Search Results (1,194)

To address inefficiencies, pig stress from traditional manual body dimension measurement, and environmental interference in existing automated technologies, this study designed and validated a non-contact measurement system for Jiangquan black pigs based on dual-view (top + side) depth vision (Intel RealSense D455). Key dimensions (body length/width/height, chest depth) were accurately extracted via depth map calibration, dynamic scaling, and U-Net segmentation. Chest girth was estimated using the Ramanujan ellipse perimeter model (MAE = 4.15 cm, R² = 0.908) and integrated as the core parameter for body weight prediction in an empirical formula. This experimental dataset comprises 30 pigs sourced from a single farm, with body weights falling within a limited range (30–100 kg). All dimensions achieved R² > 0.9, with top-view body width performing best (R² = 0.9424, MAE = 1.9 cm). Body weight prediction yielded R² = 0.957 and MAE = 5.1 kg. The system completes measurements in 24 ± 4 s with low hardware costs and stress-free operation, making it suitable for precision breeding in small-to-medium pig farms. Full article

The color change in the peel of Jaboticaba (Myrciaria cauliflora Berg) ‘Essart’ is primarily driven by the spatiotemporal regulation of anthocyanin biosynthesis, but its molecular mechanism remains unclear. This study employed a multi-omics integrated analysis approach, combining targeted metabolomics, transcriptomics, and small RNA sequencing, to systematically elucidate the regulatory mechanism underlying color change during Jaboticaba fruit peel development. The results showed that during the color-turning stage, the content of most anthocyanins tended to decrease, while the content of Cyanidin significantly increased during the fully ripe stage. Weighted Gene Co-expression Network Analysis (WGCNA) identified the brown module as a highly relevant module for anthocyanin accumulation, which includes a co-expression network of 98 transcription factors and 6 structural genes (F3H, CHI, ANS, CHS). Furthermore, small RNA sequencing results discovered a novel regulatory relationship: plant-MIR408-4—McMYB88. This regulatory relationship exhibited precise temporal dynamics: during the green fruit stage, plant-MIR408-4 was highly expressed and McMYB88 was lowly expressed, thereby inhibiting anthocyanin synthesis; however, during the fully ripe stage, plant-MIR408-4 expression decreased and McMYB88 expression increased, promoting anthocyanin accumulation. In summary, this study revealed the molecular regulatory mechanism of color formation in Jaboticaba fruit peel, providing an important theoretical basis for its color improvement and molecular breeding. Full article

Periodontal disease is a progressive inflammatory condition frequently diagnosed in dogs, particularly in small breeds such as Yorkshire Terriers, Toy Terriers, Spitz, Toy Poodles and other breeds predisposed to rapid plaque and tartar accumulation. As the field of regenerative medicine becomes more popular, more and more attention is being paid to substances that promote tissue regeneration, one of which is platelet-rich plasma (PRP). PRP is an autologous blood-derived product rich in growth factors that stimulate tissue regeneration and modulate inflammation. This study aimed to evaluate the clinical effectiveness of PRP injections without additional activating agents in the management of stage 2–3 periodontitis in small-breed dogs. Forty-two adult dogs (Yorkshire Terriers, Toy Terriers, Pomeranians, Toy Poodles, and Havanese) were enrolled and divided into two groups: PRP (n = 30) and control (n = 12). Following standard dental prophylaxis, the PRP group received gingival, submucosal, and periodontal pocket injections of PRP (0.1 mL per site). Periodontitis stage, gingival index, periodontal pocket depth, and horizontal bone loss were evaluated at baseline and 30 days post-treatment. PRP therapy significantly improved all evaluated parameters (p < 0.05). The gingival index decreased threefold, periodontal pocket depth was reduced twofold, and horizontal bone loss decreased by more than twofold compared with baseline and controls. No adverse reactions, discomfort, or postoperative complications were observed. The administration of non-activated PRP as an adjunct to dental cleaning significantly enhances soft and hard tissue regeneration in small-breed dogs with stage 2–3 periodontitis. PRP therapy represents a safe, minimally invasive, and effective regenerative approach for improving periodontal health in routine veterinary dentistry. Full article

This narrative review aims to summarize, synthesize, and organize current knowledge on the adaptation of sheep and goats to stressful environments and to discuss how these adaptations contribute to food security in vulnerable communities. A structured search of Web of Science, Scopus, PubMed, and Google Scholar was conducted using combinations of terms related to sheep and goats, harsh environments (e.g., arid and semi-arid regions, heat stress, water restriction, poor-quality forage), and adaptation or resilience, combined with Boolean operators. A total of 1718 research publications were found, of which 86 were retained as the most relevant because they provided direct and detailed evidence on anatomical, physiological, digestive–microbiome, behavioral, and genomic adaptations of sheep and goats to stressful environments. The selected studies describe a wide range of phenotypic and integumentary traits, thermoregulatory and endocrine responses, digestive and microbial adjustments, behavioral strategies, and genomic signatures that, together, allow small ruminants to maintain basic functions, reproduction, and production under conditions of climatic and nutritional stress. Evidence from these studies also highlights how adaptive traits support herd productivity, economic stability of households, and the sustainable use of natural resources in regions where climatic variability and resource scarcity are common. Overall, the synthesis presented here underscores the importance of conserving and strategically using locally adapted sheep and goat breeds, incorporating resilience-related traits into breeding and management programs, and prioritizing further research on genomic, microbiome, and epigenetic mechanisms that underpin adaptation to harsh environments. Full article

Pseudoscorpions collected from the remote southeast Pacific Island of Motu Motiro Hiva (also known as Isla Salas y Gómez) yielded two different species. A juvenile specimen of the genus Garypus (Garypidae) was found near the seashore, which represents the most southerly record of Garypus in the Pacific Ocean. Numerous specimens of an unusual chernetid were taken from inside mummified carcasses of seabirds that breed on the island. Although they show morphological similarities to some other American genera such as Americhernes Muchmore, Cordylochernes Beier, and Lustrochernes Beier, the gaping fingers on the male chela and the positions of the trichobothria clearly differentiate them from all other genera. We therefore propose the new genus and species Motuchernes spatiodigitus sp. nov., which is endemic to this small remote and isolated island. Full article

(1) Background: ‘Chaling’ common wild rice (CLWR), one of the two wild rice populations with the northernmost natural distribution worldwide, exhibits excellent cold tolerance. The role of microRNA (miRNA) in regulating cold tolerance in plants has been reported in some species. However, the miRNA landscape in CLWR remains unexplored. (2) Methods: We assessed cold tolerance in CLWR and the conventional rice variety 9311 at 4 °C, and conducted small RNA sequencing and analysis on eight samples from both CLWR and 9311, before and after cold treatment. (3) Results: All seedlings of CLWR survived after cold treatment and recovery, while all seedlings of 9311 died. After quality control and classification analysis of the small RNA sequences, numerous known and novel microRNAs (miRNAs) were identified. The expression analysis showed 59 differentially expressed miRNAs in CLWR before and after cold treatment, and 19 in 9311, with eight overlapping differentially expressed miRNAs between the two varieties. Target gene prediction for these miRNAs indicated that some predicted target genes, such as CTB4a and GRF4, are key genes involved in regulating cold tolerance in rice. Additionally, CLWR actively mobilizes more miRNAs and their target genes to resist cold stress than 9311. (4) Conclusions: This study offers new insights into the regulatory mechanisms of cold tolerance in CLWR at the miRNA level, providing a wealth of gene (miRNA) resources for genetic breeding research in rice aimed at enhancing cold tolerance. Full article

(1) Background: Backcross (BC) breeding is a key technology of crop improvement, yet its efficiency largely depends on the precise assessment of the genetic background recovery. Conventional molecular marker-assisted techniques suffer from inadequate genomic coverage or an inability to resolve true chromosomal structure. (2) Methods: To address major issues in maize BC breeding, we devised a G2H block-scanning strategy. This approach converts high-density point markers into haplotype blocks, enabling precise evaluation of the genetic background in backcross progenies. A key innovation is the CFDI, which quantifies the distribution of unrecovered fragments, allowing for visual tracking of chromosomal recombination and identification of ideal individuals with both a high genetic background recovery rate and few small fragments retention. (3) Results: We validated the accuracy and effectiveness of the G2H strategy across multiple backcross generations. Through enabling a precise “point-to-line-to-area” panoramic assessment of genetic background, G2H provides a powerful tool for developing ideal breeding materials with pure genetic background and minimized linkage drag. (4) Conclusions: Notably, this strategy significantly shortens the breeding cycle by 2–3 generations compared to conventional background assessment methods, thereby accelerating precision molecular design breeding in crops. Full article

Dairy cow longevity is a key driver of farm profitability, animal welfare, and environmental sustainability. Despite genetic progress in milk production, the average herd life has declined in many high-yielding dairy systems, raising concerns about early culling. This study analyzed data from 2057 Holstein–Friesian cows in Hungary to characterize the distribution and timing of culling events and to identify major risk factors affecting productive lifespan. We studied age, parity, milk yield, and culling reason using descriptive statistics, Kruskal–Wallis tests, multinomial logistic regression, and Kaplan–Meier survival analysis. Udder health problems were found to be the most frequent cause of culling (22.8%), followed by metabolic disorders (18.2%), locomotive problems (17.3%), and reproductive disorders (17.1%). Economic reasons such as low milk production contributed to a smaller proportion of culling. Most cows were culled after the second or third lactation, with survival probability dropping sharply within the first 1500–2000 days of life. Cows reaching four or more lactations represented a small but economically and genetically valuable subset of the herd. Our results indicated that in Hungary culling decisions are largely determined by health problems, which represent a greater limitation to the productive potential of dairy cows than economic factors. This research recommends that breeding programs prioritize genetic selection for robustness and that herd management adopts preventive health and reproductive strategies to prolong cow longevity, ultimately enhancing the efficiency and sustainability of dairy production systems. Additionally, prevention of animal wastage to foster animal welfare could be suggested as an additional advantage. Full article

The reproductive biology of the whale shark (Rhincodon typus), the world’s largest fish, remains poorly understood, in large part due to the rarity of observations of neonates and of breeding behaviours. Although several regions in Indonesia, including Saleh Bay (West Nusa Tenggara Province), have been identified as aggregation and sighting sites for juvenile whale sharks (2–7 m total length, TL), smaller individuals from these potential nursery areas have not been previously documented. In August 2024, fishermen operating lift-net fishing vessels (bagans) in eastern Saleh Bay reported five separate sightings of a small whale shark estimated at 1.2–1.5 m TL and approximately four months old. Subsequently, on 6 September 2024, a male neonate measuring approximately 135–145 cm TL, estimated to be around four months old, was incidentally caught inside a bagan lift-net. These observations represent the first records of neonatal whale sharks in Indonesia and among the smallest free-swimming individuals ever documented globally, and suggest that Saleh Bay may serve as a pupping and early nursery area for whale sharks. These findings highlight the ecological significance of Saleh Bay for the early life stages of whale sharks and underscore the importance of collaborative monitoring and citizen science involving bagan fishermen in advancing the research and conservation of this endangered species. Full article

Accurate, high-throughput estimation of Above-Ground Biomass (AGB), a key predictor of yield, is a critical goal in rapeseed breeding. However, this is constrained by two key challenges: (1) traditional measurement is destructive and laborious, and (2) modern deep learning approaches require vast, costly labeled datasets. To address these issues, we present a data-efficient deep learning framework using smartphone-captured top-down RGB images for AGB estimation (Fresh Weight, FW, and Dry Weight, DW). Our approach utilizes a two-stage strategy where a Vision Transformer (ViT) backbone is first pre-trained on a large, aggregated dataset of diverse, non-rapeseed public plant datasets using the DINOv2 self-supervised learning (SSL) method. Subsequently, this pre-trained model is fine-tuned on a small, custom-labeled rapeseed dataset (N = 833) using a Multi-Task Learning (MTL) framework to simultaneously regress both FW and DW. This MTL approach acts as a powerful regularizer, forcing the model to learn robust features related to the 3D plant structure and density. Through rigorous 5-fold cross-validation, our proposed model achieved strong predictive performance for both Fresh Weight (Coefficient of Determination, R² = 0.842) and Dry Weight (R² = 0.829). The model significantly outperformed a range of baselines, including models trained from scratch and those pre-trained on the generic ImageNet dataset. Ablation studies confirmed the critical and synergistic contributions of both domain-specific SSL (vs. ImageNet) and the MTL framework (vs. single-task training). This study demonstrates that an SSL+MTL framework can effectively learn to infer complex 3D plant attributes from 2D images, providing a robust and scalable tool for non-destructive phenotyping to accelerate the rapeseed breeding cycle. Full article

The efficient pre-incubation selection of duck eggs is essential to ensuring stable hatchability, but most existing optoelectronic and machine vision systems have been calibrated for chicken eggs and cannot be directly used for duck eggs because of their larger size, stronger reflectivity and wider morphological variability. This study proposes an optoelectronic method specifically adapted to Adigel duck eggs that combines load cell weighing, infrared distance sensing and dual-projection image processing in a single stationary setup. A total of 300 eggs were measured manually and automatically, and the results were statistically compared. The developed algorithm uses adaptive Gaussian thresholding (51 × 51, C = 2) and a median 5 × 5 filter to stabilize contour extraction on glossy and spotted shells, followed by ellipsoid-based volume estimation with a breed-specific correction factor (K_v = 0.637). The automatic system showed high agreement with manual measurements (r > 0.95 for mass and linear dimensions) and a mean relative error below 2%. Density, the shape index (If) and the shape coefficient (K₁) were computed to classify eggs into “suitable”, “borderline” and “unsuitable” categories. A preliminary incubation trial (n = 60) of eggs classified as “suitable” resulted in 92% hatchability, thus confirming the predictive value of the proposed criteria. Unlike chicken-oriented systems, the presented solution provides breed-specific calibration and can be implemented in small and medium hatcheries for the reproducible, non-destructive sorting of hatching duck eggs. Full article

Myxomatous mitral valve disease (MMVD) is the most prevalent cardiac disorder in small and toy breed dogs, with the Cavalier King Charles Spaniel (CKCS) showing exceptionally high predisposition and early onset of the disease. MMVD is characterized by progressive mitral valve degeneration, volume overload, and eventual development of congestive heart failure (CHF). Given the strong hereditary component in CKCS, considerable research has focused on elucidating the genetic basis of MMVD in this breed. This review article summarizes the current state of knowledge on the phenotypic features, inheritance, and candidate loci potentially responsible for early onset and severe course of the disease. The pathogenesis of the disease, its classification, and the effects of breeding programs aimed at reducing the occurrence of MMVD have been described. Key findings include associations between MMVD severity and polymorphisms in genes such as NEBL, ACE, CDK6, HEPACAM2, COL5A1, and FAH, as well as evidence implicating dysregulated TGF-β signaling, serotonin signaling, and extracellular matrix remodeling pathways. The current state of knowledge on the role of miRNA in the pathogenesis of MMVD was also summarized. Despite these findings, no specific high-penetrating mutation has been identified. MMVD is a complex, polygenic condition shaped by regulatory variants and breed-specific genetic bottlenecks. Comparative studies underscore the translational relevance of canine MMVD to human mitral valve disease, while genomic insights may be basis for the future selective breeding strategies and therapeutic approaches. Further large-scale, integrative studies combining genomics, transcriptomics, and functional validation are needed to clarify disease mechanisms and support targeted treatment in CKCS as well as the development of new breeding strategies and programs. Full article

Although numerous quantitative trait loci (QTLs) and candidate genes have been implicated in litter size in certain pig breeds, the genetic basis underlying the pronounced differences in reproductive capacity among breeds remains incompletely understood. To elucidate the underlying mechanisms responsible for the heterogeneity in reproductive capacity, we performed integrated transcriptomic and metabolomic analyses on ovarian tissues from two pig breeds with contrasting litter sizes: Diannan Small-ear (DSE) pigs and Yorkshire (YK) pigs. YK pigs exhibited significantly higher total born piglets. Transcriptome analysis revealed that upregulated DEGs in YK ovaries were enriched in ovarian steroidogenesis, retinol metabolism, vitamin digestion/absorption, and folate biosynthesis. In contrast, DSE pigs showed enrichment in inflammatory and immune-related pathways. Furthermore, integrative transcriptomic and metabolomic analysis revealed that upregulated DEGs in YK pigs, such as STAR and COL3A1, and concurrently elevated metabolites (e.g., L-threonine, L-asparagine, L-proline, L-methionine, arachidonic acid, and progesterone) were jointly enriched in three key pathways: protein digestion and absorption, mineral absorption, and aldosterone synthesis and secretion. These genes and metabolites are implicated in granulosa cell and oocyte proliferation, maturation, and protection against oxidative damage. Our findings provide a theoretical foundation for future strategies aimed at improving reproductive performance through targeted modulation of key genes and metabolites. Full article

Flowering often perturbs carbon allocation in sugarcane, yet its transcriptomic–metabolomic basis remains unclear. We profiled two contrasting cultivars, Gui Tang 16-3285 (sugar increases during flowering) and Gui Tang 44 (sugar decreases), sampling apical tissues at five stages (Non-spikelet-bearing stage (NSB), Early booting stage (ESB), Late booting stage (LSB), Tasseling stage (TS), and Flowering stage (FS)). RNA-seq and untargeted LC–MS revealed a strong stage/genotype structure (PCA) with high reproducibility. Pairwise contrasts (FS vs. earlier stages) and time series clustering (Mfuzz) showed extensive, stage-resolved reprogramming with small cross-cultivar overlaps. GO/KEGG indicated that GT16 is enriched for central carbon processes and glucose response, whereas GT44 favors cell-wall remodeling (xylan/xyloglucan), amino/nucleotide sugar, and phenylpropanoid pathways. Integrated analysis identified opposing temporal features across omics layers: in GT16, late-rising metabolites—including sedoheptulose—were consistent with enhanced pentose phosphate/Calvin coupling that regenerates fructose-6-phosphate for sucrose biosynthesis; in GT44, early activation of wall and secondary sinks, together with trehalose/(trehalose-6-phosphate) T6P signatures, paralleled declining soluble sugars. Across cultivars we resolved 11 and 18 genes in reciprocal opposite-trend sets (most with clear temporal order) and eight vs. five metabolites with mirrored dynamics, nominating actionable biomarkers (e.g., sedoheptulose/S7P) and regulatory nodes. These results provide a mechanistic framework linking flowering stage to carbon partitioning and suggest practical levers—timing growth moderation/ripeners, prioritizing sucrose phosphate synthase/Sucrose Phosphate Phosphatase, tempering wall flux, to sustain sucrose during reproductive development and inform breeding for high-sugar, flowering-resilient ideotypes. Full article

Sichuan bream (Sinibrama taeniatu), an endemic small economic fish in the upper Yangtze River, has achieved captive breeding breakthroughs. To advance standardized and large-scale aquaculture, this study investigated intestinal development, enzyme activities, gut microbiota, and its interactions with rearing water microbiota across six developmental stages (G1–G6) from hatching to sexual maturity of Sichuan bream. Results showed its progressive refinement of external morphology and intestinal developing into multiple flexures. Histology examination revealed four foregut layers with continuously increasing villus height. Digestive enzyme analysis revealed significantly higher activity of trypsin compared to that of amylase and lipase (p < 0.05). 16S rRNA sequencing identified Proteobacteria, Firmicutes, Bacteroidota, Actinobacteriota, and Fusobacteria as the dominant phyla in both gut and rearing water microbiota. Gut communities shifted from Proteobacteria-dominance (C₁–C₅) to Firmicutes-dominance (C6). The microbial source tracking analysis indicated water contributed to gut microbiota of Sichuan bream, particularly during G3. This study clarified the intestinal development patterns and gut microbiota colonization dynamics of Sichuan bream. The findings provide reference materials for the research on the growth patterns and host–microbe interaction of Sichuan bream. They lay a theoretical foundation for the protection and utilization of Sichuan bream resources, ultimately aiding in their proliferation and release. Full article