Genomic selection holds the potential to serve as a strategic tool to enhance the genetic gain of complex traits in Miscanthus breeding programs. The development of improved cultivars requires their assessment for various traits across diverse environments to ensure suitable overall performance. Hence, the multi-trait multi-environment (MTME) genomic prediction (GP) models offer an opportunity to improve selection accuracy. This study aims to evaluate the potential of five GP models: (1) three MTME models including genotype-by-trait-by-environment interaction (G×E×T) and (2) two single-trait multi-environment (STME) models (with and without G×E interaction). A Miscanthus sacchariflorus population comprising 336 genotypes evaluated in three environments and scored for four traits (biomass yield YDY, total culm number TCM, average internode length AIL, and culm node number CNN) was analyzed. The predictive ability of the models was evaluated considering three cross-validation schemes resembling realistic scenarios (CV1: predicting new genotypes, CVP: predicting missing traits in a given environment, and CV2: predicting partially observed genotypes). On average, in all cross-validation schemes compared to the STME the predictive ability of the MTME models was 10% to 70% higher for TCM and AIL. On the other hand, for YDY and CNN, both STME models performed similarly or slightly better (between 5 to 64%) than the MTME models in most environments. While the MTME models were not successful for all traits when compared to their STME counterparts, MTME models improved the prediction of the performance of genotypes that were untested across environments or lacked trait information in a specific environment. Overall, our study suggests that MTME GP models can be implemented in Miscanthus breeding programs to improve the predictive ability of the complex traits, shorten breeding cycles, and accelerate selection decisions.

Phenotyping high-biomass perennial crops is laborious and the rate of genetic gain in conventional perennial crop breeding programs is typically low. So, it is especially important to identify methods that produce efficiency gains in the breeding process. Miscanthus is a C4 perennial grass with favorable characteristics for producing biomass as a feedstock for biofuels and diverse bio-based products. Increasing biomass yield will increase profitability and environmental benefits, so it is a key target for Miscanthus breeding. In addition, the identification of well-adapted genotypes across a wide range of environmental conditions requires the establishment of multi-environment trials (METs). Sparse testing is a genomic prediction-based strategy that reduces the phenotyping costs in METs by selecting a subset of genotypes to evaluate in a subset of environments and then predicts the performance of the unobserved genotype-environment combinations. A Miscanthus sacchariflorus (MSA) population comprising 336 genotypes observed across three environments was analyzed implementing sparse testing designs. Three prediction models considering main effects (environments, genotypes, genomic) and interaction effects (genotype-by-environment; G×E interaction) were implemented for forecasting dry biomass yield (YDY), total culm (TCM), average internode length (AIL), and culm node number (CNN). Multiple calibration sets based on different compositions and sizes were considered to evaluate performance in terms of the predictive ability (PA) and the mean square error (MSE) for a fixed testing set size. The training set size ranged from 52 to 112 to predict a fixed set of 224 unobserved genotypes across all three environments. The results showed that the model accounting for G×E interaction consistently presented the highest PA and the lowest MSE: for CNN (PA: ~0.77, MSE: ~0.5) and YDY (PA: ~0.70, MSE: ~1.3) while for TCM and AIL these ranged from ~0.28 to 0.41 and ~1.3 to 4.3, respectively. Overall, varying training sets and allocation strategies did not affect PA and MSE, with 52 non-overlapping and 0 overlapping genotypes per environment as the optimal cost-effective allocation framework. This suggests that implementing sparse testing designs could significantly reduce phenotyping costs by fivefold, without compromising PA in breeding programs for perennial crops such as Miscanthus.

This study aimed to investigate the effects of cobalt (Co) and zinc (Zn) on the growth, antioxidant activity, total phenolic and flavonoid contents (TPC and TFC), targeted polyphenolic compounds, and molecular dynamics simulations of Rehmannia glutinosa (R. glutinosa) L. Plants were exposed to varying concentrations of Zn (0.01 to 1 ppm) and Co (0.01 to 1 ppm). Growth parameters, including plant height, number of leaves, and root length, were measured. The antioxidant activity, TPC, and TFC were evaluated using standard biochemical assays. liquid chromatography-tandem mass spectrometry was used to quantify the target polyphenolic compounds. Catalase and ascorbate peroxidase activities were also assessed. A 100 ns molecular dynamics simulation was performed to analyze the stability of key phytochemicals with high binding affinities and docking scores. At lower concentrations, Zn significantly enhanced plant growth, whereas at higher concentrations, it inhibited it. Co at 0.01 and 0.1 ppm adversely affected growth, and 1 ppm led to necrosis and plant death. Maximum TPC and TFC were observed at 0.01 ppm Zn, while 0.1 ppm Co resulted in elevated TPC and TFC. Antioxidant activity increased at lower metal concentrations. The enzymatic activity varied significantly in response to exposure to Zn and Co. Molecular dynamics simulations confirmed the stability of major polyphenols, such as luteolin, pelargonidin chloride, and ferulic acid, under different metal stress conditions. Exposure to Zn and Co significantly affects the growth, metabolism, and antioxidant activity of R. glutinosa. Lower concentrations of these metals may promote the synthesis of phenolic compounds, whereas higher concentrations may cause oxidative stress and growth inhibition. Molecular dynamics analysis supported these biochemical findings, demonstrating that specific phytochemicals remain stable under metal stress conditions.

A novel and divergent strain of Miscanthus streak virus (MiSV) was isolated from Miscanthus sacchariflorus from South Korea. The complete genome of this MiSV is 2,675 nt, which is predicted to include four open reading frames on the virus and complementary strands. MiSV (syn. Mastrevirus miscanthi) is a member of the genus Mastrevirus and family Geminiviridae. MiSV has previously been reported only from Japan more than 30 years ago. The genomes of four MiSV isolates from South Korea share a pairwise nucleotide identity of 84% with the type strain from Japan. Phylogenetic analysis based on the complete genome sequence placed these Korean isolates in a distinct sub-clade of MiSV. The isolates recovered represent a new strain of MiSV and are phylogenetically divergent.Copyright (c) 2025 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Oplopanax elatus is a plant of therapeutic significance in oriental medicine; however, its mass cultivation is limited owing to the difficulties in propagating it from seeds. In this study, we investigated the transcriptome profiles and transcriptional regulatory factors expressed during plantlet regeneration from root tissues of the endangered O. elatus. The RNA-seq results for the control and regenerated plants cultured in liquid medium for 8 weeks showed that the clean length of the control group was 11,901,667,912 and that of the 8-week sample was 10,115,155,171, indicating a clean value of 97

Sorghum is an important cereal with high value as a health food ingredient because it contains various phenolic compounds. Anti-inflammatory activity was assessed using 12 sorghum resources collected from various countries to explore their potential as medicinal resources. The findings revealed that, at extract concentrations of 25 µg/mL and 50 µg/mL, cell survival rates were observed to be between 70 and 80% for most varieties, with the exception of K159081. In the analysis of anti-inflammatory activity, measured by the rate of nitric oxide (NO) production, sorghum varieties K159041 and K159081 exhibited NO production rates of 0.46 ± 0.38% and 2.58 ± 0.20%, respectively, indicating significant anti-inflammatory properties. The investigation into anti-inflammatory effects also included examining the expression of the inducible nitric oxide synthase (iNOS) gene, which is related to the inflammatory response triggered by LPS in macrophages. Varieties K159041, K159048, K159077, K159078, K159081, K159089, and K159096 were analyzed for this purpose. Further, an expression test of the cyclooxygenase 2 (COX-2) gene revealed values less than 0.4 in K159077, K159081, and K159089, suggesting these sorghum lines possess higher anti-inflammatory activity compared to others. Additionally, the expression analysis of tumor necrosis factor alpha (TNF-α), a gene identified as an inflammatory cytokine, showed that the mRNA levels in the lines K159048, K159077, K159078, K159088, K159089, K159093, and K159096 were expressed at lower levels relative to other sorghum resources, categorizing them as having high anti-inflammatory activity. Notably, the K159081 line exhibited the lowest expression level of all genes associated with inflammation, marking it as a valuable medicinal resource with potential development as an anti-inflammatory agent.

Miscanthus is a genus of perennial grasses native to East Asia that shows promise as a biofuel energy source. Breeding efforts for increasing biofuel capability in this genus have focused on two species, namely M. sinensis (Msi) and M. sacchariflorus (Msa). For these efforts to succeed, it is critical that both Msi and Msa, as well as their interspecific crosses, can be grown at a wide range of latitudes. Therefore, the purpose of this study was to investigate how well existing data from Msi and Msa trials grown at locations throughout the northern hemisphere can train state-of-the-art genomic selection (GS) models to predict genomic estimated breeding values (GEBVs) of dry yield for untested Msi and Msa accessions in untested environments. We found that accounting for genotype by environment interaction in the GS model did not notably improve predictive ability. Additionally, we observed that locations at lower latitudes showed higher predictive ability relative to locations at higher latitudes. These results suggest that it is crucial to increase the number of trial locations at higher latitude locations to investigate the source of this correlation. This will make it possible to train GS models using data from environments that are similar to growing conditions at the locations targeted by Msi and Msa breeders. Such an increase of trial locations in target environments could pave the way toward advancing breeding efforts for overwintering ability in Msi and Msa, and ultimately support the potential of Miscanthus as a biofuel crop.

Abstract Accelerating biomass improvement is a major goal of Miscanthus breeding. The development and implementation of genomic‐enabled breeding tools, like marker‐assisted selection (MAS) and genomic selection, has the potential to improve the efficiency of Miscanthus breeding. The present study conducted genome‐wide association (GWA) and genomic prediction of biomass yield and 14 yield‐components traits in Miscanthus sacchariflorus. We evaluated a diversity panel with 590 accessions of M. sacchariflorus grown across 4 years in one subtropical and three temperate locations and genotyped with 268,109 single‐nucleotide polymorphisms (SNPs). The GWA study identified a total of 835 significant SNPs and 674 candidate genes across all traits and locations. Of the significant SNPs identified, 280 were localized in mapped quantitative trait loci intervals and proximal to SNPs identified for similar traits in previously reported Miscanthus studies, providing additional support for the importance of these genomic regions for biomass yield. Our study gave insights into the genetic basis for yield‐component traits in M. sacchariflorus that may facilitate marker‐assisted breeding for biomass yield. Genomic prediction accuracy for the yield‐related traits ranged from 0.15 to 0.52 across all locations and genetic groups. Prediction accuracies within the six genetic groupings of M. sacchariflorus were limited due to low sample sizes. Nevertheless, the Korea/NE China/Russia (N = 237) genetic group had the highest prediction accuracy of all genetic groups (ranging 0.26–0.71), suggesting that with adequate sample sizes, there is strong potential for genomic selection within the genetic groupings of M. sacchariflorus. This study indicated that MAS and genomic prediction will likely be beneficial for conducting population‐improvement of M. sacchariflorus.

The current study evaluated the presence and concentration of health-promoting phenolic antioxidants in sorghum seed accessions from seven regions in three different countries (Uzbekistan, Myanmar, and the United States).The free radical scavenging activity using the 2,2-diphenyl-1-picrylhydrazyl assay was 13.10±2.37μg/mL in the Uzbekistan sorghum seed extracts, demonstrating the highest antioxidant activity.Additionally, the total phenol content was the highest in the Uzbekistan sorghum seed extracts [157.87±4.04mg GAE/g (gallic acid equivalents per gram)].The total flavonoid content was 12.69±0.72mg QE/g (quercetin equivalents per gram) and represents the highest value in the Myanmar collection.The Uzbekistan collection demonstrated the greatest potential for whitening activity, with the tyrosinase inhibition rate of 79.20±4.15%.The wrinkle improvement function using elastase also showed the highest anti-aging activity of 55.85±4.78% in the same seed extract.The Uzbekistan seed extract had the highest NO production inhibitory activity of 144.35±4.55%.We conclude from these results that the Uzbekistan sorghum seed has excellent antioxidant activity, content of various functional ingredients, and anti-inflammatory activity.

Discovery and analysis of genetic variants underlying agriculturally important traits are key to molecular breeding of crops. Reduced representation approaches have provided cost-efficient genotyping using next-generation sequencing. However, accurate genotype calling from next-generation sequencing data is challenging, particularly in polyploid species due to their genome complexity. Recently developed Bayesian statistical methods implemented in available software packages, polyRAD, EBG, and updog, incorporate error rates and population parameters to accurately estimate allelic dosage across any ploidy. We used empirical and simulated data to evaluate the three Bayesian algorithms and demonstrated their impact on the power of genome-wide association study (GWAS) analysis and the accuracy of genomic prediction. We further incorporated uncertainty in allelic dosage estimation by testing continuous genotype calls and comparing their performance to discrete genotypes in GWAS and genomic prediction. We tested the genotype-calling methods using data from two autotetraploid species, Miscanthus sacchariflorus and Vaccinium corymbosum, and performed GWAS and genomic prediction. In the empirical study, the tested Bayesian genotype-calling algorithms differed in their downstream effects on GWAS and genomic prediction, with some showing advantages over others. Through subsequent simulation studies, we observed that at low read depth, polyRAD was advantageous in its effect on GWAS power and limit of false positives. Additionally, we found that continuous genotypes increased the accuracy of genomic prediction, by reducing genotyping error, particularly at low sequencing depth. Our results indicate that by using the Bayesian algorithm implemented in polyRAD and continuous genotypes, we can accurately and cost-efficiently implement GWAS and genomic prediction in polyploid crops.

Abstract Miscanthus is a high‐yielding bioenergy crop that is broadly adapted to temperate and tropical environments. Commercial cultivation of Miscanthus is predominantly limited to a single sterile triploid clone of Miscanthus × giganteus, a hybrid between Miscanthus sacchariflorus and M. sinensis. To expand the genetic base of M. × giganteus, the substantial diversity within its progenitor species should be used for cultivar improvement and diversification. Here, we phenotyped a diversity panel of 605 M. sacchariflorus from six previously described genetic groups and 27 M. × giganteus genotypes for dry biomass yield and 16 yield‐component traits, in field trials grown over 3 years at one subtropical location (Zhuji, China) and four temperate locations (Foulum, Denmark; Sapporo, Japan; Urbana, Illinois; and Chuncheon, South Korea). There was considerable diversity in yield and yield‐component traits among and within genetic groups of M. sacchariflorus, and across the five locations. Biomass yield of M. sacchariflorus ranged from 0.003 to 34.0 Mg ha−1 in year 3. Variation among the genetic groups was typically greater than within, so selection of genetic group should be an important first step for breeding with M. sacchariflorus. The Yangtze 2x genetic group (=ssp. lutarioriparius) of M. sacchariflorus had the tallest and thickest culms at all locations tested. Notably, the Yangtze 2x genetic group's exceptional culm length and yield potential were driven primarily by a large number of nodes (>29 nodes culm−1 average over all locations), which was consistent with the especially late flowering of this group. The S Japan 4x, the N China/Korea/Russia 4x, and the N China 2x genetic groups were also promising genetic resources for biomass yield, culm length, and culm thickness, especially for temperate environments. Culm length was the best indicator of yield potential in M. sacchariflorus. These results will inform breeders' selection of M. sacchariflorus genotypes for population improvement and adaptation to target production environments.

Different bone-related diseases are mostly caused by the disruption of bone formation and bone resorption, including osteoporosis. Traditional medicinal literature has reported the possible anti-osteoporotic properties of Glehnia littoralis. However, the chemical compounds in extracts that are responsible for bone metabolism are poorly understood. The present study aimed to explore and compare the coumarin-based compounds present in G. littoralis extracts, the antioxidant activities, and the anti-osteoporotic properties of different extracts of G. littoralis (leaf and stem, fruit, whole plant, and root extracts) on bone metabolism. This study analyzed G. littoralis extract effects on the proliferation and osteoblastic differentiation of MC3T3-E1 osteoblasts. Among the different tested samples, stem extracts had the highest scopoletin (53.0 mg/g), and umbelliferone (1.60 mg/g). The significantly (p < 0.05) highest amounts of imperatorin (31.9 mg/g) and phellopterin (2.3 mg/g), were observed in fruit and whole plant extracts, respectively. Furthermore, the results confirmed alkaline phosphatase activity, collagen synthesis, mineralization, osteocalcin content, and osterix and RUNX2 expression. G. littoralis extracts at concentrations greater than 20 µg/mL had particularly adverse effects on MC3T3-E1 cell viability and proliferation. Notably, cell proliferation was significantly elevated at lower G. littoralis concentrations. Comparatively, 0.5 µg/mL stem had a higher osteocalcin content. Of the four extract types, stem showed a higher collagen synthesis effect at concentrations of 0.5–5 µg/mL. Except for fruit extracts, G. littoralis extract treatment significantly elevated osterix gene expression. All G. littoralis extracts increased RUNX2 gene expression. The results described here indicate that G. littoralis ethanolic extracts can effectively prevent osteoporosis.

The interaction between polyamine content and antioxidant activity in plants can confer resistance to environmental stress. In this study, polyamines and antioxidant activities in T 2 -generation transgenic plants overexpressing the MsSAMS ( Miscanthus sinensis S-adenosylmethionine synthetase) gene were studied. First, the results of plant length, leaf length, leaf width, leaf number, stem diameter, and chlorophyll content in the T 2 -generation transgenic plants into which the MsSAMS gene was inserted showed that there were only slight differences in the agricultural phenotype, and no significant difference was observed. Result of the analyses of polyamine-based components: putrescine, spermidine, and spermine showed that there was no detectable amount of putrescine in the control group, whereas in the T6 line, it was 399.14 ± 15.46 μg/g FW. Spermidine level was 1497.16 ± 53.28 μg/g FW and 146.97 ± 12.58 μg/g FW in the T17 and T9 lines of transgenic plants, respectively. Furthermore, free radical scavenging activity was measured using DPPH (2,2-diphenyl-1-picrylhydrazyl) and ABTS [2,2′-azino-bis(3-ethylbenz-thiazoline-6-sulfonic acid)] assays. T17 line showed the highest antioxidant activity (1974.85 ± 18.06 μg/mL) in DPPH assay, whereas T6 line showed the highest activity (7390.12 ± 67.39 μg/mL) in ABTS assay. Results of the analysis of the total phenol and flavonoid content of the transgenic plants revealed that the T6 line and T2 line showed the highest values, respectively (208.20 ± 3.36 mg GAE/g and 22.07 ± 0.49 mg QE/g, respectively). These results suggest that the MsSAMS gene plays a role in enhancing antioxidant activity by increasing polyamine content.

An artificial light source is the optimal element for studying the usability of the medicinal plant Astragalus membranaceus as a sprout vegetable. Based on artificial light source conditions, formononetin (FO) level was the highest (2.6 mg/L) in A. membranaceus exposed to white light emitting diode (LED) light, and calycosin (CA) level was the highest (3.09 mg/L) in the plant exposed to red LED light. According to the publicly available transcriptome data of LED-exposed sprout A. membranaceus LED, reference genes related to the content enhancement of FO, an isoflavone compound, and those related to the content enhancement of CA were selected. The expression patterns of these genes were assayed using qPCR. Among the genes related to FO enhancement, Gene-225190T showed the highest mRNA levels in cells of LED-white light-exposed sprout A. membranaceus; among the genes related to CA enhancement, Gene_042770T showed the highest expression under red LED light. Most genes related to the overall biosynthesis regulation of flavonoids of the upper concept of isoflavone were highly expressed in response to red LED light, and the transcriptional level of 4CL in response to red LED light was the highest. Based on these results, the artificial light sources that regulated the FO and CA contents in sprouts A. membranaceus were white and red LED lights, and the selected reference genes were capable of regulating isoflavone biosynthesis.

Astragalus membranaceus, the major components of which are saponins, flavonoids, and polysaccharides, has been established to have excellent pharmacological activity. After ginseng, it is the second most used medicinal plant. To examine the utility of A. membranaceus as a sprout crop for plant factory cultivation, we sought to establish a functional substance control model by comparing the transcriptomes of sprouts grown in sterile, in vitro culture using LED light sources. Having sown the seeds of A. membranaceus, these were exposed to white LED light (continuous spectrum), red LED light (632 nm, 1.58 μmol/m2/s), or blue LED light (465 nm, 1.44 μmol/m2/s) and grown for 6 weeks; after which, the samples were collected for transcriptome analysis. Scanning electron microscopy analysis of cell morphology in plants exposed to the three light sources revealed that leaf cell size was largest in those plants exposed to red light, where the thickest stem was observed in plants exposed to white light. The total number of genes in A. membranaceus spouts determined via de novo assembly was 45,667. Analysis of differentially expressed genes revealed that for the comparisons of blue LED vs. red LED, blue LED vs. white LED, and red LED vs. white LED, the numbers of upregulated genes were 132, 148, and 144, respectively. Binding, DNA integration, transport, phosphorylation, DNA biosynthetic process, membrane, and plant-type secondary cell wall biogenesis were the most enriched in the comparative analysis of blue LED vs. red LED, whereas Binding, RNA-templated DNA biosynthetic process, DNA metabolic process, and DNA integration were the most enriched in the comparative analysis of blue vs. white LED, and DNA integration and resolution of meiotic recombination intermediates were the most enrichment in the comparison between red LED vs. white LED. The GO term associated with flavonoid biosynthesis, implying the functionality of A. membranaceus, was the flavonoid biosynthetic process, which was enriched in the white LED vs. red LED comparison. The findings of this study thus indicate that different LED light sources can differentially influence the transcriptome expression pattern of A. membranaceus sprouts, which can provide a basis for establishing a flavonoid biosynthesis regulation model and thus, the cultivation of high-functional Astragalus sprouts.

Miscanthus, is a promising bioenergy crop, considered superior to other bioenergy crops because of its higher water and nutrient use efficiency, cold tolerance, and higher production of biomass. Broadleaf weeds and grass weeds, cause major problems in the Miscanthus field. A field experiment was conducted in 2018 and 2019, to assess the effects of pre-emergence (alachlor and napropamide) and post-emergence herbicides (nicosulfuron, dicamba, bentazon, and glufosinate ammonium) on broadleaf and grass weeds in M. sinensis and M. sacchariflorus fields. The weed control efficiency and phytotoxicity of pre- and post-emergence herbicides were evaluated at 30 days after treatment (DAT) and compared to those of the control plots. The results showed wide variations in the susceptibility of the weed species to the treated herbicides. Treatment with nicosulfuron 40 g.a.i.ha−1 provided the most effective overall weed control (with 10% visual injury), without affecting the height and biomass of neither Miscanthus species in the field. Post-emergence herbicides such as glufosinate ammonium 400 g.a.i.ha−1 and dicamba 482 g.a.i.ha−1 were effective and inhibited the growth and density of the majority of weeds to a 100%; however, they showed significant phytotoxicity (toxicity scale of 1–10) to both species of Miscanthus. The application of glufosinate ammonium caused severe injuries to the foliar region (90% visual injury) of both Miscanthus sps. Comparatively, M. sinensis showed a slightly higher tolerance to the herbicides nicosulfuron, bentazon and napropamide with 10% visual injury at the recommended dose than M. sacchariflorus. The present study clearly showed that infestation of broadleaf and grass weeds in Miscanthus fields can cause significant damage to the growth and biomass of Miscanthus and applying pre-emergence and post-emergence herbicides effectively controls the high infestation of these weeds.

Genetic transformation has emerged as an important tool for the genetic improvement of valuable plants by incorporating new genes with desirable traits. These strategies are useful especially in crops to increase yields, disease resistance, tolerance to environmental stress (cold, heat, drought, salinity, herbicides, and insects) and increase biomass and medicinal values of plants. The production of healthy plants with more desirable products and yields can contribute to sustainable development goals. The introduction of genetically modified food into the market has raised potential risks. A proper assessment of their impact on the environment and biosafety is an important step before their commercialization. In this paper, we summarize and discuss the risks and benefits of genetically modified plants and products, human health hazards by genetically transformed plants, environmental effects, Biosafety regulations of GMO foods and products, and improvement of medicinal values of plants by the genetic transformation process. The mechanisms of action of those products, their sources, and their applications to the healthcare challenges are presented. The present studies pointed out the existence of several controversies in the use of GMOs, mainly related to the human health, nutritions, environmental issues. Willingness to accept genetically modified (GM) products and the adoption of biosafety regulations varies from country to country. Knowledge about the gene engineering technology, debate between the government agencies, scientist, environmentalist and related NGOs on the GM products are the major factors for low adoptions of biosafety regulation. Therefore, the genetic transformation will help in the advancement of plant species in the future; however, more research and detailed studies are required.

Functionality based on the biological activity of sorghum such as antioxidant activity is known worldwide for its excellence. In this study, we investigated the reactive oxygen species (ROS) scavenging activity, total phenolic and flavonoid contents, phenol compounds, and changes in antioxidant gene expression in sorghum seed cells collected from five countries (Australia, former Soviet Union, USA, Sudan, and Guadeloupe). Sorghum seeds were obtained from 12 genetic resources (K159041, K159042, K159078, K159081, K159088, K159089, K159093, K159097, K159100, K159096, K159048, and K159077). ROS scavenging activity was analyzed using 1,1-diphenyl-2-picrylhydrazyl (DPPH) and 2,20-azinobis 3-ethylbenzothiazoline-6-sulfonate (ABTS). K159097 showed high antioxidant activity values of 33.52 ± 0.70 μg/mL (DPPH) and 271.06 ± 13.41 μg/mL (ABTS), respectively. The reducing power of the resources improved in a concentration-dependent manner, and 10 sorghum resources, except K159078 and K159048, showed high reducing power. K159042 had the highest total phenol content (231 ± 2.17 mg·GAE/g), and K159081 had the highest total flavonoid content (67.71 ± 5.38 mg·QE/g). Among the six phenolic compounds (protocatechuic acid, caffeic acid, p-coumaric acid, ferulic acid, taxifolin, and naringenin) analyzed, the compound with the highest content was taxifolin (203.67 ± 4.99 mg/L in K159093). K159041, K159042, and K159048 had the highest expression levels of superoxide dismutase (SOD), ascorbate peroxidase 1 (APX1), and catalase (CAT), which are indicators of antioxidant activity. An evaluation of the diversity of sorghum provided useful information on antioxidant activity, physicochemical content, and antioxidant gene expression in seed cells, suggesting that sorghum can be used as a biomaterial from natural resources.

Analysis of the genetic diversity of Miscanthus, a representative crop associated with bioenergy, is necessary for the enhancement of Miscanthus biomass production, an important and challenging research prospect. This study was conducted to determine the genetic diversity of Miscanthus accessions, with regard to geographical location. Inter-simple sequence repeat (ISSR) and random amplified polymorphic DNA (RAPD) markers were used to assess the relationships among, and genetic diversity of, 24 Miscanthus accessions collected from the USA and China. These 24 Miscanthus accessions were all shown to be diploid by flow cytometry. Using 30 selected ISSR primers, a total of 96 amplified products were produced, with a mean of 11 products per primer, and the polymorphism percentage was 70%. Using 11 primers, the RAPD method produced 194 amplified products, and the polymorphism percentage was 83% in all accessions. The genetic distance was 0.36–0.71, according to Jaccard’s coefficient for combined ISSR and RAPD data. The 24 Miscanthus accessions were classified into two groups (USA and China) through UPGMA clustering analysis. This classification revealed significant genetic diversity among Miscanthus accessions according to geographical location. Future efforts to analyze genetic diversity will facilitate the improvement of biomass characteristics in other grasses undergoing development as energy crops.