Peisheng Mao’s research while affiliated with China Agricultural University and other places

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Publications (89)


Chromosomal distribution of the MsFIM genes and phylogenetic analysis of FIM proteins. A Chromosomal location of the MsFIM genes. B Phylogenetic relationships of FIM proteins from M. sativa, M. truncatula, Arabidopsis, Z. mays, G. max and O. sativa. Red stars indicate MsFIM proteins, blue circles represent MtFIM proteins, peru circles represent AtFIM proteins, deepskyblue circles represent OsFIM proteins, lime circles represent GmFIM proteins, and pink circles represent ZmFIM proteins
Phylogenetic tree, conserved motif, and gene structure analysis of the MsFIM gene family. A The phylogenetic tree of six MsFIM proteins was constructed using MEGA11 with the neighbor-joining (NJ) method. The conserved motifs of MsFIM proteins were analyzed using the MEME tool. Ten conserved motifs are depicted using distinct colors. The scale bar indicates the length of the protein. B Conserved domain analysis of MsFIM proteins, with different colors denote distinct conserved regions. C Gene structure identification of MsFIM genes, where yellow denotes coding DNA sequence (CDS) and green represents untranslated regions (UTR). All results were visualized using TBtools
The MsFIM gene family undergoes segmental duplication events within the M. sativa genome, with red lines and red-colored genes highlighting the segmentally duplicated genes
Syntenic analysis of MsFIM genes in M. sativa compared with those in five plant species (A. thaliana, M. truncatula, G. max, O. sativa and Z. mays)
Sequence alignment of FIM proteins from alfalfa and Arabidopsis, and identical or similar residues were shaded as colors

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Genome-wide characterization and expression profiling of FIMBRIN gene family members in response to abiotic stress in Medicago sativa
  • Article
  • Full-text available

May 2025

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45 Reads

BMC Plant Biology

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Xinru Su

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[...]

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Peisheng Mao

Background Alfalfa is widely regarded as one of the most important forage crops globally. However, its growth and development are primarily constrained by various abiotic stresses. FIMBRINs are crucial actin-binding proteins involved in regulating cellular dynamics in plants under various stress conditions and during developmental processes. The Fimbrin (FIM) gene family has been reported only in Arabidopsis, while a comprehensive identification of the FIM gene family in alfalfa and the responses of its members to abiotic stresses remain unclear. Results In this study, six MsFIM genes were identified in the alfalfa genome, distributed across three chromosomes. Phylogenetic analysis grouped these genes into four clades, all containing the conserved CH domain. Gene duplication events suggested that large fragment duplications contribute to gene amplification. Furthermore, cis-regulatory element analysis highlighted their pivotal roles in plant development and response to external abiotic stresses. RT-qPCR analyses revealed that the MsFIM genes exhibited differential expression across various tissues, with predominant expression in flowers, stems, and leaves. The MsFIM genes showed elevated expression under abiotic stresses (drought, cold, and salt) as well as hormone treatment (abscisic acid, ABA), suggesting that they served as positive regulators in alfalfa’s resistance to abiotic stresses and its growth and development. Conclusions This study investigates the MsFIM genes in alfalfa, further analyzing their potential roles in plant development and response to abiotic stresses. These findings will provide novel insights into the molecular mechanisms of alfalfa's stress response.

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Fig. 3. KEGG pathway enrichment analysis for SG (A) and IG (B), and variation patterns of differential metabolite contents linked to glutamate and asparagine metabolism (C).
Fig. 6. Gene expression pattern of the black, pink, red, and turquoise module
Fig. 8. Effects of aging treatment on seed germination in Arabidopsis plants overexpressing BiGli1 and BiGli2 genes.
(A, D) Images of seed germination on day 7 for aged Arabidopsis seeds overexpressing BiGli1 (A) and BiGli2 (D). (B, E) Germination percentages of aged Arabidopsis seeds overexpressing BiGli1 (B) and BiGli2 (E). (C, F) Seedling fresh weights of aged Arabidopsis seeds overexpressing BiGli1 (C) and BiGli2 (F). Note: An asterisk (*) denotes a significant difference compared to the wild-type Columbia (Col) at the P<0.05 level.
Fig. 10. Model description of nitrogen application enhancing seed vigor(Created in  https://BioRender.com).
Integrated multi-omics analysis reveals the role of nitrogen application in seed storage protein metabolism and improvement of inferior grains in smooth bromegrass

April 2025

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20 Reads

Abstract: This study explores the effects of nitrogen application on superior and inferior grains in smooth bromegrass (Bromus inermis). A randomized block design with two nitrogen treatments (0 and 200 kg·N·ha⁻1) during the 2021-2022 growing seasons. Seed dry weight, fresh weight, and storage protein content were measured at multiple stages after anthesis. PacBio full-length transcriptome sequencing generated a comprehensive transcriptome consisting of 124,425 high-quality transcripts, and metabolomic profiling was performed across developmental stages. The results showed that nitrogen application significantly increased both dry and fresh weights, as well as storage protein content, particularly gliadin and glutelin. Notably, nitrogen treatment upregulated glutamate and asparagine levels in both superior and inferior grains. Transcriptomic analysis revealed enhanced nitrogen transport and protein synthesis pathways. Additionally, two α-gliadin genes, BiGli1 and BiGli2, were identified in inferior grains as nitrogen-responsive. Genetic transformation studies in Arabidopsis confirmed that these genes regulate seed size and vigor, improving seed performance by reducing mean germination time under aging conditions. This study highlights the critical role of α-gliadin in enhancing seed quality, particularly in promoting the development of inferior grains, offering valuable insights for the development of high-yield seed varieties and the optimization of specialized forage seed production. Keywords: α-gliadin, nitrogen application, seed vigor, superior and inferior grains, storage protein, Smooth bromegrass, Multi-omics


Fig. 1 Mitochondrial Genome Assembly of A. sativa.
Fig. 2 Schematic diagram of the structure and gene distribution of the A. sativa mitogenome.
Fig. 4 RSCU Values for the mitochondrial genome of A. sativa.
Fig. 11 Mitochondrial gene expression profiling during the imbibition of seeds with varying vigor
Assembly and comparative analysis of the first complete mitochondrial genome of hexaploid oat (Avena sativa L.) with OXPHOS gene expression profiling in seed germination

April 2025

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15 Reads

Abstract: The common oat (Avena sativa L.) is a globally important hexaploid cereal crop with a large and complex genome, yet its mitochondrial genome has remained unresolved. Here, we report the first complete assembly and comprehensive analysis of the A. sativa mitogenome, which comprises two circular chromosomes totaling 634,262 bp with a GC content of 44.11%. The mitogenome encodes 78 genes, including 37 protein-coding genes, 27 tRNAs, 12 rRNAs, and 2 pseudogenes. Extensive repeat sequences were identified, providing a basis for mitochondrial genome recombination and structural diversity. Codon usage analysis revealed a strong AT bias and distinct codon preferences, while Ka/Ks analysis indicated predominant purifying selection on core OXPHOS genes, with possible signals of positive selection in mttB and nad7. A total of 463 RNA editing sites were predicted, predominantly enhancing protein hydrophobicity and potentially optimizing mitochondrial function. Comparative analyses revealed high collinearity with diploid oat (Avena longiglumis) and frequent chloroplast-to-mitochondrion DNA transfers, highlighting dynamic organellar genome evolution in Poaceae. Phylogenetic reconstruction based on 32 conserved mitochondrial genes robustly resolved relationships within Poaceae and its relatives. Transcriptomic profiling during seed germination demonstrated rapid upregulation of mitochondrial oxidative phosphorylation (OXPHOS) genes during early imbibition, with aged seeds showing even higher expression levels, suggesting compensatory responses to compromised mitochondrial function. This study provides the first complete mitogenome of hexaploid oat, offering valuable insights into mitochondrial genome structure, evolution, and OXPHOS gene expression dynamics, and serves as an important resource for future functional genomics and molecular breeding in oat and related crops. Key words: Avena sativa, mitochondrial genome, RNA editing, OXPHOS, seed germination.


Comparative physiological and transcriptomic analyses of zoysiagrass (Zoysia japonica) species reveal key metabolic pathways for salt tolerance

April 2025

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8 Reads

Grass research

Soil salinity is a significant environmental challenge that adversely affects plant yield and quality. Zoysiagrass (Zoysia japonica), a member of the Gramineae family, is highly salt-tolerant, making it an excellent model for studying salt stress response mechanisms. We performed physiological and transcriptomic analyses on two contrasting Zoysiagrass germplasm accessions under high salt conditions. The salt-tolerant germplasm ST68 demonstrated superior growth phenotypes, higher chlorophyll and relative water content, greater photochemical efficiency, and lower relative electrolyte leakage and sodium ion content compared to the salt-sensitive germplasm SS9. Transcriptomic analysis revealed differential expression in pathways involved in photosynthesis, flavonoid biosynthesis, cell wall macromolecule catabolism, phosphate ion homeostasis, and reactive oxygen species response in the tolerant vs the sensitive line under salt stress. Notably, the ZjHEMA gene, which encodes glutamyl-tRNA reductase, a rate-limiting enzyme in chlorophyll biosynthesis, was identified as a key regulator due to its significant upregulation under salt stress in the salt-tolerant germplasm, compared to the sensitive one. Overexpression of the salt-responsive glutamyl-tRNA reductase gene, associated with chlorophyll metabolism in Zoysiagrass, in Arabidopsis led to increased salt tolerance, as evidenced by elevated chlorophyll content, relative water content, and photochemical efficiency compared to wild-type plants. Our findings offer new insights into the mechanisms of salt tolerance in Zoysiagrass, laying a foundation for breeding salt-tolerant germplasm.


Ascorbic acid priming restores the seed vigor by enhancing the mitochondrial AsA‐GSH cycle and related gene expression in the aged oat seeds

April 2025

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31 Reads

Seed priming is an effective way to activate defense mechanisms before germination, enhancing seed vigor and stress resistance. Ascorbic acid (AsA) is an important signaling molecule that plays a crucial role in balancing cellular reactive oxygen species. However, whether AsA priming can enhance seed vigor in oat (Avena sativa) and the underlying mechanisms remain unclear. This study primed aged seeds (controlled deterioration at 45°C for 5 days) with 1.5 mM AsA for 24 h. Primed seeds were then sampled after 36 h of imbibition for seed assays. Significant increases in germination percentage, vigor index, shoot and root length, coupled with a significant reduction in mean germination time, demonstrated that AsA priming effectively restored seed vigor. Ultrastructural observations of mitochondria isolated from embryos presented that AsA priming repaired structural damage in aged seeds, with intact double membranes and clear internal cristae observed. Excessive H2O2 accumulation was discovered in mitochondria of aged seeds, while AsA priming reduced H2O2 levels by increasing the activities of CAT, GR, MDHAR and DHAR. AsA priming also increased antioxidant content, particularly DHA, contributing to reduced oxidative stress. Furthermore, transcriptomic analysis highlighted the upregulation of genes associated with antioxidant defense, including APX, CAT, DHAR and MDHAR, indicating enhanced repair and protection pathways in the mitochondrial AsA‐GSH cycle. This suggests that AsA priming would increase the activity of antioxidant enzymes, the content of antioxidants, and expression of genes related to AsA‐GSH cycle in aged oat seeds, which was conducive to repairing mitochondrial damage and enhancing seed vigor.


A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass

March 2025

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34 Reads

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1 Citation

Plant Methods

Smooth bromegrass (Bromus inermis) was adopted as experiment materials for identifying the seed maturity using a combination of multispectral imaging and machine learning. The trials were conducted to investigate the effects of three nitrogen application levels (0, 100 and 200 kg N ha− 1, defined as CK, N1 and N2 respectively) and two spikelet grain positions: superior grain (SG) at the basal position and inferior grain (IG) at the upper position, on smooth bromegrass seeds. The germination characteristics of the seeds revealed that the variations in nitrogen application and grain positions significantly influenced seeds vigor. The seed vigor of increased gradually with their maturity, reaching a high level at 30 and 36 days after anthesis. A stacking ensemble learning approach was employed to identify the seed maturity based on multispectral imaging and autofluorescence imaging. The results demonstrated that the Ensemble model outperformed Support Vector Machine, Bayesian, XGBoost and Random Forest across all evaluated metrics in different scenarios. The model accuracy in CK, N1 and N2 were 89%, 87% and 93%, respectively. Furthermore, the SHapley Additive exPlanations method was selected to interpret the Ensemble model, identifying important features such as 405, 430, 540, 630, 645, 690, 850, 880 and 970 nm. These features exhibited a significant correlation with fresh weight, shoot length and vigor index. These findings showed the high accuracy and generalizability of the Ensemble model for identifying the maturity and quality of smooth bromegrass seeds. Therefore, a new strategy would be offered for evaluating seed maturity and vigor level. Supplementary Information The online version contains supplementary material available at 10.1186/s13007-025-01359-8.


Lipid remodeling and response mechanisms during the germination of aged oat seeds

February 2025

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22 Reads

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1 Citation

BMC Plant Biology

Background The high fat content in oat seeds makes them susceptible to aging during storage, leading to reduced seed vigor, delayed germination, and even seed death. Much evidence suggests that lipid remodeling is closely associated with successful seed germination. However, the dynamic behavior and response mechanisms of lipids during the germination of aged oat seeds remain unclear. In this study, ‘Monida’ (aging-tolerant) and ‘Haywire’ (aging-sensitive), were used to investigate the lipid profiles in the embryo and endosperm and the dynamic transcriptomic differences in the embryo during the germination. Results The results demonstrate that phospholipid alterations during the germination of aged seeds are more significant compared to unaged seeds, indicating that aging affects lipid remodeling during germination, particularly in the ‘Haywire’. Further analysis revealed that the most critical lipid response events occurred at the end of germination stage II (32 h) in embryo, primarily regulated through the PLC-DGK pathway to modulate phospholipid and glycerolipid molecules. Specifically, transcripts of PLC, DGK, and DGAT were upregulated, promoting the generation of diacylglycerol (DG) from various phospholipids, which further increased the monogalactosyldiacylglycerol/digalactosyldiacylglycerol (MGDG/DGDG) ratio, thereby influencing membrane repair. Additionally, at 6 h of germination in aged seeds, PC(3:0/0:0) levels significantly decreased. Compared to ‘Monida,’ the aging-sensitive ‘Haywire’ seeds exhibited substantial production of PE(19:0/0:0) and PC(15:0/0:0) at 32 h of germination, which may be key factors contributing to the seed's sensitivity to aging and the significant reduction in germination percentage after aging. Therefore, PC(3:0/0:0), PE(19:0/0:0), and PC(15:0/0:0) could serve as important lipid metabolic markers in future studies on the mechanisms of oat seed vigor. Conclusions The findings of this study provide insights into the specificity of lipid remodeling and its response mechanisms during the germination of aged oat seeds, providing a theoretical foundation for the safe preservation of oat germplasm and the development of aging-tolerant varieties.


Fig. 2. Spectral reflectance characteristics of seeds subjected to various priming treatments. (a) 350
Fig. 3. LDA of combined multispectral and autofluorescence data revealed distinct 400
Fig. 6. SHAP dependency plots showing the contribution relationships of key
Integration of Multispectral Imaging and Explainable AI for Alfalfa Seed Priming Optimization Under Saline-Alkali Stress

February 2025

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44 Reads

Soil salinization poses an increasingly severe threat to sustainable agriculture globally, 13 while conventional seed priming optimization remains time-and resource-intensive, 14 limiting its practical implementation. This study developed an innovative smart seed 15 priming framework that seamlessly combined multispectral imaging technology with 16 explainable machine learning algorithms to optimize alfalfa seed priming under 17 saline-alkali stress (75 mM Na₂SO₄). Through systematic evaluation of six distinct 18 priming agents (gamma-aminobutyric acid (GABA), ascorbic acid (AsA), melatonin 19 (MT), salicylic acid (SA), spermidine (Spd), and sodium sulfate (Na₂SO₄)), our 20 sophisticated stacking ensemble model demonstrated exceptional performance in both 21 priming parameter classification (accuracy: 0.812-0.920, ROC-AUC: 0.941-0.994) 22 and effect prediction (accuracy: 0.820-0.950, ROC-AUC: 0.928-0.960). 23 Comprehensive SHapley Additive exPlanations (SHAP) analysis identified critical 24 spectral features across multiple analytical scales: the parameter model highlighted 25 wavelengths at 570 nm and 970 nm as key indicators of moisture content and 26 flavonoid compositional changes; for priming effects assessment, wavelengths at 850 27 nm (associated with storage materials) and 490 nm exhibited significant negative 28 synergistic effects specifically on MT priming "first" category; detailed individual 29 seed analysis revealed complex nonlinear relationships between priming agent 30 concentration, treatment duration, and corresponding spectral variations. The 31 developed smart seed priming framework enabled rapid and efficient non-destructive 32 optimization of seed priming, significantly accelerating priming technology 33 development processes and advancing sustainable agricultural practices by providing 34 personalized priming solutions under various stress conditions, particularly in regions 35 affected by soil salinization. 36


Fig. 1 Technology route
Fig. 2 PCA of seed germination characteristics for different treatment.
Fig. 5 nCDA images of seeds with different treatment.
A novel approach with integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass

January 2025

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16 Reads

Abstract: Smooth bromegrass (Bromus inermis) was adopted as experiment materials for identifying the seed maturity using a combination of multispectral imaging and machine learning. The trials were conducted to investigate the effects of three nitrogen application levels (0, 100 and 200 kg N ha-1, defined as CK, N1 and N2 respectively) and two spikelet grain positions (spikelet basal position for SG and spikelet upper position for IG) on smooth bromegrass seeds. The germination characteristics of the seeds revealed that the variations in nitrogen application and grain positions significantly influenced seeds vigor. The seed vigor of increased gradually with their maturity, reaching a high level at 30 and 36 days after anthesis. A stacking ensemble learning approach was employed to identify the seed maturity based on multispectral imaging and autofluorescence imaging. The results demonstrated that the Ensemble model outperformed Support Vector Machine, Bayesian, XGBoost and Random Forest across all evaluated metrics in different scenarios. The model accuracy in CK, N1 and N2 were 89%, 87% and 93%, respectively. Furthermore, the SHapley Additive exPlanations method was selected to interpret the Ensemble model, identifying important features such as 405, 430, 540, 630, 645, 690, 850, 880 and 970 nm. These features exhibited a significant correlation with fresh weight, shoot length and vigor index. These findings showed the high accuracy and generalizability of the Ensemble model for identifying the maturity and quality of smooth bromegrass seeds. Therefore, a new strategy would be offered for evaluating seed maturity and vigor level. Key words: smooth bromegrass; nitrogen; seed maturity; multispectral imaging; stacking ensemble


Dynamic Responses of Germination Characteristics and Antioxidant Systems to Alfalfa (Medicago sativa) Seed Aging Based on Transcriptome

October 2024

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41 Reads

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1 Citation

Plant Physiology and Biochemistry

Seed aging poses a significant challenge to agronomic production and germplasm conservation. Reactive oxygen species (ROS) are highly involved in the aging process. However, dynamic response of germination characteristics and antioxidant system to seed aging are not yet very clear. This study explored the potential physiological mechanisms responsible for the reduced and rapid loss of seed vigor in alfalfa, and identified key genes regulating seed vigor. The germination percentage exhibited a decreased trend with the prolongation of aging duration. From 16 to 32 days of aging, the antioxidant enzyme activities of SOD, POD, CAT, DHAR and MDHAR declined significantly, which lead to the disruption of ROS balance and a significant increase in ROS levels, exacerbating seed aging. Based on transcriptome, 29 differentially expressed genes (DEGs) including SOD1, APX-2 and GST-7 within the ROS scavenging system showed a significantly down-regulated expression trend at aging of 16 and 24 days, indicating the abnormal function of antioxidant metabolism. Furthermore, some related genes including ATPF1B, ATPeF0C-3, NDUFS1, NDUFS3 and ND2 in the mitochondrial ETC exhibited a downturn following seed aging, which would result in the losing of seed vigor. This study has uncovered a significant array of potential target genes within the seed antioxidant system and mitochondrial ETC. These discoveries offer a wider lens for delving into the molecular regulatory mechanisms of seed aging. Further research is crucial to comprehensively elucidate the precise pathways through which these pivotal genes regulate seed vigor.


Citations (63)


... [35,49,50,51] Antioxidant Containing antioxidants such as flavonoids and polyphenols, it can reduce the damage caused by free radicals. [32,52,53] H. Wang et al. Ultrasonics Sonochemistry 113 (2025) ...

Reference:

Ultrasound-assisted extraction and value of active substances in Muxu
Dynamic Responses of Germination Characteristics and Antioxidant Systems to Alfalfa (Medicago sativa) Seed Aging Based on Transcriptome

Plant Physiology and Biochemistry

... The germination and growth of seeds into seedlings are essential for the reproduction and continuation of plant species [1][2][3]. Seeds are the primary propagules utilized in ecological restoration to counteract environmental degradation and species extinction by promoting the regeneration of plant species. Seed morphology could be used to characterize plant genotypes based on phenotype. ...

Rapid prediction and visualization of safe moisture content in alfalfa seeds based on multispectral imaging technology
  • Citing Article
  • August 2024

Industrial Crops and Products

... Differential gene expression analysis was conducted using DESeq, with genes identified as differentially expressed based on a threshold of |Fold Change| ≥ 1.5 and a p-value < 0.05. The DEGs were subsequently annotated for protein function using comprehensive databases such as the Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), Swiss-Prot, and the NCBI non-redundant protein (NR) database [56] . ...

Telomerase reverse transcriptase, a telomere length maintenance protein in alfalfa (Medicago sativa), confers Arabidopsis thaliana seeds aging tolerance via modulation of telomere length

International Journal of Biological Macromolecules

... The photoinhibition of lemmas may be attributed to the fact that glumes cover lemmas, which always receive a low level of light. In addition, lemmas lacks adequate photoprotective mechanisms to cope with high light intensities, such as weaker regulatory abilities via photorespiration and other pathways (Zeng et al., 2024). The photosynthetic characteristics of lemmas are similar to those of shade plants, including stomatal closure and photoinhibition under intense light (Martinez et al., 2003). ...

Photosynthetic performance of glumes of oat spikelets is more stable for grain-filling stage under drought stress
  • Citing Article
  • June 2024

Plant Physiology and Biochemistry

... where PFP is expressed in kg⁻ 1 , Y is the average yield of each treatment in kg ha⁻ 1 , and RF is the fertilizer application rate for N, P, and K in kg ha⁻ 1 . IWUE was calculated as the yield per unit area divided by the irrigation water applied per unit area Jia et al. (2024), as shown in Equation (2): ...

Optimizing drip irrigation managements to improve alfalfa seed yield in semiarid region

Agricultural Water Management

... AI-based innovations seek to reduce human work as much as possible and have the capacity to operate automatically [7]. Moreover, machine learning methods combined with vegetation indices and growth indicators could also be used to predict the seed yield of crops [8]. Integrating optical imaging techniques could also used for the evaluation of seed maturity [9]. ...

Using Machine Learning Methods Combined with Vegetation Indices and Growth Indicators to Predict Seed Yield of Bromus inermis

... As previously reported, nuclear localization spotlights the essential involvement of WRKY genes in various cellular processes like growth, development, and responses to stress by modulating the expression of target genes. 36 ...

Genomic identification and expression profiling of WRKY genes in alfalfa (Medicago sativa) elucidate their responsiveness to seed vigor

BMC Plant Biology

... Seed germination rate, germination potential, and vigor indexes are important indicators of seed viability and cricial metrics for evaluating seed quality 34 . Seed vigor inevitably decreased during storage in studies on crops such as maize, rice, oats, tobacco, and wheat34 [35][36][37][38][39] . Using artificially aged sorghum seeds as materials, the scholar found that seed vigor and germination ability were significantly inhibited by aging. ...

Germination of aged oat seeds associated with changes in antioxidant enzyme activity and storage compounds mobilization

... M. sativa, commonly referred to as the "queen of forage grasses", is a perennial legume prized for its palatability, nutritional content, and high yield [40,41]. Sequencing M. sativa cultivar Zhongmu No. 1 genome [42] enables identifying stress response genes in M. sativa [42][43][44][45]. Transcription factors (TFs) play a crucial role by binding to specific target proteins through their DNA-binding domain (DBD), recognizing a 6-12 bp motif in both promoter-proximal regions and distal enhancers [46]. ...

Genomic Identification and Expression Profiling of Lesion Simulating Disease Genes in Alfalfa (Medicago sativa) Elucidate Their Responsiveness to Seed Vigor

... With the advancement of non-destructive testing techniques, near-infrared spectroscopy (NIR), hyperspectral imaging (HSI), multispectral imaging (MSI), autofluorescence imaging and computer vision technologies have been widely employed for varietal identification [11,12], seed quality assessment [13][14][15][16] and development of seed pelleting formulations [17]. These studies have successfully accomplished seed-related tasks by synergizing with diverse machine learning models. ...

A novel approach using multispectral imaging for rapid development of seed pellet formulations to mitigate drought stress in alfalfa

Computers and Electronics in Agriculture