Search Results (399)

The genus Cucurbita (pumpkin), encompassing C. maxima and C. moschata, is agriculturally and nutritionally significant globally. Herein, we re-sequenced 146 germplasm accessions (51 C. moschata and 95 C. maxima) to characterize genomic variations and identify loci associated with critical traits. Population structure analysis revealed four distinct subgroups: G1 (C. moschata), and G2–G4 (C. maxima), the latter classified by rind color (green, gray, and red, respectively). A genome-wide association study (GWAS) analysis identified 26 loci associated with eight fruit quality traits (e.g., rind color, pulp thickness, starch content) and leaf traits. Selective sweep analyses revealed 18 overlapping signals between the GWAS and selective regions, highlighting convergent evolution in starch content, pulp thickness, and water content driven by artificial and natural selection. We further validated these key fruit quality candidate genes, confirming that starch, cellulose, and pulp trait-related genes exhibited genotype-specific expression consistent with the quality divergence between CMO-X and CMO-E. Notably, C. moschata exhibited higher β-carotene and water content, while C. maxima showed higher starch content, reflecting divergent selection pressures. For leaf traits, 13 loci associated with leaf length were found, including LL9.2/LW9.1 with Cmax09G001045, which regulates leaf size. A novel haplotype in Cmax09G001045 explained the small-leaf phenotype of ‘Cuili 5’. This study provides a comprehensive genomic variation map of C. maxima and C. moschata, clarifies the genetic bases of key agronomic traits, and sheds light on their domestication and selection history, offering valuable resources for molecular breeding and crop improvement. Full article

Blueberry production has rapidly expanded over the past decade, accompanied by growing demand for efficient and accurate methods to monitor the flowering and fruiting phases of blueberry development, which has a direct impact on yield potential. Accurate determination of blueberry phenology enables growers to make data-driven decisions on freeze protection applications and harvest windows. In addition, objective phenology data of blueberry mapping populations will provide high-quality phenotype data for the discovery of genetic mechanisms regulating blueberry flowering and fruiting times. Traditional approaches, such as manual counting and visual ratings, are labor-intensive and subjective in capturing variation across genotypes. Recent progress in computer vision and deep learning has enabled automated flower detection, but most existing studies on blueberries remain restricted to narrow flowering windows or close-up images, limiting their application at the bush level and across the seasonal development. In this study, we developed BerryFlowerNet, a customized YOLO-based model to detect and count blueberry flower clusters from bud to green fruit stages. A comprehensive dataset was collected on three dates using a field phenotyping robot, covering five flowering stages. The integration of CFNet, a custom module fusing shallow spatial features, and PIoU loss improved the detection performance. Additionally, the Slicing Aided Hyper Inference algorithm was employed to address small-object detection in bush-level images. Experimental results demonstrated that BerryFlowerNet outperformed the baseline YOLO model and three additional detectors, achieving an average mAP0.5 of 0.644 across five independent training runs. The model achieved an accuracy of 0.88 when predicting blueberry flowering stages, indicating its effectiveness and accuracy. Additionally, the results of the bush-level image analysis showed the capability of the model to capture genotype-level differences in flowering dynamics. Overall, this approach offers new opportunities for growers and breeders to determine blueberry phenological development that is critical for optimizing on-farm management strategies and advancing precision phenotyping to facilitate the development of climate-resilient blueberries. Full article

Metal accumulation in cacao (Theobroma cacao L.) cultivation represents an important agronomic and food-safety concern, particularly in acidic tropical soils where cadmium (Cd) and other trace metals can become bioavailable and translocate to plant tissues. Green magnetic nanomaterials offer a potential strategy for reducing metal mobility in agricultural substrates, but their performance depends on surface chemistry, dose, and plant genotype. In this study, we synthesized and evaluated MCRES, defined here as a maghemite–Citrus reticulata extract system, a biofunctionalized γ-Fe₂O₃-based nanosystem prepared by coupling iron oxide nanoparticles (NPs) with a 3% (w/v) Citrus reticulata peel extract. The objective was to determine whether citrus-mediated biofunctionalization could produce a scalable magnetic nanoamendment capable of modifying Cd and naturally occurring Ni partitioning in cacao seedlings. MCRES was recovered magnetically and dried, yielding 8.44 g of product from 10 g of precursor. Rietveld analysis performed in X ray diffractograms confirmed phase-pure cubic γ-Fe₂O₃ with a lattice parameter of 0.8332 nm, a crystallite size of 11.3(1) nm, and satisfactory refinement quality (χ² ≈ 1.34). Transmission electron microscope images showed quasi-spherical NPs with a log-normal size distribution centered at 7.5 nm. Magnetic measurements showed superparamagnetic-like behavior at 300 K, high saturation magnetization values of 62 emu g⁻¹ at 300 K and 71 emu g⁻¹ at 5 K, and elevated effective anisotropy values obtained from the Law of Approach to Saturation fitting. MCRES was applied at 0, 1, 2, 4, and 6 g pot⁻¹ to cacao seedlings containing Cd-amended Ultisol with naturally occurring Ni. Plant responses were genotype and dose dependent: TSH-1188 genotype showed limited dose sensitivity for most biometric variables, whereas ICS-95 genotype showed significant dose effects, with maximum growth at the 2 g pot⁻¹ treatment. Metal-partitioning results indicated that Cd remained comparatively mobile toward shoots, whereas Ni was preferentially retained in roots. In TSH-1188 genotype, the Ni translocation factor decreased from 3.07 in the control to 0.85–1.00 at higher MCRES doses. Compared with previous work on non-biofunctionalized nanomaghemite, these results suggest that citrus-mediated biofunctionalization produces a distinct Cd/Ni partitioning response. Overall, MCRES is recommended as a promising nursery-scale green nanoamendment for reducing metal mobility in cacao cultivation, but its agronomic use should be optimized according to genotype and dose. Future work should include side-by-side comparisons with unfunctionalized γ-Fe₂O₃, Citrus reticulata extract alone, and non-contaminated controls under field conditions to validate its long-term effectiveness and environmental safety. Full article

Jatropha curcas L. is an important biofuel plant, but its narrow cultivation range and low seed yield limit its large-scale commercialization. Both genetic improvement and the large-scale clonal propagation of elite genotypes require an efficient and reliable regeneration system. In this study, a high-frequency adventitious shoot regeneration protocol was developed using leaf explants from one-year-old greenhouse-grown plants derived from seeds. An L₉(3³) orthogonal design was employed to optimize the concentrations of plant growth regulators (PGRs). The optimal combination for adventitious shoot induction was 1.0 mg·L⁻¹ TDZ, 0.5 mg·L⁻¹ IBA, and 1.5 mg·L⁻¹ BA. Furthermore, the effect of sodium nitroprusside (SNP), a nitric oxide donor, was investigated. Supplementation with 2.0 mg·L⁻¹ SNP significantly increased both the regeneration frequency and the shoot number per explant when compared to the control. Leaf maturity also significantly influenced the regeneration capacity, with the fourth expanded leaf at the light-green stage showing the greatest response. Under optimized conditions, including PGRs, SNP, and appropriate explant maturity, adventitious shoots were observed within 4 weeks, with a regeneration frequency of 88.0% and an average of 18.7 shoots per explant. This system provides a practical basis for the propagation and genetic improvement of J. curcas. Full article

This study aimed to evaluate genotype-dependent variation in biochemical composition, antioxidant capacity, and aroma profiles of dried Chinese mulberry (Morus spp.) genotypes. Three cultivars, Lvmeiren (green), Zhenzhubai (white), and Yunsang No 2 (red), were analyzed. Organic acids and sugars were determined using HPLC, while total phenolic content, antioxidant capacity (DPPH and FRAP), and total anthocyanins were quantified using spectrophotometric methods. Volatile compounds were analyzed by HS-SPME/GC–MS. Significant differences were observed among genotypes for all measured parameters. Among the studied genotypes, Yunsang No 2 exhibited the highest total phenolic content (379.59 mg GAE g⁻¹ DW), FRAP value (21.51 μmol g⁻¹ DW), and anthocyanin content (37.1 mg L⁻¹). In contrast, Lvmeiren was characterized by markedly higher sucrose (22.57%) and succinic acid (3.69%) contents. Zhenzhubai exhibited the highest glucose (25.82%) and fructose (32.65%) contents, together with elevated citric (2.58%) and malic acid (2.93%) levels. Yunsang No 2 showed markedly higher total phenolics, anthocyanins, and antioxidant capacity, indicating superior nutraceutical potential. Volatile compound analysis revealed aldehydes and alcohols as dominant groups in Lvmeiren and Zhenzhubai, while acids were predominant in Yunsang No 2. Multivariate analyses (PCA and hierarchical clustering) clearly separated genotypes based on biochemical and antioxidant traits. These findings demonstrate that genotype plays a critical role in determining the nutritional quality and aroma profile of dried mulberries and provide valuable insights for breeding, cultivar selection, and functional food applications. Full article

As plant factories with artificial lighting (PFALs) expand beyond leafy greens to include flowering crops, understanding the role of light quantity and quality in regulating plant development becomes increasingly important. This study investigated how far-red (FR) radiation and daily light integral (DLI) influences flowering time, plant morphology, and FLOWERING LOCUS T (FT) gene expression in petunia. Four facultative commercial cultivars and one obligate long-day model cultivar, ‘Mitchell Diploid’, were grown under two DLI conditions with a gradient of FR radiation. Increasing FR consistently accelerated flowering across both DLI conditions without reducing flower bud number, branch number, or shoot fresh weight at harvest. Higher DLI generally produced more compact plants by reducing plant height and canopy area, whereas increasing FR promoted stem elongation, particularly in ‘Mitchell Diploid’. Cultivar responses varied substantially, indicating that genotype is an important factor when applying FR-based lighting strategies. To explore potential molecular mechanisms associated with FR-induced flowering acceleration, the expression levels of five petunia homologs, PhFT1 to PhFT5, were analyzed across developmental stages under low and supplemental FR conditions. PhFT2-5 expression was generally associated with flower initiation, with PhFT2 showing the strongest positive relationship with flowering and responsiveness to supplemental FR, whereas PhFT1 showed a decreasing trend over time and was not positively associated with flowering. Overall, this study demonstrates that FR radiation can be used to accelerate petunia flowering in PFAL production without compromising key quality traits and suggests that specific FT homologs, particularly PhFT2, may contribute to FR-mediated flowering regulation. Full article

Ascaridia nymphii is a roundworm species affecting domestic avian species, initially described in 2015. One pen-reared, 4-year-old, female American Show Racer pigeon (Columba livia f. domestica) was submitted to the California Animal Health and Food Safety Laboratory System (CAHFS) Turlock branch, University of California–Davis, for postmortem examination and diagnostic work-up. Grossly, large numbers of ascarids were in the lumen of the proventriculus, gizzard, and duodenum, and a small number was present in the lumen of the trachea, esophagus, and crop. A focal, coiled adult nematode was embedded in the hepatic parenchyma. Ascarids were tan and measured approximately 3.5–4.5 cm in length. The liver was moderately enlarged, green-tinged, and had small, firm, and off-white scattered nodules. Microscopically, we observed multifocal to coalescing granulomas containing intralesional nematodes delineated by necrotic debris, multinucleated giant cells, eosinophilic and heterophilic inflammation, hemorrhage, and bacterial colonies in the liver. The genotypic characterization of the Ascaridia sp. in our case (GenBank database accession PX488893) shared 100% identity with A. nymphii isolated from the intestinal tract of a cockatiel (Nymphicus hollandicus) from Japan in 2015 (GenBank database accession LC057210.1) based on PCR and sequence analysis of an 815 bp segment of the 18S rRNA gene. This report describes the accidental A. nymphii infection, which caused severe gastrointestinal impaction and hepatic migration in a domestic pigeon. Full article

In the scenario of ongoing climate changes, the selection of plant genotypes with high salt tolerance is emerging as the most sustainable strategy to safeguard crop yield and quality and make productive use of salinized soils. Glassworts are annual and perennial halophytes found in inner and coastal wastelands, indistinctly consumed as high-nutritional green vegetables. Traditional taxonomic classification based on morphological traits can be very challenging in glasswort, due to phenotypic plasticity, reduced plant morphology, and inbreeding. In this work, we used DNA-based molecular tools to overcome such constraints and assess inter-generic and inter-specific genetic diversity in a collection of ecotypes from different Apulian areas. A fast and reliable Allele-Specific PCR assay was optimized to enable molecular detection of annual and perennial genera. Species-level classification was obtained through a similarity- and phylogeny-based approach relying on matK and rbcL DNA barcoding. Combined DNA tools identified perennial samples as Sarcocornia fruticosa and Arthrocaulon macrostachyum, along with annual Salicornia europaea, and phylogenetic trees unveiled genetic distances between glassworts, which clustered according to life cycle. The relationship between genotypes and nutritional profiles was finally investigated, suggesting that environmental factors may play a predominant role over taxonomic relatedness in shaping interspecific differences in nutrient composition of the analyzed samples. Full article

This study aimed to develop an anther culture protocol for triticale (×Triticosecale Wittmack) and generate a doubled haploid (DH) population combining awnlessness and stripe rust resistance. A wheat anther culture protocol was evaluated on nine triticale varieties, with and without Trichostatin A (TSA), and tested on parental genotypes—an awned, stripe rust–resistant breeding line (AT-45) and an awnless variety (‘1143’)—as well as on ten F₁ plants derived from crosses between AT-45 and ‘1143’. Plant regeneration varied widely among varieties, ranging from 0.8 to 39.7 green plants per 30 anthers (1.6–80 per spike), with an overall mean of 9.9 (20 per spike). TSA did not significantly improve green plant production in this study, though further optimisation of the application method may be warranted. An average of 17.4 green plants per spike was obtained from the F₁ plants, and 1130 regenerant plants were grown to maturity, with a mean spontaneous chromosome doubling rate of 42.5%. A total of 480 DH lines were harvested, comprising 250 awned, 60 reduced awn, and 170 awnless lines. Awned and reduced awn lines were discarded, and 114 awnless lines were advanced for field evaluation of stripe rust resistance and agronomic traits. These results establish an effective anther culture system for DH production in triticale and demonstrate the potential of DH technology to accelerate the development of resilient, high-performing varieties. Full article

This study aims to enhance the early warning and monitoring of frost damage in triticale (×Triticosecale Wittmack), as well as to identify frost-tolerant materials. To this end, this work focused on phenotyping the dynamics of triticale under different damage intensities using spectral indices. Sixteen triticale genotypes were planted under three sowing date (SD) treatments, with three sowing rate (SR) gradients set for each SD. The multispectral data of triticale under six frost damage intensities were acquired using an unmanned aerial vehicle (UAV) platform. A total of eight spectral indices (SIs) were extracted from samples under each intensity. In general, for each combination of SD and SR, all SIs decreased monotonically with increasing damage intensity. These indices are therefore suitable for monitoring frost damage in triticale under complex sowing scenarios. Under early frost damage, the relative decline rates (RDRs) of the SRI (Simple Ratio Vegetation Index), EVI2 (Enhanced Vegetation Index 2), NIRv (Near-Infrared Reflectance of Vegetation), and GLI (Green Leaf Index) were higher than those of other indices, indicating that they are more sensitive to early frost damage and thus more suitable for frost warning. Under frost stress, the RDRs of the indices were higher in early-sown samples than in late-sown samples. SD plays a more significant role than SR in determining the response of triticale indices to frost damage. Models were developed to detect triticale under varying damage intensities with SIs and classification algorithms—XGBoost, Quadratic Discriminant Analysis (QDA), Random Forest (RF), and Support Vector Machine (SVM). The SVM classifier demonstrated the best generalization performance (overall accuracy: 98.03%; F1-score: 0.98). The detection contributions of indices within the optimal model were evaluated by their respective SHAP (Shapley Additive Explanations) values. The GLI, NIRv, NDVI (Normalized Difference Vegetation Index), and GNDVI (Green Normalized Difference Vegetation Index) were identified as key indices, as they exhibit higher cumulative SHAP values. Identification models for triticale with different frost tolerance levels were established based on the time-series data of these key indices and the above four algorithms. The optimal model based on the SVM algorithm achieved an identification accuracy exceeding 90%. The average overwintering dynamics and frost damage responses of the key indices were analyzed for triticale with different frost tolerance levels under all treatments. Under frost stress, these indices and their RDRs in frost-tolerant triticale were generally higher and lower, respectively, than those in frost-sensitive triticale. These four key indices can thus assist in the identification of frost tolerance in triticale. This study aids in the early warning and monitoring of frost damage in triticale under complex planting scenarios and the evaluation of overwintering performance in triticale germplasm. Full article

Sweet peppers (Capsicum annuum L.) are an important dietary source of antioxidants. Optimizing fruit antioxidant quality under reduced inputs is essential to valorize sustainable pepper production. Here, we evaluated seven Spanish genotypes (traditional/local, derived experimental hybrids and commercial hybrids) across six treatments combining two fertilization (100% and 50%) and irrigation (100% and 75%) regimes, with plant growth-promoting rhizobacteria (PGPR) applied under reduced fertilization treatments. Vitamin C and flavonoids were quantified by HPLC at the green-ripe and fully ripe stages, and carotenoids were determined spectrophotometrically at the fully ripe stage. Several genotypes largely maintained antioxidant content under stress treatments, whereas specific genotype × ripening stage combinations showed maximum increases in vitamin C (+102%), flavonoids (+86% for kaempferol) and carotenoids (+67% for yellow-orange carotenoids) under certain low-input treatments compared to the control. The PGPR effects on vitamin C and carotenoids were generally small, with occasional reductions. However, the PGPR increased total and some individual flavonoids by up to 96% (luteolin) in green-ripe Piquillo and 128% (quercetin) in fully ripe Isabel F1 fruits compared to the corresponding non-inoculated treatments. This multi-genotype, two ripening-stage evaluation identifies Spanish traditional germplasm and derived hybrids with stable or improved antioxidant profiles under low-input conditions and provides insight into PGPR effects. These results support the use of traditional genotypes in breeding for sustainable production. Full article

Chinese cabbage is one of the major vegetable crops in northern Asia. Its leaves are the major organ for photosynthesis and production, and leaf color directly influences its yield and quality. Here, we obtained a pale green mutant pgm3. This mutant line was derived from EMS mutagenesis of Chinese cabbage DH line FT. pgm3 exhibited chlorosis and etiolation, delayed growth, reduced photosynthetic pigment content and net photosynthetic rates, and impaired development of the chloroplast inner membrane system. Genetic analysis revealed that the pale green phenotype was controlled by a single recessive nuclear gene, Brpgm3. Mutmap analysis indicated that Brpgm3 is located on a 13.9 Mb region in A03. Within this region, a single SNP (A03: 7194530) with an SNP-index of 1, located in BraA03g015750.3C (BrClpC1), was identified from 40 differential SNPs. KASP genotyping demonstrated that the SNP co-segregated with the pale green phenotype in the F₂ population. Sanger sequencing confirmed a G-to-A SNP in exon 4 of BrClpC1, which resulted in an amino acid substitution from S to G. Furthermore, multiple sequence alignment of homologs from 28 species demonstrated that this mutated residue is highly conserved. BrClpC1 was predominantly expressed in leaves and exhibited the highest transcript abundance among the nine members of the Class I Clp gene family in Brassica rapa. This is the first report identifying ClpC1 in Brassica crops. Our results not only confirmed BrClpC1 as a strong candidate gene for the pale green mutant of Chinese cabbage, but also highlighted BrClpC1 as a target for chloroplast biology research in Brassica crops. Full article

Green husks, which are the fleshy pericarp of Juglans regia L. fruit, are an abundant yet under-utilized source of bioactive compounds. They are useful for plant defense and have potential for valorization to multiple commercial products. This study characterized total phenolic content (TPC) and individual phenolics in green husks of four Hungarian-bred cultivars (Milotai 10, Milotai intenzív, Milotai kései, Esterhazy kései) and one U.S. cultivar (Chandler). Phenolic compounds were extracted with aqueous organic solvents, quantified by HPLC-DAD and qualitatively identified by HPLC-MS. Linear mixed-effects models were used to assess the effects of cultivar, year, sampling time, and cumulative growing degree days (GDDs) on TPC and compound profiles. Mean TPC ranged from 34.9 to 57.2 mg GAE g⁻¹ DW, with significantly higher values in the warmest year, 2024, and in cultivar Esterhazy kései compared with Chandler. Across cultivars and years, phenolic levels were generally elevated at early lignification (S1, BBCH 73–75) and at full maturity (S5–S6, BBCH 87–88), with depressed concentrations during mid-fruit development (S2–S4, BBCH 77–86). Several hydroxycinnamic acids, flavonoids, and naphthoquinones showed cultivar-specific and year-dependent patterns. Thermal conditions (cumulative GDDs) explained a substantial proportion of residual variation in TPC. These results highlight the combined roles of genotype, seasonal climate, and developmental stage dependencies in biosynthetic processes of phenolics in walnut green husks despite the diversity in factor effects. Full article

Pea (Pisum sativum L.) is a multifunctional legume of growing importance in sustainable cropping systems. This study presents an integrative assessment of a forage pea variety across multiple agronomic functions under temperate continental conditions. Results from three environmentally comparable field trials were synthesized to evaluate (i) grain yield and protein traits, (ii) biomass production and nutrient accumulation in cover cropping systems, and (iii) effects on soil nitrate dynamics and maize (Zea mays L.) yield. Compared with vegetable- and dry-seed-type genotypes, the forage-type cultivar exhibited greater plant height and lodging tendency, moderate grain yield, and elevated protein content (28.8%), characterized by a legumin-dominated protein profile. As a winter cover crop grown in mixture with oat (Avena sativa L.), pea produced lower total biomass than rye (Secale cereale L.) but showed substantially higher nitrogen concentrations (2.93–3.01%), indicating enhanced nitrogen input potential. In crop rotation, pea-based treatments significantly affected soil nitrate distribution and maize productivity. Complementary resource use in pea-based systems enhanced biomass production, supporting forage and green manure functions while contributing to soil fertility and system stability. Its morphological and physiological adaptability enables integration into diverse production models, from intensive to regenerative systems. Overall, pea should be regarded not merely as a single crop, but as a strategic component of diversified farming systems aimed at increasing protein yield, optimizing inputs, improving soil quality, and strengthening the long-term sustainability of agroecosystems. Full article

The development of stable and high-yielding fodder pearl millet genotypes with improved quality traits is crucial for enhancing livestock productivity under diverse environments. In this study, twenty-six elite genotypes, including brown midrib (bmr) lines and two check cultivars, were evaluated across four locations, which fall broadly under two agro-climatic zones of India, during the summer season of 2024 to assess their stability for yield and fodder quality traits. Significant genotypic differences and genotype × environment interactions (GEIs) were observed for all traits, indicating substantial genetic variability and environmental influence on trait expression. Additive Main Effects and Multiplicative Interaction (AMMI) and Weighted Average of Absolute Scores (WAAS) analyses identified IGPM 100 as a high-yielding and stable genotype across environments, whereas Baif Bajra 1 and IGBV 97 exhibited specific adaptation. Among quality traits, ICMbmr 2401, ICMbmr 2402, and ICMbmr 2404 recorded consistently low lignin content, confirming their potential for improving forage digestibility. Further, ICFPM 05 recorded high tillering and longer leaves, while ICMFV 2308 exhibited late flowering across locations, indicating their potential for use in developing leafy, late-flowering genotypes. The multi-trait stability index (MTSI) efficiently identified IGPM 100, ICFPM 02, ICMbmr 2404, and IGBV 9 as superior and stable genotypes across multiple traits. High selection differentials for green fodder yield and negative differentials for lignin and fibre fractions highlight the possibility of a simultaneous improvement in yield and quality traits. Overall, the integration of AMMI, WAAS, and MTSI models facilitated the identification of broadly adapted and trait-specific genotypes, which, after evaluating their combining ability, can be used for developing fodder pearl millet composites and hybrids. Full article