Resilience Traits Research Articles

Analyzing the Variability and Correlation in M4 Mutants of Kodo Millet (Paspalum scrobiculatum L.) Grown in Southern India

Kodo millet is one of the underutilized lost crops that has renowned nutritional and climate resilient traits. As a gluten free nutricereal, it is now being consumed in a fashion similar to that of rice and several value-added products are arising in the market day by day. Hence, this study on variability and correlation in M4 mutants have been carried out to favor superior varietal development in kodo millet to sustain nutritional security in future. In this study, around 635 M4 mutants were evaluated during Kharif 2019 on Millet Breeding Station of Coimbatore (India), with thirteen morphological traits. Among all, high PCV and GCV values were observed in plant height, panicle length, flag leaf length, seeds per panicle, culm thickness and seed yield. This presented the presence of genetic variability in the population. The prospects of effective selection with high heritability and genetic advance were exhibited by plant height, panicle length, panicle branches, flag leaf length, flag leaf breadth, seeds per panicle, stomatal number, chlorophyll index, culm thickness and seed yield per plant due to the presence of additive gene action. The correlation among traits towards yield revealed the significant positive correlation of all traits except for culm thickness and the highest associated traits were seeds per panicle and number of panicle branches. Therefore, these traits could be further focused for selection and improvement of yield in successive generations and other kodo breeding programs.

Using State-and-Transition Simulation Models (STSMs) to Explore Dynamic Population Responses to Drought Cycles in Freshwater Ecosystems

Climate variability and change pose significant threats to aquatic biodiversity, particularly in areas with low and variable streamflow. Quantifying the magnitude of risk from these threats is made more difficult by the variable responses of individual species to hydrologic stress. Patterns of population decline and recovery in response to drought cycles will depend on both the resistance traits (e.g., tolerance to harsh environmental conditions) and resilience traits (e.g., fecundity, age at maturity), both of which vary considerably among species. Collectively these traits can give rise to varied, and lagged patterns of decline and recovery in response to hydrologic variability, which ultimately can affect population viability in drought prone environments and in response to a changing climate. Such population cycles are typically modelled based on demographic rates (mortality and recruitment) under different climate conditions. However, such models are relatively data intensive, limiting their widespread development. A less precise but more tractable approach is to adopt state-and-transition approaches based on semi-quantitative population states (or population size estimates), and modelled transitions between states under different hydrologic conditions. Here we demonstrate the application of such models to a suite of diverse taxa, based on an expert elicitation of expected state-changes across those different taxa under a range of different flow conditions. The model results broadly conform with population changes observed in response to a major drought in the case-study system, mimicking the observed lags in recovery of species with different life-histories. Stochastic simulations of population cycles under scenarios of more protracted drought provide a semi-quantitative measure of the potential risk to different species under each scenario, as well as highlighting the large uncertainties that can arise when taking into account stochastic (rather than deterministic) state-transitions.

Metabolomics and Chemoinformatics in Agricultural Biotechnology Research: Complementary Probes in Unravelling New Metabolites for Crop Improvement.

Simple SummaryThe world is facing an overarching threat to food security, particularly in developing nations. The issue is further exacerbated by the apparent impacts of biotic and abiotic stresses driving down crop yields and productivity. Conventional strategies to improve yields and sustain productivity have been employed, including plant breeding for favourable and resilient agronomic traits. However, the efficacy and success rates of these methods are declining, partly due to the rapid changes in climate variability and the emergence of new and resistant phytopathogens. Additionally, the process of creating new and improved transgenic varieties of crops is long and can be expensive. Thus, new and innovative technologies are required for crop improvement. This review explores recent advances in the science of metabolomics and chemoinformatics, which have presented an avenue for rapid and robust analysis; moreover, it explores the elucidation of the complex plant metabolome, providing the opportunity to decipher the reactionary mechanisms of plants to the surrounding environment through their metabolic activity. As such, specific metabolites can, thus, be selected as biomarkers for crop improvement based on their functional characteristics under varying environmental conditions (growth, development, and defence). This new knowledge can enhance breeding practices through rapid and robust metabolic engineering techniques for sustainable agriculture.The United Nations (UN) estimate that the global population will reach 10 billion people by 2050. These projections have placed the agroeconomic industry under immense pressure to meet the growing demand for food and maintain global food security. However, factors associated with climate variability and the emergence of virulent plant pathogens and pests pose a considerable threat to meeting these demands. Advanced crop improvement strategies are required to circumvent the deleterious effects of biotic and abiotic stress and improve yields. Metabolomics is an emerging field in the omics pipeline and systems biology concerned with the quantitative and qualitative analysis of metabolites from a biological specimen under specified conditions. In the past few decades, metabolomics techniques have been extensively used to decipher and describe the metabolic networks associated with plant growth and development and the response and adaptation to biotic and abiotic stress. In recent years, metabolomics technologies, particularly plant metabolomics, have expanded to screening metabolic biomarkers for enhanced performance in yield and stress tolerance for metabolomics-assisted breeding. This review explores the recent advances in the application of metabolomics in agricultural biotechnology for biomarker discovery and the identification of new metabolites for crop improvement. We describe the basic plant metabolomics workflow, the essential analytical techniques, and the power of these combined analytical techniques with chemometrics and chemoinformatics tools. Furthermore, there are mentions of integrated omics systems for metabolomics-assisted breeding and of current applications.

Understanding the entrepreneurial resilience of indigenous women entrepreneurs as a dynamic process. The case of Quechuas in Bolivia

ABSTRACT Little literature exists regarding the study of entrepreneurial resilience of indigenous women entrepreneurs (IWEs) in environments challenged with isolation, marginalization, or poverty. New insights that explain the role of resilience in the creation, survival, and development of entrepreneurial activities by indigenous people are needed. In this research, we defined, in the context of IWEs, the individual traits embedded in entrepreneurial resilience. Then, we applied a qualitative approach to analyse the cases of 32 IWEs, these being current entrepreneurs located in street or organized markets in Cochabamba (Bolivia). Interviews and self-identified critical life incidents were used to illustrate how these IWEs developed their entrepreneurial activities and how resilience influenced the emergence and improvement of those activities over time. This work contributes to the entrepreneurship literature: first, by showing how IWEs’ individual entrepreneurial resilience traits help to explain the development of entrepreneurial activities, as a way of survival and personal improvement and, second, by proposing the dynamic entrepreneurial resilience spiral as a process of increasing individual resilience and building community resilience, where the IWEs empowerment plays a key role overcoming environmental circumstances, with education and training developing a leverage effect.

A Study on the Relationship Between Self-Efficacy, Psychological Resilience, and Job Burnout of Grassroots Civil Servants: The Moderating Role of the Big Five Personality Traits.

The aim of this study was to investigate the status of self-efficacy, resilience, personality traits, and job burnout of grassroots civil servants, and their relationship. Grassroots civil servants were randomly selected, and questionnaire survey method was adopted. Civil servants with characteristics such as age, marital status, education level, and length of service were more prone to job burnout. Self-efficacy, resilience, and personality traits were important factors influencing job burnout of grassroots civil servants. Neuroticism played a regulating role in the relationship between self-efficacy and mental resilience. The increase of neuroticism score led to increasing mediation of self-efficacy on job burnout through decreased mental resilience. Higher levels of self-efficacy and mental resilience may reduce job burnout. Higher levels of neuroticism have a negative effect on the moderating role of self-efficacy on job burnout through psychological resilience.

Embryonic heat conditioning in chicks induces transgenerational heat/immunological resilience via methylation on regulatory elements

The question of whether behavioral traits are heritable is under debate. An obstacle in demonstrating transgenerational inheritance in mammals originates from the maternal environment's effect on offspring phenotype. Here, we used in ovo embryonic heat conditioning (EHC) of first-generation chicks, demonstrating heredity of both heat and immunological resilience, confirmed by a reduced fibril response in their untreated offspring to either heat or LPS challenge. Concordantly, transcriptome analysis confirmed that EHC induces changes in gene expression in the anterior preoptic hypothalamus (APH) that contribute to these phenotypes in the offspring. To study the association between epigenetic mechanisms and trait heritability, DNA-methylation patterns in the APH of offspring of control versus EHC fathers were evaluated. Genome-wide analysis revealed thousands of differentially methylated sites (DMSs), which were highly enriched in enhancers and CCCTC-binding factor (CTCF) sites. Overlap analysis revealed 110 differentially expressed genes that were associated with altered methylation, predominantly on enhancers. Gene-ontology analysis shows pathways associated with immune response, chaperone-mediated protein folding, and stress response. For the proof of concept, we focused on HSP25 and SOCS3, modulators of heat and immune responses, respectively. Chromosome conformational capture (3C) assay identified interactions between their promoters and methylated enhancers, with the strongest frequency on CTCF binding sites. Furthermore, gene expression corresponded with the differential methylation patterns, and presented increased CTCF binding in both hyper- and hypomethylated DMSs. Collectively, we demonstrate that EHC induces transgenerational thermal and immunological resilience traits. We propose that one of the mechanisms underlying inheritance depends on three-dimensional (3D) chromatin reorganization.

The Mediating Role of Resilience and Personality Traits in the Relationship between Social Isolation and Psychological Well-Being in the COVID-19 Pandemic

The present study investigates the mediating role of psychological resilience and personality traits in the relationship between the social isolation process implemented during the pandemic period and the psychological well-being of individuals. The predictive correlational model based on the relational survey method, one of the quantitative research methods, was used in the study. The study participants consisted of 238 people through the convenient sampling model, 66 men and 172 women. Personal Information Form, Social Isolation subtest of Nottingham Health Profile Scale, short form of the Psychological Resilience Scale, Warwick-Edinburgh Mental Well-Being Scale and short form of the Five-Factor Personality Scale were used as data collection tools in the study. While determining the mediating effects in the data analysis, a regression analysis based on the bootstrap method was performed with the Process Macro. As a result of the research, it was found that resilience mediated the relationship between the perception of social isolation and psychological well-being. When the mediating effect of personality dimensions was examined, it was found that the mediating effect of conscientiousness, neuroticism, and extraversion dimensions were significant. In contrast, the mediating effects of openness to experience and agreeableness dimensions were not statistically significant.

Psychological Resilience, Coping, and Distress in Admitted Patients With COVID-19 Infection.

Objective: To assess psychological resilience, coping, and related psychological distress in admitted COVID-19 patients. Predictors of subsequent development of posttraumatic stress symptoms (PTSS) and disability were also studied.Methods: Stable inpatients with COVID-19 (aged > 18 years with mild symptoms) admitted to a tertiary care hospital from April 2020 to December 2020 were recruited for the study. During admission, the patients were assessed for resilience, coping, and psychological distress using the 10-item Connor-Davidson Resilience Scale (CD-RISC-10), Brief COPE (Coping Orientation to Problems Experienced), and 4-item Patient Health Questionnaire (PHQ-4). Similarly, they were assessed at 4 weeks after discharge using the PTSD Checklist for DSM-5 and World Health Organization Disability Assessment Schedule.Results: A total of 176 patients were recruited for the study and assessed during their admission, and 102 were reassessed during follow-up. Of the patients, 17.6% during admission and 58.8% at follow-up had significant psychological distress (PHQ-4 score > 2). The mean ± SD CD-RISC-10 score was 27.94 ± 5.82. The most used coping strategies were emotional support, religion, and acceptance. Increased resilience was associated with better education (rs[100] = 0.265, P = .007), less psychological distress (r[100] = -0.596, P = .001), and healthy coping strategies. PHQ-4, PCL-5, and disability scores at follow-up were positively correlated (Pearson correlation). The multiple regression model statistically significantly predicted PTSS (F7, 94 = 2.660, P < .015, adjusted R2 = 0.103).Conclusions: COVID-19 patients with better resilience are associated with reduced psychological distress. Better resilient traits and reduced psychological distress may prevent ensuing PTSS and disability.

Contributions of universal school-based mental health promotion to the wellbeing of adolescents and preadolescents: a systematic review of educational interventions

PurposeThe study aims to determine the contributions of universal school-based educational programs to the current and future worldwide youth mental health condition.Design/methodology/approachA systematic search was conducted in accordance with the PRISMA 2020 guidelines. Academic education and health databases including ERIC, Education Database, APA PsycInfo, APA PsycArticles, Psychology Database, and PubMed were used. Characteristics and outcomes of educational interventions developed in school settings and education potential for mental health promotion were examined.FindingsUniversal school-based mental health educational programs positively affect preadolescents and adolescents. The study review provided further insight into educational programs' characteristics and identified two primary curricula foci: mental health education and development of resiliency traits and skills.Originality/valueResearch on mental health promotion using a pedagogical approach is rare as most studies focus on mental health symptomatology and psychotherapy techniques training.

High-throughput phenotyping of physiological traits for wheat resilience to high temperature and drought stress.

Interannual and local fluctuations in wheat crop yield are mostly explained by abiotic constraints. Heatwaves and drought, which are among the top stressors, commonly co-occur, and their frequency is increasing with global climate change. High-throughput methods were optimized to phenotype wheat plants under controlled water deficit and high temperature, with the aim to identify phenotypic traits conferring adaptative stress responses. Wheat plants of 10 genotypes were grown in a fully automated plant facility under 25/18 °C day/night for 30 d, and then the temperature was increased for 7 d (38/31 °C day/night) while maintaining half of the plants well irrigated and half at 30% field capacity. Thermal and multispectral images and pot weights were registered twice daily. At the end of the experiment, key metabolites and enzyme activities from carbohydrate and antioxidant metabolism were quantified. Regression machine learning models were successfully established to predict plant biomass using image-extracted parameters. Evapotranspiration traits expressed significant genotype–environment interactions (G×E) when acclimatization to stress was continuously monitored. Consequently, transpiration efficiency was essential to maintain the balance between water-saving strategies and biomass production in wheat under water deficit and high temperature. Stress tolerance included changes in carbohydrate metabolism, particularly in the sucrolytic and glycolytic pathways, and in antioxidant metabolism. The observed genetic differences in sensitivity to high temperature and water deficit can be exploited in breeding programmes to improve wheat resilience to climate change.

The Impacts of Different Anthropogenic Disturbances on Macroinvertebrate Community Structure and Functional Traits of Glacier-Fed Streams in the Tianshan Mountains

Macroinvertebrates are sensitive to environmental disturbances, however, the effects of human activities on macroinvertebrate community structures and functional traits in glacier-fed streams are concerning. To elucidate the effects of horse, cattle and sheep grazing, hot spring scenic development, and historic iron ore mine development on macroinvertebrate communities, we conducted a study in three glacier-fed streams of the Tianshan Mountains in northwest China in April 2021. Our results showed that the species richness and density significantly decreased due to grazing (p &lt; 0.05). There were more taxa with resilience traits such as “small size at maturity” in the grazing stream. The EPT richness and density affected by hot spring scenic development significantly decreased compared to the undisturbed point (p &lt; 0.05). There was a significant increase in taxa with resistance traits such as “bi-or-multivoltine” in the hot spring stream. The stream affected by historic mine development is currently in the self-recovery stage following the closure of the mine ten years ago. Additionally, the species richness, EPT richness, and density at the mining site were significantly higher than the source site (p &lt; 0.05), reflecting that the habitat fragmentation caused by previous mining activities prevented the upward dispersal of macroinvertebrates. The taxa in the mining stream were also characterized by higher resistance traits such as “abundant occurrence in drift”. These results were attributed to the impacts of human disturbance on habitat stability, habitat heterogeneity, water quality, and material cycling of stream ecosystems, indicating human disturbance on the efficiency of resource utilization and functional diversification. In addition, our results showed that functional indicators of macroinvertebrate communities are helpful for monitoring and evaluating habitat conditions.

Genetic Modeling and Genomic Analyses of Yearling Temperament in American Angus Cattle and Its Relationship With Productive Efficiency and Resilience Traits.

Cattle temperament has been considered by farmers as a key breeding goal due to its relevance for cattlemen’s safety, animal welfare, resilience, and longevity and its association with many economically important traits (e.g., production and meat quality). The definition of proper statistical models, accurate variance component estimates, and knowledge on the genetic background of the indicator trait evaluated are of great importance for accurately predicting the genetic merit of breeding animals. Therefore, 266,029 American Angus cattle with yearling temperament records (1–6 score) were used to evaluate statistical models and estimate variance components; investigate the association of sex and farm management with temperament; assess the weighted correlation of estimated breeding values for temperament and productive, reproductive efficiency and resilience traits; and perform a weighted single-step genome-wide association analysis using 69,559 animals genotyped for 54,609 single-nucleotide polymorphisms. Sex and extrinsic factors were significantly associated with temperament, including conception type, age of dam, birth season, and additional animal–human interactions. Similar results were observed among models including only the direct additive genetic effect and when adding other maternal effects. Estimated heritability of temperament was equal to 0.39 on the liability scale. Favorable genetic correlations were observed between temperament and other relevant traits, including growth, feed efficiency, meat quality, and reproductive traits. The highest approximated genetic correlations were observed between temperament and growth traits (weaning weight, 0.28; yearling weight, 0.28). Altogether, we identified 11 genomic regions, located across nine chromosomes including BTAX, explaining 3.33% of the total additive genetic variance. The candidate genes identified were enriched in pathways related to vision, which could be associated with reception of stimulus and/or cognitive abilities. This study encompasses large and diverse phenotypic, genomic, and pedigree datasets of US Angus cattle. Yearling temperament is a highly heritable and polygenic trait that can be improved through genetic selection. Direct selection for temperament is not expected to result in unfavorable responses on other relevant traits due to the favorable or low genetic correlations observed. In summary, this study contributes to a better understanding of the impact of maternal effects, extrinsic factors, and various genomic regions associated with yearling temperament in North American Angus cattle.

Concussion-Associated Gene Variant COMT rs4680 Is Associated With Elite Rugby Athlete Status.

Concussions are common match injuries in elite rugby, and reports exist of reduced cognitive function and long-term health consequences that can interrupt or end a playing career and produce continued ill health. The aim of this study was to investigate the association between elite rugby status and 8 concussion-associated risk polymorphisms. We hypothesized that concussion-associated risk genotypes and alleles would be underrepresented in elite rugby athletes compared with nonathletes. A case-control genetic association study. Institutional (university). Elite White male rugby athletes [n = 668, mean (SD) height 1.85 (0.07) m, mass 102 (12) kg, and age 29 (7) years] and 1015 nonathlete White men and women (48% men). Genotype was the independent variable, obtained by PCR of genomic DNA using TaqMan probes. Elite athlete status with groups compared using χ 2 and odds ratio (OR). The COMT rs4680 Met/Met (AA) genotype, Met allele possession, and Met allele frequency were lower in rugby athletes (24.8%, 74.6%, and 49.7%, respectively) than nonathletes (30.2%, 77.6%, and 54.0%; P < 0.05). The Val/Val (GG) genotype was more common in elite rugby athletes than nonathletes (OR 1.39, 95% confidence interval 1.04-1.86). No other polymorphism was associated with elite athlete status. Elite rugby athlete status is associated with COMT rs4680 genotype that, acting pleiotropically, could affect stress resilience and behavioral traits during competition, concussion risk, and/or recovery from concussion. Consequently, assessing COMT rs4680 genotype might aid future individualized management of concussion risk among athletes.

The Impacts of the Freezing–Thawing Process on Benthic Macroinvertebrate Communities in Riffles and Pools: A Case Study of China’s Glacier-Fed Stream

Glacier-fed streams are one of the environments most sensitive to global climate change. However, the effects of the freezing–thawing process on benthic macroinvertebrate communities in different habitats of glacier-fed streams are unclear. In this paper, we investigated benthic macroinvertebrates in riffles and pools of a glacier-fed stream in Xinjiang, China, during the pre-freezing period (November, 2018), freezing period (January 2019), and thawing period (April, 2019). Our results showed that the freezing–thawing process resulted in a decline in benthic macroinvertebrate species richness and diversity, both of which were attributed to the effects of the freezing–thawing process on habitat stability, water quality, and cycling of the stream ecosystems. During the whole freezing–thawing process, the indicator taxa of riffles were Rhithrogena sp. and Baetis sp., while the only indicator taxon of pools was Chironomus sp. The species richness, Margalef diversity, and EPT richness (Ephemeroptera, Plecoptera, and Trichoptera) of benthic macroinvertebrates in riffles were higher than those in pools, due to the higher habitat heterogeneity in the riffles. However, the density in riffles was significantly lower than that in pools during the freezing period (p &lt; 0.05). Additionally, pools were dominated by taxa with higher resilience and resistance traits, such as “bi- or multi-voltine”, “abundant occurrence in drift”, and “small size at maturity”. This result indicated that pools provide a temporary refuge for benthic macroinvertebrates in the extreme environment of glacier-fed streams. The freezing–thawing process plays an essential role in the formation of the structure and function of the stream ecosystem. Our results can help us to further understand the winter ecological process of headwater streams, and provide a reference for stream biodiversity conservation in cold regions.

Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program.

Tree improvement programs often focus on improving productivity-related traits; however, under present climate change scenarios, climate change-related (adaptive) traits should also be incorporated into such programs. Therefore, quantifying the genetic variation and correlations among productivity and adaptability traits, and the importance of genotype by environment interactions, including defense compounds involved in biotic and abiotic resistance, is essential for selecting parents for the production of resilient and sustainable forests. Here, we estimated quantitative genetic parameters for 15 growth, wood quality, drought resilience, and monoterpene traits for Picea glauca (Moench) Voss (white spruce). We sampled 1,540 trees from three open-pollinated progeny trials, genotyped with 467,224 SNP markers using genotyping-by-sequencing (GBS). We used the pedigree and SNP information to calculate, respectively, the average numerator and genomic relationship matrices, and univariate and multivariate individual-tree models to obtain estimates of (co)variance components. With few site-specific exceptions, all traits examined were under genetic control. Overall, higher heritability estimates were derived from the genomic- than their counterpart pedigree-based relationship matrix. Selection for height, generally, improved diameter and water use efficiency, but decreased wood density, microfibril angle, and drought resistance. Genome-based correlations between traits reaffirmed the pedigree-based correlations for most trait pairs. High and positive genetic correlations between sites were observed (average 0.68), except for those pairs involving the highest elevation, warmer, and moister site, specifically for growth and microfibril angle. These results illustrate the advantage of using genomic information jointly with productivity and adaptability traits, and defense compounds to enhance tree breeding selection for changing climate.

Whole genome sequences of 234 indigenous African chickens from Ethiopia

Indigenous chickens predominate poultry production in Africa. Although preferred for backyard farming because of their adaptability to harsh tropical environments, these populations suffer from relatively low productivity compared to commercial lines. Genome analyses can unravel the genetic potential of improvement of these birds for both production and resilience traits for the benefit of African poultry farming systems. Here we report whole-genome sequences of 234 indigenous chickens from 24 Ethiopian populations distributed under diverse agro-climatic conditions. The data represents over eight terabytes of paired-end sequences from the Ilumina HiSeqX platform with an average coverage of about 57X. Almost 99% of the sequence reads could be mapped against the chicken reference genome (GRCg6a), confirming the high quality of the data. Variant calling detected around 15 million SNPs, of which about 86% are known variants (i.e., present in public databases), providing further confidence on the data quality. The dataset provides an excellent resource for investigating genetic diversity and local environmental adaptations with important implications for breed improvement and conservation purposes.

Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.

Botrytis bunch rot is one of the economically most important fungal diseases in viticulture (aside from powdery mildew and downy mildew). So far, no active defense mechanisms and resistance loci against the necrotrophic pathogen are known. Since long, breeders are mostly selecting phenotypically for loose grape bunches, which is recently the most evident trait to decrease the infection risk of Botrytis bunch rot. This study focused on plant phenomics of multiple traits by applying fast sensor technologies to measure berry impedance (ZREL), berry texture, and 3D bunch architecture. As references, microscopic determined cuticle thickness (MSCT) and infestation of grapes with Botrytis bunch rot were used. ZREL hereby is correlated to grape bunch density OIV204 (r = −0.6), cuticle thickness of berries (r = 0.61), mean berry diameter (r = −0.63), and Botrytis bunch rot (r = −0.7). However, no correlation between ZREL and berry maturity or berry texture was observed. In comparison to the category of traditional varieties (mostly susceptible), elite breeding lines show an impressive increased ZREL value (+317) and a 1-μm thicker berry cuticle. Quantitative trait loci (QTLs) on LGs 2, 6, 11, 15, and 16 were identified for ZREL and berry texture explaining a phenotypic variance of between 3 and 10.9%. These QTLs providing a starting point for the development of molecular markers. Modeling of ZREL and berry texture to predict Botrytis bunch rot resilience revealed McFadden R2 = 0.99. Taken together, this study shows that in addition to loose grape bunch architecture, berry diameter, ZREL, and berry texture values are probably additional parameters that could be used to identify and select Botrytis-resilient wine grape varieties. Furthermore, grapevine breeding will benefit from these reliable methodologies permitting high-throughput screening for additional resilience traits of mechanical and physical barriers to Botrytis bunch rot. The findings might also be applicable to table grapes and other fruit crops like tomato or blueberry.

“Who do they think they are?”: social identity & conflict in small rural community

ABSTRACT Building resilience in small communities has increasingly become an aspirational objective to help adapt to challenging economic and social change. Communities with identified resilience traits are seen to be better equipped to survive and thrive in adversity. Resilience relies on embracing change and social cohesion. However, the divide between social groups of “insiders” and “outsiders” in small communities can divide and suppress resident contributions and participation. This qualitative research in two small South Queensland, Australian towns, population under 2000, interviewed 89 residents using social identity theory and discourse analysis to analyse data. It found social identity phenomena-motivated antisocial behaviours including withheld support, exclusion, derision, criticism, shame/blame gossip, and attack, directly and indirectly. In the research communities, witnessing or experiencing social hostility created hesitation to lead, speak, participate, or innovate without social support, and led to withdrawal, burnout, and departure.

The Relationship between Grit Personality and Resilience

Grit personality and resilience traits are important elements that influence the quality of student learning. The objective of this study was to identify the level of grit and resilience as well as the relationship between both variables. This study used a quantitative study design in the form of a survey. A total of 387 respondents among UKM students were selected through cluster random sampling techniques. The Short Grit Scale (Grit-S) and Resilience Scale Questionnaire were used to collect data. The analysis results showed that the respondents had a medium-high grit level (SD = 0.866) and high resilience trait level (SD = 0.738). Pearson’s correlation analysis was used to determine the relationship among the variables, and regression analysis was used to determine the regression coefficient of the variables on each other. Findings showed a moderate positive correlation between grit and resilience (r = 0.442, p < 0.01). Grit explained 19.3% of resilience’s total variance. Based on this evidence, it can be said that grit personality is a predictor of resilience. As grit is an emerging concept in the literature, more concrete findings and evidence are required for a comprehensive and conclusive understanding of its implications.

On the pivotal role of water potential to model plant physiological processes

AbstractWater potential explains water transport in the soil–plant–atmosphere continuum (SPAC), and is gaining interest as connecting variable between ‘pedo-, bio- and atmosphere’. It is primarily used to simulate hydraulics in the SPAC, and is thus essential for studying drought effects. Recent implementations of hydraulics in large-scale terrestrial biosphere models (TBMs) improved their performance under water-limited conditions, while hydraulic features of recent detailed functional–structural plant models (FSPMs) open new possibilities for dissecting complex traits for drought tolerance. These developments in models across scales deserve a critical appraisal to evaluate its potential for wider use in FSPMs, but also in crop systems models (CSMs), where hydraulics are currently still absent. After refreshing the physical basis, we first address models where water potential is primarily used for describing water transport along the transpiration pathway from the soil to the leaves, through the roots, the xylem and the leaf mesophyll. Then, we highlight models for three ecophysiological processes, which have well-recognized links to water potential: phloem transport, stomatal conductance and organ growth. We identify water potential as the bridge between soil, root and shoot models, as the physiological variable integrating below- and above-ground abiotic drivers, but also as the link between water status and growth. Models making these connections enable identifying crucial traits for ecosystem resilience to drought and for breeding towards improved drought tolerance in crops. Including hydraulics often increases model complexity, and thus requires experimental data on soil and plant hydraulics. Nevertheless, modelling hydraulics is insightful at different scales (FSPMs, CSMs and TBMs).