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Mosquitoes transmit viruses that affect public health in tropical regions. Identifying factors that influence their fitness can help control mosquito-borne diseases. We investigated the impacts of predation risk effects, from a fish predator, and food availability on the oviposition behavior of Aedes aegypti. We hypothesize that predation risk and food availability interactively affect Ae. aegypti oviposition. Gravid Ae. aegypti females were offered oviposition sites with all possible combinations of predation risk (with vs. without predator cues) and food availability (low vs. high). We found a significant interaction between predation risk and food availability. The magnitude of oviposition and the probability of egg laying in high food availability treatments exceeded the values of low food availability treatments, but only in treatments without predation risk. Predation risk critically modulated the effects of food availability on the oviposition of Ae. aegypti. This study demonstrates the interplay between predation risk and food availability in controlling mosquito-borne diseases. [ABSTRACT FROM AUTHOR]

In order to provide a reference for the implementation of fine ecological environment management and differentiated management and control of ecological governance in the Yellow River Basin, the value of 11 ecosystem services (ESVS) in 4 categories in the Yellow River Basin from 1995 to 2020 was calculated by using the "equivalent factor method of value per unit area", the trade-offs and synergies be- tween various ecosystem services in the Yellow River Basin in six periods were measured by Pearson correlation analysis, and the spatial autocorrelation was used to delineate the ecological management zones of the Yellow River Basin in 2020. The results show that: during the study period, the ESV in the Yellow River Basin show an increasing trend. However, in terms of land types, the proportion of ESV in farm- land, wetlands, and deserts decrease, while the trend of ESV changes in forests, grasslands, and water bodies is opposite. The proportion of supply services, support services and cultural services all show a downward trend, while regulatory services and support services constitute the main body of regional ecosystem service value. Spatially, the unit ecosystem service value is concave in the east-west direction and convex in the north-south direction. Correlation analysis shows that there is a significant positive correlation between the various ecosystem services in the Yellow River Basin, and the strong synergistic relationship accounted for 47.27%, indicating that there is a synergistic relationship be- tween ecosystem services in the Yellow River Basin during the study period. The 410 research units of the Yellow River Basin in 2020 are di- vided into 4 first level divisions and 13 second level divisions, and the corresponding ecological management measures are proposed. [ABSTRACT FROM AUTHOR]

ABSTARCTFiscal policy allocation is not purely determined by the labour-capital conflict, but increasingly around cross-class housing coalitions. Although rising house prices are conventionally understood as drivers of fiscal austerity, this view has been challenged. Alternatively, governments may use fiscal policies to support house price growth to meet the primary economic interests of homeowners and compensate non-homeowners through the welfare system. Using an econometric analysis of 19 advanced economies between 1980 and 2018, we show house prices have positive effects on taxation revenue as well as fiscal spending on public investment, welfare and education. A second multi-level analysis provides a political explanation of this observed outcome by demonstrating parties respond to rising house prices by proposing more welfare and public investment spending in their manifestos. Conterminously rising house prices and rents also lead to greater welfare spending, suggesting governments use fiscal policy to protect those excluded from homeownership from labour market risks. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) demonstrates various opportunities and risks. Our study explores the trade-off of AI technology, including existential risks. We develop a theory and a Bayesian simulation model in order to explore what is at stake. The study reveals four tangible outcomes: (i) regulating existential risks has a boundary solution of either prohibiting the technology or allowing a laissez-faire regulation. (ii) the degree of 'normal' risks follows a trade-off and is dependent on AI-intensity. (iii) we estimate the probability of 'normal' risks to be between 0.002% to 0.006% over a century. (iv) regulating AI requires a balanced and international approach due to the dynamic risks and its global nature. [ABSTRACT FROM AUTHOR]

Life history trade‐offs are one of the central tenets of evolutionary demography. Trade‐offs, depicting negative covariances between individuals' life history traits, can arise from genetic constraints, or from a finite amount of resources that each individual has to allocate in a zero‐sum game between somatic and reproductive functions. While theory predicts that trade‐offs are ubiquitous, empirical studies have often failed to detect such negative covariances in wild populations. One way to improve the detection of trade‐offs is by accounting for the environmental context, as trade‐off expression may depend on environmental conditions. However, current methodologies usually search for fixed covariances between traits, thereby ignoring their context dependence. Here, we present a hierarchical multivariate ‘covariance reaction norm’ model, adapted from Martin (2023), to help detect context dependence in the expression of life‐history trade‐offs using demographic data. The method allows continuous variation in the phenotypic correlation between traits. We validate the model on simulated data for both intraindividual and intergenerational trade‐offs. We then apply it to empirical datasets of yellow‐bellied marmots (Marmota flaviventer) and Soay sheep (Ovis aries) as a proof‐of‐concept showing that new insights can be gained by applying our methodology, such as detecting trade‐offs only in specific environments. We discuss its potential for application to many of the existing long‐term demographic datasets and how it could improve our understanding of trade‐off expression in particular, and life history theory in general. [ABSTRACT FROM AUTHOR]

Plant biomass allocation is mainly affected by the environment where each individual grows. In this sense, through the rapid global expansion of impermeable areas, urbanization has strong, albeit poorly understood, consequences on the biomass allocation of plants found in this environment. Nevertheless, the comprehension of biomass allocation processes in urban shrubs remains unclear, because most studies of urban ecology focus on tree species. This is an important gap of knowledge because a great part of urban vegetation is composed of shrubs and their association with trees have positive impacts in urban ecosystem services. In this study, we explored the ecological and potential selective pressure effects of an urbanization gradient on the biomass allocation patterns of aboveground organs of Turnera subulata, a widely distributed tropical shrub. We have demonstrated that, for certain reproductive organs, biomass allocation decreases in locations with higher urbanization. Unlike expected, the biomass of vegetative organs was not affected by urbanization, and we did not observe any effect of urbanization intensity on the variance in biomass allocation to vegetative and reproductive organs. We did not record urbanization-mediated trade-offs in biomass allocation for reproductive and vegetative organs. Instead, the biomass of these structures showed a positive relationship. Our data suggest that urbanization does not result in radical changes in biomass allocation of T. subulata, and neither in the variation of these traits. They indicate that the ability of T. subulata to thrive in urban environments may be associated with life history and morphological mechanisms. Our findings contribute to the understanding of shrub plant responses to urbanization and highlight urbanization as a potential factor in resource allocation differences for different structures and functions in plants living in these environments. [ABSTRACT FROM AUTHOR]

Summary: Securing agricultural supplies for the increasing population without negative impacts on environment demands new crop varieties with higher yields, better quality, and stronger stress resilience. But breeding such super crop varieties is restrained by growth–defense (G–D) trade‐off. MicroRNAs (miRNAs) are versatile regulators of plant growth and immune responses, with several being demonstrated to simultaneously regulate crop growth and defense against biotic stresses and to balance G–D trade‐off. Increasing evidence also links miRNAs to the metabolism and signaling of phytohormones, another type of master regulator of plant growth and defense. Here, we synthesize the reported functions of miRNAs in crop growth, development, and responses to bio‐stressors, summarize the regulatory scenarios of miRNAs based on their relationship with target(s), and discuss how miRNAs, particularly those involved in crosstalk with phytohormones, can be applied in balancing G–D trade‐off in crops. We also propose several open questions to be addressed for adopting miRNAs in balancing crop G–D trade‐off. [ABSTRACT FROM AUTHOR]

Regeneration, regrowing lost and injured body parts, is an ability that generally declines with age or developmental transitions (i.e. metamorphosis, sexual maturation). Regeneration is also an energetically costly process, and trade-offs occur between regeneration and other costly processes such as growth, or sexual reproduction. Here we investigate the interplay of regeneration, reproduction, and developmental stage in the segmented worm Platynereis dumerilii. P. dumerilii can regenerate its whole posterior body axis, along with its reproductive cells, thereby having to carry out the two costly processes (somatic and germ cell regeneration) after injury. We specifically examine how developmental stage affects the success of germ cell regeneration and sexual maturation in developmentally young versus developmentally old organisms. We hypothesized that developmentally younger individuals (i.e. with gametes in early mitotic stages) will have higher regeneration success than the individuals at developmentally older stages (i.e. with gametes undergoing meiosis and maturation). Surprisingly, older amputated worms grew faster and matured earlier than younger amputees. To analyze germ cell regeneration during and after posterior regeneration, we used Hybridization Chain Reaction for the germline marker vasa. We found that regenerated worms start repopulating new segments with germ cell clusters as early as 14 days post amputation. In addition, vasa expression is observed in a wide region of newly-regenerated segments, which appears different from expression patterns during normal growth or regeneration in worms before gonial cluster expansion. [Display omitted] • Platynereis dumerilii regenerates germ cells during posterior body axis regeneration. • Worms amputated at three developmental stages were tested for fecundity. • Time to reach sexual maturation after regeneration depends on the developmental stage. • Development, regeneration, and reproduction involve stage-specific trade-offs. [ABSTRACT FROM AUTHOR]

Forests provide many different ecosystem services (ESs) to society. We divide these services into three main groups: provisioning, regulating and cultural. The services themselves are usually interrelated, so changes in the level of one of these services can affect the others. Depending on the nature of the mutual relationship, a distinction is made between trade-off and synergy. Understanding the relationships between services in a given area, time period and scale can support conscious management of forest resources, taking into account the concept of ES. This article aims to systematically review the literature with the aim of identifying the relationships between the services and the factors that influence these relationships. Particular attention was paid to the provisioning service, i.e., timber harvesting, and its relationships with other services, taking into account different variants of forest management. The literature search was conducted using the SCOPUS database, which was searched for scientific articles published between 2005 and December 2023 containing the following terms: "ecosystem services" AND "forest" AND "bundle" or "ecosystem services" AND "forest" AND "synergy" or "ecosystem services" AND "forest" AND "trade-off". The query resulted in 825 records, of which 55 articles were subjected to a detailed content analysis using a standardised procedure. The results show that most studies analysed the relationships between timber harvesting and biodiversity, carbon storage/sequestration and water erosion. Cultural Ecosystem Services were only examined in a few studies. In most cases, timber harvesting is at trade-off with cultural and regulating services. Many factors influence the supply of services and the relationship between them: climate change, forest management scenarios, temporal and spatial scale of the simulation, species composition and age class or more generally the structure of the forest stand, the history of the study area, its location, habitat productivity and geomorphology. The results show that further work is needed in the area of ES in order to apply this concept in forest management. [ABSTRACT FROM AUTHOR]

Agroecological farming is widely considered to reconcile improved working and living conditions of farmers while promoting social, economic, and ecological sustainability. However, most existing research primarily focuses on relatively narrow trade-offs between workload, economic and ecological outcomes at farm level and overlooks the critical role of contextual factors. This article conducts a critical literature review on the complex nature of agroecological farm work and proposes the holistic concept of sustainable farm work (SFW) in agroecology together with a heuristic evaluation framework. The latter was applied to ten case studies to test its relevance, affirming positive outcomes of agroecology on SFW, such as improved food sovereignty, biodiversity conservation, and social inclusiveness, but also showing trade-offs, including increased workload and potential yield reductions. Further, results show that contextual factors, such as policy support, market regulation, and access to resources, heavily influence the impact of agroecological practices on SFW. This article strongly argues for the importance of a holistic understanding of SFW and its contextualization within multiple socio-ecological system levels. The proposed framework establishes clear relationships between agroecology and SFW. An explicit recognition of these multidimensional relationships is essential for maximizing positive outcomes of agroecology in different contexts and fostering SFW. On a theoretical level, this research concludes that, from a holistic perspective, work is an entry point to studying the potential of agroecology to drive a sustainable agroecological transition in economic, social, and ecological terms. [ABSTRACT FROM AUTHOR]

Vibrio parahaemolyticus is a food-borne pathogen, which is often isolated from various seafood products. In this study, two kinds of bacteriophages was isolated from the offshore sediments samples. The anti-phage mutant strain were obtained after seventeen rounds of co-culture of Vibrio parahaemolyticus and mixed bacteriophage, multigroup sequencing was carried out on spontaneous the anti-phage mutant strain and the wild-type strain. We used the Sanger sequencing to verify the accuracy of the mutation sites. Biolog GEN III MicroPlates were used to evaluate the metabolic capacity of wild-type strains and the anti-phage mutant strain. In this study, we found that with flaG gene (slight homology to N terminus of multiple flagellins) mutated, making the bacteriophage unable to absorb to the cell surface of the host. And, the growth competitiveness of the anti-phage mutant strain is lower than the wild-type strain. These results indicated that the fitness cost, including loss of the growth competitiveness, constitutes a barrier to the prevalence of these defense mechanisms. And the selection pressure on different anti-phage strategies depends on the trade-off between mortality imposed by bacteriophages and fitness cost of the defense strategy under the given environmental conditions. In conclusion, this study provides valuable insights into the phagehost interaction and phage resistance in Vibrio parahaemolyticus. Our study provided knowledge for the evolutionary adaption of bacteria against the bacteriophage, which could add more information to understand the phage resistance mechanism before applying in the industry. [ABSTRACT FROM AUTHOR]

Global land-use changes impact soil's ability to perform essential functions. This study investigates whether soil organic carbon (SOC) can be conserved without altering land use in traditional farming systems and degraded natural forests, focusing on 'disturbed' agricultural soils and 'undisturbed' forest soils. We also examine the influence of dominant crops on SOC within the top 30 cm of soil in data-deficient regions of Nepal. Using a multi-stage cluster sampling design, we tested 12 regression models to identify the best relationships among variables such as SOC, soil bulk density (BD), pH, dominant crops, climate, topography, and management practices. Our analysis revealed similar SOC levels in both disturbed and undisturbed soils, indicating significant degradation in forested areas, whereas traditional farming systems could support SOC and preserve farm-based indigenous knowledge alongside food security. Further, SOC stocks varied significantly (p < 0.05) across different cropping systems, suggesting that managing dominant crops could be a strategy to optimize SOC, with these crops serving as indicators. Additionally, our results show that the weak linear correlation between SOC and BD in regularly disturbed soils, such as farmlands, where anthropogenic activities frequently alter soil bulk density, may be misleading when estimating bulk density-dependent SOC. This finding suggests the need for further research into varying degrees of anthropogenic disturbance in soil to confirm these results. While the site-specific nature of the findings warrants caution with respect to generalization, they provide valuable insights for carbon monitoring, climate actions, ecosystem health, and land-use management in similar traditional farming systems and degraded forests, particularly in data-poor regions. [ABSTRACT FROM AUTHOR]

Pathogen infection and conspecific density may considerably affect key life‐history traits of organisms. For naturally aggregating species, even low concentrations of pathogens or high larval densities may have detrimental effects. However, the detailed influence of these factors, particularly their interaction effect, is often overlooked in ecological and life‐history studies. To investigate the effects of conspecific density and pathogen infection on life‐history traits, we explored the influence of larval density (1 and 5 larvae cm−2, i.e., low and high density, respectively) on phenoloxidase (PO) activity, body mass, and development time of Hermetia illucens L. (Diptera: Stratiomyidae) larvae in the presence of two strains of the entomopathogenic fungus (EPF) Beauveria bassiana (Bals.‐Criv.) Vuill. We observed higher PO activity in EPF‐treated larvae than in the untreated control and a pronounced difference in PO activity between the two EPF‐strain treatments. Larvae reared at high density and treated with EPF showed higher PO activity than untreated larvae at low density. The EPF‐treated larvae and larvae reared at high density had longer larval periods than untreated larvae and larvae reared at low density, respectively. Larvae reared at high density also achieved reduced prepupal and pupal masses compared to conspecifics at low density. Interestingly, untreated larvae only achieved higher prepupal and pupal masses at low density, whereas at high density, the pattern was reversed (treated individuals had higher pupal masses). Overall, our results demonstrate that high density and fungal pathogens both induce a higher immune response compared to low density and pathogen‐free environments, but this comes with a cost of a longer larval period and reduced body mass. [ABSTRACT FROM AUTHOR]

Summary: Soybean is a typical short‐day crop, and most commercial soybean cultivars are restricted to a relatively narrow range of latitudes due to photoperiod sensitivity. Photoperiod sensitivity hinders the utilization of soybean germplasms across geographical regions. When grown in temperate regions, tropical soybean responds to prolonged day length by increasing the vegetative growth phase and delaying flowering and maturity, which often pushes the harvest window past the first frost date. In this study, we used CRISPR/LbCas12a to edit a North American subtropical soybean cultivar named 06KG218440 that belongs to maturity group 5.5. By designing one gRNA to edit the nuclear localization signal (NLS) regions of both E1 and E1Lb, we created a series of new germplasms with shortened flowering time and time to maturity and determined their favourable latitudinal zone for cultivation. The novel partial function alleles successfully achieve yield and early maturity trade‐offs and exhibit good agronomic traits and high yields in temperate regions. This work offers a straightforward editing strategy to modify subtropical and tropical soybean cultivars for temperate growing regions, a strategy that could be used to enrich genetic diversity in temperate breeding programmes and facilitate the introduction of important crop traits such as disease tolerance or high yield. [ABSTRACT FROM AUTHOR]

The Discrete Cosine Transform (DCT) is fundamental to high-capacity data hiding schemes due to its ability to condense signals into a few significant coefficients while leaving many high-frequency coefficients relatively insignificant. These high-frequency coefficients are often replaced with secret data, allowing for the embedding of many secret bits while maintaining acceptable stego signal quality. However, because high-frequency components still affect the stego signal's quality, preserving their structure is beneficial. This work introduces a method that maintains the structure of high-frequency DCT components during embedding through polynomial modeling. A scaled-down version of the secret signal is added to or subtracted from the polynomial-generated signal to minimize the error between the cover signal and the polynomial-generated signal. As a result, the stego image retains a structure similar to the original cover image. Experimental results demonstrate that this scheme improves the quality and security of the stego image compared to current methods. Notably, the technique's robustness is confirmed by its resistance to detection by deep learning methods, as a Convolutional Neural Network (CNN) could not distinguish between the cover and stego images. [ABSTRACT FROM AUTHOR]

Development and maintenance of neural architecture supporting learning and memory, as well as active storage of learnt information, are predicted to carry significant energetic costs. Here we explored whether the demands of learning about fitness-relevant stimuli come at a cost to the reproductive success of an insect model. Bumble bee (Bombus spp.) queens found nests alone, and early in the colony cycle must invest simultaneously in learning about rewarding floral resources and colony founding. We exposed queens of Bombus terrestris audax emerging from diapause to a 6-day reversal learning task and compared colony founding success of these individuals to two control groups that did not learn but received equal food. Additionally, we limited carbohydrate intake in half of queens across all treatments. Nutritionally stressed queens had a lower probability of egg laying, delayed nest initiation and lower offspring production compared with nutritionally unrestricted queens, suggesting resource availability at this life cycle stage is crucial to founding successful colonies and population growth. Nevertheless, potential energetic demands of learning did not reduce colony founding success in a laboratory set-up, even in nutritionally stressed groups. Our findings provide a rare real-world test of the costs associated with learning and suggest they do not affect reproductive potential in bumble bee queens. • Development and use of neural architecture carries potential energetic costs. • We test whether such costs compromise reproductive success in bumble bee queens. • The demands of learning did not affect colony founding success, even under stress. • Nutritional stress negatively affected egg laying and offspring production. • Resource-poor environments may affect bumble bee population dynamics. [ABSTRACT FROM AUTHOR]

The wire-electrical discharge machining (wire-EDM) is increasingly recommended for the machining of complex-shaped components with high surface finish and geometrical accuracy, specifically for difficult-to-machine advanced materials like Al-matrix composite (Al-MCs). The related research is primarily restricted to ex-situ Al-MCs, although in-situ ordered intermetallics reinforced Al-MCs are receiving growing attention due to their superior comprehensive mechanical properties. The present work deals with an Al-2Mg/20 vol.% in-situ Al3Fe composite manufactured by the reactive stir-casting method and focuses on its machining by wire-EDM via experimental and computational approaches. Experiments have been conducted following the response surface method (RSM) considering four process variables, namely, pulse-on time (TON), servo voltage (SV), peak current (IP) and wire feed rate (WFR). The integrity of the machined surfaces has been characterized by evaluating the change in surface chemistry (CSC) and surface roughness (SR), while the material removal rate (MRR) has been determined as the machining performance index. Analysis of variance (ANOVA) and RSM-based mathematical models reveal that TON is the most influencing parameter, and it raises MRR and SR but reduces CSC considerably. The optimization of machining conditions has been performed by metaheuristic approaches, namely, Teaching and Learning-based optimization (TLBO) and Artificial Bee Colony (ABC) apart from multi-objective RSM (MORSM) based on the trade-off analysis. The performances of TLBO and ABC techniques are found to be identical and provide much greater MRR at the cost of diminished surface integrity, i.e., higher SR and CSC, when compared with the MORSM technique. The robustness of the developed models has been validated by confirmatory experiments with a calculated overall error of ≤ ± 8%. Finally, the surface integrity aspects are reaffirmed and correlated with input variables through detailed characterizations of the machining surfaces by FESEM-EDS. [ABSTRACT FROM AUTHOR]

Purpose: Today, the sustainability and outreach of microfinance institutions (MFIs) are crucial to the success of microfinance and the sector's potential to make a lasting impact. The ability of MFIs to operate financially well without sacrificing their social goals has come under scrutiny. This study aims to identify the kind of relationships between the two objectives of MFIs in Ethiopia. Design/methodology/approach: This study investigated the association between the outreach and financial sustainability of Ethiopian MFIs from the years 2012 to 2021 using a balanced set of panel data. The study used secondary data and employed a descriptive research design and a quantitative research approach. To this end, random and fixed effects estimation models, as well as three-stage least squares, with the model of seemingly unrelated regression (SUR) are used. Findings: According to the study, outreach performance enables MFIs to achieve sustainability/financial performance. On the other side, MFI that are financially sound improve social performance. There was therefore no trade-off between the two objectives. Originality/value: As Ethiopia's microfinance sector shifts away from government and non-government backing and toward commercialization, such research is crucial. This aspect of the Ethiopian microfinance industry has gotten little consideration in research. The SUR model was used in the study together with random and fixed effect estimators, and the most reliable estimation result was chosen based on the necessary tests. [ABSTRACT FROM AUTHOR]

Background: Energy allocation between growth and reproduction determines puberty onset and fertility. In mammals, peripheral hormones such as leptin, insulin and ghrelin signal metabolic information to the higher centres controlling gonadotrophin-releasing hormone neurone activity. However, these observations could not be confirmed in lower vertebrates, suggesting that other factors may mediate the energetic trade-off between growth and reproduction. A bioinformatic and experimental study suggested co-regulation of the circadian clock, reproductive axis and growth-regulating genes in zebrafish. While loss-of-function of most of the identified co-regulated genes had no effect or only had mild effects on reproduction, no such information existed about the co-regulated somatostatin, well-known for its actions on growth and metabolism. Results: We show that somatostatin signalling is pivotal in regulating fecundity and metabolism. Knock-out of zebrafish somatostatin 1.1 (sst1.1) and somatostatin 1.2 (sst1.2) caused a 20–30% increase in embryonic primordial germ cells, and sst1.2−/− adults laid 40% more eggs than their wild-type siblings. The sst1.1−/− and sst1.2−/− mutants had divergent metabolic phenotypes: the former had 25% more pancreatic α-cells, were hyperglycaemic and glucose intolerant, and had increased adipocyte mass; the latter had 25% more pancreatic β-cells, improved glucose clearance and reduced adipocyte mass. Conclusions: We conclude that somatostatin signalling regulates energy metabolism and fecundity through anti-proliferative and modulatory actions on primordial germ cells, pancreatic insulin and glucagon cells and the hypothalamus. The ancient origin of the somatostatin system suggests it could act as a switch linking metabolism and reproduction across vertebrates. The results raise the possibility of applications in human and animal fertility. [ABSTRACT FROM AUTHOR]

Linking reproductive fitness with adaptive traits at the genomic level can shed light on the mechanisms that produce and maintain sex‐specific selection. Here, we construct a multigenerational pedigree to investigate sex‐specific selection on a maturation gene, vgll3, in a wild Atlantic salmon population. The vgll3 locus is responsible for ~40% of the variation in maturation (sea age at first reproduction). Genetic parentage analysis was conducted on 18,265 juveniles (parr) and 685 adults collected at the same spawning ground over eight consecutive years. A high proportion of females (26%) were iteroparous and reproduced two to four times in their lifetime. A smaller proportion of males (9%) spawned at least twice in their lifetime. Sex‐specific patterns of reproductive fitness were related to vgll3 genotype. Females showed a pattern of overdominance where vgll3*EL genotypes had three‐fold more total offspring than homozygous females. In contrast, males demonstrated that late‐maturing vgll3*LL individuals had two‐fold more offspring than either vgll3*EE or vgll3*EL males. Taken together, these data suggest that balancing selection in females contributes to the maintenance of variation at this locus via increased fitness of iteroparous vgll3*EL females. This study demonstrates the utility of multigenerational pedigrees for uncovering complex patterns of reproduction, sex‐specific selection and the maintenance of genetic variation. [ABSTRACT FROM AUTHOR]

Life‐history theory predicts that investment in reproduction should decrease survival (the 'cost of reproduction'). It is often assumed that energy allocation drives such trade‐offs, with limited energy available for both reproduction and survival. However, the underlying mechanisms remain poorly understood, maybe because survival costs of reproduction are only apparent when resources are limited. Here, we took advantage of a natural experiment created by fluctuating environmental conditions to compare energy expenditure of a seabird, the pelagic cormorant (Phalacrocorax pelagicus), between contrasting population‐scale scenarios of survival costs of reproduction. We used multi‐state capture–recapture modelling across 16 years to identify which breeding seasons induced high survival costs (survival ratebreeders < survival ratenon/failed breeders) and we concomitantly estimated energy expenditure of chick‐rearing males using time‐energy budget models across 4 years. Daily energy expenditure (DEE) of chick‐rearing pelagic cormorants varied significantly among years. However, survival costs of reproduction were observed in only 1 year, and contrary to our expectations, variation in DEE was not associated with population‐level survival costs. Similarly, at the individual level, DEE in 1 year did not predict the probability of being observed again at the colony in following years (apparent survival). Finally, DEE was independent of brood size and brood age, but older individuals tended to expend less energy than younger ones. Given the lack of an apparent energetic 'cost of reproduction', lower DEE in older birds could be due to improved efficiency rather than avoidance of costs in old birds. Although future studies should account for potential sex‐specific energetic constraints by including data on female energy expenditure, we conclude that a direct link between the rate of energy expenditure during breeding and subsequent survival is unlikely in this system. [ABSTRACT FROM AUTHOR]

In a natural context, many avian species exhibit the ability to assess and balance factors such as food availability, food quality, and energy expenditure when making foraging decisions. However, avian behaviours can also diverge from the predictions, influenced by a range of variables, including social behaviours, predation pressures, and individual personalities. Chilean flamingos, popular social birds native to South America, remain relatively underexplored in terms of their foraging ecology and the interplay between environmental conditions and foraging behaviours, especially within the context of conservation. To address this knowledge gap, we conducted a comprehensive study, collecting monthly physical and biological data from foraging flocks of Chilean flamingos at Lagoa do Peixe National Park, a vital contra-nuptial site located in southern Brazil, spanning from October 2021 to September 2022. We employed Generalized Linear Mixed Models to establish correlations between this dataset and the relative frequency and duration of four identified foraging behaviours: Pecking up, Head-dipping, Feet-trembling, and Dredging. Our findings substantiate that the foraging patterns exhibited by Chilean flamingos in this region are intricately linked to the trade-off between energy expenditure and the rewards obtained, primarily influenced by factors such as lagoon depth and the availability of food resources. Moreover, our results unveil a parabolic pattern in the distances maintained between individual flamingos in the flock, potentially attributed to facilitate foraging dynamics within larger groups, despite the concurrent increase in aggressive interactions. In summary, our study underscores the multifaceted variables that influence the foraging strategies of Chilean flamingos in a significant contra-nuptial area in southern Brazil. It sheds light on the behavioural adaptability of these birds and underscores the potential repercussions of this dynamic on individual and population performance and fitness. • Water depth, food type and food availability are the main variables influencing the foraging behaviors of Chilean flamingo in a natural environment; • There are a trade-off between energetic reward and energetic expenditure while performing different foraging behaviors; • The intra-flock distance also influence the foraging behaviors characteristics, with a balance between intraspecific competition and foraging facilitation; [ABSTRACT FROM AUTHOR]

In response to the COVID-19 pandemic, the Red Cross Society of China played a crucial role in distributing medical donations, but the initial efforts were inefficient and neglected medical personnel’s welfare. This study proposes a time-sensitive humanitarian distribution model that optimizes the social costs by integrating logistics and deprivation costs that cares about human suffering. We ues the Gini coefficient to evaluate delays in distribution, aiding trade-off analysis between logistics efforts and social welfare. Our findings show that the proposed model improves the Gini coefficient by an average of 33.96% across 500 scenarios. Additionally, investing 23.7% more in logistics costs reduces the Gini coefficient by 0.1, enhancing the social welfare of medical supplies distribution. Sensitivity analysis examines the impact of time delay and cost investment on the Gini coefficient, offering insights into balancing logistics investments and social welfare. [ABSTRACT FROM AUTHOR]

[Display omitted] • The cotton miR319c- MYB33 module regulates trade-offs between plant growth and defense. • GhGAI1 interacts with GhMYB33 and affects its transcriptional activity. • GhMYB33 binds to the GhSPL9 promoter and activates its expression to increase plant height. • Under Verticillium dahliae infection, GhMYB33 expression is repressed to promote GhDFR1 transcription, increasing plant resistance. Sessile plants engage in trade-offs between growth and defense capacity in response to fluctuating environmental cues. MYB is an important transcription factor that plays many important roles in controlling plant growth and defense. However, the mechanism behind how it keeps a balance between these two physiological processes is still largely unknown. Our work focuses on the dissection of the molecular mechanism by which GhMYB33 regulates plant growth and defense. The CRISPR/Cas9 technique was used to generate mutants for deciphering GhMYB33 functions. Yeast two-hybrid, luciferase complementary imaging, and co-immunoprecipitation assays were used to prove that proteins interact with each other. We used the electrophoretic mobility shift assay, yeast one-hybrid, and luciferase activity assays to analyze GhMYB33 acting as a promoter. A β-glucuronidase fusion reporter and 5′ RNA ligase mediated amplification of cDNA ends analysis showed that ghr-miR319c directedly cleaved the GhMYB33 mRNA. Overexpressing miR319c-resistant GhMYB33 (rGhMYB33) promoted plant growth, accompanied by a significant decline in resistance against Verticillium dahliae. Conversely, its knockout mutant, ghmyb33, demonstrated growth restriction and concomitant augmentation of V. dahliae resistance. GhMYB33 was found to couple with the DELLA protein GhGAI1 and bind to the specific cis-elements of GhSPL9 and GhDFR1 promoters, thereby modulating internode elongation and plant resistance in V. dahliae infection. The ghr-miR319c was discovered to target and suppress GhMYB33 expression. The overexpression of ghr-miR319c led to enhanced plant resistance and a simultaneous reduction in plant height. Our findings demonstrate that GhMYB33 encodes a hub protein and controls the expression of GhSPL9 and GhDFR1, implicating a pivotal role for the miR319c- MYB33 module to regulate the trade-offs between plant growth and defense. [ABSTRACT FROM AUTHOR]

The relay feedback auto-tuning method, which was an early commercialized approach, has maintained its popularity due to its simplicity and robustness. However, the classical proportional integral derivative (PID) controller auto-tuning method often results in unacceptable overshoot, especially for integrating and higher-order processes. By integrating the TID controller with the relay feedback technique, we significantly enhance dynamic control performance without relying on prior knowledge of the system. However, the direct application of the classical auto-tuning method to the TID controller encounters challenges due to the additional fractional-order transfer function s − 1 n . Therefore, we have developed a fractional-order Ziegler–Nichols (FOZ-N) approach, specifically designed to adjust the parameters of the TID controller. The proposed FOZ-N method is fast, simple, and capable of achieving the desired performance. In contrast to the previous Ziegler–Nichols tuning method, the TID controller parameters K t and K i are determined to shift the critical point (− 1 / K u , j 0) to the FOZ-N point (− 0. 5 , − j 0. 7) on the Nyquist curve, ensuring system robustness and dynamic performance. The impact of the fractional order parameter s − 1 n and ratio r is explored through time-domain analysis, where these parameters are determined to ensure optimal dynamic performance. Additionally, we provide a detailed tuning procedure along with a helpful example. To demonstrate the advantages of the proposed auto-tuning TID controller over the Ziegler–Nichols PID controller, Optimal PID controller, simple internal model control (SIMC) PID controller, and Ziegler–Nichols FOPID controller, we present a simulation illustration involving multiple different systems. To validate the practical outcomes of this paper, we present experimental results on the temperature control of a Peltier cell. • A fast auto-tuning TID controller is introduced without needing accurate plant model. • A fractional-order Ziegler-Nichols approach is presented for TID controller. • Experiments show the proposed TID controller surpasses traditional controllers. [ABSTRACT FROM AUTHOR]

Animals exhibit a variety of strategies to avoid predation; spiders are no exception. We explored whether web-building spiders that differ in the architecture of their webs exhibit morphologies or behaviors suggestive of antipredator strategies that trade-off with the degree of protection offered by their webs. Spiders build webs of 3 types: the more protected tangles and sheet-and-tangles, which are three-dimensional (3D), and the more exposed orbs, which are two-dimensional (2D), both with or without a refuge. We hypothesize that spiders whose webs offer greater protection—a 3D architecture or a refuge—will be less likely to be armored or brightly colored when compared to spiders without these protections. We collected data on 446 spiders and their webs in 2 lowland tropical rainforest sites. We show that 2D web builders with no refuges tended to be brightly colored (background contrasting) and spiny (spiky), whereas those with refuges tended to blend against the background of their refuges. 3D web builders, on the other hand, were neither cryptic nor brightly colored nor armored but were more likely to drop out of the web upon simulated predator contact. These results support the hypothesis that web-building spiders tend to be protected either through the architecture of their webs or their morphology and behavior, suggesting a trade-off between different types of antipredator strategies. [ABSTRACT FROM AUTHOR]

Abstract Artificial intelligence (AI) demonstrates various opportunities and risks. Our study explores the trade-off of AI technology, including existential risks. We develop a theory and a Bayesian simulation model in order to explore what is at stake. The study reveals four tangible outcomes: (i) regulating existential risks has a boundary solution of either prohibiting the technology or allowing a laissez-faire regulation. (ii) the degree of ‘normal’ risks follows a trade-off and is dependent on AI-intensity. (iii) we estimate the probability of ‘normal’ risks to be between 0.002% to 0.006% over a century. (iv) regulating AI requires a balanced and international approach due to the dynamic risks and its global nature.

Abstract Background Energy allocation between growth and reproduction determines puberty onset and fertility. In mammals, peripheral hormones such as leptin, insulin and ghrelin signal metabolic information to the higher centres controlling gonadotrophin-releasing hormone neurone activity. However, these observations could not be confirmed in lower vertebrates, suggesting that other factors may mediate the energetic trade-off between growth and reproduction. A bioinformatic and experimental study suggested co-regulation of the circadian clock, reproductive axis and growth-regulating genes in zebrafish. While loss-of-function of most of the identified co-regulated genes had no effect or only had mild effects on reproduction, no such information existed about the co-regulated somatostatin, well-known for its actions on growth and metabolism. Results We show that somatostatin signalling is pivotal in regulating fecundity and metabolism. Knock-out of zebrafish somatostatin 1.1 (sst1.1) and somatostatin 1.2 (sst1.2) caused a 20–30% increase in embryonic primordial germ cells, and sst1.2 −/− adults laid 40% more eggs than their wild-type siblings. The sst1.1 −/− and sst1.2 −/− mutants had divergent metabolic phenotypes: the former had 25% more pancreatic α-cells, were hyperglycaemic and glucose intolerant, and had increased adipocyte mass; the latter had 25% more pancreatic β-cells, improved glucose clearance and reduced adipocyte mass. Conclusions We conclude that somatostatin signalling regulates energy metabolism and fecundity through anti-proliferative and modulatory actions on primordial germ cells, pancreatic insulin and glucagon cells and the hypothalamus. The ancient origin of the somatostatin system suggests it could act as a switch linking metabolism and reproduction across vertebrates. The results raise the possibility of applications in human and animal fertility.

Introduction: Sessile plants engage in trade-offs between growth and defense capacity in response to fluctuating environmental cues. MYB is an important transcription factor that plays many important roles in controlling plant growth and defense. However, the mechanism behind how it keeps a balance between these two physiological processes is still largely unknown. Objectives: Our work focuses on the dissection of the molecular mechanism by which GhMYB33 regulates plant growth and defense. Methods: The CRISPR/Cas9 technique was used to generate mutants for deciphering GhMYB33 functions. Yeast two-hybrid, luciferase complementary imaging, and co-immunoprecipitation assays were used to prove that proteins interact with each other. We used the electrophoretic mobility shift assay, yeast one-hybrid, and luciferase activity assays to analyze GhMYB33 acting as a promoter. A β-glucuronidase fusion reporter and 5′ RNA ligase mediated amplification of cDNA ends analysis showed that ghr-miR319c directedly cleaved the GhMYB33 mRNA. Results: Overexpressing miR319c-resistant GhMYB33 (rGhMYB33) promoted plant growth, accompanied by a significant decline in resistance against Verticillium dahliae. Conversely, its knockout mutant, ghmyb33, demonstrated growth restriction and concomitant augmentation of V. dahliae resistance. GhMYB33 was found to couple with the DELLA protein GhGAI1 and bind to the specific cis-elements of GhSPL9 and GhDFR1 promoters, thereby modulating internode elongation and plant resistance in V. dahliae infection. The ghr-miR319c was discovered to target and suppress GhMYB33 expression. The overexpression of ghr-miR319c led to enhanced plant resistance and a simultaneous reduction in plant height. Conclusion: Our findings demonstrate that GhMYB33 encodes a hub protein and controls the expression of GhSPL9 and GhDFR1, implicating a pivotal role for the miR319c-MYB33 module to regulate the trade-offs between plant growth and defense.

The slow-fast continuum is a commonly used framework to describe variation in life-history strategies across species. Individual life histories have also been assumed to follow a similar pattern, especially in the pace-of-life syndrome literature. However, whether a slow-fast continuum commonly explains life-history variation among individuals within a population remains unclear. Here, we formally tested for the presence of a slow-fast continuum of life histories both within populations and across species using detailed long-term individual-based demographic data for 17 bird and mammal species with markedly different life histories. We estimated adult lifespan, age at first reproduction, annual breeding frequency, and annual fecundity, and identified the main axes of life-history variation using principal component analyses. Across species, we retrieved the slow-fast continuum as the main axis of life-history variation. However, within populations, the patterns of individual life-history variation did not align with a slow-fast continuum in any species. Thus, a continuum ranking individuals from slow to fast living is unlikely to shape individual differences in life histories within populations. Rather, individual life-history variation is likely idiosyncratic across species, potentially because of processes such as stochasticity, density dependence, and individual differences in resource acquisition that affect species differently and generate non-generalizable patterns across species.

The trade-off policy framing has been a central feature of green growth since the 1980s, employed to frame the countervailing spheres of social, environmental, and economic policies purported to ensure the sustainable development of the global economy. This article argues that so central has this framing become that IPE scholars have tended to focus on different types of 'greenable' growth observable within capitalism, rather than question the prospect of greening growth itself. Far from value-free, the trade-off framing is ultimately determined by the structural imperative for economic growth, veiling the disciplines anthropocentric ontology in a normative or objective guise. To account for the tacit prioritization, the trade-in policy framing – the compromising of environmental objectives to accommodate the growth imperative – is advanced as an alternative framing. The trading-in of environmental policies is legitimized through political-industrial narratives, of which three, the (i) consequential, (ii) allay, and (iii) finance are outlined in this analysis. [ABSTRACT FROM AUTHOR]

Security and privacy have become major issues. Although no one seriously claims that privacy and security are identical, most sources treat them as if they are. Differentiating between privacy and security is essential, for example, in those situations where there is a trade-off between the two concepts, or when a regulator imposes rules concerning privacy or security or both. Moreover, differentiation can support the selection of proper means of defence. Therefore, there is a gap between the need to differentiate and the availability of an appropriate methodology to do so. This article introduces a robust methodology for differentiating between privacy and security, based on four basic components: the target of the attack, the nature of the cost, the presence of a trade-off, and the existence of consent. Since many situations involve both privacy and security, the methodology ranks their level independently. The research addresses several goals: alignment with the prevalent definitions and concepts in the literature; achieving objectivity; and a non-dichotomous classification. The application of this methodology was demonstrated in an empirical study with $n = 155$ n = 155 valid participants. The empirical study indicated significant differences between intuitive classification and methodology-based classification, thereby emphasising the need for this methodology. [ABSTRACT FROM AUTHOR]

Police forces around the world are adapting to optimize their current practices through intelligence‐led and evidence‐based policing. This trend towards increasingly data‐driven policing also affects daily police routines. Police patrol is a complex routing problem because of the combination of reactive and proactive tasks. Moreover, a trade‐off exists between these two patrol tasks. In this article, a police patrol algorithm that combines both policing strategies into one strategy and is applicable to everyday policing, is developed. To this end, a discrete event simulation model is built that compares a p‐median redeployment strategy with several benchmark strategies, that is, p‐median deployment, hotspot (re)deployment, and random redeployment. This p‐median redeployment strategy considers the continuous alternation of idle and non‐idle vehicles. The mean response time was lowest for the p‐median deployment strategy, but the redeployment strategy results in better coverage of the area and low mean response times. [ABSTRACT FROM AUTHOR]

China’s Grain to Green Program (GTGP), which is one of the largest payments for ecosystem services (PES) in the world, has made significant ecological improvements to the environment. However, current understanding of its outcomes on the social-ecological system (SES) remains limited. Therefore, taking the South China Karst as an example, a SES resilience evaluation index system was constructed followed by an exploratory spatial analysis, root mean square error, and Self-Organizing Feature Map to clarify the spatiotemporal changes and relationship of SES resilience, achieve the zoning of SES resilience and provide restoration measures. The results showed an upward trend in social resilience from 2000 to 2020, especially its subsystem of social development. Regional ecological resilience was stable, owing to a slightly declined ecosystem services and increased landscape pattern. Spatially, nearly half of the counties exhibited a distribution mismatch in SES resilience. There was an obvious inverted U-shaped relationship of SES resilience, indicating a clear threshold effect, and the constraint relationship of SES resilience eased over time, demonstrating the effectiveness of the ecological restoration program. GTGP played a positive role in reducing regional SES trade-off, but this positive effect was limited, reflecting the limitations of overemphasizing the conversion from farmland to forest and grassland. Regional SES resilience can be divided into four clusters, which were the key optimization zone for social system, the SES resilience safety zone, the key restoration zone for SES resilience, and the key optimization zone for ecological system. Adaptive adjustments for the GTGP in these zones should be taken to achieve maximum SES benefits in the future.

Balancing the biomass requirements of different functions for the purpose of population reproduction and persistence can be challenging for alpine plants due to extreme environmental stresses from both above- and below-ground sources. The presence of ecosystem engineers in alpine ecosystems effectively alleviates microenvironmental stresses, hence promoting the survival and growth of other less stress-tolerant species. However, the influence of ecosystem engineers on plant resource allocation strategies remains highly unexplored. In this study, we compared resource allocation strategies, including biomass accumulation, reproductive effort (RE), root fraction (RF), as well as relationships between different functions, among four alpine plant species belonging to Gentianaceae across bare ground, tussock grass-, cushion-, and shrub-engineered microhabitats. Shrubengineered microhabitats exerted the strongest effects on regulating plant resource allocation patterns, followed by tussock grass- and cushionengineered microhabitats. Additionally, apart from microhabitats, population background and plant life history also significantly influenced resource allocation strategies. Generally, plants established within engineered microhabitats exhibited higher biomass accumulation, as well as increased flower, leaf and stem production. Furthermore, individuals within engineered microhabitats commonly displayed lower RF, indicating a greater allocation of resources to above-ground functions while reducing allocation to root development. RE of annual plants was significantly higher than that of perennial plants. However, individuals of annual plants within engineered microhabitats showed lower RE compared to their counterparts in bare ground habitats; whereas perennial species demonstrated similar RE between microhabitat types. Moreover, RE was generally independent of plant size in bare-ground habitats but exhibited size-dependency in certain populations for some species within specific engineered microhabitat types. However, size-dependency did exist for absolute reproductive and root biomass allocation in most of the cases examined here. No trade-offs were observed between flower mass and flower number, nor between leaf mass and leaf number. The capacity of ecosystem engineers to regulate resource allocation strategies in associated plants was confirmed. However, the resource allocation patterns resulted synergistically from the ecosystem engineering effects, population environmental backgrounds, and plant life history strategies. In general, such regulations can improve individual survival and reproductive potential, potentially promoting population persistence in challenging alpine environments. [ABSTRACT FROM AUTHOR]

Summary Epistasis refers to nonallelic interaction between genes that cause bias in estimates of genetic parameters for a phenotype with interactions of two or more genes affecting the same trait. Partitioning of epistatic effects allows true estimation of the genetic parameters affecting phenotypes. Multigenic variation plays a central role in the evolution of complex characteristics, among which pleiotropy, where a single gene affects several phenotypic characters, has a large influence. While pleiotropic interactions provide functional specificity, they increase the challenge of gene discovery and functional analysis. Overcoming pleiotropy‐based phenotypic trade‐offs offers potential for assisting breeding for complex traits. Modelling higher order nonallelic epistatic interaction, pleiotropy and non‐pleiotropy‐induced variation, and genotype × environment interaction in genomic selection may provide new paths to increase the productivity and stress tolerance for next generation of crop cultivars. Advances in statistical models, software and algorithm developments, and genomic research have facilitated dissecting the nature and extent of pleiotropy and epistasis. We overview emerging approaches to exploit positive (and avoid negative) epistatic and pleiotropic interactions in a plant breeding context, including developing avenues of artificial intelligence, novel exploitation of large‐scale genomics and phenomics data, and involvement of genes with minor effects to analyse epistatic interactions and pleiotropic quantitative trait loci, including missing heritability. [ABSTRACT FROM AUTHOR]

Summary: Nicotiana attenuata styles preferentially select pollen from among accessions with corresponding expression patterns of NaS‐like‐RNases (SLRs), and the postpollination ethylene burst (PPEB) is an accurate predictor of seed siring success. However, the ecological consequences of mate selection, its effect on the progeny, and the role of SLRs in the control of ethylene signaling remain unknown.We explored the link between the magnitude of the ethylene burst and expression of the SLRs in a set of recombinant inbred lines (RILs), dissected the genetic underpinnings of mate selection through genome‐wide association study (GWAS), and examined its outcome for phenotypes in the next generation.We found that high levels of PPEB are associated with the absence of SLR2 in most of the tested RILs. We identified candidate genes potentially involved in the control of mate selection and showed that pollination of maternal genotypes with their favored pollen donors produces offspring with longer roots. When the maternal genotypes are only able to select against nonfavored pollen donors, the selection for such positive traits is abolished.We conclude that plants' ability of mate choice contributes to measurable changes in progeny phenotypes and is thus likely a target of selection. [ABSTRACT FROM AUTHOR]

Trade-offs are central to life history theory and play a role in driving life history diversity. They arise from a finite amount of resources that need to be allocated among different functions by an organism. Yet covariation of demographic rates among individuals frequently do not reflect allocation trade-offs because of variation in resource acquisition. The covariation of traits among individuals can thus vary with the environment and often increases in benign environments. Surprisingly, little is known about how such context-dependent expression of trade-offs among individuals affect population dynamics across species with different life histories. To study their influence on population stability, we develop an individual-based simulation where covariation in demographic rates varies with the environment. We use it to simulate population dynamics for various life histories across the slow-fast pace-of-life continuum. We found that the population dynamics of slower life histories are relatively more sensitive to changes in covariation, regardless of the trade-off considered. Additionally, we found that the impact on population stability depends on which trade-off is considered, with opposite effects of intraindividual and intergenerational trade-offs. Last, the expression of different trade-offs can feed back to influence generation time through selection acting on individual heterogeneity within cohorts, ultimately affecting population dynamics. [ABSTRACT FROM AUTHOR]

Body color polyphenism is common in Diaphorina citri. Previous studies compared physiological characteristics in D. citri, but the ecological and biological significance of its body color polyphenism remains poorly understood. We studied the ecological and molecular effects of stressors related to body color in D. citri. Crowding or low temperature induced a high proportion of gray morphs, which had smaller bodies, lower body weight, and greater susceptibility to the insecticide dinotefuran. We performed transcriptomic and metabolomics analysiis of 2 color morphs in D. citri. Gene expression dynamics revealed that the differentially expressed genes were predominantly involved in energy metabolism, including fatty acid metabolism, amino acid metabolism, and carbohydrate metabolism. Among these genes, plexin, glycosidase, phospholipase, take out, trypsin, and triacylglycerol lipase were differentially expressed in 2 color morphs, and 6 hsps (3 hsp70, hsp83, hsp90, hsp68) were upregulated in gray morphs. The metabolome data showed that blue morphs exhibited a higher abundance of fatty acid and amino acid, whereas the content of carbohydrates was elevated in gray morphs. This study partly explains the body color polyphenism of D. citri and provides insights into the molecular changes of stress response of D. citri. [ABSTRACT FROM AUTHOR]

Aggression has multiple benefits and is often coupled with other behaviors ("behavioral syndromes"). The level of aggressiveness is influenced by an adaptive benefit–cost ratio suggesting that benefits should outweigh the costs of aggression. Here, we assess if several behaviors are coupled in two behaviorally different populations (aggressive, peaceful) of the high‐elevation ant Tetramorium alpestre. For three weeks, we collected colony fragments and analyzed boldness, exploring, foraging, and risk‐taking behaviors. We hypothesized that the aggressive population is bolder, more explorative and risk‐prone, and forages more food than the peaceful population. To test whether (a) the combination of experiments and parameters used yields a good setup, (b) populations differ behaviorally, and (c) populations display behavioral syndromes, we assessed (a) the frequency of repeatable behaviors of each experiment, (b) the behavioral means among populations, and (c) the behavioral repeatability, respectively. We found that (a) boldness and exploring were most repeatable and represent a good experimental setup, (b) the aggressive population was bolder and more explorative and risk‐prone than the peaceful population, (c) boldness and exploring behaviors were highly repeatable in both populations, thus corroborating our hypothesis. The results suggest that boldness, exploring, and risk‐taking but not foraging are presumably coupled with aggression and indicate the presence of behavioral syndromes in this ant. Under specific ecological conditions, aggression may be coupled with other behaviors and important for finding food. Aggression is probably adaptive in T. alpestre, possibly indicating that selection favors aggression at least partially, which may counteract the complete loss of intraspecific aggression. [ABSTRACT FROM AUTHOR]

Diversification at the plot level, through the use of intercropping (mixtures of crops), is an alternative to the conventional system of intensive agriculture, based on monospecific, usually single-variety canopies. Intercropping has been shown to provide benefits in terms of disease control. However, competition phenomena and the heterogeneity of the associated crops raise new ecological questions, particularly with regard to the dynamics and evolution of parasite populations. No study has assessed the potential impact of these associations on the dynamics of pathogenic species complexes. Changes in the nutritional status of plants and therefore in their physiological susceptibility to infection within intercropping systems could contribute to an increased diversity of ecological niches and thus affect the composition of the parasitic complex and its spatiotemporal dynamics. In this review, focusing on foliar diseases of fungal origin, and after outlining some elements of the biology and epidemiology of these fungal diseases, we will (i) describe the mechanisms that contribute to the composition of disease clusters and that drive interactions, but we will also review the strategies that these foliar diseases have adopted to deal with these co-infections; (ii) define how intercropping can lead to changes in epidemic dynamics, in particular by presenting the mechanisms that have a direct and indirect effect on disease evolution; and (iii) present the approach that should be adopted to properly study intercropping correctly in a multi-infection situation. [ABSTRACT FROM AUTHOR]

The rice cultivar ‘Chamdongjin’ exhibits a distinctively large grain size and excellent eating quality but is weak with regard to pre-harvest sprouting (PHS), requiring genetic improvement. In contrast, the premium-quality rice cultivar ‘Younghojinmi’ exhibits strong PHS tolerance. This study conducted quantitative trait loci (QTL) analysis on PHS and low-temperature germinability (LTG) using recombinant inbred lines derived from a cross between ‘Chamdongjin’ and ‘Younghojinmi’ to elucidate the genetic factors. Thus, an elite line with improved PHS tolerance was selected. QTL analysis revealed that qPHS3 and qLTG3 were associated with PHS and LTG, respectively, and the candidate gene was identified as qLTG3-1. The loss-of-function allele qltg3-1 in ‘Younghojinmi’ enhanced PHS tolerance compared to the functional allele qLTG3-1 in ‘Chamdongjin,’ but it also showed a trade-off relationship by decreasing LTG. CY_RILs carrying qltg3-1 exhibited lower PHS and LTG rates of 17.9% and 41.6%, respectively, compared to 44.1% and 55.7%, respectively, for CY_RILs with qLTG3-1. The elite line, CY_RIL79, carrying qltg3-1, was selected from CY_RIL. This line was recognized for its PHS tolerance while maintaining the key agricultural traits of ‘Chamdongjin,’ thus designated ‘Jeonju697.’ ‘Jeonju697’ is expected to be utilized as a practical alternative for addressing the issue of enhancing PHS tolerance in ‘Chamdongjin’; however, considering its weak LTG, it is desirable to improve this trait through further breeding efforts. [ABSTRACT FROM AUTHOR]