Image Quality Assessment: Measuring Perceptual Degradation via Distribution Measures in Deep Feature Spaces.

This study aims to develop advanced and training-free full-reference image quality assessment (FR-IQA) models based on deep neural networks. Specifically, we investigate measures that allow us to perceptually compare deep network features and reveal their underlying factors. We find that distribution measures enjoy advanced perceptual awareness and test the Wasserstein distance (WSD), Jensen-Shannon divergence (JSD), and symmetric Kullback-Leibler divergence (SKLD) measures when comparing deep features acquired from various pretrained deep networks, including the Visual Geometry Group (VGG) network, SqueezeNet, MobileNet, and EfficientNet. The proposed FR-IQA models exhibit superior alignment with subjective human evaluations across diverse image quality assessment (IQA) datasets without training, demonstrating the advanced perceptual relevance of distribution measures when comparing deep network features. Additionally, we explore the applicability of deep distribution measures in image super-resolution enhancement tasks, highlighting their potential for guiding perceptual enhancements. The code is available on website. (https://github.com/Buka-Xing/Deep-network-based-distribution-measures-for-full-reference-image-quality-assessment).

Regulation of mineral elements in Hordeum brevisubulatum by Epichloë bromicola under Cd stress.

In this study, wild barley (Hordeum brevisubulatum) infected (E+) and uninfected (E-) by Epichloë bromicola were used for hydroponic experiments during the seedling stage. Various attributes, such as the effect of fungal endophyte on the growth and development of wild barley, the absorption of cadmium (Cd) and mineral elements (Ca, Mg, Fe, Mn, Cu, Zn), subcellular distribution, and chemical forms were investigated under CdCl2 stress. The results showed that the fungal endophy significantly reduced the Ca content and percentage of plant roots under Cd stress. The Fe and Mn content of roots, the mineral element content of soluble fractions, and the stems in the pectin acid or protein-chelated state increased significantly in response to fungal endophy. Epichloë endophyte helped Cd2+ to enter into plants; and reduced the positive correlation of Ca-Fe and Ca-Mn in roots. In addition, it also decreased the correlation of soluble components Cd-Cu, Cd-Ca, Cd-Mg in roots, and the negative correlation between pectin acid or protein-chelated Cd in stems and mineral elements, to increase the absorbance of host for mineral elements. In conclusion, fungal endophy regulated the concentration and distribution of mineral elements, while storing more Cd2+ to resist the damage caused by Cd stress. The study could provide a ground for revealing the Cd tolerance mechanism of endophytic fungal symbionts.

The present study is the first to study the effect of fungal endophy on essential mineral elements of plants under heavy metal stress, filling a gap in the existing research. The study could be helpful to reveal the mechanism of endophytic fungi to improve the host's tolerance to heavy metals and provide a foundation for the grass-endophyte symbionts to improve heavy metal-contaminated soils as ecological grasses.

Effect of Fungal Endophyte Epichloë bromicola Infection on Cd Tolerance in Wild Barley (Hordeum brevisubulatum).

Hydroponic Hordeum brevisubulatum (wild barley) was used as material in the greenhouse to study the effects of endophyte infection on plant growth, Cd absorption and transport, subcellular distribution, and Cd chemical forms under CdCl2 stress. Endophytic fungi respond positively to chlorophyll content and photosynthetic efficiency under Cd stress. The order of Cd absorption in different parts of the plant was: roots > stems > leaves. Endophyte infection increased the plant's absorption and transport of Cd while causing a significant difference in the stem, which was associated with the distribution density of endophyte hyphae. The proportion of organelle Cd in endophyte-infected wild barley was significantly higher, which facilitated more Cd transport to aboveground. Cd stress showed a slight effect on the chemical forms of Cd in leaves. The proportion of phosphate, oxalate, and residual Cd increased in the stem. Cd existed in the form of inorganic salt, organic acid, pectin, and protein in roots. Endophyte infection reduced the Cd content of the more toxic chemical forms to protect the normal progress of plant physiological functions. Therefore, the isolation of cell walls and vacuoles is a key mechanism for plant Cd tolerance and detoxification. As endophyte infections have more ability to absorb Cd in plants, H. brevisubulatum−Epichloë bromicola symbionts can improve heavy metal contaminated soil and water.

Joint Decision Tree and Visual Feature Rate Control Optimization for VVC UHD Coding.

In this paper, a joint decision tree and visual feature optimization rate control scheme for ultrahigh-definition (UHD) versatile video coding (VVC) is proposed. First, we design a new rate-distortion (R-D) model for UHD videos, and we establish a decision-tree-based multiclass classification scheme to improve the prediction accuracy of the R-D model by fully considering visual features. Second, based on the proposed R-D model, the globally optimal solution is obtained through convex optimization. Finally, we embed our algorithm into the latest VVC reference software, VTM 10.2. According to our experimental results, compared with the latest algorithm in VTM 10.2 and other state-of-the-art algorithms, our method can achieve significant bit rate reductions while maintaining a given peak signal-to-noise ratio (PSNR) or structural similarity index measure (SSIM).

Characterization of the complete chloroplast genome of Hordeum jubatum (Poaceae: Pooideae: Triticeae) and phylogenetic analysis.

Hordeum jubatum is a salt tolerant forage, which plays an important role in improving saline-alkali land and animal husbandry alkali-saline grassland. Hordeum jubatum has been gradually domesticated as an ornamental grass due to its special flower color. However, no domesticated varieties of H. jubatum plant have been reported worldwide. This study reported the complete chloroplast genome of wild H. jubatum, which was 136,871 bp in length, containing a pair of inverted repeats (IRA/IRB) of 21,608 bp separated by a small single-copy (SSC) area region of 12,799 bp and the large single-copy (LSC) region of 80,856 bp. A total of 133 genes, including 85 protein-coding genes (79 PCG species), 40 transfer RNA genes (32 tRNA species), and eight ribosomal RNA genes (four rRNA species) were predicted from the chloroplast genomes. The overall GC content was 38.25%, and the corresponding values of the LSC, SSC, and IR were 36.22%, 32.15%, and 43.85%, respectively. The phylogenetic analysis showed that wild H. jubatum was clustered closely with Hordeum bogdanii.

Complete chloroplast genomes of Achnatherum inebrians and comparative analyses with related species from Poaceae.

This article reports the complete chloroplast genome of Achnatherum inebrians, a poisonous herb that is widely distributed in the rangelands of Northern China. The genome is 137 714 bp in total and consists of a large single-copy (81 758 bp) region and small single-copy (12 682 bp) region separated by a pair of inverted repeats (21 637 bp). The genome contains 130 genes, including 84 protein-coding genes, 38 tRNA genes and 8 ribosomal RNA genes, and the guanine + cytosine content is 36.17%. We subsequently performed comparative analysis of complete genomes from A. inebrians and other Poaceae-related species from GenBank. Thirty-eight simple sequence repeats were identified, further demonstrating rapid evolution in Poaceae. Finally, the phylogenetic trees of 37 species of Poaceae and 2 species of Amaranthaceae were constructed by using maximum likelihood and Bayesian inference methods, based on the genes of the complete chloroplast genome. We identified hotspots that can be used as molecular markers and barcodes for phylogenetic analysis, as well as for species identification. Phylogenetic analysis indicated that A. inebrians is a member of the genus Stipa rather than Achnatherum.

Effects of Oat Varieties and Growing Locations on Seed-Borne Fungal Communities.

Many species of seed-borne fungi are closely allied with seed varieties and growing regions, including many seed-borne pathogens, but their species richness and distribution remain largely unknown. This study was conducted to explore the seed-borne fungal composition, abundance and diversity in Avena sativa (B7) and A. nuda (B2) seed samples collected from Baicheng (BB), Dingxi (DB) and Haibei (HB) city, using Illumina sequencing techniques. Our results show that a total of 543,707 sequences were obtained and these were assigned to 244 operational taxonomic units (OTUs) with 97% similarity. Oat varieties and growing locations had a significant difference on seed-borne fungal diversity. HB had a higher fungal diversity than BB and DB, Shannon diversity and ACE richness index of fungal in HB seeds was significantly higher than in BB and DB (P < 0.05). In different varieties, both taxon richness and evenness of B7 seeds was significantly higher than B2 (P < 0.05). A total of 4 fungal phyla and 26 fungal genera were detected. Ascomycota was the dominant phylum and Alternaria sp. was the most abundant genus in B2 and B7 oat seeds from different regions. Mycosphaerella sp. had a higher abundance in HB7 and DB7, respectively, Epicoccum sp. had a higher abundance in HB7 and BB7. The results of alpha and beta diversity analysis revealed the presence of different effects in fungal communities of different varieties and regions of oat, especially in seed pathogenic fungi distribution. Structural equation modeling also explained oat varieties and growing regions have significant influences on seed-borne fungal abundance, composition and diversity. This study demonstrated that the differences of varieties and regions are the main factors resulting in the changes of seed-borne fungal community of oat.

The First Report of Leaf Spot Caused by Alternaria alternata on Italian Ryegrass (Lolium multiflorum) in China.

Italian ryegrass (Lolium multiflorum Lam.) is one of the most important forage crops in southwestern China. In 2018, a leaf spot was observed in a field of Italian ryegrass in Mengyang, Sichuan province, China (30.96925°N, 104.10223°E). From January to early March, this leaf spot developed sporadically and appeared as brown to dark brown lesions. In late May, this disease reached a peak with incidence up to 80% and appeared as reddish-brown necrotic spots with a grayish white to brown center. To isolate the pathogen, sections (0.5 × 1 cm2) of 30 diseased leaves collected from 10 plants were surface-disinfested in 70% ethanol solution for 30 s, 5% NaOCl solution for 5 min, rinsed thrice in sterilized distilled water, air dried, plated on potato dextrose agar (PDA), and incubated at 25°C in the dark for 4 days. To obtain pure isolates, the single-spore isolation technique (Cai et al. 2009) was used. The conidial suspensions were diluted to a reasonable concentration, spread onto PDA, and incubated at 25°C in dark for 24 to 48 h, and then single germinated conidia were transferred onto new PDA plates (Cai et al. 2009). Nine pure isolates showing similar morphology were obtained for further study. Colonies on PDA were dark gray in the center surrounded by white to gray, with gossypine mycelia on the upper side, and red to dark red on the reverse side. Conidia were obclavate or pyriform, olivaceous to dark brown, with 0 to 6 transverse septa and 0 to 4 longitudinal septa, 13.2 to 55.0 (27.9) × 6.3 to 12.5 (9.8) µm. Conidiophores were septate, hyaline to olivaceous brown, either branched or unbranched, geniculate at the tip, 2.5 to 5.9 µm wide and up to 70 µm long. These morphological and cultural characteristics were consistent with the descriptions of Alternaria alternata (Fr.) Keissl. isolated from Apple (Elfar et al. 2018). To confirm the pathogenicity on Italian ryegrass, healthy plants (8-week-old) of cultivar Splendor grown in five pots filled with potting soil were spray-inoculated with conidial suspension (1 × 106 conidia/ml). Plants in another, five pots were sprayed with sterilized distilled water as controls. All pots were individually covered with transparent polyethylene bags for 5 days to maintain high relative humidity and placed in a greenhouse at 18 to 25°C. At 14 days post inoculation, symptoms typical of brown to dark brown leaf spots developed on the plants inoculated with conidial suspension, whereas no symptoms on the control plants. The pathogenicity tests were carried out three times. The same pathogen was consistently re-isolated from inoculated leaves and confirmed by morphological characterization as described above. To further identify this pathogen, isolate HMCH-9 (=CGMCC 3.19924) was selected as a representative for molecular characterization. Following Woudenberg et al. (2015), the internal transcribed spacer regions 1 and 2 and intervening 5.8S rDNA (ITS), glyceraldehyde-3-phosphate dehydrogenase (GPD), translation elongation factor 1-alpha (TEF), RNA polymerase second largest subunit (RPB2), and Alternaria major allergen (Alt) genes were partially amplified and sequenced. Sequences were deposited in GenBank (accession nos. MH567106 for ITS, MH567107 for GPD, MH567109 for TEF, MH567110 for RPB2, and MH567108 for Alt). BLAST analysis of all these five segments showed >99.8% identity with those sequences of ex-type isolate CBS 916.96 of A. alternata (Woudenberg et al. 2015). To our knowledge, this is the first report of A. alternata causing leaf spot on Italian ryegrass in China. The accurate identification of this pathogen would be useful for the prevention and control of leaf spot on Italian ryegrass in the future.