Identification and quantification of goat milk adulteration using mid-infrared spectroscopy and chemometrics.

The fraudulent adulteration of goat milk with cheaper and more available milk of other species such as cow milk is occurrence. The aims of the present study were to investigate the effect of goat milk adulteration with cow milk on the mid-infrared (MIR) spectrum and further evaluate the potential of MIR spectroscopy to identify and quantify the goat milk adulterated. Goat milk was adulterated with cow milk at 5 different levels including 10%, 20%, 30%, 40%, and 50%. Statistical analysis showed that the adulteration had significant effect on the majority of the spectral wavenumbers. Then, the spectrum was preprocessed with standard normal variate (SNV), multiplicative scattering correction (MSC), Savitzky-Golay smoothing (SG), SG plus SNV, and SG plus MSC, and partial least squares discriminant analysis (PLS-DA) and partial least squares regression (PLSR) were used to establish classification and regression models, respectively. PLS-DA models obtained good results with all the sensitivity and specificity over 0.96 in the cross-validation set. Regression models using raw spectrum obtained the best result, with coefficient of determination (R2), root mean square error (RMSE), and the ratio of performance to deviation (RPD) of cross-validation set were 0.98, 2.01, and 8.49, respectively. The results preliminarily indicate that the MIR spectroscopy is an effective technique to detect the goat milk adulteration with cow milk. In future, milk samples from different origins and different breeds of goats and cows should be collected, and more sophisticated adulteration at low levels should be further studied to explore the potential and effectiveness of milk mid-infrared spectroscopy and chemometrics.

Supporting traceability and biosecurity in the sheep and goat industries in NSW: understanding barriers to implementing electronic identification.

Efficient traceability is paramount for Australia's biosecurity system and market access. Electronic identification (eID) offers higher traceability performance than that achieved with visual and mob-based identification used for the sheep and goats National Livestock Identification System (NLIS). The current study aims to gain an understanding of the barriers and motivations of using eID for NLIS sheep and goats in New South Wales (NSW) and to provide recommendations to support the transition to eID. A social research study using a mixed-methods approach was used through semi-structured interviews and a cross-sectional epidemiological and behavioural study among sheep and goat producers. The COM-B behaviour change model based on capabilities, opportunities and motivations was used as a framework for the study. A total of 269 participants informed this study: 25 interviews were conducted with government, industry and private stakeholders, and 184 and 58 sheep and goat producers participated in the cross-sectional study, respectively. The study identified poor understanding of the purpose and importance of NLIS among producers, with over two-thirds not supporting eID implementation. The main barriers identified to the eID implementation were practical, including costs, technology quality and increased workload. Attitudinal, behavioural and knowledge barriers, such as the perception of the current system providing efficient traceability and the perceived lack of benefits of eID were also identified. This study provides an in-depth analysis of practices and perceptions of stakeholders and producers on sheep and goat traceability and recommendations to address barriers identified, based on education and appropriate behavioural and technical support.

Influence of tailing dust contamination in drinking water on the health status of goats in subtropical Regions.

The contamination of river systems by tailing dust remains a constraint to goat productivity in communal farming systems. A cross-sectional study was conducted to investigate how resource-limited households in subtropical regions assessed the effects of tailing dust contamination in drinking water on the health status of goats. In a study conducted in the Ba-Phalaborwa Local Municipality, 200 households from two villages were randomly selected and interviewed using a questionnaire. Forty-eight percent (n = 96) of the households were located in contaminated areas, while 52% (n = 104) were from uncontaminated areas. The study found that poor water quality, caused by tailing dust contamination, as well as a high incidence of diseases, were key factors affecting goat productivity. Water contamination was most severe during the hot and cool dry seasons. It was also noted that goats rely on freshwater as their primary source of supplemental water during dry seasons. Urine colour, oedema of the eyelids, and kid survival were indicators for assessing the health status of goats. Nominal binary logistic regression revealed that water contamination was 2.96 more likely to be reported by youth compared to elderly members. Farmers who received informal education were 37 times more likely to report contamination than those who received formal education. High kid mortality as a health status indicator was 50 times less likely to be reported in uncontaminated areas. Intervention strategies for reducing the adverse health effects of tailing dust in contaminated areas should focus primarily on the health of goats during dry seasons.

Genetic characterization of cashmere goat (Capra hircus) populations in Mongolia.

Objective: Characterization studies of the phenotypic and genetic diversity of Mongolian goats are limited, despite several goat breeds being registered in the country. This study aimed to evaluate the phenotypic and genetic diversity of 14 cashmere goat populations in Mongolia, consisting largely of identified goat breeds. Methods: Body weight, cashmere quality, and coat color were the phenotypic traits considered in this study. A linear model was used to fit body weight and cashmere traits, and least squares means (LSMs) were estimated for the region and location classes. Genetic diversity and structure were assessed using a goat 50K SNP array. Results: The studied populations exhibited greater phenotypic diversity at the regional level. A very small overall differentiation index (Fst: 0.017) was revealed by Wright's Fst and a very small overall inbreeding index (F ROH1 :0.019) was revealed based on runs of homozygosity. Genetic clustering of populations by principal components showed large variances for the two goat populations of the Russian admixture (Gobi Gurvan Saikhan and Uuliin Bor), and smaller but differentiated clusters for the remaining populations. Similar results were observed in the admixture analysis, which identified populations with the highest (Govi Gurvan Saikhan and Uuliin Bor) and lowest (Tsagaan Ovoo Khar) exotic admixtures. A genomewide association study (GWAS) of body weight and cashmere traits identified a few significant variants on chromosomes 2, 4, 5, 9, and 15, with the strongest variant for cashmere yield on chromosome 4. The GWAS on coat color yielded nine significant variants, with the strongest variants located on chromosomes 6, 13, and 18 and potential associations with KIT, ASIP, and MC1R genes. These signals were also found in other studies on coat color and patterns in goats. Conclusion: Mongolian cashmere goats showed relatively low genetic differentiation and low inbreeding levels, possibly caused by the traditional pastoral livestock management system and the practice of trading breeding bucks across provinces, along with a recent increase in the goat population. Further investigation of cashmere traits using larger samples and alternative methods may help identify the genes or genomic regions underlying cashmere quality in goats.

Proteomic and Transcriptomic Profiling Revealed Vital Molecular Events in the Transition from Goat Colostrum to Mature Milk.

As an important nutrient source in large areas of the world, goat milk is favored by more and more consumers; however, the composition, nutritional value, and regulation mechanism of goat milk are not fully characterized. Mammary gland development is as important as detailed annotation of protein composition to address the physiological and nutritional values of goat milk. In the present study, 4353 colostrum and mature goat milk proteins were identified. The abundance of 118 proteins was significantly different between colostrum and mature milk proteins. Our results indicate that the milk protein changes were associated with a network of mammary gene expression changes; importantly, the prime factors include enhanced mammary growth/development, decreased protein translation, attenuated protein folding, and lower lip/carbohydrate metabolism. The present study provides insights into the changes in mammary metabolisms during the transition from colostrum to mature milk, which can help deeply explore the difference and regulation mechanism of active milk protein in colostrum and mature milk and provide references for the identification and functional study of bioactive milk proteins in colostrum.

Molecular characterization of Peste des petits ruminants virus (PPRV) in sheep and goats and risk factors associated with it in selected districts of Khyber Pakhtunkhwa-Pakistan.

BACKGROUND: Peste des Petits Ruminants (PPR) is an economically significant transboundary viral disease of sheep and goats caused by the PPRV virus, affecting annual losses of 1.45-2.10 billion US dollars globally. We designed the current study to evaluate the positive cases, molecular characterization, phylogenetic analysis, and risk factors correlated with the disease in various districts of Khyber Pakhtunkhwa, Pakistan, with the aim of contributing to these strategies. METHODS AND RESULTS: A total of 384 samples from three selected districts, i.e., Peshawar, Charsadda and Chitral (n = 128 each), were collected, and the virus was investigated by using the sandwich ELISA, while the N gene of the virus was used as a target for molecular detection via RT-PCR. The confirmed samples were then sequenced, and phylogenetic analysis was performed. According to our findings, the highest positive cases was found in district Peshawar (50.87%), followed by Charsadda and Chitral (24.56%), respectively, while risk factor analysis showed that certain categories, such as species, sex, and age less than two years, have higher risk (P < 0.05) in contrast to their respective categories. Furthermore, sequencing and phylogenetic analysis of representative samples showed that the PPRV strains in the current study clustered in lineage IV, which is circulating in the small ruminant population of Asia, the Middle East, and African countries. Comparative residue analysis highlighted the mutation by representing 242 variable sites out of 371 locations. CONCLUSIONS: PPRV has foremost importance in Pakistan because the virus was detected in a considerable number of samples, and most of which were sourced from subsidiary areas where veterinary services are not prioritized.

Residue depletion profiles and withdrawal intervals of florfenicol and its metabolite florfenicol amine in plasma and milk of lactating goats after repeated subcutaneous administrations.

Florfenicol is a broad-spectrum and bacteriostatic antibiotic with a time-dependent killing action. It is commonly used to treat respiratory diseases in goats in an extra-label manner. This study aimed to determine the plasma pharmacokinetics and milk residue depletion profiles and calculate the milk withdrawal interval (WDI) of florfenicol and its main metabolite florfenicol amine in lactating goats. Five healthy lactating goats were administered with 40 mg/kg florfenicol by subcutaneous injection, twice, 96 h apart. Plasma and milk samples were collected up to 864 h post the first injection. Non-compartmental analysis was used to estimate the plasma pharmacokinetic parameters. Milk WDIs were calculated using the U.S. Food and Drug Administration (FDA) method and European Medicines Agency (EMA) method. A Monte Carlo simulation was performed to generate simulated data for five virtual animals to meet the data requirement of the FDA method. The calculated milk WDIs based on florfenicol, florfenicol amine, and the combined (the sum of florfenicol and florfenicol amine) were 720.28, 690.45, and 872.69 h after the last injection using the FDA method. In conclusion, this study improves our understanding on the plasma pharmacokinetics and milk residue depletion kinetics of florfenicol and florfenicol amine in lactating ruminants after subcutaneous injections.

The influence of breed's difference on the hemogram and biochemistry profile of goats raised in Libya during winter.

Background: In Libya, goats are considered as one of the most important livestock in which there are many breeds of goats such as Kurdi, Hegazi, Cyprus, Shami, and Mahali. A little hematological and biochemical information is known on these goat breeds raised in Libya. Aim: The main purpose was to verify the effect of breed variations on the hematological and biochemical parameters of goat breeds raised in Libya. Methods: The blood samples were collected in the winter season from 70 clinically healthy animals of different breeds for hematology and biochemical analysis. Results: Regarding the effect of breeds on blood hematology, significantly higher number (p < 0.01) of Mid cells were found in Hegazi (3.12 ± 1.30 × 103/µl) and Cyprus (2.41 ± 1.69 × 103/µl) when compared to other goat's breeds including Kurdi (2.28 ± 0.95 × 103/µl), Shami (1.90 ± 0.84 × 103/µl), and Mahali (1.37 ± 0.88 × 103/µl). Moreover, the percentage of Mid cells was highest in Hegazi (22.34% ± 9.40%), 11.40% ± 4.34%), followed by Kurdi (17.71% ± 8.16%), Cyprus (15.84% ± 8.33%), Shami (13.38% ± 5.76%), and lowest in Mahali (11.40% ± 4.34%). There are significant differences (p < 0. 01) in hemoglobin (Hb), red blood cells (RBCs), hematocrit (HCT), mean corpuscular hemoglobin (MCH), red cell width distribution-coefficient of variation (RDW-CV, %), and red cell distribution width-standard deviation (RDW-SD, fl) values among all different breeds of Libyan goats. The results of biochemistry displayed significant changes among the studied goats' breeds, where the highest serum alanine aminotransferase (ALT, U/L) activity was observed in Cyprus (17.81 ± 7.95) and Shami (17.27 ± 1.15) compared with Hegazi (15.31 ± 6.13) and Mahali (14.60 ± 0.46), while Kurdi breed (11.68 ± 7.95) showed the lowest ALT activity. Moreover, significant differences (p < 0.01) in serum lactate dehydrogenase (LDH, U/l), total and direct bilirubin, glucose (GLU), creatinine, lipid profile, and electrolyte levels were recorded among different breeds used in this study. On the other hand, non-significant variations (p >0. 05) are reported in aspartate aminotransferase (U/l), alkaline phosphatase (U/l), total protein (g/dl), albumin (g/dl), urea and magnesium (Mg, mg/dl) levels. Conclusion: These results showed a significant difference between some blood parameters of goat breeds raised in Libya. This could aid veterinarians in interpreting laboratory data properly in order to improve the management and conservation of those breeds.

Suspected Case of Persistent Thiamin Deficiency in a Hand-Reared Caribou Calf.

Hand-reared animals are invaluable and irreplaceable in studies of wildlife nutrition. Hand-rearing protocols provide insights into dietary and training programs, but less information is available on disease management. In young ruminants, thiamin (Vitamin B1) deficiency is a particularly important disease that is treatable early in the disease process, but otherwise can be fatal. In this husbandry report, we describe a case of suspected thiamin deficiency in a hand-reared calf (Rangifer tarandus granti) that resulted in clinical signs of polioencephalomalacia and persisted for > 3 months. We attempted treatment with thiamin injections; injections resolved clinical signs of disease, but clinical signs of disease returned once injections stopped. After > 2 months of thiamin injections, the caribou calf received a rumen transfaunation from a fistulated moose (Alces alces) housed at the same facility. Following rumen transfaunation, we did not observe signs of thiamin deficiency. The calf outgrew other females in the cohort initially and shows no long-term effects of thiamin deficiency or polioencephalomalacia. We recommend rumen transfaunation when thiamin deficiency is suspected and does not resolve with thiamin injections alone. We also recommend heterospecific donors if conspecific donors are not available.

[Development and preliminary application of a multiplex PCR assay for simultaneous detection of four intestinal parasites in goats].

OBJECTIVE: To develop a multiplex PCR assay for simultaneous detection of four intestinal parasites, including Giardia duodenalis, Cryptosporidium parvum, Enterocytozoon bieneusi and Moniezia, and to preliminarily evaluate its detection efficiency. METHODS: Four pairs of specific primers were designed based on the conserved sequences of the corresponding genes of G. duodenalis (GenBank accession number: XM_001710026.2), C. parvum (GenBank accession number: XM_626998.1), E. bieneusi (GenBank accession number: KJ719492.1) and Moniezia (GenBank accession number: OM296991.1) retrieved from the GenBank database, and a multiplex PCR assay for simultaneous detection of G. duodenalis, C. parvum, E. bieneusi and Moniezia was developed and optimized. A total of 116 fresh goat stool samples were collected from four goat farms in Zhanjiang City, Guangdong Province during the period from October to December 2022, including 96 samples used for evaluating the detection efficacy of the multiplex PCR assay, and 20 samples as baseline controls for sample testing. Genomic DNA extracted from 96 goat stool samples was tested using the single-target PCR assay and the developed multiplex PCR assay, and the sensitivity, specificity, positive predictive value, and negative predictive value of the multiplex PCR assay were evaluated for detection of G. duodenalis, C. parvum, E. bieneusi and Moniezia DNA in goat stool samples with the single-target PCR assay as the gold standard. RESULTS: The multiplex PCR assay developed in this study allowed simultaneous amplification of specific gene fragments of G. duodenalis, C. parvum, E. bieneusi and Moniezia, with 1 400, 755, 314 bp and 585 bp in sizes, respectively, and the detection limit was 102 and higher copies of parasite DNA clones, while the multiplex PCR assay was negative for gene amplification of Schistosoma japonicum, Fasciola hepatica, Echinococcus granulosus, Blastocystis hominis and Homalogaster paloniae. Single-target PCR assay and the developed multiplex PCR assay were employed to test DNA samples extracted from 96 goat stool samples, and single-target PCR assay tested positive in 40 goat stool samples (41.67%), including 39 positive samples tested with the multiplex PCR assay, with a mean coincidence rate of 97.50% (39/40). The multiplex PCR assay tested positive for G. duodenalis DNA in 26 goat stool samples (27.10%), C. parvum DNA in 22 samples (22.90%), E. bieneusi DNA in 24 samples (25.00%), and Moniezia in 9 samples (9.40%), which was consistent with the detection using the single-target PCR assay. The sensitivity, negative predictive value, and positive predictive value of the multiplex PCR assay were 96.15%, 95.83%, 100.00% and 100.00%, 98.90%, 98.92%, 100.00% and 100.00%, 100.00%, 100.00%, 100.00% and 100.00% for detection of G. duodenalis, C. parvum, E. bieneusi and Moniezia DNA in goat stool samples, respectively, if the single-target PCR assay served as the gold standard. CONCLUSIONS: A highly sensitive and specific multiplex PCR assay has been developed for simultaneous detection of G. duodenalis, C. parvum, E. bieneusi and Moniezia in goats, which is suitable for rapid, large-scale screening of intestinal parasites in sheep stool samples.

Chromosome-level dairy goat genome reveals the regulatory landscape of lactation.

Goat milk is rich in various nutrients that are beneficial for human health. However, the genomic evolution and genetic basis underlying the nutritional value and unique flavor formation in dairy goats remain poorly understood. In the present study, we generate a chromosome-level genome assembly for dairy goats comprising 2.63 Gb with a contig N50 of 43 Mb and a scaffold N50 of 101 Mb. Genome quality comparisons revealed that the dairy goat genome has higher integrity and continuity than the published goat and sheep genomes. The identification of genes under positive selection in dairy goats highlights potential candidates to explain their high milk production. Comparative genomic analysis elucidates the adaptive evolutionary mechanisms of dairy goats such as strong disease resistance, broad adaptability, and unique milk flavor. Moreover, we demonstrate the conservation of the lactation gene network and identify new potential regulators associated with lipid metabolism. Additionally, we establish the regulatory landscape of lactation for the first time in dairy goats, revealing its unique gene regulatory characteristics. Hence, our study not only provides the first chromosome-level reference genome for dairy goat, but also offers potential research directions for dairy production and genetic improvement.

Transcriptomic analysis reveals molecular insights into lactation dynamics in Jakhrana goat mammary gland.

BACKGROUND: Goat milk is gaining popularity as a superior alternative to bovine milk due to its closer resemblance to human milk. Understanding the molecular processes underlying lactation is crucial for improving milk quality and production in goats. However, the genetic mechanisms governing lactation in goats, particularly in indigenous breeds like the Jakhrana, remain largely unexplored. RESULTS: In this study, we performed a comprehensive transcriptomic analysis of Jakhrana goat mammary glands during early and late lactation stages. We isolated milk somatic cells and conducted RNA sequencing, followed by transcript quantification and mapping against the ARS1.2 Capra hircus reference assembly. Our analysis identified differentially expressed genes (DEGs) and commonly expressed genes (CEGs) across the lactation phases. Early lactation showed enrichment of genes encoding antimicrobial peptides and lubrication proteins, while late lactation exhibited heightened expression of genes encoding major milk proteins. Additionally, DEG analysis revealed upregulation of pivotal genes, such as the ABC transporter gene MRP4, implicated in modulating milk composition and quality. CONCLUSION: Our findings provide insights into the genetic mechanisms underlying lactation dynamics in the Jakhrana goat. Understanding these mechanisms could help in improving milk production and quality in goats, benefiting both the dairy industry and consumers.

Machine learning-based early prediction of growth and morphological traits at yearling age in pure and hybrid goat offspring.

The purpose of this study was to evaluate the performance of various prediction models in estimating the growth and morphological traits of pure Hair, Alpine × Hair F1 (AHF1), and Saanen × Hair F1 (SHF1) hybrid offspring at yearling age by employing early body measurement records from birth till 9th month combined with meteorological data, in an extensive natural pasture-based system. The study also included other factors such as sex, farm, doe and buck IDs, birth type, gestation length, age of the doe at birth etc. For this purpose, seven different machine learning algorithms-linear regression, artificial neural network (ANN), support vector machines (SVM), decision tree, random forest, extra gradient boosting (XGB) and ExtraTree - were applied to the data coming from 1530 goat offspring in Türkiye. Early predictions of growth and morphological traits at yearling age; such as live weight (LW), body length (BL), wither height (WH), rump height (RH), rump width (RW), leg circumference (LC), shinbone girth (SG), chest width (CW), chest girth (CG) and chest depth (CD) were performed by using birth date measurements only, up to month-3, month-6 and month-9 records. Satisfactory predictive performances were achieved once the records after 6th month were used. In extensive natural pasture-based systems, this approach may serve as an effective indirect selection method for breeders. Using month-9 records, the predictions were improved, where LW and BL were found with the highest performance in terms of coefficient of determination (R2 score of 0.81 ± 0.00) by ExtraTree. As one of the rarely applied machine learning models in animal studies, we have shown the capacity of this algorithm. Overall, the current study offers utilization of the meteorological data combined with animal records by machine learning models as an alternative decision-making tool for goat farming.

Caprine Paratuberculosis Seroprevalence and Immune Response to Anti-Mycobacterium avium Subspecies paratuberculosis Vaccination on the Canary Islands, Spain.

Paratuberculosis (PTB), caused by Mycobacterium avium subspecies paratuberculosis (MAP), is a chronic disease with economic impact on ruminant farming worldwide. The Canary Islands count with the fourth largest goat population in Spain and are "officially free" of bovine tuberculosis. Twelve farms were included with 2774 serum samples tested by an enzyme-linked immunosorbent assay (ELISA) for detection of anti-MAP antibodies in two sessions. In the first session, an overall apparent prevalence of 18.4% (2.5% up to 61.1%) was obtained. Farms with prevalences (0-10%], (10-20%] and >20% were identified, with differences in seroconversion in the same prevalence group between farms and age ranges. Non-vaccinated (nV) and vaccinated (V) animals were included in the second sampling session. Higher levels of antibodies were detected in V animals older than 12 months, with considerable variations between age ranges and farms. Our results describe the current PTB status of the Canary Islands' goat farming. Furthermore, new insights on the effect of the farm prevalence on seroconversion in V animals are provided, although further studies are needed to evaluate the multiple factors affecting the immune response to anti-MAP vaccination.

Efficacy of Carbonate Buffer Mixture in Preventing Hoof Lamella Injury Associated with Subacute Ruminal Acidosis in Dairy Goats.

Subacute ruminal acidosis (SARA) is a prevalent metabolic disorder in highly productive dairy cows that results in serious issues, including hoof lamellar injuries. This study aimed to investigate the efficacy of a carbonate buffer mixture (CBM) in preventing hoof lamella injury in dairy goats, a species also susceptible to SARA due to similar feeding practices over a 17-week period. Twenty-four healthy dairy goats were randomly assigned to three groups: control, SARA, and CBM groups. The control group received a standardized diet, whereas the SARA and CBM groups were subjected to a high-grain feeding regimen to induce SARA. The CBM group received a daily supplement of 10 g CBM mixed with their diet. Clinical assessments, including body temperature, rumen pH, inflammatory markers, matrix metalloproteinases (MMPs), and hoof lamellar injuries, were monitored throughout the study. The results showed that the CBM group maintained a more stable rumen pH and had lower levels of inflammatory markers than the SARA group did. The incidence of hoof lamellar injury was slightly lower in the CBM group. These findings suggest that long-term CBM supplementation may mitigate SARA-associated hoof lamella injury in dairy goats by regulating the rumen environment, fostering the growth of healthy bacterial communities, and by reducing the production of harmful metabolites. The use of CBM as a dietary supplement may have significant implications in improving the health, welfare, and productivity of dairy animals.

Genomic profiling of selective sweeps through haplotype differentiation unravelled genes associated with production and reproduction traits in Indian goat breeds.

A comprehensive genomic scan of selective sweeps was conducted in autochthonous Attappady Black and improved dual-purpose Malabari goat breeds in south India. High-throughput single nucleotide polymorphism (SNP) marker data, obtained through Illumina goat SNP50 BeadChip genotyping of 48 goats (24 each of Attappady Black and Malabari goats), were utilized for the analysis. Selection signature analysis, employing hapFLK analysis based on haplotype differentiation, identified seven significant sweep regions (p < 0.005). Notably, one of these regions encompassed the genomic area housing the casein cluster and quantitative trait loci associated with milk production on chromosome 6. Gene ontology enrichment analysis of 166 putative selective genes associated with these sweep regions revealed 13 significantly over-represented Panther pathways (p ≤ 0.05), including the TGF-beta signalling pathway and GNRHR pathway. The selective sweeps detected in this study contributed significantly to the phenotypic divergence observed between Attappady Black and Malabari goats in south India.

Exploring body morphometry and weight prediction in Ganjam goats in India through principal component analysis.

The body conformations of 262 adult Ganjam goats were subjected to principal component analysis (PCA) with 11 morphometric variables. The results were then used to predict the mature body weight of the goats. Most of the traits were positively correlated, and the correlations were statistically significant. The three main components that the PCA recovered explained 76.12% of the variation in body morphometry overall. The first component accounted for approximately 54.74% of the overall variation and described almost all the traits except ear length and tail length, as indicated by high component loadings. The second component accounted for approximately 11.48% of the variation, mostly accounting for the variation in tail length. The principal component accounted for 9.89% and mostly explained the variation in ear length. The communalities ranged between 0.557 (horn length) and 0.848 (chest circumference) for the first three extracted components. The highest percentage of variability in chest girth was explained by the first three principal components, whereas it was the lowest for the horn length. In the context of predicting body weight through stepwise regression analysis, nine primary variables accounted for 57.3% of the total variance in body weight. Conversely, utilizing the first principal component alongside six additional principal components as independent variables resulted in capturing 56.3% of the variation in the adult live weight of goats while maintaining model comparability with other pertinent parameters. PCA was used efficiently for body weight prediction from major morphometric traits of Ganjam goats addressing the multicollinearity issue.

Regulatory role of lncMD1 in goat skeletal muscle satellite cell differentiation via miR-133a-3p and miR-361-3p targeting.

Skeletal muscle satellite cells (SMSCs) are pivotal in skeletal muscle development and are influenced by numerous regulatory factors. This study focuses on the regulatory and functional mechanism roles of lncMD1, a muscle-specific long non-coding RNA, in the proliferation and differentiation of goat SMSCs. Employing in vitro cultured goat SMSCs, this study demonstrated that lncMD1, functions as a decoy for miR-133a-3p and miR-361-3p. This interaction competitively binds these microRNAs to modulate the expression of dynactin subunit 2 (DCTN2) and dynactin subunit 1 (DCTN1), thereby affects SMSCs proliferation and differentiation. These findings enhance the understanding of non-coding RNAs in goat SMSCs growth cycles and offer a theoretical foundation for exploring the molecular processes of goat skeletal muscle myogenic development.

Goat Milk Supplementation Modulates the Mitochondrial Metabolic Flexibility and Orexin-A Levels Influencing the Inflammatory Pattern in Rats.

Milk and its derivatives are included in a balanced diet of humans as excellent sources of proteins, vitamins, and essential minerals that are functional nutrients. Knowledge about the nutritional benefits or harms due to milk consumption has been expanding in recent years. We previously explored, in rodent models, the metabolic effects of isoenergetic intake of milk derived from cows, donkeys, or humans, while the impact of goat's milk intake has remained unexplored. The aim of this work was to investigate, in an animal model, the effects of dietary supplementation with goat's milk on energy homeostasis and inflammatory state, focusing on the modulation of mitochondrial functions in most metabolically active organs, such as skeletal muscle and the liver. In addition, we highlighted a link between nutrient intake, substrate metabolism, and the orexinergic system. Our results indicate that goat milk improves mitochondrial oxidative capacity and reduces inflammation and oxidative stress in both organs. Notably, goat milk lowers the circulating levels of Orexin-A, a neuropeptide that plays a crucial role in regulating peripheral energy balance and central nervous system mechanisms. These data provide the first evidence that the anti-inflammatory and antioxidant effects of goat milk are mediated by the modulation of mitochondrial functions and orexinergic signaling.