Low Trait Research Articles

Coping styles and the developmental trajectories of anxiety symptoms in children during transition into early adolescence.

The study investigated how active and avoidant coping styles predicted the trajectory membership of anxiety symptoms during the transition into early adolescence. A total of 321 Chinese children aged 9 to 10 years were recruited from a primary school in mainland China. Self-reported trait anxiety, coping styles and anxiety symptoms were assessed at baseline. After 6 months, self-reported anxiety symptoms were measured at three follow-up assessments with an interval of 6 months. Latent class growth modelling revealed high (18.7%) and low (81.3%) trajectories of anxiety symptoms in children during the transition into early adolescence. After controlling for trait anxiety, depression and sex, high active coping style predicted the trajectory of high anxiety symptoms, which was not moderated by trait anxiety. Before controlling for these covariates, the relation between active coping style and anxiety symptoms was in the opposite direction. A high avoidant coping style showed a trend to predict the trajectory of high anxiety symptoms only for children with low trait anxiety. These findings add a developmental context to the relationships of active and avoidant coping styles to anxiety symptoms and suggest that trait anxiety may moderate these relationships.

Trait-dependent effects of theta burst stimulation after psychosocial stress: a sham-controlled study in healthy individuals

ObjectivePrevious studies suggest that theta burst stimulation (TBS), a form of repetitive transcranial magnetic stimulation (rTMS), applied to the left dorsolateral prefrontal cortex (DLPFC) might be a promising approach to modulate stress-reactive rumination and the associated psychophysiological stress response. Crucially, individuals showing higher levels of trait rumination might benefit more from prefrontal stimulation. MethodsIn this sham-controlled study, 127 healthy individuals, with varying ruminative tendencies, received a single-session of intermittent TBS (iTBS), continuous TBS (cTBS) or sham TBS (sTBS) over the left DLPFC before being confronted with a Trier Social Stress Test. ResultsResults showed significant TBS effects on salivary cortisol as a function of trait rumination. cTBS, as compared to sTBS and iTBS, resulted in an attenuated stress-induced cortisol response in high compared to low trait ruminators. Although independent of trait rumination levels, cTBS showed positive effects on stress-related changes in mood and, both cTBS and iTBS (versus sham) presented an enhanced heart rate recovery following the stressor. We found no evidence for (trait rumination-dependent) TBS effects on stress-reactive rumination, negative affect, subjective stress or heart rate variability. ConclusionscTBS shows beneficial effects on certain measures of stress, especially in high trait ruminators. SignificanceThese findings highlight the importance of accounting for individual differences when examining TBS effects.

The beneficial role of curiosity on route memory in children

IntroductionThere has been a growing interest in the role of innate curiosity on facets of human cognition, such as in spatial learning and memory. Yet, it is unclear how state level curiosity evoked by the current environment could interact differentially with trait curiosity, to impact spatial memory performance.MethodsWe assessed the influence of trait and state curiosity on route memory. Forty-two 10-year-old children with low and high-trait curiosity (20 Females; 22 Males) actively explored virtual environments that elicited varying levels of uncertainty (i.e., state-curiosity).ResultsAs trait curiosity increased, so did memory performance in low and high uncertainty conditions, suggesting that high-curiosity children can better recruit cognitive resources within non-optimal environments. Children with high compared to low trait curiosity also reported greater feelings of presence during exploration. Importantly, in environments with medium uncertainty, children with low trait curiosity were able to perform as well as those with high curiosity.DiscussionResults show that individual differences in trait curiosity influence route learning and these interact dynamically with state-curiosity invoked within different environments.

Happy Hour: The association between trait hedonic capacity and motivation to drink alcohol

The (over)consumption of alcohol and other addictive substances is often conceptualized as a problem of low self-control (i.e., people’s inability to inhibit unwanted impulses). According to that view, people drink because they cannot resist. In the present studies, we approached this from a different perspective and tested whether alcohol consumption might also be a problem of low hedonic capacity (i.e., people’s inability to experience pleasure and relaxation, often due to intrusive thoughts). According to that view, people drink because it helps them enjoy or cope with negative thoughts or emotions. In two studies among individuals at low risk of harmful alcohol use (e.g., AUDIT < 7) we consistently found that trait hedonic capacity was unrelated to alcohol consumption but negatively related to coping motivation (drinking alcohol to cope with negative thoughts and feelings; Study 1: N = 348; Study 2: N = 302, preregistered). Exploratory analyses in study 2 (conducted during the COVID-19 pandemic) also showed that people with low, but not high, trait hedonic capacity drank more alcohol in response to stress. Our findings are in line with the notion that people’s drinking motivation and behavior might not only be a problem of poor self-control but also of low trait hedonic capacity. They align with a new direction in addiction prevention and treatment research, which explores ways to help people to seek out and savor hedonic experiences from non-drug related reinforcers (e.g., engaging in leisure activities).

110 Effects of sire selection on puberty and reproduction of offspring selected as replacement heifers

Abstract Sire selection is important to maintain the desired genetic capability of any cattle herd; therefore, selection of economic production traits affect profitability by increasing pre- and post-weaning gain and carcass quality potential. Using heifers developed from sires selected for growth and milk traits may have long-term impact on sustainability of the cowherd by influencing mature cow size and milk production. Our objective was to determine the impacts of sires selected for high and moderate growth and high and low milk traits on growth and reproductive performance of replacement heifers. Therefore, we selected replacement heifers sired by bulls within the upper 5th and 50th percentiles of the Angus breed for yearling weight (YW) EPD as high growth (HG) moderate growth (MG), the upper 15th percentile of the Angus breed for milk EPD as high milk (HM), and the lower 15th percentile for low milk (LM) in a 2×2 factorial design resulting in 4 treatments: HG/HM, HG/LM, MG/HM, and MG/LM. Heifers (n = 46) from appropriate AI sires that were born and developed at Oklahoma State University – Range Cow Research Center – South Range Unit were selected as replacements. They were raised on a base diet of dry, dormant tall grass prairie and moderate quality grass hay following weaning and 2 kg/d of 16% crude protein concentrate supplement. Body weights and biometrics were recorded at weaning and approximately at 1-yr of age, and blood was collected at 11 and 0 d before synchronization for progesterone analysis to determine pubertal status pre-breeding. Estrus was synchronized using the 14-d CIDR-PG with timed AI method followed by a 45-d natural service breeding period. Pregnancy checks were conducted by serum collection 35-d following AI and via rectal palpation by an experienced veterinarian 112 d after removal of the bulls. Statistical analyses were performed using the mixed procedure of SAS (SAS 9.4, SAS INC., Carey, NC). Heifers from high growth sires were 28 kg heavier at weaning (P &amp;lt; 0.01) and 26 kg heavier as yearlings (P &amp;lt; 0.01) than those sired by moderate growth sires, while sire milk EPD affected neither (P ≥ 0.55). High growth and high milk sired heifers had greater hip heights, frame scores and thus greater (P ≤ 0.05) estimated mature body weight (EMBW). Despite this, sire selection had no impact on percentage of heifers pubertal before breeding, AI pregnancy, or the total pregnancy rates (P &amp;gt; 0.24) Based on these data, selection of sires for HG and HM leads to increased productivity of the offspring but gives rise to larger mature cows, which may pressure grazing resources in limited resource environments impacting the long-term sustainability of the cow-calf enterprise.

In the anticipation of threat: Neural regulatory activity indicated by delta-beta correlation and its relation to anxiety

The anticipation of oncoming threats is emotionally challenging and related to anxiety. The current study aimed to investigate the neural regulatory processes during the anticipatory preparations in stressful situations in relation to trait anxiety, especially in an uncertainty-related stressful situation. To this end, we measured within-subjects delta-beta amplitude-amplitude correlation (AAC) and phase-amplitude coupling (PAC) with electroencephalography using a well-defined stress-inducing paradigm in 28 high-trait-anxiety (HTA) and 29 low-trait-anxiety (LTA) college students. Specifically, a threat probability task was conducted, where participants anticipated the future stimuli under the uncertain (i.e., an average of 50% electric shocks), certain (i.e., 100% electric shocks) and no threat conditions, as well as a resting state task. Results showed a generally larger delta-beta AAC in the LTA group relative to the HTA group across conditions, supporting the hypothesis that delta-beta AAC reflects the efficiency of stress regulation and trait anxiety could compromise this adaptive regulatory activity. Furthermore, a larger delta-beta PAC was found under the uncertain threat condition relative to the no threat condition, indicating the sensitivity of delta-beta PAC in reflecting state anxiety. These findings indicate that while delta-beta AAC is more related to trait anxiety and could distinguish between high and low trait anxiety irrespective of conditions, delta-beta PAC is more related to state anxiety and is sensitive enough to detect the uncertainty-related anxious state.

Effects of arginine vasopressin on human anxiety and associations with sex, dose, and V1a-receptor genotype.

Arginine vasopressin (AVP) has dose- and sex-specific effects on social behavior, and variation in social responses is related to variation in the V1a receptor gene in animals. Whether such complexity also characterizes AVP effects on anxiety in humans, or whether V1a genotype is related to anxiety and/or AVP's ability to affect it, remains to be determined. To test if AVP has dose-dependent effects on anxiety in men and/or women and if a particular allele within the RS3 promoter region of the V1a receptor gene is associated with anxiety and/or AVP effects on anxiety. Men and women self-administered 20IU or 40IU intranasal arginine vasopressin (AVP) and placebo in a double-blind, within-subjects design, and State (SA) and Trait (TA) anxiety were measured 60min later. PCR was used to identify allelic variation within the RS3 region of the V1a receptor gene. AVP decreased SA in men across both doses, whereas only the lower dose had the same effect, across sexes, in individuals who carry at least one copy of a previously identified "risk" allele in the RS3 promoter of the V1a receptor gene. Additionally, after placebo, women who carried a copy of the allele displayed lower TA than women who did not, and AVP acutely increased TA scores in those women. Exogenous AVP has modest sex- and dose-dependent effects on anxiety/affect in humans. Further, allelic variation in the V1a promoter appears associated with responsiveness to AVP's effects and, at least in women, to stable levels of anxiety/affect.

The influence of dynamism and expression intensity on face emotion recognition in individuals with autistic traits

ABSTRACT Face emotion recognition (FER) ability varies across the population, with autistic traits in the general population reported to contribute to this variation. Previous studies used photographs of posed facial expressions, while real social encounters involve dynamic expressions of varying intensity. We used static photographs and dynamic videos, showing peak and partial facial expressions to investigate the influence of dynamism and expression intensity on FER in non-clinical adults who varied in autistic traits. Those with high autistic traits had lower accuracy with both static peak and dynamic partial intensity expressions, when compared to low autistic trait participants. Furthermore, high autistic traits were linked to an accuracy advantage for dynamic compared with static stimuli in both partial and peak expression conditions, while those with low autistic traits demonstrated this dynamic advantage only for partial expressions. These findings reveal the differing importance of dynamism and expression intensity for FER across the non-clinical population and appear linked to self-reported social-communication skills. Furthermore, FER difficulties in autism might relate to the ability to integrate subtle, dynamic information, rather than static emotion categorisation alone.

Genomic prediction for agronomic traits in a diverse Flax (Linum usitatissimum L.) germplasm collection

Breeding programs require exhaustive phenotyping of germplasms, which is time-demanding and expensive. Genomic prediction helps breeders harness the diversity of any collection to bypass phenotyping. Here, we examined the genomic prediction’s potential for seed yield and nine agronomic traits using 26,171 single nucleotide polymorphism (SNP) markers in a set of 337 flax (Linum usitatissimum L.) germplasm, phenotyped in five environments. We evaluated 14 prediction models and several factors affecting predictive ability based on cross-validation schemes. Models yielded significant variation among predictive ability values across traits for the whole marker set. The ridge regression (RR) model covering additive gene action yielded better predictive ability for most of the traits, whereas it was higher for low heritable traits by models capturing epistatic gene action. Marker subsets based on linkage disequilibrium decay distance gave significantly higher predictive abilities to the whole marker set, but for randomly selected markers, it reached a plateau above 3000 markers. Markers having significant association with traits improved predictive abilities compared to the whole marker set when marker selection was made on the whole population instead of the training set indicating a clear overfitting. The correction for population structure did not increase predictive abilities compared to the whole collection. However, stratified sampling by picking representative genotypes from each cluster improved predictive abilities. The indirect predictive ability for a trait was proportionate to its correlation with other traits. These results will help breeders to select the best models, optimum marker set, and suitable genotype set to perform an indirect selection for quantitative traits in this diverse flax germplasm collection.

Simulations of multiple breeding strategy scenarios in common bean for assessing genomic selection accuracy and model updating.

The aim of this study was to evaluate the accuracy of the ridge regression best linear unbiased prediction model across different traits, parent population sizes, and breeding strategies when estimating breeding values in common bean (Phaseolus vulgaris). Genomic selection was implemented to make selections within a breeding cycle and compared across five different breeding strategies (single seed descent, mass selection, pedigree method, modified pedigree method, and bulk breeding) following 10 breeding cycles. The model was trained on a simulated population of recombinant inbreds genotyped for 1010 single nucleotide polymorphism markers including 38 known quantitative trait loci identified in the literature. These QTL included 11 for seed yield, eight for white mold disease incidence, and 19 for days to flowering. Simulation results revealed that realized accuracies fluctuate depending on the factors investigated: trait genetic architecture, breeding strategy, and the number of initial parents used to begin the first breeding cycle. Trait architecture and breeding strategy appeared to have a larger impact on accuracy than the initial number of parents. Generally, maximum accuracies (in terms of the correlation between true and estimated breeding value) were consistently achieved under a mass selection strategy, pedigree method, and single seed descent method depending on the simulation parameters being tested. This study also investigated model updating, which involves retraining the prediction model with a new set of genotypes and phenotypes that have a closer relation to the population being tested. While it has been repeatedly shown that model updating generally improves prediction accuracy, it benefited some breeding strategies more than others. For low heritability traits (e.g., yield), conventional phenotype-based selection methods showed consistent rates of genetic gain, but genetic gain under genomic selection reached a plateau after fewer cycles. This plateauing is likely a cause of faster fixation of alleles and a diminishing of genetic variance when selections are made based on estimated breeding value as opposed to phenotype.

Attentional bias to threat: an investigation of psychological predictors beyond trait anxiety

AbstractAttentional bias to threat (ABT) refers to the tendency to more rapidly orient attention to threatening stimuli, as compared to neutral or pleasant stimuli. Issues with the reliability of this phenomenon have been raised and little is currently known about individual differences that may contribute to ABT. This online study aimed to replicate ABT in trait anxiety and identify psychological predictors of ABT using both dot probe and flanker tasks comprising emotional images. Undergraduate students completed various psychological questionnaires, followed by the ABT tasks. Contrary to expectations, faster responses and enhanced accuracy for positive stimuli were found in a low trait anxiety sub-sample (n = 33) in the dot probe task, while overall slower performance among a high trait anxiety sub-sample (n = 34) was found in the flanker task. Higher ratings of state anxiety and stress and lower ratings of calmness were associated with greater flanker ABT scores in the overall sample (N = 111), while higher scores on facets of trait mindfulness and personality were associated with greater dot probe ABT scores. Trait anxiety was not associated with either ABT score. These findings highlight the difficulties replicating ABT in anxious individuals using behavioural tasks and indicate the importance of measuring state and trait psychological experiences when investigating ABT in experimental settings. Further replication of predictors is required.

Heritability and genetic correlations of rumination time with milk-yield and milking traits in Holstein-Friesian cows using an automated milking system

Knowledge of the values of genetic parameters is a prerequisite for conducting a breeding program. This is especially important for rumination, which is considered an indicator of cow’s health. Exploring the genetic relations between rumination time, milk yield, and milking traits could make it a valuable tool in dairy cattle breeding strategies. The objective of the research was to estimate heritability, repeatability, and genetic and phenotypic correlations of rumination time (RT), as well as traits associated with milk yield and milking of dairy cows of the Polish Holstein-Friesian breed kept in herds equipped with an automatic milking system. The research takes into consideration daily results for milking in the first lactation and second lactation, from 1 486 cows of the breed milked between 2013 and 2015 year. Cows were housed in 24 free-stall barns and fed a Partial Mixed Ration feed. The barns had an automated milking system (Astronaut A4 – Lely Industry). The cows received a varied dose of the concentrate, either in the milking robot or the feeding station, depending on the level of their milk yield. Our research has shown that RT was a low heritable trait (0.140 ± 0.039) and had a medium repeatability (0.572 ± 0.007). We detected a positive genetic correlation between RT and milk yield (0.341); however, a statistically significant negative relationship was identified between RT and urea content (−0.418) in milk. Estimations of genetic correlations suggest that selecting for higher RT may correspond to reduced urea content in milk. Investigating the genetics aspect of RT and the relationship with milk yield and milking traits may turn this into one of the useful criterion selections for dairy cattle breeding strategies, but should be used carefully. Further analyses on larger data sets and different populations are necessary.

The relationship between autistic traits and the stress of social isolation: Development of an explanatory model

BackgroundSocial isolation can be particularly challenging for individuals with high autistic traits who struggle with social interactions. The COVID-19 pandemic led to increased isolation, exacerbating stress for those who may have difficulty in connecting with others. This study aimed to explore the relationship between autistic traits and stress associated with social isolation. MethodsA sample of 1597 Chinese adults completed measures of autistic traits, the stress of social isolation, psychological inflexibility and core self-evaluation, during an epidemic prevention and control period of COVID-19 in Chongqing, China. Measures included the Autism-Spectrum Quotient, Coronavirus Stress Measure, Acceptance and Action Questionnaire-II, and Core Self-Evaluation Scale. ResultsAutistic traits were positively correlated with the stress of social isolation, which was mediated by the chain effect of core self-evaluation and psychological inflexibility. individuals with high autistic traits reported significantly higher stress than individuals with low autistic traits. LimitationsThis was a cross-sectional study, which limits causal inference. In addition, data were self-reported, which may cause methodological effects. Finally, this study was conducted during China's quarantine policy and external validation of the findings is required. ConclusionsAutistic traits are positively associated with the stress of social isolation. Autistic traits affected core self-evaluation first, and psychological inflexibility subsequently, leading to the stress of social isolation. individuals with high autistic traits tended to experience higher levels of stress during pandemic quarantines. The findings provide useful evidence for developing interventions and implementing preventive measures to reduce stress in individuals with high autistic traits and autism spectrum disorder.

The cognitive neural mechanism of trait anxiety influences mind wandering: An ERP study

Converging evidence from behavioral and neuroscience studies demonstrated that our attention to the external world is influenced by emotion, especially anxiety. However, little is known about how trait anxiety influences neural and behavioral responses during mind wandering. The present study aimed to examine the neural and cognitive time courses of how trait anxiety affects mind wandering. Event-related potentials (ERPs) were recorded from 20 individuals with high trait anxiety and 20 with low trait anxiety when they performed the Sustained Attention to Response Task (SART) in which they were asked to respond to frequent ‘‘nontargets’’ (digits 0–6, 8–9) but withhold responses to infrequent ‘‘targets’’ (the digit 7). We compared the behavioral performance and electroencephalographic waves between the high and low trait anxiety groups during states of “mind wandering” (fail to withhold a response to the target number) and being “on-task” (correctly withhold a response to the target number). Results showed that a larger late positive component (LPC, 400–950 ms) was elicited when participants were “on task” than when they were mind wandering. Additionally, a larger late slow waveform (LSW, 950–1050 ms) was elicited in the high trait anxiety group than in the low trait anxiety group. Moreover, there was a positive correlation between self-reported trait anxiety scores and the LSW amplitudes during mind wandering. It was proposed that the effect of trait anxiety on the cognitive neural mechanism underlying attentional processing was primarily reflected in a later process involving the redistribution of cognitive resources.

How followers' perception of followership prototype-traits fit impacts their job performance: a moderated polynomial regression analysis.

Previous studies about the drivers of follower performance focused on leadership, and most followership studies have used a single perspective to investigate this topic from the followers' lens. Therefore, the purpose of this study is to explore whether, how, and when followers' perception of followership prototype-traits fit influences their job performance. The study adopted a questionnaire survey (Study 1) and a scenario experiment (Study 2). First, in the questionnaire survey, we collected 72 leaders and 262 followers from 72 teams of 14 companies in China using a two-wave research design. Second, in the scenario experiment, we invited 160 undergraduates from a university in southwest China to participate in the experiment after verifying the effectiveness of the manipulated materials. (1) compared with the misfit, followership prototype-traits fit is more likely to stimulate followers' taking charge; (2) compared with low levels of fit, high-level followership prototype-traits fit is more likely to stimulate followers' taking charge; (3) compared with high followership prototype and low followership traits condition, low followership prototype and high followership traits condition is more likely to stimulate followers' taking charge; (4) followers' taking charge mediates the impact of the followership prototype-traits fit on followers' job performance; and (5) the impact of followership prototype-traits fit on followers' taking charge is more salient for male followers than for female followers. This study not only helps capture the bidirectional and complex process of the interaction between leaders and followers during the followership, but also obtains a more comprehensive understanding of how this interaction affects followers' behaviors and performance. The results have practical implications for improving followers' job performance by highlighting the effects of followership prototype-traits fit on followers' behaviors and performance.

An animal model of trait anxiety: Carioca high freezing rats as a model of generalized anxiety disorder.

Despite being one of the main components of anxiety and playing a pivotal role in how an individual perceives and copes with anxiogenic situations or responds to a given treatment, trait anxiety is paradoxically omitted in most animal models of anxiety. This is problematic and particularly more concerning in models that are used to screen drugs and other treatments for specific anxiety disorders and to investigate their neurobiological mechanisms. Our group has been engaged in the search for specific anxiety-related traits in animal models of anxiety. We developed two new lines of rats with strong phenotypic divergence for high (Carioca High-conditioned Freezing [CHF]) and low (Carioca Low-conditioned Freezing [CLF]) trait anxiety as expressed in the contextual fear conditioning paradigm. Here, we summarize key behavioral, pharmacological, physiological, and neurobiological differences in one these lines, the CHF rat line, relative to randomized-cross controls and discuss how far they represent a valid and reliable animal model of generalized anxiety disorder and so high trait anxiety.

Estimation of genetic parameters of Holstein calf survival.

Calf survival is not only an animal welfare issue but also helps to avoid huge losses in economic and genetic material due to calf mortality. Therefore, improving calf survival is essential in dairy breeding. The objective of this study was to explore the factors affecting the survival of Holstein calves in the Ningxia Region and to estimate the genetic parameters of calves using linear models and threshold models. Descriptive statistics were made for 43,847 Holstein calves born from 2018 to 2022 in Ningxia. The number of calves that died at 2-30 d was the highest, the survival rate was the lowest at 451-750 d, followed by 61-180 d and 2-30 d. Studies on the survival rates of calves born in different months have found that calves born in April have the lowest survival rates and calves born in October and December have higher survival rates. Calves born in autumn, third parity, and singleton calves are more likely to survive. The heritability of calf survival traits ranged from 0.002 ~ 0.136. Thus survival is a low heritability trait. Genetic correlation between different survival stages ranged from 0.3991 (2-30 d to 451-750 d) to 0.9985 (361-450 d to 451-750 d), the phenotypic correlation ranged from 0.1476 (2-30 d to 451-750 d) to 0.9582 (361-450 d to 451-750 d). The low genetic correlation between early and late survival suggests that survival in early and late stages may be influenced by different genetic factors. This study is helpful to understand the survival status of Holstein calves and provide a theoretical basis for improving the survival rate of calves.

Deficits in Emotional Perception–Related Motor Cortical Excitability in Individuals With Trait Anxiety: A Transcranial Magnetic Stimulation Study

Abnormal emotional perception may contribute to emotional dysfunction in individuals with anxiety. This study explored the progression of impaired emotional perception with the deepening of anxiety in individuals with nonclinical trait anxiety, by measuring the motor cortical excitability associated with emotional perception. In total, 87 participants were assigned to a high trait anxiety (n = 27), moderate trait anxiety (n = 30), or low trait anxiety (n = 30) group. Transcranial magnetic stimulation was applied to the right primary motor cortex at 150 ms or 300 ms after the onset of positive, negative, or neutral images, while participants performed an emotion recognition task, and motor‐evoked potentials (MEPs) were collected. For participants with low trait anxiety, MEP amplitudes were significantly higher for both negative and positive stimuli than for neutral stimuli. Participants with moderate trait anxiety showed significantly higher MEP amplitudes only for negative stimuli. Participants with high trait anxiety showed no significant difference in MEP amplitudes for positive, negative, and neutral stimuli. Trait anxiety score was negatively correlated with MEP amplitude: For higher trait anxiety scores, MEP amplitudes were correlated with lower emotional perception of positive and negative stimuli. Findings suggest that anxiety impairs emotional perception–related motor cortical excitability, starting with decreased motor cortical excitability responses to positive information and progressing to negative information as anxiety levels increase.

No modulation effects of depressive traits on the self-face advantage

The self-face advantage (SFA) is reflected through a faster recognition of a self-face compared to other faces. It has been suggested that this effect is prompted by one's positive self-evaluations. However, it is unclear whether negative self-concepts (depressive traits) also affect the SFA. The present study explored this possibility using a visual-search task. In Experiment 1, participants with low and high depressive traits were asked to search for frontal view images of self and unfamiliar faces among arrays of unfamiliar faces. Regardless of group, participants were better and faster in searching for the own face compared to the unfamiliar face. Similar findings were observed in Experiment 2, but the participants were more accurate when searching for their happy self-face compared to their sad and neutral faces. These results suggest that SFA is not modulated by depressive traits (i.e., negative self-concepts) and that familiarity effects for the own face could be implicated as an underlying factor for an attentional prioritization of the own face.

Estimation of the seminal parameters of rooster and its association with fertility traits in synthetic dam line.

The objective of the present study was to assess the seminal parameters of rooster and its association with fertility traits (%), viz., hatchability of the fertile egg set (HFES), hatchability of the total egg set (HTES), and fertility (FERT). The data records pertained to traits of interest were obtained from various registers maintained at Poultry farm, of the Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar (India). The relationship between seminal and fertility characteristics was investigated using regression analysis and correlation. Moreover, the efficacy of seminal characteristics to distinguish between roosters with low and high fertility traits was evaluated using linear discriminant analysis (LDA). The findings showed that reproductive traits and seminal characteristics were significantly (P < 0.05) correlated. The LDA showed that the seminal parameters can effectively separate the roosters into those with high and poor reproductive features. It was revealed from LDA that seminal features showed higher classification accuracy for FERT (80.77%). Hatchability is dependent on eggs that have been artificially incubated; hence, these crucial traits are comparatively weaker for HTES (65.38%) and HFES (67.31%). Cross-validation of the seminal parameter LDA corroborated the aforementioned and related conclusions. It is suggested that the studied LDA function may be utilised to choose genotypes with improved reproductive traits based on seminal variables.