Twenty-four Wolaita local steers (270 ± 10kg) were blocked by body weight and randomly assigned into four dietary groups: native grass (Hyparrhenia rufa and Cynodon species) hay (GH), coffee leaf (CL), cassava chip (CC) and a haricot bean-maize mixture (HBM) for 96 days. Steer performance and key carcass and meat quality characteristics (pH, proximate composition, fatty acid (FA) profile and sensory quality) were measured. Data were analyzed by using a GLM of SAS for performance parameters, proximate composition, meat quality, FA composition and a mixed model of SAS for sensory attributes. Steers fed CL had lower (P<0.05) average daily gain than CC or HBM steers. Steers fed CC had lower (P<0.05) feed conversion ratio. Hot carcass weight and dressing percentage were not significant (P>0.05) between the CC and HBM diets. Muscle from steers fed on HBM had lower (P<0.05) pHu, higher (P<0.05) muscle protein and total fat. Muscle from steers fed on the CL diet had higher (P<0.01) saturated FA (C15:0, C17:0, C20:0, C22:0 and C24:0), compared to steers fed CC and HBM, but lower C12:0. Muscle from steers fed HBM had higher (P<0.01) C18:3n-6c, C20:3n-6, t10c12C18:2, C22:2 and C22:6n-3 than other diets. However, feeding HBM or CC decreased C18:3n3c, c9t11C18:2, C20:5n-3 while feeding HBM decreased C22:5n-3 (but not 22:6n-3). It is concluded that the supplementation of diets with CL, CC or HBM led to improved steer performance and also in overall acceptability of beef assessed by local panellists and reflected by a general improvement in specific sensory attributes.

This study examines the associations between linearly scored phenotypic traits and auction sales prices of young event horses in Ireland, aiming to identify key traits influencing market value. Data from 307 horses sold at public auctions (2022-2023) were analysed using regression analysis, binary optimisation, and Principal Component Analysis (PCA). Regression identified Head-neck Connection, Quality of Legs, Walk length of Stride, and Scope as highly significant predictors of sales price (p < 0.001), with Length of Croup, Trot Elasticity, Trot Balance, and Take-off Direction also significant (p < 0.05). Optimised regression reduced the number of relevant traits from 37 to 8, streamlining evaluation. PCA highlighted eight principal traits, including Scope, Elasticity, and Canter Impulsion, explaining 61.19% of variance in the first four components. These results demonstrate that specific conformation, movement, and athleticism traits significantly affect auction outcomes. The findings provide actionable insights for breeders and stakeholders, suggesting that targeted selection for high-impact traits could accelerate genetic progress and improve market returns. Furthermore, these traits could underpin the development of economic or buyer indices to enhance valuation accuracy and transparency, with potential application across equestrian disciplines to align breeding objectives with market demands.

Sale prices at auction significantly impact the economic return of sport horse production. This study aimed to determine factors associated with auction sales prices of sport horses at four maturity stages: foals, juveniles, young horses, and older horses. A total of 42,799 sales records from 2003 to 2022 were obtained from two Irish equine auction companies. A univariate regression model was used, and significant variables underwent multivariate analysis. Within each maturity category, factors associated with above-mean-priced horses differed from those associated with below-mean-priced horses. Foals registered in a studbook, sired by high-performance stallions based abroad, and sold to overseas markets were associated with a positive price effect. Juvenile stallions and females that were sold at Cavan sales to Irish buyers were associated with a positive price effect. Four-year-old stallions in the overall and above-mean categories were associated with positive price effects in the young horse category. Young horses registered in a studbook, 165-172 cm tall, and sold in November to overseas clients were associated with positive price effects. Horses not started under saddle were associated with positive price effects in overall and above-mean young horse groups. Positive price effects were also observed from older horses that had competed in training shows, were <10years and >165 cm tall and were sold abroad. Negative price effects were associated with horses over 10 years of age in this category. Analysing maturity and value segments gives breeders insights into price determinants, enabling them to optimise pricing strategies and improve profitability.

Background: Short-chain fatty acids (SCFAs) are essential metabolites which play an important role in biological functions such as energy homeostasis and immune function. However, duodenum, liver and serum have different biological functions, and SCFAs were also detected in these sites. This study aims to compare the SCFA composition of the liver, serum, and duodenum and estimate the correlation between SCFAs and residual feed intake (RFI) in broilers. Method: Broiler chickens from a commercial breeding paternal line were used in this study. The liver, serum, duodenum and cecum SCFA concentrations were detected through the LC-MS method. Cecum microbe was sequenced through the V4 region and annotated by the SLIVA_123 database. The co-occurrence networks were based on the Spearman correlations, and the bi-direction two-sample Mendelian randomisation method (TMR) was used to investigate the causal effect between SCFAs and RFI. Result: Liver, duodenum, and serum content had similar SCFA compositions. Compared to the other three sites, the cecum contains a variety of microbiota, as the different SCFAs are produced by microbiota. The causal investigation between SCFA with RFI were first investigated in this study. The bidirectional Mendelian randomisation results illustrated that RFI could have a causal effect on four cecum SCFAs. In contrast, there is no causal effect of cecum SCFAs on RFI disagreed with many nutritional trials, and the contradiction needs further investigation.

Milk production declines as dairy cows enter late lactation, resulting in reduced milk quality and negatively impacting milk processability, such as rennet coagulation time (RCT), milk pH and ethanol stability (ES), leading to seasonality issues for milk processors. Multispecies forages, containing grass, legume and herb species, require lower N inputs and are of interest to dairy farmers. However, little is known about the effect of grazing multispecies forages on milk processability characteristics in late lactation dairy cows. Forty-five autumn-calving dairy cows in late lactation were allocated to 1 of 3 grazing forages; perennial ryegrass (PRG; Lolium perenne), perennial ryegrass and white clover (Trifolium pratense) (PRGWC), and a 6 - species multispecies forage (MULTI) containing perennial ryegrass, timothy (Phleum pratense), white clover, red clover (Trifolium repens), chicory (Cichorium intybus) and plantain (Plantago lanceolata). Cows were allocated 12 kg DM grazed forage and supplemented with a grass - silage TMR and concentrate. Forage DMI was significantly lower for cows grazing PRG. Milk yield increased when cows grazed PRGWC (18.07 kg/d) and MULTI (17.84 kg/d) compared to PRG (16.08 kg/d). Milk RCT (mins) and ES (%) were unaffected by treatment. However, offering cows PRGWC and MULTI increased the concentration of C18:2 cis - 9, 12 and C18:3 cis - 9, 12, 15 in milk compared to PRG. Compared to PRG, grazing forages containing clover and herb species improved milk yield and beneficially altered milk fatty acid profile in late lactation dairy cows without negatively impacting milk processability.

The prophylactic supplementation of freshly calved multiparous cows with oral calcium supplements (bolus, drink, drench, paste) has increased in popularity in recent years. Oral calcium supplements are generally only effective for 12 hours, yet the high-risk period for hypocalcaemia in freshly calved multiparous cows is 48 hours post-partum. Therefore, a second application 12 hours post-partum is suggested by manufacturers, yet due to labour shortages on dairy farms, it is very common for the second application to not be carried out. The objectives of this study were to ascertain if a the administration of a single dose of the sustained release bolus (Cow Start Complete, Anchor Life Science, Co. Cork, Ireland) given to the cow at calving, could offer the combined benefits of elevated calcium status over the first 48 hours post-partum from a labour efficient single dose given at calving and also to evaluate if this enhanced calcium status could have a positive effect on daily rumination time and milk production yields in the first three months of lactation. The two groups consisted of an un-supplemented control (CON) group and a Cow Start Complete (CSC) group in which cows were given a single bolus dose at the point of calving. The CON group experienced a clinical milk fever (Blood Ca <1.5mmol/L) incidence rate of 13.3% compared to 0% for the CSC group. Cows given the CSC treatment had significantly (P<0.0001) higher total blood calcium levels (2.14 mmol/L) from the point of calving (0h) to 4 days post-partum (96h) compared to CON (1.98mmol/L), with significant increases at 12h (P<0.01), 24h (P<0.001) and 36h (P<0.01) post-partum. Rumination time for CSC cows (471mins/day) was significantly (P<0.05) higher during the first 14 days post-partum when compared to CON (434mins/day) group. Milk production was also significantly (P<0.01) higher for CSC cows (+1.8kg/day) than in CON cows during the first 90 days of lactation. These findings demonstrate that the convenience of giving a single dose of CSC at calving, can be combined with desired outcomes in a range of key benefits in freshly calved multiparous cows.

An experiment was conducted to compare the rumen fermentation and degradability of three forage treatments. A perennial ryegrass (PRG; Lolium perenne), perennial ryegrass and white clover (Trifolium pratense) (PRGWC) and multispecies forage (MULTI), containing two grass species; perennial ryegrass and timothy (Phleum pratense); two clover species; white clover and red clover (Trifolium repens); and two herb species; chicory (Cichorium intybus) and plantain (Plantago lanceolata), were compared. Six rumen fistulated lactating dairy cows were used in a replicated 3 x 3 Latin square experiment consisting of 3 periods lasting 21-days. Cows were allowed ad libitum access to fresh forage and offered 2.71 kg DM concentrate each day. During days 1 - 14 of each period, cows were acclimatized to dietary treatments before entering a 7 - day sampling period. Indwelling rumen pH probes were inserted into the rumen of each cow on day 15 and 16. Rumen fluid samples were taken on day 18 every 2 h for rumen volatile fatty acid and ammonia nitrogen (NH3-N) analysis. Forage dry matter (DM) and crude protein (CP) degradability was assessed via in sacco incubation beginning on day 19 of each period. Treatment had no effect on dry matter intake (DMI) or milk yield. There was no difference in mean rumen pH between treatments. The rumen pH of cows offered MULTI was below pH 6.0 for a higher percentage of time than the other treatments, however the concentration of acetic acid in the rumen of cows was similar between treatments. Effective degradability (ED) of DM was higher (P = 0.003) for MULTI (0.77) compared to PRG (0.68) and PRGWC (0.66). The soluble CP fraction of MULTI and PRGWC was significantly lower than that of PRG (P = 0.007), though PRGWC had the highest rumen ammonia concentration of all treatments (P = 0.002). MULTI had the highest ED and rate of DM degradation in the rumen, and lowest soluble CP of all treatments. Multispecies forages can support milk production in lactating dairy cows; however, care must be taken to ensure adequate dietary NDF due to the low fiber concentration and highly degradable nature of the forage.

The objective of this experiment was to assess the impact of forage type on the DMI and milk production of mid-late lactation dairy cows. Perennial ryegrass (Lolium perenne) (PRG), PRG and white clover (Trilfolium repens) (PRGWC) and multispecies forage containing PRG, timothy (Phleum pratense), WC, red clover (Trifolium pratense), chicory (Cichorium intybus), and plantain (Plantago lanceolata) (MULTI), were compared using 24 cows in a three-period Latin square changeover design experiment. Cows were acclimatized to dietary treatments for 14 days, before entering a 21-day sampling period. Animals were housed indoors throughout the experiment, with access to forage treatments via computerized feeding boxes that recorded daily forage fresh weight intake and feeding behavior. Forage was harvested using a zero-grazer and feed boxes filled throughout the day. Forage dry matter was determined daily and forage DMI subsequently calculated. Milk yield (MY) was recorded daily, with milk composition (fat, protein, lactose) measured weekly. Once per sampling period, blood and rumen samples were collected. The partitioning of dietary nitrogen into milk, feces and urine was assessed for 6-days in each sampling period. Data was analyzed in SAS using PROC MIXED and checked for normality using UNIVARIATE. Forage botanical composition changed from period 1 to period 2 and 3, leading to significant differences in chemical composition between periods. Despite this, dry matter intake was consistently higher (P <0.05) for MULTI (20.14 kg DM) and PRGWC (18.30 kg DM) compared to PRG (17.06 kg DM). Offering cows MULTI increased daily MY (21.20 kg/d; P <0.001) compared to PRG (20.28 kg/d) and PRGWC (20.19 kg/d). Cows offered PRG made fewer visits to the feed box (P <0.001) and had a reduced meal size (kg/visit) (P <0.001) compared to PRGWC and MULTI. Offering cows MULTI reduced UN concentration (%) by 20% compared to either PRG or PRGWC. Perennial ryegrass resulted in higher dietary nitrogen use efficiency (NUE) compared to PRGWC or MULTI, though this effect was not consistent between periods. These results show that multispecies forages can increase milk production when offered to cows housed indoors. However, despite MULTI resulting in a lower UN concentration, cows offered PRG had a higher dietary NUE, likely due to a lower N intake.

E thiopia has the largest livestock population in Africa, with nearly 73 million cattle, over 42.9 million sheep and 52.5 million goats, and 57 million chickens in 2020.Among these, 99.4% of the total cattle in the country are local breeds and the proportion of hybrid and exotic breeds is too small, at only 2.3% and 0.31%, respectively.While the percentage of beef cattle (i.e., cattle reared exclusively for meat) is about 1.2% (CSA, 2021).The sector contributed up to 40% of agricultural Gross Domestic Product (GDP), nearly 20% of total GDP, and 20% of national foreign exchange earnings in 2017 (Shapiro, 2017; World Bank, 2017).Livestock plays a significant role in the national economy, particularly in rural areas, by generating income for farmers, providing draught power, ensuring food security, and research

The objectives of this study were to evaluate the effects of (1) protein supplementation strategy, (2) cow genotype and (3) an interaction between protein supplementation strategy and cow genotype on milk production and nitrogen (N) utilisation efficiency (milk N output/ total dietary N intake × 100; NUE) in late-lactation, spring-calving grazing dairy cows. A 2 × 2 factorial arrangement experiment, with two feeding strategies [13% (lower crude protein; LCP) and 18% CP (higher CP; HCP) supplements with equal metabolisable protein supply] offered at 3.6 kg dry matter/cow perday, and two cow genotype groups [lower milk genotype (LM) and higher milk genotype (HM)], was conducted over 53 days. Cows were offered 15 kg dry matter of grazed herbage/cow/day. Herbage intake was controlled using electric strip wires which allowed cows to graze their daily allocation-only. There was an interaction for herbage dry matter intake within cows offered HCP, where higher milk genotype (HM) cows had increased herbage dry matter intake (+0.58 kg) compared to lower milk genotype (LM) cows. Offering cows LCP decreased fat + protein yield (-110 g) compared to offering cows HCP. Offering cows LCP decreased the total feed N proportion that was recovered in the urine (-0.007 proportion units) and increased the total feed N proportion that was recovered in the faeces (+0.008 proportion units) compared to offering cows HCP. In conclusion, our study shows that reducing the supplementary CP concentration from 18% to 13% resulted in decreased milk production (-9.8%), reduced partitioning of total feed N to urine (-0.9%) and increased partitioning of total feed N to faeces (+14%) in late lactation, grazing dairy cows.

Abstract Background This study investigated the factors relating to pasture chemical and fatty acid (FA) composition that influence the milk fat percentage of spring calving, grazing dairy cows. The relationship between milk fat percentage and FA composition of the milk in these herds was also investigated. Results Milk protein percentage, milk casein percentage and cheddar cheese yield were increased in milk from HMF herds. Cows from LMF herds did not have negatively altered milk processability including rennet coagulation time (RCT), pH and ethanol stability. Crude protein, NDF, ADF, ether extract and total FA content of pasture was not different between LMF and HMF herds. Milk fat concentration of conjugated linoleic acid (CLA) t10, c12 was not different between HMF and LMF herds. Pre-grazing herbage mass and pasture content of crude protein, neutral detergent fibre (NDF) and total FA were similar between HMF and LMF herds. Pasture offered to LMF herds had a higher concentration of monounsaturated fatty acids (MUFA). A strong negative relationship (r = -0.40) was evident between milk fat percentage and pasture crude protein content for MMF herds (3.31–3.94% milk fat). Conclusions This research reports improved milk protein percentage, milk casein percentage and cheddar cheese yield from HMF herds compared to LMF herds. Milk processability was not impacted by low milk fat percentage. Pasture NDF and total fatty acid content was similar in HMF herds and LMF herds. Milk fat percentage had a strong negative association (r = -0.40) with pasture crude protein content in MMF herds (MF 3.31–3.94%). Correlation values between pasture chemical and FA composition and milk fat percentage in LMF herds and HMF herds were low, indicating that diet is not the only causative factor for variation in milk fat of grazing dairy cows. Comparison of milk fatty acid composition from herds with and without milk fat depression suggests that there may be other fatty acids apart from CLA t10, c12 that contribute to the inhibition of milk fat synthesis during milk fat depression in grazing herds.

Improving feed efficiency is the most important goal for modern animal production. The regulatory mechanisms of controlling feed efficiency traits are extremely complex and include the functions related to host genetics and gut microbiota. Short-chain fatty acids (SCFAs), as significant metabolites of microbiota, could be used to refine the combined effect of host genetics and gut microbiota. However, the association of SCFAs with the gut microbiota and host genetics for regulating feed efficiency is far from understood. In this study, 464 broilers were housed for RFI measuring and examining the host genome sequence. And 300 broilers were examined for cecal microbial data and SCFA concentration. Genome-wide association studies (GWAS) showed that four out of seven SCFAs had significant associations with genome variants. One locus (chr4: 29414391–29417189), located near or inside the genes MAML3, SETD7, and MGST2, was significantly associated with propionate and had a modest effect on feed efficiency traits and the microbiota. The genetic effect of the top SNP explained 8.43

AbstractExploring the genetic loci underlying economic traits is foundational for innovation in modern animal breeding technology. Genome‐wide association studies (GWAS) have been valid and commonly used tools to dissect the genomic variants associated with phenotypes for the past ∼20 years and have contributed to our understanding of genetic and molecular bases of various traits. Here, we comprehensively review the recent research progress on GWAS methods. We highlight the methodological advancements enabled by the combination of new proteome, transcriptome, epigenome, and metagenome information and multi‐omics analysis algorithms. The advances in GWAS investigations of chickens, pigs, cattle, and other animals during the last 5 years are also described. Finally, we discuss the current applications of GWAS in cutting‐edge breeding technologies and overall future perspectives of the post‐GWAS era.

The current genetic evaluations of the Irish Sport Horse are undertaken on a single trait called the Lifetime Performance Rating (LPR). The LPR represents the highest level a horse has achieved two double clear rounds in show jumping in both national and international performances. The objective of this study was to compare the method currently used in these evaluations (Model 1, Table 1) to a modified methodology to determine the most accurate method for estimating breeding values (EBV) for the LPR. Genetic parameters and EBVs were generated based on the LPR of 30,355 horses using eight different animal models. Each of the eight models considered the additive genetic variance as the random effect and a combination of following fixed effects: sex, year the highest level was first achieved, age the highest level was achieved, maximum age of the animal in the competition data, Thoroughbred percentage (TB%), and TB% divided into eights. (Table 1). The goodness-of-fit of each model was evaluated using the Akaike’s information criteria and the genetic parameters produced by each model. Heritability estimates for LPR ranged from 0.26 to 0.32 depending on the model used (Table 1). The inclusion of age or maximum age in the model decreased the residual variances, and thus, increased the heritability estimates of LPR; these models also performed better than those that did not consider age in any form. The models that considered the effect of TB% were not a significantly better fit than those that did not consider this effect. In conclusion, future genetic evaluations of LPR in the Irish Sport Horse would benefit from using a model that considers either the age or maximum age of performance of each horse, alongside the year the highest level was achieved, and the sex of the horse.

The effect of sous vide cooking or grilling longissimus thoracis et lumborum (LTL) on the intramuscular fatty acid concentrations of lambs raised at pasture (Pasture), fed a cereal concentrate-based diet (Concentrate) or fed a cereal concentrate-based diet with a protected linseed oil supplement (Linseed) was assessed using GC-FID. Sous vide and grilling led to significant increases in fatty acid concentrations, particularly in the Pasture group. The apparent retention values were generally higher in the Pasture group. Concentrate, Linseed and Pasture groups had 16.7-19.9 mg, 25.8-28.7 mg, and 38.8-42.9 mg eicosapentaenoic acid (EPA) plus docosahexaenoic acid (DHA) in 100 g cooked meat, respectively. The EPA+DHA in the Pasture group met the requirements for a nutrient claim as a "source of n-3 fatty acids" set by the European Commission and as a "good source of n-3 fatty acids" set by the Food Standards Australia and New Zealand.

This study used a stochastic simulation model to estimate the potential economic benefit of using timed artificial insemination (TAI) in combination with conventional unsorted (TCONV) and sexed (TSEX) semen in heifers only (TCONV-H, TSEX-H) and in both heifers and lactating cows (TCONV-HC, TSEX-HC) in a high-producing, pasture-based production system. The scenarios were compared with a conventional reproductive policy (CONV) in which heifers and cows were inseminated with conventional unsorted semen after estrus detection. Sensitivity analysis was also used to estimate the effect of hormone costs from TAI use on the profitability of each program relative to CONV. The mean annual (± standard deviation) profit advantage (ΔPROF) over CONV for TCONV-H, TCONV-HC, TSEX-H, and TSEX-HC scenarios were €3.90/cow ± 4.65, €34.11/cow ± 25.69, €13.96/cow ± 6.83, and €41.52/cow ± 42.86, respectively. Combined application of both technologies was shown to return a greater annual ΔPROF on average compared with that achievable from TAI alone. However, the risk of not returning a positive annual ΔPROF varied across the scenarios with higher risk in TCONV-H and TSEX-HC. Specifically, TCONV-H and TSEX-HC had a 24 and 18% chance, respectively, of not returning a positive annual ΔPROF. Sensitivity analysis showed that when hormone costs increased by €10/cow TCONV-H and TSEX-HC had a 38 and 23% chance, respectively, of not returning a positive annual ΔPROF. The range in ΔPROF for TCONV policies was most sensitive to the TAI pregnancy rate and TSEX policies were most sensitive to the relative fertility achieved with sexed compared with unsorted semen. This study has shown TAI and sexed semen are complementary technologies that can increase genetic gain and profitability in a pasture-based, dairy production system.

The objective of this study was to compare the effects of contrasting concentrate feeding strategies and dairy cow genotypes on milk production, pasture intake, energy balance, and metabolic status under restricted grazing conditions. Fifty-eight Holstein Friesian cows were assigned to concentrate feeding strategy and genotype treatments in a 2 ? 2 factorial arrangement, in a randomized complete block design. Treatments were balanced for days in milk, parity, previous 305-day milk yield, and body condition score (BCS). The dietary treatments offered over the 11-week experimental period were a low flat rate concentrate allowance of 1.76 kg DM/d typical of a low input system (CON, n = 29) or a "feed to yield " concentrate allowance (FY, n = 29). The FY treatment included feeding a base of 1.76 kg DM plus 0.44 kg DM of concentrates/kg of milk above the base milk yield. All cows were allocated 13 kg DM of grass. The genotype treatments consisted of lower fertility higher milk (LFHM) and higher fertility lower milk (HFLM) cows based on Economic Breeding Index figures. The FY strategy resulted in a higher milk (+ 1.77 kg/d) and a higher fat plus protein yield (+ 0.12 kg/d) and increased BCS (+ 0.12 units) compared to CON. The metabolic status of FY cows differed from CON cows as evidenced by the reduced beta-hydroxybutyrate and non-esterified fatty acid concentrations. Genotype did not influence milk output but did affect total dry matter intake (DMI) and BCS. Cows of LFHM tended to have higher yields on the FY resulting in increased milk yield of 11% compared to FY-HFLM cows. Cows of HFLM fed CON had greater fat and protein output of 0.5 kg and 0.5 kg, respectively compared to the CON-LFHM. No differences in feed efficiency was observed between treatments. Despite cows originating from a higher output herd, differences in genotype had a significant effect on the response to the concentrate feeding strategies. These observations are important when identifying suitable genotypes or feeding strategies that most suit grazing systems.

Among the dairy sector's current concerns, the assessment of global animal health status is a complex challenge. Its multidimensionality means that global monitoring tools are rarely considered. Instead, specific disease detection is often studied separately and, due to financial and ethical issues, uses small-scale data sets focusing on few biomarkers. Several studies have already been conducted using milk Fourier transform mid-infrared (FT-MIR) spectroscopy to detect mastitis and lameness or to quantify health-related biomarkers in milk or blood. Those studies are relevant but they focus mainly on one biomarker or disease. To solve this issue and the small-scale data set, in this study, we proposed a holistic approach using big data obtained from milk recording, including milk yield, somatic cell count, and 27 FT-MIR-based predictors related to milk composition and animal health status. Using 740,454 records collected from 114,536 first-parity Holstein cows in southern Belgium, we performed repeated unsupervised learning algorithms based on Ward's agglomerative hierarchical clustering method to find potential interesting patterns. A divide-and-conquer approach was used to overcome the limitation of computational resources in clustering a relatively large data set. Five groups of records were identified. Differences observed in the fourth group suggested a relationship to metabolic disorders. The fifth group seemed to be related to mastitis. In a second step, we performed a partial least squares discriminant analysis (PLS-DA) to predict the probability of belonging to those specific groups for the entire data set. The obtained global accuracy was 0.77 and the balanced accuracy (i.e., the mean between sensitivity and specificity) of discriminating the fourth and fifth groups was 0.88 and 0.96, respectively. Then, a validation of the interpretation of those groups was performed using 204 milk and blood reference records. The predicted probability associated with the metabolic disorders issue had significant correlations of 0.54 with blood β-hydroxybutyrate, 0.44 with blood nonesterified fatty acids, -0.32 with blood glucose, -0.23 with milk glucose-6-phosphate, and 0.38 with milk isocitrate. In contrast, the predicted probability of belonging to the mastitis group had correlations of 0.69 with milk lactate dehydrogenase, 0.46 with milk N-acetyl-β-d-glucosaminidase, -0.18 with milk free glucose, and 0.16 with milk glucose-6-phosphate. Consequently, these results suggest that the obtained quantitative traits indirectly reflect some of the main health disorders in dairy farming and could be used to monitor dairy cows on a large scale. By using unsupervised learning on large-scale milk recording data and then validating the pattern using reference laboratory measures, we propose a new approach to quickly assess dairy cow health status.