Search Results (655)

Organic dairy farming has expanded rapidly over the past three decades, driven by regulatory reforms, consumer demand, and growing recognition of its environmental, animal welfare, and potential human health benefits. Despite this growth, evidence comparing organic and conventional dairy systems remains fragmented across genetics, phenomics, animal health, and human health outcomes. This review synthesizes current knowledge through the lens of genotype × environment interactions, integrating evidence from four complementary domains: (1) genomic architecture and breeding strategies; (2) phenotypic performance, including milk production and composition, meat quality, nutrition, and reproductive traits; (3) animal health, disease resistance, antimicrobial use, and welfare; and (4) implications for human health. Holstein–Friesian cattle remain the predominant breed in both systems; however, organic production favors animals with greater robustness, longevity, grazing efficiency, and disease resilience. Genetic studies further demonstrate that highly heritable production traits share similar genetic architecture across production systems, whereas health, fertility, longevity, and other low-heritability functional traits exhibit stronger genotype × environment interactions and more system-specific genomic signatures. These findings suggest that breeding strategies developed for high-input conventional systems are unlikely to maximize performance under organic management. Collectively, the evidence supports a shift from selection focused primarily on milk yield toward genomic improvement of robustness, disease resistance, reproductive resilience, grazing adaptation, and lifetime productivity. We propose Genomically Optimized Organic Dairy (GOOD) as an emerging framework that integrates genomic selection, precision phenotyping, health monitoring, and environmental adaptation to develop dairy cattle better suited to organic production. Full article

Body condition score (BCS) is widely used to assess the energy status of dairy cows, yet its relationship with coordinated metabolic and immune responses during early lactation remains incompletely understood. The aim of this study was to characterize the physiological profile associated with low BCS using biomarkers of energy metabolism, hepatic function, oxidative status, inflammation, mammary gland health, milk production, and milk composition. A total of 580 Polish Holstein–Friesian cows in early lactation were classified into four BCS categories and evaluated using univariate and multivariate statistical approaches, including composite physiological indices and partial least squares discriminant analysis (PLS-DA). Cows with the lowest BCS (2.0–2.5) exhibited marked lipid mobilization and hepatic stress, reflected by higher concentrations of non-esterified fatty acids, β-hydroxybutyrate, aspartate aminotransferase, and gamma-glutamyl transferase (all p < 0.001). These changes were accompanied by increased oxidative stress, elevated inflammatory activity, alterations in mammary gland biomarkers, and changes in selected milk traits. Composite physiological indices consistently differentiated low-BCS cows from the remaining groups, while PLS-DA identified a distinct biomarker profile associated with low body condition. Among the evaluated variables, interleukin-8 showed the greatest contribution to class discrimination, ranking above conventional metabolic biomarkers in the multivariate analysis. The results indicate that low body condition score is associated with coordinated alterations involving metabolism, liver function, oxidative balance, inflammation, and mammary gland responses rather than isolated metabolic disturbances. The proposed composite physiological indices and the Integrated Low-BCS Phenotype Score (ILBPS) provide an integrative framework for characterizing the physiological phenotype associated with low body condition during early lactation. Prospective longitudinal studies are required to determine whether these biomarkers and composite indices have prognostic value for subsequent metabolic or clinical outcomes. Full article

Dairy goats sustain milk production across marginal environments worldwide, yet genetic improvement of milk yield and composition remains slower than in cattle, constrained by smaller reference populations and limited functional validation. This review consolidates current evidence on the genes and polymorphisms governing milk production traits in dairy goats. Whole-genome resequencing and selection-signature scans repeatedly recover a lipogenic–somatotropic core (ACSS2, DGAT2, GHR, VPS13C, PRPF6), whereas genome-wide association studies (GWASs) confirm the casein cluster (CSN1S1, CSN1S2, CSN2, CSN3) as the most reproducible determinant of protein content and DGAT1 as the principal fat-content gene. Transcriptomic, single-cell, and metabolomic analyses, together with functional dissection in goat mammary epithelial cells, resolve the regulatory networks—SREBP1, PPARG, ELF5, and non-coding RNAs—that translate genotype into phenotype. Integrating multi-omic evidence with expanded, well-phenotyped populations is essential to convert this expanding catalog into precise marker-assisted and genomic selection for milk yield and quality. Full article

The genetic and physiological variations among individuals of Holstein dairy cattle contribute to variations in milk yield. Selecting high-yield cows is critical for improving lactation performance. The present study aimed to identify functional genetic variants of the 3′ untranslated region (3′ UTR) in the ELF5 gene associated with milk production traits and to elucidate their underlying molecular mechanisms. A total of 1314 Chinese Holstein cows were genotyped, and a novel single nucleotide polymorphism (SNP), ELF5 g.32793 G>T, was identified in the 3′ UTR of ELF5. This SNP was significantly associated with milk production, such as milk yield, milk fat percentage, milk protein percentage, and somatic cell score. Bioinformatic prediction and dual-luciferase reporter assays demonstrated that the ELF5 g.32793 G>T affects the interaction between bta-miR-487a and the ELF5 3′ UTR. Functional analyses in bovine mammary epithelial (MAC-T) cells showed that bta-miR-487a suppressed cell proliferation by inducing G0/G1 phase arrest and reduced the expression of proliferation-related proteins. Collectively, these findings suggested that bta-miR-487a participates in the regulation of MAC-T cell growth and that the ELF5 g.32793 G>T polymorphism may influence lactation performance through an miRNA-associated mechanism. Therefore, the variant can be used as a functional marker for marker-assisted selection in dairy cattle breeding. Full article

Methane (CH₄) emissions from dairy cattle contribute substantially to agricultural greenhouse gas production and are influenced by genetic, physiological, environmental and management-related factors. The present study investigated CH₄-related traits and genotype–system interactions in Holstein Friesian (HF) dairy cows using repeated laser methane detector (LMD)-based measurements. A total of 134 cows from one research herd reflecting a commercial production system were repeatedly recorded for CH₄ traits (739 observations per trait) between 2020 and 2024 and linked with milk performance test-day data, behavioral observations, environmental measurements and genomic breeding values. CH₄ traits were derived separately for respiration- and eructation-related emissions. Generalized linear mixed models revealed significant effects of wind speed, rumination behavior, interaction behavior and days in milk on several CH₄ traits. Across lactation, respiration-related CH₄ traits slightly decreased, whereas eructation-related traits increased toward later lactation stages. Correlations between CH₄-related breeding values and production traits were generally low to moderately negative, ranging from −0.24 to 0.08, indicating that selection for reduced CH₄ emissions may be achievable without major unfavorable effects on milk production traits. To evaluate the complex relationships among CH₄ emissions, production, behavior, environment, diet and genetic background, a structural equation model (SEM) was applied. Environmental conditions, particularly temperature and humidity, showed the strongest positive association with CH₄ emissions, while eructation-related CH₄ traits contributed more strongly to the latent CH₄ construct than respiration-related traits. Behavioral activity, especially rumination, indicated relevant associations with CH₄ expressions. The SEM further suggested that CH₄ emissions are shaped by interconnected environmental, physiological and genetic pathways rather than by a single dominant factor. Overall, the results highlight the importance of environmental sensitivity and longitudinal biological variation in CH₄ phenotypes under commercial dairy production conditions. Repeated on-farm CH₄ measurements, particularly eructation-associated traits, may provide valuable indicator traits for future genomic breeding and management strategies to reduce the environmental footprint of dairy cattle production. Full article

Genomic selection (GS) provides an effective approach to accelerating genetic gain in dairy goats, but the prediction performance is strongly influenced by the statistical model, marker density, phenotype adjustment strategy, and biological architecture of the target trait. In this study, dairy goat populations comprising Xinong Saanen and Saanen dairy goats from major production regions in China were used to evaluate genomic prediction for milk yield (MY), milk fat percentage (MFP), and milk protein percentage (MPP). Genotypes from 1034 dairy goats were generated using low-coverage whole-genome sequencing (lcWGS), imputed to improve genotype completeness and accuracy; a high-quality chip-based dataset was also constructed from previously developed 25K single-nucleotide polymorphism (SNP) chip loci. Conventional genomic best linear unbiased prediction (GBLUP) models, Bayesian regression models, and machine learning algorithms were compared using 10-fold cross-validation. Bayesian models showed clear trait-specific advantages, with BayesB improving MFP prediction by approximately 12.9% relative to GBLUP under the 25K chip-based strategy. Among machine learning methods, gradient boosting models performed strongly; extreme gradient boosting (XGBoost) improved the prediction accuracy for MY, MFP, and MPP by 14.3%, 17.9%, and 18.5%, respectively, relative to GBLUP under the chip-based strategy. Incorporating genome-wide association study (GWAS)-derived prior information and selection signature priors further improved the prediction accuracy, particularly for milk composition traits. Overall, the results indicate that genomic prediction in dairy goats can be optimized by matching models, genotyping platforms, and prior biological information to the genetic characteristics of the target trait. Full article

Agro-industrial by-products are increasingly considered as feed resources for circular animal production, but their value should not be interpreted only as a low-cost replacement of conventional ingredients. This scoping review critically examines how by-products from grape, olive, tomato, citrus, cereal, brewery, oilseed and vegetable processing chains may contribute to the development of high-value animal-derived foods. Particular attention is given to bioactive compounds, polyphenols, carotenoids, tocopherols, fermentable fibres and residual lipids, as well as to microbiome-mediated biotransformation, host metabolic pathways, compound transfer, product-quality modulation, feed safety and circular valorization. Available evidence indicates that selected by-products can influence milk, cheese, meat, eggs and fish products by modifying fatty acid profile, oxidative stability, antioxidant-related traits, pigmentation, volatile compounds, shelf-life and, in some cases, the transfer of specific metabolites to edible products. However, these responses depend on by-product source, processing method, inclusion level, active dose, animal species, basal diet and analytical endpoints. Chemical richness alone is therefore insufficient to support functional claims. Stronger evidence requires studies that connect matrix characterization, processing stability, microbial and host-mediated transformation, biological intermediates and final product quality within the same experimental design. Precision circular feeding should therefore combine local availability, safety, active-dose definition, metabolomic and lipidomic traceability, and product-level validation to support reproducible improvements in high-value animal-derived foods. Full article

Winter fallow fields are widely distributed in southern China, where legume–grass mixtures are considered a useful approach for improving land-use efficiency and forage productivity while maintaining agroecosystem functions. Previous studies on the use of winter fallow fields have generally focused either on monoculture or on crops subjected to a single cut. These studies have primarily assessed aboveground productivity, whereas soil bacterial community responses have received comparatively little attention. Consequently, limited information is available on how different seeding combinations and cutting times affect aboveground biomass and soil bacterial community structure in mixed-cropping systems. A fixed-site field experiment involving annual ryegrass (Lolium multiflorum L.) and Chinese milk vetch (Astragalus sinicus L.) was conducted on yellow clay soil. Five annual ryegrass-Chinese milk vetch seeding combinations (100:0, 75:25, 50:50, 25:75, and 0:100) were established as proportions of their respective monoculture seeding rates. The same plots were maintained for five consecutive winter growing seasons, from autumn 2021 to spring 2026. Plant and soil samples were collected only during the final growing season (2025–2026), at four cutting times in January, March, April, and May. These samples were used to assess the effects of seeding combination and cutting time on forage productivity, root traits, soil fertility, and soil bacterial community structure. Among all groups, the 75% annual ryegrass + 25% Chinese milk vetch group (R75M25) exhibited the best overall performance, with cumulative yields after four cuttings of 17,274.21 kg·ha⁻¹ dry matter, 2717.02 kg·ha⁻¹ crude protein, and 12,220.46 kg·ha⁻¹ digestible dry matter. In addition, the R75M25 group maintained relatively high contents of alkali-hydrolyzable nitrogen, available phosphorus, and available potassium in soil. The top three phyla of soil samples were Proteobacteria, Actinobacteria, and Acidobacteria, with a total relative abundance of >60%. Among these, Proteobacteria showed the greatest relative abundance in monoculture, whereas the seeding combination had a reduced proportion of it. In addition, its relative abundance rose steadily with cutting time. At the genus level, RB41, Gemmatimonas, and Sphingomonas dominated the soil bacterial community. The seeding combinations did not alter soil bacterial alpha diversity. Cutting times significantly reduced the phylogenetic diversity index and drove the temporal differentiation of taxa such as Actinobacteria and Bacteroidetes. The inclusion of an appropriate proportion of Chinese milk vetch improved forage nutritional value while maintaining high biomass accumulation in southern China, with the R75M25 group showing the best overall performance in winter fallow fields. Full article

Gastric cancer (GC) remains a major global health challenge, ranking among the most lethal malignancies due to late diagnosis, high tumor heterogeneity, and limited treatment efficacy. The search for safer, nutritionally based adjuncts to conventional therapies is therefore a research priority. Donkey milk (DM), traditionally used as a hypoallergenic substitute for infants, is emerging as a functional food with remarkable bioactivity. Its composition closely resembles human milk, with high levels of bioactive proteins, a favorable polyunsaturated lipid profile, antioxidant vitamins, and immune-supportive minerals. Despite its growing nutraceutical appeal, the anticancer potential of DM in GC has not yet been explored. This study represents the first investigation of DM in human gastric adenocarcinoma (AGS) cells. Using increasing concentrations of whole DM (25–100%), a dose-dependent inhibition of cell viability and migration was observed. Mechanistic insights reveal that DM induces mitochondrial oxidative stress, disrupts cell cycle progression (S/G2 accumulation at 75%, G2 arrest at 100%), and unexpectedly triggers a pro-inflammatory gene signature suggesting stress-driven immunostimulation rather than canonical apoptosis. These findings highlight a non-classical, context-dependent cytotoxic mechanism that distinguishes DM from conventional pro-apoptotic agents. DM may represent a promising nutraceutical candidate for GC management, bridging traditional food resources with modern oncology. By inhibiting hallmark cancer traits while engaging unique immunological pathways, DM offers a sustainable, low-toxicity approach with translational potential. Future studies will focus on the characterization of active components, validation in organoid and animal models, and exploring clinical applications of DM-derived bioactive components in cancer prevention and therapy. Full article

Heat stress limits dairy production. The temperature-humidity index (THI), combining temperature and relative humidity, is widely used to assess heat stress. However, in Chinese Holstein cattle, the phenotypic responses of milk traits and genotype-environment interaction mechanisms under different THI conditions are understudied. Based on 63,334 records from 7240 cows (milk yield, fat percentage, protein percentage), matched with meteorological data and 113,297 SNPs, we employed a random-effects GWAS to examine SNP effects across a continuous THI gradient, comparing results with conventional, temperature-, and humidity-interaction GWAS. As THI increased, all traits declined with distinct patterns. Random regression GWAS identified 149 significant SNP × THI interactions (5 for MY, 86 for FP, 58 for PP), distributed across BTA5, BTA6, BTA14, and BTA20. Candidate gene annotation identified 52 candidate genes near significant SNPs, of which 50 core candidate genes were supported in both temperature and humidity GWAS. The most robustly supported core candidate genes include DGAT1, CPSF1, ABCG2, MGST1, VPS28, PPP1R16A, ZNF250, GRID2, KCNC2, and LOC787350—of which DGAT1, ABCG2, and MGST1 have been functionally validated in milk production traits, whereas others represent novel candidates requiring further investigation. Temperature and THI-GWAS showed high consistency, while humidity-GWAS detected both overlapping and specific signals. Incorporating THI as a continuous environmental gradient identifies environment-dependent regulatory signals not captured by conventional GWAS, providing candidate genes that may contribute to future breeding strategies after further validation. Full article

Background/Objectives: This study aimed to compare the effects of two distinct dietary protein sources, soybean meal (SBM, 454 g CP/kg dry matter [DM]) and fermented protein source (FPS, 635 g CP/kg DM), on milk yield (MY), milk quality traits, and serum biochemistry in crossbred dairy cows. Methods: This study employed a randomized complete block design with four groups (n = 6 per group): Control (120 g/kg SBM), FPS30 (30 g/kg FPS and 75 g/kg SBM), FPS40 (40 g/kg FPS and 60 g/kg SBM), and FPS50 (50 g/kg FPS and 45 g/kg SBM). Results: After 66 days (21-day adaptation period and 45-day feeding trial), DM intake, milk protein content, and milk density did not differ significantly across groups. However, MYs were significantly higher in the FPS50 group (p = 0.043). Additionally, milk fat (p = 0.021), DM (p = 0.013), solids-non-fat (SNF, p = 0.047), and lactose content (p = 0.007) were significantly higher in the FPS groups. Although serum biochemistry did not differ across groups on day 0, blood urea nitrogen (BUN, p = 0.044) and serum Ca (p = 0.041), P (p = 0.039), and Mg (p = 0.041) concentrations were significantly lower in the FPS groups on day 66. Moreover, FPS intake correlated positively with MY (R = 0.680), milk DM (R = 0.706), fat (R = 0.665), SNF (R = 0.566), lactose content (R = 0.653), and fat-to-protein ratio (R = 0.507) and negatively with milk density (R = −0.429) and mineral content (R = −0.271). Conclusions: These findings indicate that FPS is effective in increasing productivity and improving/maintaining milk quality traits in cows fed diets substituting specific amounts of SBM with FPS. The induced reduction in BUN can be interpreted as increased protein utilization. Full article

Glycans attached to host glycoproteins play an important role in regulating oral microbial colonization and maintaining community balance. Our previous studies revealed that children exhibit lower levels of α2-3 sialylated glycan structures (SAα2-3Gal) than adults, raising the possibility that this age-associated glycan deficiency contributes to the heightened cariogenicity of Streptococcus mutans. In this study, sialylated glycoproteins (Sia-GP) and corresponding desialylated controls (DeSia-GP and α2,3-DeSia-GP) were prepared from bovine milk-derived glycoproteins to investigate the functional contribution of SAα2-3Gal. Their effects on S. mutans were evaluated by assessing bacterial growth, acid production, biofilm formation and extracellular polysaccharide synthesis, while a human oral keratinocytes (HOK cells) infection model was used to examine epithelial cell viability, wound healing, and infection-associated inflammatory responses. The results showed that Sia-GP exerted only a transient inhibitory effect on early bacterial growth without affecting final biomass, but significantly attenuated acidogenic activity, biofilm formation, and extracellular polysaccharides production in a concentration-dependent manner. These inhibitory effects were markedly attenuated following removal of α2-3-linked sialic acids, demonstrating the essential role of SAα2-3Gal. In addition, Sia-GP alleviated S. mutans-induced cellular damage in HOK cells by improving cell viability, colony formation, and migration, while suppressing infection-associated inflammatory signaling. Collectively, these findings demonstrate that SAα2-3Gal effectively limits multiple virulence traits of S. mutans and attenuates S. mutans-induced damage in oral epithelial cells. This study provides mechanistic insights into glycan-mediated regulation of host–microbe interactions and suggests that the naturally low abundance of SAα2-3Gal in children may increase their susceptibility to S. mutans infection and caries development. Full article

The increasing demand for plant-based beverages as alternatives to dairy milk requires rapid and reliable methods to assess their composition and authenticity. This study investigated the feasibility of mid-infrared (MIR) and near-infrared (NIR) spectroscopy for classifying plant-based beverages and predicting their nutritional profile. A total of 57 commercial beverages from five categories (oat, almond, soybean, rice, and coconut) were analyzed. Canonical discriminant analysis was used to discriminate among beverage categories, and modified partial least-squares regression models were developed using reference chemical analyses and spectral data to predict protein, fat, sugars, ash, acidity traits, minerals, and amino acid composition. Both MIR and NIR successfully discriminated among the five beverage categories. Quantitative prediction models were generally more accurate with MIR than with NIR. The most robust MIR models were obtained for protein, fat, glucose, ash, and selected minerals (P and K), reaching accuracy levels suitable for quality-control applications. Protein was predicted with excellent accuracy by both technologies. The most robust prediction models were achieved for amino acid composition, with all amino acids except phenylalanine showing satisfactory predictive performance, particularly with MIR spectroscopy. In conclusion, these results demonstrate the feasibility of infrared spectroscopy for the authentication and compositional assessment of plant-based beverages. In particular, MIR spectroscopy showed considerable potential for integration into routine quality-control workflows, similar to those currently implemented for dairy milk analysis. Full article

Lactation imposes substantial metabolic demands on mares, and milk composition is a major determinant of neonatal development. Although β-hydroxy-β-methylbutyrate (HMB) can regulate protein turnover and energy metabolism in several livestock species, its role in the lactation-growth axis of equids remains insufficiently defined. This study evaluated maternal HMB-Ca supplementation in lactating Yili mares, focusing on milk yield measured during a standardized five-session daytime collection schedule, calculated milk-component output during that schedule, foal growth, and day-30 serum and milk metabolomic profiles. Maternal HMB-Ca supplementation was associated with greater milk yield at day 30 and with greater foal average daily gain during early lactation. To reduce over-interpretation of pathway enrichment alone, we performed a structured phenotype-metabolite correlation analysis. First, the day-30 milk-yield endpoint was correlated with serum differential metabolites; second, the serum features showing strong correlations with this endpoint were compared with milk differential metabolites; third, these serum features were related exploratorily to foal body weight and ADG. This analysis identified 26 serum features with |rho| ≥ 0.60 and nominal p < 0.05 for milk yield, 15 of which met FDR q < 0.10. Several of these features showed annotation-level overlap with the milk differential metabolome and exploratory associations with early foal growth traits. These findings support candidate serum-milk-growth metabolic links accompanying improved lactation performance, but they do not establish a causal pathway. Full article

The Mugalzhar horse is an important native breed of Kazakhstan, valued for its adaptability, milk production, and meat productivity under extensive pasture-based management. This study evaluated the relationships among first-lactation milk yield, productive longevity, lifetime milk production, growth, morphometric traits, and milk composition in the Mugalzhar horse breed using data from 100 mares with complete lifetime production records, 108 adult mares and 12 stallions for morphometric evaluation, and 68 foals (35 colts and 33 fillies) for growth analysis. The study was conducted on Mugalzhar horses maintained at the “Senim” farm in the Turkestan region of Kazakhstan. Morphometric measurements of adult horses, growth dynamics of foals from birth to 18 months of age, milk productivity records, productive longevity indicators, and milk composition data were analyzed. PCA, Pearson correlation analysis, and HCA were applied to assess relationships among productive and compositional traits. Adult stallions and mares closely conformed to breed standards, with stallions exceeding mares by approximately 7.8% in live weight. Foals exhibited intensive postnatal growth, with live weight increasing 6.8–6.9-fold between birth and 18 months of age. Milk yield increased from 722.3 kg during the first lactation to 986.9 kg during the fifth lactation before declining in later lactations, whereas milk composition remained relatively stable. Moderate-to-high first-lactation milk yield groups (G3–G4) achieved the greatest lifetime milk production (24,961–25,997 kg), longest productive life (7.9–8.5 years), and highest number of completed lactations (6.6–6.9). PCA revealed two major biological gradients representing productivity and longevity, while HCA identified G3–G4 as the most favorable production cluster. Milk fat and protein concentrations were negatively associated with milk yield traits. Moderate first-lactation milk yield was associated with the greatest lifetime productivity and longest productive herd life, whereas extremely high first-lactation milk yield was not associated with superior lifetime performance. These findings suggest that first-lactation milk yield may be considered together with longevity and other functional traits in future breeding programs for Mugalzhar horses; however, the results should be interpreted in light of the observational design of the present study. Full article