunter pray optimizer for alleviating the tracking oscillation with changing environmental conditions

Introducing new control strategies in the photovoltaic (PV) system to continuously harvest the maximum power with the changes in environmental conditions is a crucial issue. Therefore, this paper proposes an efficient maximum power point tracker (MPPT) using the perspective of fractional calculus to provide an accurate dynamic response to the rapid changes in environmental conditions. The proposed control scheme is an integration between the fractional proportional–integral (FPI) controller and dynamic variable fractional-order perturb and observe (P&O) MPPT. To optimally identify the proposed MPPT controller parameters, a novel hunter-pray optimizer (HPO) is implemented as it is featured by its efficient balance between exploration and exploitation capacity. The proposed MPPT controller is examined with a series of experiments under dynamically changed environmental conditions. Furthermore, a detailed comparison is conducted versus a set of state-of-the-art including; incremental conductance (INC), basic P&O, MPPT-based particle swarm optimizer(PSO), MPPT-based Grey Wolf Optimizer(GWO), and MPPT-based cuckoo search algorithm (CSA). The results prove that the proposed MPPT is capable to track the global maximum generated power with a notable steady-state response and is almost free of oscillations which ensures an optimal adaptive dynamic performance in response to the rapid variation in the environmental conditions. Moreover, the proposed approach affirms its superiority compared to the set of state-of-the-art techniques in providing the highest maximum power levels in the shortest conversion time. The outcomes provide proof of the remarkable impacts of integrating fractional calculus in enhancing the dynamic response of the proposed MPPT because of the extra degree of freedom that enhance the flexibility of the MPPT.

A comprehensive approach to SBR modelling for monitoring and control system design

The aim of this research is to provide a comprehensive description of the Sequencing Batch Reactor (SBR) modelling for monitoring, control, and plant operational optimisation validation. The paper provides a detailed modelling of the SBR, its components and constituent processes. For this purpose, the mass balance principle and continuity equations were provided with a reactive term implemented using Activated Sludge Model (ASM). The spatially discretised models (along the vertical axis) are then used in numerical experiments. Simulations performed enable comparison of the impact of different models of activated sludge settling velocity, as well as two different approaches to modelling reactions in the SBR. The latter was achieved by using the ASM2d and ASM3-BioP extended with an enzyme group modelling the lag phase observed in microorganisms during a rapid change in environmental conditions. The presented results have been obtained using the model of the SBR at Swarzewo in the North of Poland.

Effect of rapid changes in environmental conditions on canine detection of methyl benzoate

Detection canines are utilized worldwide in some of the most challenging field conditions for the detection of narcotics, explosives, and other targets. Much remains unknown, however, how these challenging conditions impact detection canine performance. Anecdotal evidence suggests that detection dogs require a “start-up” period – a short duration of time working – before performing optimally. These dogs commonly rest in climate-controlled settings (such as in a climate-controlled vehicle) and quickly transition to searches in contrasting conditions, which may exacerbate the issue. Accordingly, this study sought to quantify the magnitude and duration of the start-up period, and to identify any further effects on performance due to rapid transitions into extreme temperature/humidity conditions. The detection threshold of seven dogs was established for methyl benzoate (an odor simulant of illicit cocaine) under standard conditions using an air dilution olfactometer. A series of evaluations were then conducted to determine changes in this threshold when the dogs were rapidly transitioned from standard conditions to one of six temperature/humidity conditions - hot-humid, warm-humid, hot-dry, standard, cold-dry and cold-humid. Temperatures ranged from 0 to 40 ºC and relative humidity ranged from <40 % to >85 %. Changes in detection threshold were measured via a series of three “probes” of six trials, with a 2 min inter-probe interval to habituate to environmental conditions. Probes started at the dogs’ estimated threshold and decreased in concentration based on correct performance. Overall, dogs showed substantial decrements in the hot-humid condition followed by moderate decrements in hot-dry and warm-humid conditions. Cold conditions did not produce statistically significant decrements. In addition, the data indicate that a start-up period does exist when canines transition from a state of rest directly into a search assignment. The duration of this start-up period was initially measured to be several minutes long; but after the first series of testing (approximately a couple months of training/testing), the dogs only exhibited a decrement in performance on the first trial of a session. Overall, the results suggest that environmental conditions and a brief “start-up” effect should be considered as important variables that can impact detection canine performance.

The role of plastics in the accumulation and release of trace elements in the environment

Abstract Plastics are an emerging class of environmental contaminants whose impacts are not yet fully understood. Trace elements, another class of environmental contaminant and commonly associated with plastics, have been widely researched and are known to be toxic to organisms. However, the combined impacts of these two contaminants on the environment remain unclear. Here, we reviewed the current knowledge of the types and concentrations of trace elements associated with plastics, the role of plastics in creating new exposure routes, the processes involved in the release of trace elements from plastics, and the transport of plastics through environmental compartments. Trace elements inherent in plastics, due to addition during manufacture for formation or functional properties, are typically present at higher concentrations than those that are acquired from the environment, and consequently are likely to have greater impacts. Trace elements are continuously released into environmental matrices from plastics but may be released at higher concentrations when exposed to rapid changes in environmental conditions (pH, ionic strength, redox potential, salinity, UV levels). Plastics potentially provide additional exposure routes for organisms to trace elements. For example, exposure to trace elements may occur when organisms ingest plastics, use them for shelter and nest building or as a surface to attach onto. Further research to improve our understanding of this complex contaminant should focus on environmentally relevant studies on trace element release and their effects.

Growth, maturity, reproduction, and life expectancy in ex-situ pacific walruses (Odobenus rosmarus divergens)

BackgroundPacific walruses are found in Arctic regions of the Chukchi and Bering Sea where rapid changes in environmental conditions resulting in loss of sea ice are occurring. Therefore, accurate life history data are crucial for species management plans and longitudinal data collected over the lives of individual walruses housed in zoos and aquaria provide otherwise difficult to obtain biological information.ResultsWhile similar at birth, Gompertz regression curves indicated that males grew faster than females (p < 0.0001) in weight (99 kg vs 57.6 kg/y) and length (26.9 cm vs 26.3 cm/y) with physical differences being detected by age 3 for weight and age 7 for length. Males reached adult weight at 13.5 ± 3.3 y and females by age 12.3 ± 2.3 y. The mean age at first ovulation and at first conception occurred at 8.8 y and 9.6 y. Greater than 75% of all conceptions and calving occurred between February and March and from May to June, respectively. Mean gestation lasted 423 d and false pregnancies lasted at least 169 d with a decrease (p < 0.05) in serum progesterone concentration between false pregnancy and pregnancy occurring within 6 months after ovulation. Based on these results, we estimated embryonic diapause to last from 120 to 139 days, and fetal growth last ~ 284 days. All males older than 8 y had an increase in serum testosterone and body weight that was highest in February and lowest in July. Overall, no differences were observed between male and female survival, with a mean (± SEM) life expectancy of 19.5 ± 1.5 y, respectively. Currently, the oldest male and female captive walruses are 40 and 43 y, respectively.ConclusionsData provided herein include details of life history characteristics of zoo and aquaria housed walruses that are useful for wild population recovery models. In particular, results on survivorship and the identification of the most vulnerable period for calf survival can help with model development and suggests that for recovery to occur birthing locations for this species must be protected.

Single-cell-resolution transcriptome map revealed novel genes involved in testicular germ cell progression and somatic cells specification in Chinese tongue sole with sex reversal.

Female-to-male sex reversals (pseudomales) are common in lower vertebrates and have been found in natural populations, which is a concern under rapid changes in environmental conditions. Pseudomales can exhibit altered spermatogenesis. However, the regulatory mechanisms underlying pseudomale spermatogenesis remain unclear. Here, we characterized spermatogenesis in Chinese tongue sole (Cynoglossus semilaevis), a species with genetic and environmental sex determination, based on a high-resolution single-cell RNA-seq atlas of cells derived from the testes of genotypic males and pseudomales. We identified five germ cell types and six somatic cell types and obtained a single-cell atlas of dynamic changes in gene expression during spermatogenesis in Chinese tongue sole, including alterations in pseudomales. We detected decreased levels of Ca2+ signaling pathway-related genes in spermatogonia, insufficient meiotic initiation in spermatocytes, and a malfunction of somatic niche cells in pseudomales. However, a cluster of CaSR genes and MAPK signaling factors were upregulated in undifferentiated spermatogonia of pseudomales. Additionally, we revealed that Z chromosome-specific genes, such as piwil2, dhx37, and ehmt1, were important for spermatogenesis. These results improve our understanding of reproduction after female-to-male sex-reversal and provide new insights into the adaptability of reproductive strategies in lower vertebrates.

Physiological Responses of Plants to Combined Drought and Heat under Elevated CO2

Anthropogenic activities over the last century have caused rapid changes in environmental conditions through increasing CO2 emissions in the atmosphere that contribute to global warming. Moreover, the increased global average temperature is linked with changes in the precipitation rate and distribution, resulting in a negative impact on crop health and productivity. Plants in nature often experience combined stresses; therefore, they have developed adaptive mechanisms to cope with fluctuating environmental conditions. Thus, investigating plant responses under unfavorable environmental conditions will provide a better understanding of how crops can adapt and thereby assist in selecting climate-resilient crops that can withstand climate variability. This review highlights the main adaptive physiological and biochemical responses of crops grown under elevated CO2 (eCO2) and exposed to combined abiotic stresses (drought and heat). Moreover, the mitigation and limitation impact of elevated CO2 on plants under the combination of stress is discussed.

Citizen science reveals meteorological determinants of frog calling at a continental scale

AbstractAimHere we investigate the strength of the relationships between meteorological factors and calling behaviour of 100 Australian frog species using continent‐wide citizen science data. First, we use this dataset to quantify the meteorological factors that best predict frog calling. Second, we investigate the strength of interactions among predictor variables. Third, we assess whether frog species cluster into distinct groups based on shared drivers of calling.LocationAustralia.MethodTo assess the relationship between calling and meteorological traits, we used spatio‐temporal subsampling (daily data fitted to 10 km2grid cells) of call and meteorological data as inputs to a boosted regression tree. We scaled the model outputs, which created a descriptive ranking of predictor importance. For strongly day‐driven species, we conducted further analyses to examine the influences of meteorological factors within the breeding season.ResultsWe found a strong seasonal signal, with day of year the strongest relationship to calling in 67 out of our 100 species, moderate relationships between temperature and calling, and weak relationships between rainfall and calling. Despite the common narratives, we found that frogs did not group into distinct categories based upon the influence of meteorological factors. For strongly day‐driven species, we found similar patterns within the breeding season.Main conclusionsWe demonstrate the importance of day of year and temperature thresholds in predicting frog calling behaviour in Australia. Understanding how meteorological conditions influence phenological events, such as breeding, will be increasingly important considering the rapid changes in environmental conditions and stability throughout most of the world, and how important breeding is to species survival.

MANAGEMENT OF SALES ACTIVITIES OF INDUSTRIAL ENTERPRISES

The article examines the essence and approaches to managing sales activities of an industrial enterprise in conditions of financial instability, as rapid changes in environmental conditions require entrepreneurs to find ways to preserve the company's competitive position. It has been proven that the most progressive way of organizing the sales activities of an industrial enterprise is distribution planning, which can be defined as a planned, professionally managed vertical marketing system that takes into account the interests of both the manufacturer and intermediaries. In this case, the manufacturers create in their structure a department for planning work with distributors, which is engaged in identifying the needs of their partners and developing programs to motivate intermediaries. The effectiveness of the sales activity of the enterprise largely depends on the correct definition of its functions, intermediate and final goals, that is, on the ability to manage it. In the most general sense, management is an element of production, business and other relations, which have the task of coordinating and harmonizing the activities of people and labor teams regarding the organization of the production of material goods, their development, implementation, sale, consumption. The organization of sales activities at the enterprise is one of the most important components of its functioning. Sales activity provides the enterprise with the main cash flow for its operation. Summing up, it should be noted that doing business in Ukraine is characterized by constant changes in factors affecting the activities of the company, its partners, suppliers, consumers and potential customers. All this leads to the fact that it is impossible to manage the business in conditions of rapidly changing circumstances and to make an adequate forecast of the development of events in the market, which determines the importance of a new approach to the management of the company's activities, especially sales.

Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers

Agriculture is a growing field of research. In particular, crop prediction in agriculture is critical and is chiefly contingent upon soil and environment conditions, including rainfall, humidity, and temperature. In the past, farmers were able to decide on the crop to be cultivated, monitor its growth, and determine when it could be harvested. Today, however, rapid changes in environmental conditions have made it difficult for the farming community to continue to do so. Consequently, in recent years, machine learning techniques have taken over the task of prediction, and this work has used several of these to determine crop yield. To ensure that a given machine learning (ML) model works at a high level of precision, it is imperative to employ efficient feature selection methods to preprocess the raw data into an easily computable Machine Learning friendly dataset. To reduce redundancies and make the ML model more accurate, only data features that have a significant degree of relevance in determining the final output of the model must be employed. Thus, optimal feature selection arises to ensure that only the most relevant features are accepted as a part of the model. Conglomerating every single feature from raw data without checking for their role in the process of making the model will unnecessarily complicate our model. Furthermore, additional features which contribute little to the ML model will increase its time and space complexity and affect the accuracy of the model’s output. The results depict that an ensemble technique offers better prediction accuracy than the existing classification technique.

Species and functional group composition of ant communities across an elevational gradient in the Eastern Himalaya

• First results on ant species composition change from Eastern Himalaya. • Species loss, not turnover, forms major part of total composition change. • Species diversity within each functional group decreased towards high elevation. • Functional group composition showed greater diversity and eveness at low elevation than at high elevations Elevational gradients in mountains show rapid changes in environmental conditions across a small geographic extent. This results in habitat specialization in animal communities which results in changes in species composition across space. We explore changes in species and functional group composition of ants using the first ever data on the distribution of ants across an elevational gradient in the Eastern Himalaya. Ants were sampled from 600 to 2400 m elevations at 200 m intervals using Winklers and pitfall traps. The sampling yielded 166 species of ants from 10,560 individuals, which were then classified into functional groups. We used redundancy analysis to test the effects of environmental factors (temperature, leaflitter volume, understory vegetation) and spatial predictors on species as well as functional group composition of communities at different elevations. Our results show that species diversity within all functional groups decreases towards higher elevations. The functional group composition of ant communities shows a gradient from high evenness at low elevations to being dominated by opportunist species at higher elevations. Redundancy analyses shows that most of the variation in species as well as functional group composition is driven by spatially structured environmental variation. This is most likely due to the high correlation between temperature and elevation. In summary, the changes in species as well as functional group composition are likely driven by a gradient in climate across the elevation gradient.

Development of a Genomic Prediction Pipeline for Maintaining Comparable Sample Sizes in Training and Testing Sets across Prediction Schemes Accounting for the Genotype-by-Environment Interaction

The global growing population is experiencing challenges to satisfy the food chain supply in a world that faces rapid changes in environmental conditions complicating the development of stable cultivars. Emergent methodologies aided by molecular marker information such as marker assisted selection (MAS) and genomic selection (GS) have been widely adopted to assist the development of improved genotypes. In general, the implementation of GS is not straightforward, and it usually requires cross-validation studies to find the optimum set of factors (training set sizes, number of markers, quality control, etc.) to use in real breeding applications. In most cases, these different scenarios (combination of several factors) vary just in the levels of a single factor keeping fixed the levels of the other factors allowing the use of previously developed routines (code reuse). In this study, we present a set of structured modules that are easily to assemble for constructing complex genomic prediction pipelines from scratch. Also, we proposed a novel method for selecting training-testing sets of sizes across different cross-validation schemes (CV2, predicting tested genotypes in observed environments; CV1, predicting untested genotypes in observed environments; CV0, predicting tested genotypes in novel environments; and CV00, predicting untested genotypes in novel environments). To show how our implementation works, we considered two real data sets. These correspond to selected samples of the USDA soybean collection (D1: 324 genotypes observed in 6 environments scored for 9 traits) and of the Soybean Nested Association Mapping (SoyNAM) experiment (D2: 324 genotypes observed in 6 environments scored for 6 traits). In addition, three prediction models which consider the effect of environments and lines (M1: E + L), environments, lines and main effect of markers (M2: E + L + G), and also the inclusion of the interaction between makers and environments (M3: E + L + G + G×E) were considered. The results confirm that under CV2 and CV1 schemes, moderate improvements in predictive ability can be obtained with the inclusion of the interaction component, while for CV0 mixed results were observed, and for CV00 no improvements were shown. However, for this last scenario, the inclusion of weather and soil data potentially could enhance the results of the interaction model.

АНАЛИЗ ФАКТОРОВ ВЛИЯНИЯ НА РАЗВИТИЕ МЕНЕДЖМЕНТА КАЧЕСТВА ОТРАСЛЕВОЙ ИНФРАСТРУКТУРЫ И СТРОИТЕЛЬНОГО КОМПЛЕКСА РОССИИ

The current state and development of the quality management of the industrial infrastructure and construction industry in Russia are investigated. The relevance of the study is due to the rapid changes in environmental conditions, which complicates the process of organizing the construction of industry infrastructure and construction activities in general. The theoretical foundations of the building complex and its practical role in the formation of the national economic system of the Russian Federation are presented. The statistical materials of Rosstat are analyzed in order to determine the current trends in the development of the country’s construction market, the main factors that negatively affect the current stage of development of the industry infrastructure and the construction complex in Russia. An assessment of the implementation of the “Strategy for the innovative development of the construction industry of the Russian Federation until 2030” is given, and urgent problems that require immediate solutions are identified.

Mathematical Modeling of Photosynthesis and Analysis of Plant Productivity

Photosynthesis is the basis of the plant production process, which makes it extremely relevant to develop methods for evaluating and predicting it under various environmental conditions. The complexity of photosynthetic processes and the presence of numerous feedbacks in it make it important to develop complex approaches to its analysis, including mathematical modeling. This review analyzes mathematical models of photosynthetic processes at various levels (from processes in thylakoid membranes up to the level of the whole plant and ecosystem) and assesses potential ways to use them to study plant productivity. First of all, models describing the functioning of photosynthetic reaction centers (including primary charge separation, fluorescence, heat dissipation, etc.) are noted; they are widely used for interpreting experimental data in the analysis of photosynthetic processes in plants. The next group of models focuses on the description of electron transport by a photosynthetic electron transport chain or its parts (in particular, photosystem II). Such models can be used both for analyzing experimental data and for predicting damage to the photosynthetic apparatus under conditions of rapid changes in environmental conditions (for example, fluctuations in light intensity). Models that take into account the dark stage of photosynthesis rely on the idea of limiting stages for CO2 fixation or on detailed descriptions of Calvin–Benson cycle reactions. Models of this group can already be directly used to describe the production process. More complex models, in addition to describing photosynthesis, can also take into account the propagation of light and CO2 fluxes in the leaf and the interaction of photosynthesis with other physiological processes; this makes it possible to use such models to predict plant productivity under different conditions or under modifications of the photosynthetic apparatus. The review also analyzes “supra-organismal” photosynthetic models, which are based on fairly simple descriptions of photosynthetic processes and can be used to analyze productivity at the level of vegetation cover, natural or artificial ecosystems. In general, numerous mathematical models of photosynthesis at various levels are aimed at solving a wide range of research and practical problems. In particular, they can be potentially used to assess violations of crop productivity in unstable growing conditions or to optimize it in stable protected ground conditions. A promising direction for the development of photosynthetic modeling is the integration of individual models of various levels into a single photosynthesis modeling environment.

High-Performance Photovoltaic Constant Power Generation Control With Rapid Maximum Power Point Estimation

Photovoltaic (PV) constant power generation (CPG) control is regarded as an advanced active power control by limiting the maximum feed-in power in order to avoid the adverse impacts of high-penetration PV systems such as overloading and overvoltage. Conventional CPG strategies show obvious limitations in terms of the dynamics response, oscillations during the steady state, and the estimation speed of limited power points (LPPs). In this article, a novel CPG control with the rapid approach to LPPs is proposed with the estimation of maximum power point (MPP), which guarantees fast converging speed in response to rapid changes in environmental conditions and low power oscillations for the steady state. Specifically, the proposed control allocates the operating point at the left-hand side of the MPP, which can not only avoid the instability issue but also simplify the MPP and LPP estimation according to the single-diode PV equivalent model. Furthermore, based on the estimated available power $P_{\rm avi}$, the proposed CPG control contributes a direct solution in approaching the region around LPP or MPP, which improves the converging speed under environmental-changing conditions. Thus, regardless of the changes in irradiance or temperature, high-performance and reliable operation are ensured by switching the maximum power point tracking mode and CPG mode smoothly. The proposed control can be directly applied for the existing PV system and no additional hardware devices such as irradiance sensors are required, which is cost effective. A systematic comparison of the proposed control with other advanced CPG strategies was made under various scenarios and the advantages of the proposed control were validated experimentally.