scholarly journals Responses of physiological indexes and leaf epicuticular waxes ofBrassica napustoSclerotinia sclerotioruminfection

2013 ◽  
Vol 63 (1) ◽  
pp. 174-184 ◽  
Author(s):  
Y. Ni ◽  
Y. -J. Guo ◽  
J. Wang ◽  
R. -E. Xia ◽  
X. -Q. Wang ◽  
...  
Keyword(s):  
Epicuticular Waxes ◽  
Physiological Indexes

The Effects of Visual Displays in Attenuating Discrepancies Between Self-Reported and Physiological Indexes of Stress

2020 ◽  
pp. 1-5
Author(s):  
Jenny J. W. Liu ◽  
Julia Gervasio ◽  
Kenneth Fung ◽  
Kristin Vickers
Keyword(s):  
Social Stress ◽  
Visual Display ◽  
Physiological Measures ◽  
Response Strategies ◽  
Subjective Evaluations ◽  
Stress Task ◽  
Physiological Indexes ◽  
Physiological Outcomes ◽  
Physiological Markers ◽  
The Relationship

Abstract. This study examined whether the relationship between subjective and physiological outcomes of stress, and the responsivity to stressors, are affected by whether participants can see a visual display of their physiological output. Participants were randomly assigned to have a visible view of their physiological output readings, or to a condition in which physiological output readings were out of view. Participants individually completed a 30-min laboratory study including the modified Trier Social Stress Task. Both physiological markers of stress (heart rate and blood pressure) and subjective evaluations of stress (visual analog scale) were measured. Results found little congruency across subjective and physiological measures of stress. The visible visual display condition had elevated physiological arousal, while no group differences were observed in self-reported stress. Findings from the study provide insight into the use of visual physiological displays and hold practical implications for both the measurement of stress in research, and the development of wearable technologies without accompanying response strategies.

scholarly journals Transcriptome analysis of Cinnamomum migao seed germination in medicinal plants of Southwest China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaolong Huang ◽  
Tian Tian ◽  
Jingzhong Chen ◽  
Deng Wang ◽  
Bingli Tong ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Seed Germination ◽  
Transcriptome Analysis ◽  
Energy Supply ◽  
Tricarboxylic Acid Cycle ◽  
Cell Structure ◽  
Seed Vigor ◽  
Differentially Expressed ◽  
Oil Bodies ◽  
Physiological Indexes

Abstract Background Cinnamomum migao is an endangered evergreen woody plant species endemic to China. Its fruit is used as a traditional medicine by the Miao nationality of China and has a high commercial value. However, its seed germination rate is extremely low under natural and artificial conditions. As the foundation of plant propagation, seed germination involves a series of physiological, cellular, and molecular changes; however, the molecular events and systematic changes occurring during C. migao seed germination remain unclear. Results In this study, combined with the changes in physiological indexes and transcription levels, we revealed the regulation characteristics of cell structures, storage substances, and antioxidant capacity during seed germination. Electron microscopy analysis revealed that abundant smooth and full oil bodies were present in the cotyledons of the seeds. With seed germination, oil bodies and other substances gradually degraded to supply energy; this was consistent with the content of storage substances. In parallel to electron microscopy and physiological analyses, transcriptome analysis showed that 80–90 % of differentially expressed genes (DEGs) appeared after seed imbibition, reflecting important development and physiological changes. The unigenes involved in material metabolism (glycerolipid metabolism, fatty acid degradation, and starch and sucrose metabolism) and energy supply pathways (pentose phosphate pathway, glycolysis pathway, pyruvate metabolism, tricarboxylic acid cycle, and oxidative phosphorylation) were differentially expressed in the four germination stages. Among these DEGs, a small number of genes in the energy supply pathway at the initial stage of germination maintained high level of expression to maintain seed vigor and germination ability. Genes involved in lipid metabolism were firstly activated at a large scale in the LK (seed coat fissure) stage, and then genes involved in carbohydrates (CHO) metabolism were activated, which had their own species specificity. Conclusions Our study revealed the transcriptional levels of genes and the sequence of their corresponding metabolic pathways during seed germination. The changes in cell structure and physiological indexes also confirmed these events. Our findings provide a foundation for determining the molecular mechanisms underlying seed germination.

scholarly journals Effects of cadmium stress on physiological indexes and fruiting body nutritions of Agaricus brasiliensis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lingyun Liu ◽  
Hua Chen ◽  
Jing Yuan ◽  
Yixiang Wang ◽  
Boqi Weng ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Cadmium Stress ◽  
Total Amino Acid ◽  
Fruiting Bodies ◽  
Cd Stress ◽  
Agaricus Brasiliensis ◽  
Nutritional Components ◽  
Physiological Indexes ◽  
Total Amino Acids ◽  
High Absorption

AbstractIn this study, 0, 0.5, 1, 1.5, 2, 4, 6 and 8 mg·kg−1 of cadmium were added to the cultivation materials. In order to study the effects of different concentrations of Cd stress on J1 and J77, the contents of antioxidant enzymes, proline and malondialdehyde, Cd content, agronomic traits and yield of fruiting bodies of Agaricus brasiliensis were determined, and the nutritional components such as polysaccharide, triterpene, protein, total sugar and total amino acid were determined. The results showed that the physiological indexes of strain J1 and J77 changed regularly under different concentrations of Cd stress. J1 was a high absorption and low tolerance variety, while J77 was a low absorption and high tolerance variety. Low concentration of Cd promoted the growth of strain J1, and higher concentration of Cd promoted the growth of strain J77. The contents of protein and total amino acids in the two strains changed greatly, followed by polysaccharides, which indicated that Cd stress had the greatest impact on the three nutrients, and other nutrients were not sensitive to Cd stress.

scholarly journals GROWTH DYNAMICS OF SESAME CULTIVARS

2018 ◽  
Vol 31 (4) ◽  
pp. 1062-1068
Author(s):  
Rayanne Maria Paula Ribeiro ◽  
José Ricardo Tavares de Albuquerque ◽  
Manoel Galdino dos Santos ◽  
Aurélio Paes Barros Júnior ◽  
Leilson Costa Grangeiro ◽  
...  
Keyword(s):  
Block Design ◽  
Growth Dynamics ◽  
Plant Performance ◽  
Physiological Processes ◽  
Cropping Season ◽  
Physiological Indexes ◽  
Crop Cycle ◽  
Beginning Of Flowering ◽  
Cropping Seasons ◽  
Physiological Complexity

ABSTRACT Sesame is a plant with high morphological and physiological complexity, with great variability in growth habit. Quantitative growth analysis is an accessible and accurate tool for evaluating plant development and the contribution of different physiological processes to plant performance. In view of this, the purpose of this study was to evaluate the growth of sesame cultivars in two cropping seasons in the conditions of Mossoró-RN. Two experiments were conducted in Horta Didactics of UFERSA. The experimental delineation in each time was a randomized complete block design with four replications. The treatments were arranged in split plots where each experimental plot contained different sesame cultivars, CNPA G2, CNPA G3 and CNPA G4, and the subplots represented seven collection times, 21, 35, 49, 63, 77, 91 and 105 days after sowing (DAS). The growth of the sesame cultivars was slow at the beginning of the crop cycle, intensifying at the beginning of flowering (after 35 DAS). Among the physiological indexes studied, CNPA G4 cultivar was more efficient in relation to growth and varied depending on the cropping season.

scholarly journals Physiological and Proteomic Dissection of the Responses of Two Contrasting Wheat Genotypes to Nitrogen Deficiency

2020 ◽  
Vol 21 (6) ◽  
pp. 2119 ◽  
Author(s):  
Mohammad Rezaul Karim ◽  
Ruonan Wang ◽  
Lu Zheng ◽  
Xiaoying Dong ◽  
Renfang Shen ◽  
...  
Keyword(s):  
Aluminum Toxicity ◽  
Nitrogen Deficiency ◽  
Differentially Expressed Proteins ◽  
Sulfate Assimilation ◽  
Label Free ◽  
Proteomics Analysis ◽  
Tetrapyrrole Synthesis ◽  
Adaptive Processes ◽  
Physiological Indexes ◽  
N Deficiency

Nitrogen deficiency usually occurs along with aluminum toxicity in acidic soil, which is one of the major constraints for wheat production worldwide. In order to compare adaptive processes to N deficiency with different Al-tolerant wheat cultivars, we chose Atlas 66 and Scout 66 to comprehensively analyze the physiological responses to N deficiency, coupled with label-free mass spectrometry-based proteomics analysis. Results showed that both cultivars were comparable in most physiological indexes under N deficient conditions. However, the chlorophyll content in Scout 66 was higher than that of Atlas 66 under N deficiency. Further proteomic analysis identified 5592 and 5496 proteins in the leaves of Atlas 66 and Scout 66, respectively, of which 658 and 734 proteins were shown to significantly change in abundance upon N deficiency, respectively. The majority of the differentially expressed proteins were involved in cellular N compound metabolic process, photosynthesis, etc. Moreover, tetrapyrrole synthesis and sulfate assimilation were particularly enriched in Scout 66. Our findings provide evidence towards a better understanding of genotype-dependent responses under N deficiency which could help us to develop N efficient cultivars to various soil types.

Developmental and seasonal variations in the epicuticular waxes of Tilia tomentosa leaves

1991 ◽  
Vol 30 (3) ◽  
pp. 769-773 ◽  
Author(s):  
P.-G. Gülz ◽  
E. Müller ◽  
R.B.N. Prasad
Keyword(s):  
Seasonal Variations ◽  
Epicuticular Waxes ◽  
Tilia Tomentosa

scholarly journals Constructing an Emotion Estimation Model Based on EEG/HRV Indexes Using Feature Extraction and Feature Selection Algorithms

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2910
Author(s):  
Kei Suzuki ◽  
Tipporn Laohakangvalvit ◽  
Ryota Matsubara ◽  
Midori Sugaya
Keyword(s):  
Feature Selection ◽  
Single Channel ◽  
Feature Selection Method ◽  
Classification Model ◽  
Features Selection ◽  
Selection Methods ◽  
Emotion Classification ◽  
Model Based ◽  
Physiological Indexes ◽  
Emotion Estimation

In human emotion estimation using an electroencephalogram (EEG) and heart rate variability (HRV), there are two main issues as far as we know. The first is that measurement devices for physiological signals are expensive and not easy to wear. The second is that unnecessary physiological indexes have not been removed, which is likely to decrease the accuracy of machine learning models. In this study, we used single-channel EEG sensor and photoplethysmography (PPG) sensor, which are inexpensive and easy to wear. We collected data from 25 participants (18 males and 7 females) and used a deep learning algorithm to construct an emotion classification model based on Arousal–Valence space using several feature combinations obtained from physiological indexes selected based on our criteria including our proposed feature selection methods. We then performed accuracy verification, applying a stratified 10-fold cross-validation method to the constructed models. The results showed that model accuracies are as high as 90% to 99% by applying the features selection methods we proposed, which suggests that a small number of physiological indexes, even from inexpensive sensors, can be used to construct an accurate emotion classification model if an appropriate feature selection method is applied. Our research results contribute to the improvement of an emotion classification model with a higher accuracy, less cost, and that is less time consuming, which has the potential to be further applied to various areas of applications.

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