bluuebunny/crossref_metadata_2025 huggingface dataset:
KCNQ1 Potassium Channel Expressed in Human Sperm Is Involved in Sperm Motility, Acrosome Reaction, Protein Tyrosine Phosphorylation, and Ion Homeostasis During Capacitation
Authors: Gao Tian , Li Kun , Liang Fei , Yu Jianmin , Liu Ajuan , Ni Ya , Sun Peibei
Published: October 2021

Potassium channels are involved in membrane hyperpolarization and ion homeostasis regulation during human sperm capacitation. However, the types of potassium channels in human sperm remain controversial. The voltage-gated ion channel KCNQ1 is ubiquitously expressed and regulates key physiological processes in the human body. In the present study, we investigated whether KCNQ1 is expressed in human sperm and what role it might have in sperm function. The expression and localization of KCNQ1 in human sperm were evaluated using Western blotting and indirect immunofluorescence. During capacitation incubation, human sperm were treated with KCNQ1- specific inhibitor chromanol 293B. Sperm motility was analyzed using a computer-assisted sperm analyzer. The acrosome reaction was studied using fluorescein isothiocyanate-conjugated Pisum sativum agglutinin staining. Protein tyrosine phosphorylation levels and localization after capacitation were determined using Western blotting and immunofluorescence. Intracellular K+, Ca2+, Cl−, pH, and membrane potential were analyzed using fluorescent probes. The results demonstrate that KCNQ1 is expressed and localized in the head and tail regions of human sperm. KCNQ1 inhibition reduced sperm motility, acrosome reaction rates, and protein tyrosine phosphorylation but had no effect on hyperactivation. KCNQ1 inhibition also increased intracellular K+, membrane potential, and intracellular Cl−, while decreasing intracellular Ca2+ and pH. In conclusion, the KCNQ1 channel plays a crucial role during human sperm capacitation.
Jasmonic Acid Impairs Arabidopsis Seedling Salt Stress Tolerance Through MYC2-Mediated Repression of CAT2 Expression
Authors: Song Ru-Feng , Li Ting-Ting , Liu Wen-Cheng
Published: October 2021

High salinity causes ionic, osmotic, and oxidative stresses to plants, and the antioxidant enzyme Catalase2 (CAT2) plays a vital role in this process, while how CAT2 expression is regulated during plant response to high salinity remains elusive. Here, we report that phytohormone jasmonic acid (JA) impairs plant salt stress tolerance by repressing CAT2 expression in an MYC2-dependent manner. Exogenous JA application decreased plant salt stress tolerance while the jar1 mutant with reduced bioactive JA-Ile accumulation showed enhanced salt stress tolerance. JA enhanced salt-induced hydrogen peroxide (H2O2) accumulation, while treatment with H2O2-scavenger glutathione compromised such effects of JA on plant H2O2 accumulation and salt stress tolerance. In addition, JA repressed CAT2 expression in salt-stressed wild-type plant but not in myc2, a mutant of the master transcriptional factor MYC2 in JA signaling, therefore, the myc2 mutant exhibited increased salt stress tolerance. Further study showed that mutation of CAT2 largely reverted lower reactive oxygen species (ROS) accumulation, higher CAT activity, and enhanced salt stress tolerance of the myc2 mutant in myc2 cat2-1 double mutant, revealing that CAT2 functions downstream JA-MYC2 module in plant response to high salinity. Together, our study reveals that JA impairs Arabidopsis seedling salt stress tolerance through MYC2-mediated repression of CAT2 expression.
Fine-Grained Grape Leaf Diseases Recognition Method Based on Improved Lightweight Attention Network
Authors: Wang Peng , Niu Tong , Mao Yanru , Liu Bin , Yang Shuqin , He Dongjian , Gao Qiang
Published: October 2021

Real-time dynamic monitoring of orchard grape leaf diseases can greatly improve the efficiency of disease control and is of great significance to the healthy and stable development of the grape industry. Traditional manual disease-monitoring methods are inefficient, labor-intensive, and ineffective. Therefore, an efficient method is urgently needed for real-time dynamic monitoring of orchard grape diseases. The classical deep learning network can achieve high accuracy in recognizing grape leaf diseases; however, the large amount of model parameters requires huge computing resources, and it is difficult to deploy to actual application scenarios. To solve the above problems, a cross-channel interactive attention mechanism-based lightweight model (ECA-SNet) is proposed. First, based on 6,867 collected images of five common leaf diseases of measles, black rot, downy mildew, leaf blight, powdery mildew, and healthy leaves, image augmentation techniques are used to construct the training, validation, and test set. Then, with ShuffleNet-v2 as the backbone, an efficient channel attention strategy is introduced to strengthen the ability of the model for extracting fine-grained lesion features. Ultimately, the efficient lightweight model ECA-SNet is obtained by further simplifying the network layer structure. The model parameters amount of ECA-SNet 0.5× is only 24.6% of ShuffleNet-v2 1.0×, but the recognition accuracy is increased by 3.66 percentage points to 98.86%, and FLOPs are only 37.4 M, which means the performance is significantly better than other commonly used lightweight methods. Although the similarity of fine-grained features of different diseases image is relatively high, the average F1-score of the proposed lightweight model can still reach 0.988, which means the model has strong stability and anti-interference ability. The results show that the lightweight attention mechanism model proposed in this paper can efficiently use image fine-grained information to diagnose orchard grape leaf diseases at a low computing cost.
Phenotypic Characteristics and Transcriptome of Cucumber Male Flower Development Under Heat Stress
Authors: Chen Lin , Yun Maomao , Cao Zhenqiang , Liang Zhaojun , Liu Wenrui , Wang Min , Yan Jinqiang , Yang Songguang , He Xiaoming , Jiang Biao , Peng Qingwu , Lin Yu’e
Published: October 2021

Cucumber (Cucumis sativus L.) is an important vegetable crop, which is thermophilic not heat resistant. High-temperature stress always results in sterility at reproductive stage. In the present study, we evaluate the male flower developmental changes under normal (CK) and heat stress (HS) condition. After HS, the activities of peroxidase (POD) and superoxide dismutase (SOD) and the contents of malondialdehyde (MDA) were increased. In addition, the pollen fertility was significantly decreased; and abnormal tapetum and microspore were observed by paraffin section. Transcriptome analysis results presented that total of 5828 differentially expressed genes (DEGs) were identified after HS. Among these DEGs, 20 DEGs were found at four stages, including DNA binding transcription factor, glycosyltransferase, and wound-responsive family protein. The gene ontology term of carbohydrate metabolic process was significantly enriched in all anther stages, and many saccharides and starch synthase-related genes, such as invertase, sucrose synthase, and starch branching enzyme, were significantly different expressed in HS compared with CK. Furthermore, co-expression network analysis showed a module (midnightblue) strongly consistent with HS, and two hub genes (CsaV3_6G004180 and CsaV3_5G034860) were found with a high degree of connectivity to other genes. Our results provide comprehensive understandings on male flower development in cucumber under HS.
Belief in Protecting Others and Social Perceptions of Face Mask Wearing Were Associated With Frequent Mask Use in the Early Stages of the COVID Pandemic in the UK
Authors: Warnock-Parkes Emma , Thew Graham R. , Clark David M.
Published: October 2021

Face masks are now seen as a key tool in the world’s recovery from the COVID-19 pandemic. However, during the early stages of the outbreak, face mask use in the United Kingdom (UK) was significantly lower than that of countries equally impacted by the virus. We were interested to explore whether social cognitions played a role in levels of mask wearing. A cross-sectional online survey of UK adults (n=908) was conducted in July 2020. Estimated face mask use and thoughts about wearing face masks were assessed using measures developed for this study. Participants also answered questions about their general mood, social anxiety and basic demographic data. Multiple regression was used to examine factors associated with mask wearing. Participants’ estimated mask wearing was low when in public spaces, such as the park (17%) or walking on the high street (36%). However, broadly fitting with UK guidance at the time, rates were considerably higher when in situations of closer proximity to others, such as on public transport (94%), in a shop or café (62%), when speaking to somebody in an enclosed public space (67%) or in a busy area when social distancing was not possible (79%). When looking at estimated mask wearing when in proximity to others, positive social cognitions (e.g., I’ll look confident and competent wearing a mask) were associated with more wearing, whereas negative social cognitions (e.g., I’ll look anxious, I’ll look foolish) were associated with less wearing. These results remained after controlling for factors that have indicated increased risk from COVID-19 (age, gender, ethnicity, presence of a health condition or pregnancy), belief about the health benefit for others and levels of depression and social anxiety. The largest predictors of mask wearing were the amount of people believed wearing a mask would keep others safe and the presence of an underlying health condition. The study findings indicate that future public health campaigns would benefit from a focus on strengthening beliefs about the protective benefits of masks, but also promoting positive social messages about wearing in public (e.g., mask wearing means you are confident and competent).
Work Engagement Among Public Employees: Antecedents and Consequences
Authors: Khusanova Rushana , Kang Seung-Wan , Choi Suk Bong
Published: October 2021

This study is an investigation of the relationships among job meaningfulness, work engagement, and performance, including testing for a possible mediation effect of work engagement on the relationship between job meaningfulness and performance. We examine task interdependence as a boundary condition that facilitates employee engagement using two-stage multiple-source respondent data drawn from a sample of 183 Uzbek employees from public organizations and their 47 supervisors to test the hypotheses. The research findings confirm a positive association between job meaningfulness and engagement and the relationship between work engagement and performance. Mediation analysis using bootstrapping indicated that work engagement explained the influence of meaningfulness on performance. Furthermore, task interdependence negatively moderated the relationship between meaningfulness and engagement. This study responds to calls for researchers to identify the key and situational drivers of work engagement as well as examine the importance of meaningfulness in the public sector. It also increases the external validity of the findings by examining the relationship between engagement and performance in a non-Western context, namely, Islamic Uzbekistan. Despite the limitations of this research, the empirical findings contribute to the growing body of research on work engagement and meaningfulness in public organizations.
Community Participation and Subjective Wellbeing: Mediating Roles of Basic Psychological Needs Among Chinese Retirees
Authors: Chen Lanshuang , Zhang Zhen
Published: October 2021

Objectives: Participation in various social organizations, including community organizations, has become an important part of later year. The current study examined the effects of community participation on subjective wellbeing (SWB) and mediating mechanisms among retired residents. Specifically, this study attempts to explain the link between community participation and SWB from the perspective of basic psychological needs (BPN).

Methods: A total of 1,458 community-dwelling retirees aged ≥50years in China participated in this study. A self-developed questionnaire measured the general levels of community participation. BPN were assessed with the BPN Scale. SWB was represented by life satisfaction, positive affect, and negative affect.

Results: Community participation positively predicted one’s SWB. Specifically, retirees with a higher levels of community participation often indicated higher life satisfaction and positive affect, and lower negative affect. Three BPN, which consist of needs for autonomy, competence, and relatedness, mediated the effect of community participation on SWB, respectively, after controlling for some main demographic and socioeconomic factors.

Conclusion: The BPN perspective provides a comprehensive explanation for understanding the link between community participation and SWB. Policymakers should consider the role of community participation when developing measures to improve retirees’ quality of life.
MIFAD-Net: Multi-Layer Interactive Feature Fusion Network With Angular Distance Loss for Face Emotion Recognition
Authors: Cai Weiwei , Gao Ming , Liu Runmin , Mao Jie
Published: October 2021

Understanding human emotions and psychology is a critical step toward realizing artificial intelligence, and correct recognition of facial expressions is essential for judging emotions. However, the differences caused by changes in facial expression are very subtle, and different expression features are less distinguishable, making it difficult for computers to recognize human facial emotions accurately. Therefore, this paper proposes a novel multi-layer interactive feature fusion network model with angular distance loss. To begin, a multi-layer and multi-scale module is designed to extract global and local features of facial emotions in order to capture part of the feature relationships between different scales, thereby improving the model's ability to discriminate subtle features of facial emotions. Second, a hierarchical interactive feature fusion module is designed to address the issue of loss of useful feature information caused by layer-by-layer convolution and pooling of convolutional neural networks. In addition, the attention mechanism is also used between convolutional layers at different levels. Improve the neural network's discriminative ability by increasing the saliency of information about different features on the layers and suppressing irrelevant information. Finally, we use the angular distance loss function to improve the proposed model's inter-class feature separation and intra-class feature clustering capabilities, addressing the issues of large intra-class differences and high inter-class similarity in facial emotion recognition. We conducted comparison and ablation experiments on the FER2013 dataset. The results illustrate that the performance of the proposed MIFAD-Net is 1.02–4.53% better than the compared methods, and it has strong competitiveness.
An Infant's Question on COVID-19 and Music: Should I Attend My Online Classes?
Authors: Papatzikis Efthymios
Published: October 2021

In the last few months, we all have faced a profound challenge to balance our lives amidst fighting the COVID-19 pandemic. The reactions to this coronavirus pandemic have no doubt affected all aspects of our everyday normalcy as they have called for an extended set of measures that have greatly impacted our social interactions and well-being. During this unprecedented global situation, the pandemic has also taken its toll on education, as schools, universities, and other educational institutions have suspended their programs or moved online to retain educational momentum. Among the programs that tried to adapt to this online model was the early years music education. This mini-review article aims to discuss the framework of online existence for the early years music programs amid the COVID-19 crisis, while considering their benefits and character under these extraordinary circumstances.
Longitudinal Association Between Cognition and Depression in Patients With Late-Life Depression: A Cross-Lagged Design Study
Authors: Wu Zhangying , Zhong Xiaomei , Peng Qi , Chen Ben , Zhang Min , Zhou Huarong , Mai Naikeng , Huang Xingxiao , Ning Yuping
Published: October 2021

Objectives: Although previous studies have extensively confirmed the cross-sectional relationship between cognitive impairment and depression in depressed elderly patients, the findings of their longitudinal associations are still mixed. The purpose of this study was to explore the two-way causal relationship between depression symptoms and cognition in patients with late-life depression (LLD).

Methods: A total of 90 patients with LLD were assessed across two time points (baseline and 1-year follow up) on measures of 3 aspects of cognition and depressive symptoms. The data were then fitted to a structural equation model to examine two cross-lagged effects.

Results: Depressive symptoms predicted a decline in executive function (β = 0.864, p = 0.049) but not vice versa. Moreover, depressive symptoms were predicted by a decline in scores of working memory test (β = −0.406, p = 0.023), respectively. None of the relationships between the two factors was bidirectional.

Conclusion: These results provide robust evidence that the relationship between cognition and depressive symptoms is unidirectional. Depressive symptoms may be a risk factor for cognitive decline. The decrease of information processing speed predicts depressive symptoms.
Systematic Review of Functional MRI Applications for Psychiatric Disease Subtyping
Authors: Miranda Lucas , Paul Riya , Pütz Benno , Koutsouleris Nikolaos , Müller-Myhsok Bertram
Published: October 2021

Background: Psychiatric disorders have been historically classified using symptom information alone. Recently, there has been a dramatic increase in research interest not only in identifying the mechanisms underlying defined pathologies but also in redefining their etiology. This is particularly relevant for the field of personalized medicine, which searches for data-driven approaches to improve diagnosis, prognosis, and treatment selection for individual patients.

Methods: This review aims to provide a high-level overview of the rapidly growing field of functional magnetic resonance imaging (fMRI) from the perspective of unsupervised machine learning applications for disease subtyping. Following the PRISMA guidelines for protocol reproducibility, we searched the PubMed database for articles describing functional MRI applications used to obtain, interpret, or validate psychiatric disease subtypes. We also employed the active learning framework ASReview to prioritize publications in a machine learning-guided way.

Results: From the 20 studies that met the inclusion criteria, five used functional MRI data to interpret symptom-derived disease clusters, four used it to interpret clusters derived from biomarker data other than fMRI itself, and 11 applied clustering techniques involving fMRI directly. Major depression disorder and schizophrenia were the two most frequently studied pathologies (35% and 30% of the retrieved studies, respectively), followed by ADHD (15%), psychosis as a whole (10%), autism disorder (5%), and the consequences of early exposure to violence (5%).

Conclusions: The increased interest in personalized medicine and data-driven disease subtyping also extends to psychiatric disorders. However, to date, this subfield is at an incipient exploratory stage, and all retrieved studies were mostly proofs of principle where further validation and increased sample sizes are craved for. Whereas results for all explored diseases are inconsistent, we believe this reflects the need for concerted, multisite data collection efforts with a strong focus on measuring the generalizability of results. Finally, whereas functional MRI is the best way of measuring brain function available to date, its low signal-to-noise ratio and elevated monetary cost make it a poor clinical alternative. Even with technology progressing and costs decreasing, this might incentivize the search for more accessible, clinically ready functional proxies in the future.
Anxiety and Depressive Disorders and Quality of Life Assessment of Poles—A Study Covering Two Waves of the COVID-19 Pandemic
Authors: Babicki Mateusz , Bogudzińska Bogna , Kowalski Krzysztof , Mastalerz-Migas Agnieszka
Published: October 2021

Background: More than a year after the first case of SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) viral pneumonia, the world is still engulfed by the pandemic, and we know that this condition has an enormous impact not only on individuals but also on the social order in virtually every aspect of daily life, deteriorating our mental health. This study aims to assess the prevalence of depressive and anxiety symptoms and the subjective assessment of the quality of life in the different stages of the COVID-19 (Coronavirus Disease 2019) pandemic based on a nationwide online survey.

Materials and Methods: The study was conducted using an original questionnaire assessing the sociodemographic status and standardized psychometric tools: Beck Depression Inventory (BDI), Generalized Anxiety Disorder (GAD-7) and Manchester Short Assessment of Quality of Life (MANSA). The study was conducted in two stages corresponding to the first and second wave of the COVID-19 pandemic.

Results: In total, 4,083 respondents participated in the survey. The first observation stage took place between 17 and 26 April 2020 and comprised 2,457 respondents; the repeated survey that took place between 1 and 30 December 2020 comprised 1,626 respondents. In both cases, women constituted the majority of respondents (82.5% in the first stage and 79.6% in the second stage). Statistically significantly higher levels of depression and anxiety were found in second stage, with mean scores of BDI and GAD-7. In the case of MANSA, participants in the different stages of the pandemic showed no significant differences in terms of mean scores. However, women were more susceptible to developing the depression and anxiety symptoms and it was obtained in both waves of the pandemic

Conclusions: As the Covid-19 pandemic progressed, there was higher level of depressive and anxiety symptoms among Poles.
Psychometric Properties and Measurement Invariance of the Cognitive Emotion Regulation Questionnaire in Chinese Adolescents With and Without Major Depressive Disorder: A Horizontal and Longitudinal Perspective
Authors: Ding Fengjiao , Wang Xin , Cheng Chang , He Jiayue , Zhao Haofei , Wu Daxing , Yao Shuqiao
Published: October 2021

Objective: The purpose of this study was to examine the psychometric properties and posited nine-factor structure of the Chinese version of the Cognitive Emotion Regulation Questionnaire (CERQ-C) in high school students and adolescents with major depressive disorder (MDD), including assessment of measurement invariance of CERQ-C and its subscales across gender, time, and presence of depression.

Methods: Chinese high school students from Hunan Province (N = 1,253) and adolescents with major depressive disorder (MDD) from the Medical Psychological Institute outpatient clinic at The Second Xiangya Hospital (N = 205) were enrolled. We examined the reliability, and model fit of the CERQ-C. Multigroup confirmatory factor analysis (CFA) was used to test measurement invariance of the subscales across gender, time, and presence of depression.

Results: The CERQ-C subscales showed good internal consistency and moderate test-retest reliability in high school students and excellent internal consistency in adolescents with MDD group. The nine-factor model yielded adequate fit indices in different samples. Multigroup CFA confirmed that CERQ-C is strongly equivalent across gender, time, and presence of depression.

Conclusions: The CERQ-C is a valid, reliable, and stable instrument for the evaluation of the cognitive emotion regulation (ER) strategies for different samples, including high school students and adolescents with MDD. The horizontal and longitudinal equivalences are strongly established.
Sexual Minority Orientation Is Associated With Greater Psychological Impact Due to the COVID-19 Crisis—Evidence From a Longitudinal Cohort Study of Young Swiss Men
Authors: Marmet Simon , Wicki Matthias , Gmel Gerhard , Gachoud Céline , Bertholet Nicolas , Studer Joseph
Published: October 2021

Background: The COVID-19 pandemic and its countermeasures may have had a significant impact on the psychological well-being of specific population subgroups. The present study investigated whether sexual minority men (defined here as attracted partly or exclusively to men) from an ongoing cohort study of young Swiss men experienced different psychological impacts, levels of substance use and addictive behaviors, and to which degree pre-existing vulnerabilities and participants experiences during the crisis might explain these differences.

Methods: An ongoing cohort sample based on the general population of young Swiss men (mean age = 29.07 years; SD = 1.27) was assessed before and during the COVID-19 crisis for depression, stress, sleep quality, substance use and addictive behaviors. Additionally, during the crisis, we assessed its impact in form of fear, isolation and traumatic experiences. Potential associations between these outcomes and sexual orientation (sexual minority vs. heterosexual) were tested using linear regression models. It was additionally estimated to which degree these associations were attenuated if adjusted for differences in mental health, personality and socioeconomic status before the crisis, as well as the experience of the COVID-19 crisis (infection with the virus and changes to work situation).

Results: Compared to heterosexual men, sexual minority men showed higher levels of psychological trauma (b = 0.37 [0.25, 0.49]), fear (b = 0.18 [0.06, 0.30]) and isolation (b = 0.32 [0.20, 0.44]) due to the COVID-19 pandemic as well as higher levels of depression (b = 0.31 [0.20, 0.41]) and lower sleep quality (b = −0.13 [−0.24, −0.02]) during the crisis. These differences were to a large degree explained by higher pre-crisis levels of mental health problems and the personality dimension of neuroticism-anxiety. Sexual minority men showed higher overall levels of substance use and addictive behaviors, but these differences were already present before the crisis.

Conclusion: The COVID-19 crisis may have worsened pre-existing vulnerabilities in sexual minority men, leading to its greater psychological impact on them than on heterosexual men. Reducing minority stress due to sexual orientation may help not only to improve mental health among important proportions of the population but also to reduce their vulnerability to crises. Services offering psychological support to sexual minorities may need to be reinforced during crises.
Intranasal Dexmedetomidine Accompanied by Cartoon Video Preoperation for Reducing Emergence Delirium in Children Undergoing Strabismus Surgery: A Prospective Randomized Trial
Authors: Chu Liyan , Wang Yue , Wang Shanshan , Su Shaofei , Guo Zhixing , Wang Guyan
Published: October 2021

Background: After general anesthesia, many pediatric patients present with emergence delirium (ED). The aim of this study was to determine whether dexmedetomidine intranasal premedication accompanied by a cartoon video 30 min before general anesthesia would have an effect on reducing emergence delirium in preschool children.

Methods: One hundred and forty children aged 3–6 year undergoing elective strabismus surgery were randomly to be premedicated with 2 μg kg−1 intranasal dexmedetomidine accompanied by the viewing of a cartoon video (Group DV) or without any premedication as usual (Group C). The primary outcome was the incidence of emergence delirium at the postanesthesia care unit (PACU), evaluated by the Pediatric Anesthesia Emergence Delirium (PAED) scale. The secondary outcomes included: the Modified Yale Preoperative Anxiety Scale (mYPAS) upon separation from parents; the Induction Compliance Checklist score (ICC); the PACU discharge time; the parental satisfaction score; the incidences of the side effects and the Post-Hospital Behavior Questionnaire (PHBQ) score during the first day after surgery.

Results: The incidence of emergence agitation (PAED score ≥ 10) was reduced in Group DV compared with Group C [8 (11.4%) vs. 24 (34.3%); P = 0.001]. None of the patients in the DV group experienced severe emergence agitation (PAED score ≥ 15), as compared with the C group (P = 0.006). The mYPAS score upon separation from parents (P < 0.001) and the incidence of poor coordination (ICC ≥ 4) during induction (P < 0.001) were significantly lower in Group DV than in Group C. In Group DV, the PACU discharge time was longer (P < 0.001), and the parental satisfaction score was higher (P < 0.001). However, during the first day after surgery, the PHBQ score was lower in Group DV compared with Group C (P = 0.001).

Conclusions: Premedication with 2 μg kg−1 intranasal dexmedetomidine accompanied by cartoon video viewing can dramatically reduce emergence delirium in preschool children undergoing strabismus surgery, relieve preoperative anxiety and improve the parental satisfaction and the postoperative behavior changes during the first day after surgery.

Clinical Trial Registration: ChiCTR2000030678.
Methodologies to Assess the Bioactivity of an Herbal Extract on Immunity, Health, Welfare and Production Performance in the Chicken: The Case of Melissa officinalis L. Extract
Authors: Travel Angélique , Petit Angélique , Barat Perrine , Collin Anne , Bourrier-Clairat Camille , Pertusa Marion , Skiba Fabien , Crochet Sabine , Cailleau-Audouin Estelle , Chartrin Pascal , Guillory Vanaïque , Bellenot Denis , Guabiraba Rodrigo , Guilloteau Laurence A.
Published: October 2021

The potential of herbal extracts containing bioactive compounds to strengthen immunity could contribute to reducing antimicrobial use in poultry. This study aimed at developing a reliable and robust methodological pipeline to assess the ability of herbal extracts to strengthen chicken innate defenses, especially concerning inflammation and oxidative stress. This methodology was applied to Melissa officinalis L. (MEL) extract, recognized for its biological activities including antioxidant and anti-inflammatory properties. Different methods were used to (1). guarantee the quality of MEL extract and its capacity to stimulate the innate immune system; (2). evaluate the relevance of an ex vivo model to mimic inflammatory and oxidative stress challenges to replace LPS injection in chickens; (3). analyse the effects of feed supplemented with MEL extract on inflammation and oxidative stress induced ex vivo; (4). assess the effects of MEL extract on the redox balance, health, welfare and performance in broilers exposed to suboptimal starting conditions through a large-scale approach. The quality of MEL extract preparations, through phytochemical quantification of rosmarinic acid (RA), revealed varying concentrations of RA in the different MEL extracts. RA concentrations remained stable for at least 9 months and in feed three months after incorporating MEL extract. When incubated with chicken cell lines MEL extract showed potential metabolic activation and ability to stimulate immune functions but induced cytotoxicity at high concentrations. The original ex vivo model of inflammation developed on chicken blood cells enabled inflammation and oxidative stress biomarkers to be expressed and revealed antioxidative and anti-inflammatory properties of blood cells from chickens fed MEL extract. The experimental model of chicken suboptimal starting conditions validated beneficial effects of MEL extract on the redox balance and also evidenced improved performance during the growth phase, a tendency for fewer muscle defects but a higher severity of pododermatitis lesions without affecting other welfare indicators. This study grouped methods and tools that could be combined according to the plant extract, the needs of professionals working in poultry production systems and staff responsible for animal health, welfare and feeding.
Effect of Plant-Growth-Promoting Fungi on Eggplant (Solanum melongena L.) in New Reclamation Land
Authors: Li Xuqing , Li Dingyi , Yan Jianli , Zhang Ya , Wang Hong , Zhang Jingze , Ahmed Temoor , Li Bin
Published: October 2021

Land reclamation may expand the supply of usable land for food security. Immature soil is not suitable for plant growth and needs to be amended by the addition of organic matter and plant growth-promoting (PGP) microorganisms. However, the effects of different PGP fungi on plant growth in immature soil are largely unexplored. In order to obtain beneficial soil microorganisms with a good PGP ability in new reclamation land, 162 fungal isolates were isolated from different abandoned wastelands, four isolates of which were obtained in this study by the screening of P solubilization, siderophore production, and indole acetic acid (IAA) production. The result of this study revealed that isolate HZ123 had the highest ability to solubilize P and produce siderophores and IAA, followed by HZ23, HZ10, and HZ06. Based on the results of morphological and molecular analyses, isolate HZ06 was identified as Penicillium oxalicum, isolates HZ23 and HZ10 were identified as Aspergillus brunneoviolaceus, and isolate HZ123 was identified as Aspergillustubingensis. Furthermore, the results of in vivo PGP assays demonstrated that isolate HZ123 has a minimal negative effect on the growth of eggplant; however, the other three isolates, particularly isolate HZ06, caused the greatest increase in eggplant biomasses. Overall, these results indicate that isolate HZ06 has great potential as a PGP fungus to develop biofertilizer for application in eggplant production in immature soil from new reclamation land.
Can Spectrophotometry Be Used to Quantify Zingiberene Sesquiterpenoids in Tomato Leaflet Extracts?
Authors: Dawood Mohammad , Snyder John C.
Published: October 2021

The presence of 7-epi zingiberene in wild tomatoes has been associated with arthropod resistance. Consequently, tomato breeders are attempting to introgress 7-epi zingiberene from wild to cultivated tomato requiring quantification of zingiberene. 7-Epi zingiberene likely absorbs UV light due to its conjugated double bonds and others have claimed that measurement of absorbance at 270 nm of tomato leaflet washes can be used to quantify zingiberene. However, this claim has never been critically evaluated. We initially evaluated this claim in an interspecific hybrid tomato generation that was segregating widely for zingiberene. Results indicated that the method does not obey the Beer–Lambert law. Consequently, we examined in detail aspects of the UV-absorbance of isolated zingiberenoids and leaflet washes obtained from parents and interspecific generations that were segregating for 7-epi zingiberene. Results indicated that isolated zingiberenoids, as well as leaflet washes containing zingiberenoids, have broad absorbance spectra with a λmax of 264 nm. For isolated zingiberenoids, the relationship between abundance and absorbance at 264 nm did obey the Beer–Lambert law. Average absorbance spectra for leaflet washes from interspecific generation plants showed subtle λmax shifts. Furthermore, the relationship between absorbance at 264 nm and zingiberenoid content of these generations did not obey the Beer–Lambert law. The use of multiple wavelengths for estimation of zingiberenoids in these breeding generations was explored and the inclusion of additional absorbances at one or two wavelengths always improved estimates. However, identified wavelength(s) differed among generations. Taken together, the results indicate that measurement of absorbance of tomato leaflet washes at a single wavelength is not a reliable quantitative estimate of zingiberenoids in leaflet washes. Estimates can be improved by utilizing absorbance at multiple wavelengths, but the particular wavelengths will vary among generations. Lastly, measurement of absorbance may be useful for identifying those relatively rare individuals in a generation that is widely segregating for zingiberenoid content. However, even in this situation, the determination of the actual 7-epi zingiberene content would need to be backstopped by a valid quantitative method.
Appreciating Multiple Realities in the Transformation towards a Sustainable Dairy Sector: An Explorative Study from the Inside-Out Perspective
Authors: Engelberts Liz , van Rheede Arjan , Kievit Henk , Nijhof André
Published: October 2021

The dairy sector is in a systemic lock-in due to reinforcing cycles. This qualitative study, based on 13 in-depth interviews with frontrunning dairy farmers and additional observations, challenges this impression by looking at the sustainable business model innovation from the inside-out perspective of the sustainability-driven niche. The theoretical foundation rests in market transformation, looking at the co-evolution of sustainable business models, regime, system barriers and niche players. The objective is to gain a better understanding on the practices of frontrunner dairy farmers that innovate and overcome system barriers in the transformation from the current regime. The data is collected in 2020 and the analysis is based on template analysis. This study clustered the practices in five groups: an extra margin on milk, perceived support for product diversification, partnerships with specialists, increased transparency, and use of modern technology. Additionally, the appreciation by the farmers of multiple realities and their entrepreneurial competencies helped the dairy farmers to re-establish a closer connection between farmer and consumer, and a better connection between farmer and the production environment, resulting in more biodiverse and landscape-inclusive dairy farming. These insights will help policy makers better cater to the beliefs and values of dairy farmers.
Sensory Analyses and Nutritional Qualities of Wheat Population Varieties Developed by Participatory Breeding
Authors: Vindras-Fouillet Camille , Goldringer Isabelle , Frank Gaëlle van , Dewalque Marc , Colin Axel , Montaz Hélène , Berthellot Jean-François , Baltassat Raphaël , Dalmasso Christian
Published: October 2021

Wheat is a staple food in many diets and is currently cultivated worldwide. It provides a large proportion of the daily energy intake and contributes to food balance. Changes in agro-industrial practices in the bread sector, from the field to bread-making, have led to an increase in chronic diseases and nutritional deficits, emphasizing the link between food and health. Several levers could be used to improve the nutritional quality of bread wheat. Organic farming, by avoiding the use of pesticides, might allow for greater consumption of wholegrain products. Breeding wheat cultivars with an enhanced mineral content may serve as another lever. In this context, the on-farm participatory plant-breeding of highly diversified varieties could provide promising resources. This study investigated the sensory and nutritional quality of nine population varieties resulting from a ten-year participatory plant-breeding process compared to two commercial pure-line varieties. Analysis of variance showed genotype effects for Mg and Zn concentration, so breeding for a high Mg and Zn concentration can reasonably be envisaged. Moreover, a positive correlation was found between plant height, peduncle height (distance between the Last Leaf and Spike (LLSD)) and nutrient content. Finally, as population varieties express more differences in their profile when grown in less fertile soils, these results emphasize the benefits of genetic diversity for diverse nutritional intake and sensory properties.
Efficacy of Weed Management Techniques on Weed Control, Biomass Yield, and Soil Herbicide Residue in Transplanted Wild Marigold (Tagetes minuta L.) under High Rainfall Conditions of Western Himalaya
Authors: Walia Swati , Banerjee Tirthankar , Kumar Rakesh
Published: October 2021

A reduced herbicide rate with hand-weeding (HW) can act as a safer and sustainable approach for weed control. A field study was conducted at CSIR-IHBT, Palampur, India during 2018 and 2019 to analyze the efficacy of herbicides in combination with manual weeding on weed control and the yield of wild marigold (Tagetes minuta L). The experiment was laid with 12 treatments, consisting of two herbicide dosages with prescribed and reduced rates (R) of pendimethalin, imazethapyr, and carfentrazone-ethyl, along with integration of reduced-rate herbicide treatments with HW. The weed population, dry matter, and the crop biomass yield had a significant effect on different weed-control treatments. Imazethapyr (R) with HW recorded a reduced weed number (9.64 m−2) and weed dry matter (13.64 g m−2) and a greater biomass yield (235.03 q ha−1). All the herbicides with integration with HW decreased the weed infestation and enhanced the biomass yield. The weed control efficacy of imazethapyr was higher than pendimethalin and carfentrazone-ethyl. Weed infestation in reduced doses of herbicides with HW was lower than in recommended doses. Herbicide residues in the soil of all herbicides at both the dosages were below the detectable limit (<0.001 μg g−1). Therefore, a reduced dose of imazethapyr integrated with HW can be prescribed to T. minuta growers as a more sustainable approach.
Postpartum Stressors Cause a Reduction in Mechanical Brush Use in Dairy Cows
Authors: Lecorps Benjamin , Welk Allison , Weary Daniel M. , von Keyserlingk Marina A. G.
Published: October 2021

Dairy cows are often subjected to multiple post-partum stressors but how these stressors impact cows’ affective states remain poorly understood. Negative affective states are often associated with reduced expression of low-resilience behaviors, so we explored whether cows would reduce their use of a brush after calving. Before calving, cows were offered the opportunity to use a mechanical brush once a week for 10 min. In Experiment 1, we explored whether cows reduced their use of a mechanical brush after parturition (compared to prepartum values) when subjected to the myriad of stressors typically experienced by cows at this time. In Experiment 2, we assessed the effect of cow–calf separation. Results from Experiment 1 showed that cows displayed a reduced brush use following parturition compared to the week before calving. In Experiment 2, we showed that cows given more time to bond with their calf, and who were separated more recently from their calf, showed a more pronounced reduction in brush use. Cows provided part-time contact with their calf for 29 days also reduced their brush use when they were permanently separated from their calf on day 30 after calving. These results suggest that cows experienced anhedonia and point to new directions for research on dairy cow affective states.
Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review
Authors: Qiao Yongliang , Kong He , Clark Cameron , Lomax Sabrina , Su Daobilige , Eiffert Stuart , Sukkarieh Salah
Published: October 2021

The growing world population has increased the demand for animal-sourced protein. However, animal farming productivity is faced with challenges from traditional farming practices, socioeconomic status, and climate change. In recent years, smart sensors, big data, and deep learning have been applied to animal welfare measurement and livestock farming applications, including behaviour recognition and health monitoring. In order to facilitate research in this area, this review summarises and analyses some main techniques used in smart livestock farming, focusing on those related to cattle lameness detection and behaviour recognition. In this study, more than 100 relevant papers on cattle lameness detection and behaviour recognition have been evaluated and discussed. Based on a review and a comparison of recent technologies and methods, we anticipate that intelligent perception for cattle behaviour and welfare monitoring will develop towards standardisation, a larger scale, and intelligence, combined with Internet of things (IoT) and deep learning technologies. In addition, the key challenges and opportunities of future research are also highlighted and discussed.
A Controlled Clinical Study of Intensive Neurorehabilitation in Post-Surgical Dogs with Severe Acute Intervertebral Disc Extrusion
Authors: Martins Ângela , Gouveia Débora , Cardoso Ana , Carvalho Carla , Coelho Tiago , Silva Cátia , Viegas Inês , Gamboa Óscar , Ferreira António
Published: October 2021

This retrospective controlled clinical study aimed to verify if intensive neurorehabilitation (INR) could improve ambulation faster than spontaneous recovery or conventional physiotherapy and provide a possible therapeutic approach in post-surgical paraplegic deep pain perception-positive (DPP+) (with absent/decreased flexor reflex) and DPP-negative (DDP−) dogs, with acute intervertebral disc extrusion. A large cohort of T10-L3 Spinal Cord Injury (SCI) dogs (n = 367) were divided into a study group (SG) (n = 262) and a control group (CG) (n = 105). The SG was based on prospective clinical cases, and the CG was created by retrospective medical records. All SG dogs performed an INR protocol by the hospitalization regime based on locomotor training, electrical stimulation, and, for DPP−, a combination with pharmacological management. All were monitored throughout the process, and measuring the outcome for DPP+ was performed by OFS and, for the DPP−, by the new Functional Neurorehabilitation Scale (FNRS-DPP−). In the SG, DPP+ dogs had an ambulation rate of 99.4% (n = 167) and, in DPP−, of 58.5% (n = 55). Moreover, in DPP+, there was a strong statistically significant difference between groups regarding ambulation (p < 0.001). The same significant difference was verified in the DPP– dogs (p = 0.007). Furthermore, a tendency toward a significant statistical difference (p = 0.058) regarding DPP recovery was demonstrated between groups. Of the 59 dogs that did not recover DPP, 22 dogs achieved spinal reflex locomotion (SRL), 37.2% within a maximum of 3 months. The progressive myelomalacia cases were 14.9% (14/94). Therefore, although it is difficult to assess the contribution of INR for recovery, the results suggested that ambulation success may be improved, mainly regarding time.