•Different silage-based diets in Holstein and Nordic Red dairy bulls were studied.•Increasing silage proportion in the diet led to a higher meat shear force value.•Increasing silage proportion in the ...diet decreased meat redness and yellowness values.•Marbling score of meat was higher in Nordic Red compared to Holstein bulls.•Drip loss was higher in Holstein compared to Nordic Red bulls.
The objective of the present experiment was to study the effects of different silage-based diets on beef quality of Holstein (HO) and Nordic Red (NR) bulls. Moderate concentrate diet (MC) included grass silage (GS), barley grain and mineral-vitamin mixture in proportions of 600:385:15 on dry matter basis while the respective proportions on low concentrate diet (LC) were 850:135:15. No concentrate diet (NC) included GS, whole-crop barley silage and mineral-vitamin mixture (685:300:15). Thirty-five HO and 30 NR bulls (21–22 bulls per feeding treatment) were randomly selected for the meat quality research. One day post-slaughter, the muscle longissimus lumborum (LL) from the right side of each carcass was cut at the level of the first lumbar vertebra. The pH value of LL muscle was highest in LC, intermediate in MC and lowest in NC diet but did not differ between the breeds. For meat lightness a significant (P < 0.05) breed × diet interaction was observed. The NR bulls had lighter meat compared to the HO bulls especially with MC, but not with LC. Meat redness and yellowness were higher in MC compared to LC or NC fed bulls (P < 0.001). The breed did not affect meat redness, but yellowness was higher in HO compared to NR bulls (P < 0.05). Drip loss was higher in LL of HO than NR bulls (P < 0.01). The diets had no effects on marbling score but it was higher in NR than HO bulls (P < 0.05). Shear force was lowest in MC but no difference was found between the LC and NC and between the breeds. No differences between the treatments were found in sensory tenderness, juiciness, and flavour. Overall, the observed diet effects on meat eating quality were minor. This demonstrated the ability of finishing dairy bulls to adapt to different feedings without major effects on meat quality.
•8 valid, reliable, rapid, non-invasive indicators were used to assess sheep welfare.•Farmers scored the relevance of the 8 animal welfare indicators.•Mastitis was scored as the most relevant ...followed by leanness and lameness.•No differences between dairy and dual-purpose farms were found in terms of welfare.
Accurate and reliable on-farm protocols are essential in sheep welfare evaluation. However, protocols with a high number of measures are demanding in terms of time. The aim of this trial was to use a few already validated, reliable, feasible, rapid and non-invasive animal-based indicators to evaluate and compare welfare on dairy and mixed purpose sheep farms. Indicators included prevalence of leanness, fleece condition, fleece cleanliness, skin lesions, tail docking, lameness, hoof overgrowth and mastitis. Farmers were asked to rank the relevance of the animal welfare indicators. Nine farms with dairy and nine farms with dual-purpose breeds were tested. The relevance given by eighteen farmers was affected by the type of indicators. Farmers scored mastitis as the most relevant welfare indicator, followed by leanness and lameness. The least relevant indicator was docked tail. The prevalence of poor fleece condition was lower in dairy sheep, whereas dual-purpose farms had higher prevalences of tail-docked animals. Farms showing a higher prevalence of skin lesions had animals with lower body condition and higher longevity. Hoof overgrowth was positively correlated with fleece dirtiness. No differences between dairy and dual-purpose farms were found in terms of the final score, which ranged from 33 (best welfare score) to 187 (worst welfare score). The final score was highly variable among farms. Identification of indicators showing higher prevalences allow the farmers to identify the main areas for intervention at farm level.
In tropical environments, dairy cattle production is constrained by several factors, including climate. The seasonal loss of milk due to heat stress is a recurring challenge for many dairy producers. ...The objective of this study was to detect heat stress thresholds, milk yield loss and individual animal variations using random regression models for dairy cattle from test-day milk records. Data were obtained from the Kenya Livestock Breeders Organization for the years 2000–2017 and merged with weather data. The weather parameters were grid-interpolated solar and meteorological data obtained from the National Aeronautics and Space Administration/Prediction Of Worldwide Energy Resources (NASA/POWER). After editing, the records comprised 49 993, 45 251 and 36 136 test-day records for first, second, and third lactations, respectively, for the four main dairy breeds: Friesian (68.0%), Ayrshire (21.1%), Jersey (7.6%) and Guernsey (3.3%). Variance components were estimated using Restricted Maximum Likelihood in ASReml software. Random regression models with third-order Legendre polynomials were fitted to the average and individual lactation curves and the reaction norms. An extended factor analytic variance structure for the random cow effects was used to estimate (co)variances between days in milk and thermal load. The daily average temperature (TA) and temperature humidity index (THI) were identified as the most suitable thermal load indicators for assessing milk yield losses. Considering a one day lag, the estimated heat stress thresholds were about 22 °C and 69 index units for TA and THI, respectively. Almost no differences were observed for estimated residual variances between the thermal load indicators, indicating there was no better model fit by TA or THI. The heat stress thresholds and milk loss patterns are important for management of dairy production systems in the tropics with climatic conditions similar to this study. Data recording should be improved as a tool to monitor the expected impacts of climate change and mitigation measures.
•A wide-range MALDI-MS lipid characterization of dairy breeds oocytes were provided.•The lipid profiles of the oocytes could be discriminated between the pure breeds.•Gir and crossbred oocytes were ...predominantly represented by phospholipids.•Holstein oocytes were predominantly enriched in triacylglycerol.
The differential expression of many productive and reproductive traits has already been associated with the genotype effect observed between Bos taurus indicus (Bos indicus) and Bos taurus taurus (Bos taurus) breeds. Lipids have a crucial role during oocyte development. The aim of this work was to characterize the lipid profiles of oocytes recovered from dairy breeds: Gir (Bos indicus), Holstein (Bos taurus) and their crossbred (Gir x Holstein). Cumulus-oocyte complexes were collected by ovum pick-up from Gir (n=21), Holstein (n=36), and crossbreed (n=33) cows and submitted to MALDI-MS lipid fingerprint analysis. Multi- and univariate analyses were used to characterize lipid profiles of oocytes derived from each breed. Third lipid profiles (Gir n=7; Holstein n=12; and crossbred n=11) were evaluated and allowed characterization of oocyte's lipids among breeds. The lipid profiles from Gir and Holstein were observed to be the most distinct, whereas Gir and crossbred oocytes presented greater similarities. Overall, a wide-range oocyte lipid profile characterization from distinctive bovine dairy breeds recovered by OPU were provided. We have identified two distinguishable lipid profile patterns among groups and revealed that phospholipids and triacylglycerol were the predominantly lipid assigned in Gir (Bos indicus) and Holstein (Bos taurus) oocytes, respectively.
Somatic cell count (SCC) is associated with changes in milk composition, including changes in proteins, lipids, and milk metabolites. Somatic cell count is normally used as an indicator of mastitis ...infection. The compositional changes in protein and fat affect milk coagulation properties, and also the metabolite composition is thought to contribute to differential milk properties. Milk somatic cells comprise different cell types, which may contribute to differential milk metabolite fingerprints. In this study, milk from a relatively large number of individual cows, representing significant differences in SCC, were analyzed by nuclear magnetic resonance (NMR)-based metabonomics, and the milk metabolite profiles were analyzed for differences related to SCC. Global principal component analysis performed on 876 samples from 2 Danish dairy breeds and orthogonal projection of latent structures discriminant analysis performed on a smaller subset (n=70) representing high (SCC >7.2×105 cells/mL) and low (SCC <1.4×104 cells/mL) milk SCC identified latent variables, which could be attributed to milk with elevated SCC. In addition, partial least squares regression between the NMR milk metabolite profiles and SCC revealed a strong correlation. The orthogonal projection of latent structures discriminant analysis and partial least squares regressions pinpointed specific NMR spectral regions and thereby identification of milk metabolites that differed according to SCC. Relative quantification of the identified metabolites revealed that lactate, butyrate, isoleucine, acetate, and β-hydroxybutyrate were increased, whereas hippurate and fumarate were decreased in milk with high levels of somatic cells.
The main aim of the study was to assess the recent evolution of cattle breeding in Alpine areas based on the number, quality and price of calves sold at local auctions in the South Tyrol region over ...the last decade, as case study. In addition, the effect of grazing during dam’s late gestation on calves’ auction quality was investigated to assess whether the inclusion of pasture in Alpine production system has an impact on auction parameters of calves beside its well-known positive effects on cattle welfare and the environment. Similarly, to other geographical areas, the study revealed that the numbers of crossbred calves (especially from specialised dairy breeds) has increased over the last years also in the Alpine area, because of more targeted breeding plans with an intensive use of beef bulls’ semen. Further, purebred calves from dual-purpose breeds (Simmental, Alpine Grey, Pinzgauer) received a higher remuneration in terms of price and market value at auction than purebred calves from specialised Holstein Friesian and Brown Swiss cows. A part of these animals could be available to support an innovative alpine meat supply chain which, if grass-fed, could further strengthen the current landscape maintenance service provided by the mountain livestock husbandry. Dams grazing during the last 90 days of gestation had a limited negative effect on calves’ liveweight and quality traits at auctions. All these results provide useful technical insights to support the switch from dairy to suckler herd system as future productive alternative for some small-scale mountain cattle farms whose viability is essential for the provision of several ecosystem services in the fragile Alpine environment.
Dairy cattle breeds have been subjected over the last fifty years to intense artificial selection towards improvement of milk production traits. In this study, we performed a whole genome scan for ...differentiation using 42,486 SNPs in the three major French dairy cattle breeds (Holstein, Normande and Montbéliarde) to identify the main physiological pathways and regions which were affected by this selection. After analyzing the population structure, we estimated F(ST) within and across the three breeds for each SNP under a pure drift model. We further considered two different strategies to evaluate the effect of selection at the genome level. First, smoothing F(ST) values over each chromosome with a local variable bandwidth kernel estimator allowed identifying 13 highly significant regions subjected to strong and/or recent positive selection. Some of them contained genes within which causal variants with strong effect on milk production traits (GHR) or coloration (MC1R) have already been reported. To go further in the interpretation of the observed signatures of selection we subsequently concentrated on the annotation of differentiated genes defined according to the F(ST) value of SNPs localized close or within them. To that end we performed a comprehensive network analysis which suggested a central role of somatotropic and gonadotropic axes in the response to selection. Altogether, these observations shed light on the antagonism, at the genome level, between milk production and reproduction traits in highly producing dairy cows.
This study aimed to evaluate the influence of dietary supplementation of organic selenium (Se) in non-lactating goats, as well as possible changes in the physiological responses of thermoregulation ...and in blood constituents under semiarid conditions. The study was undertaken for 42 consecutive days using 22 animals. Data were collected: (1) meteorological, (2) physiological and (3) haematological. The respiratory rate, rectal temperature, epidermis temperature and surface temperature of the pelt presented decreasing values from day zero to the 42nd day of evaluation, with the highest reduction in animals supplemented with Se. For haematological values, it was observed that the values of packet cell volume and mean corpuscular volume decreased significantly (p < 0.05) on the 42nd day of the experiment. For the animals that received dietary supplementation, it is possible to identify a greater association with factor 1, some haematological variables, and for factor 2, some physiological traits were also highlighted. The addition of Se in the diet reduced endogenous heat by reducing respiratory thermolysis and the superficial temperatures of the skin and epidermis, improving sensible and latent heat dissipation and keeping the rectal temperature within normal limits.
Abbreviations: RR: respiratory rate; RT: rectal temperature; CT: coat surface temperature; ET: epidermis temperature; RH: relative humidity; AT: air temperature; RHL: radiant heat load; BGHI: black globe humidity index, PCV: packet cell volume; HC: haemoglobin concentration; MCV: mean cell volume; MCH: mean cell haemoglobin; MCHC: mean cell haemoglobin concentration; WBC: white blood cell count; RBC: red blood cell; PCA: principal component analysis.
The aim of the present study was to investigate the relationship between the metabolite profile of milk and important technological properties by using nuclear magnetic resonance (NMR)-based ...metabolomics. The metabolomics approach was introduced for the metabolic profiling of a set of milk samples from two dairy breeds representing a wide span in coagulation properties. The milk metabolite profiles obtained by proton and carbon NMR spectroscopy could be correlated to breed and, more interestingly, also with the coagulation profile, as established by traditional methods by using principal component analysis (PCA). The metabolites responsible for the separation into breed could mainly be ascribed to carnitine and lactose, whereas the metabolites varying in the samples with respect to coagulation properties included citrate, choline, carnitine, and lactose. The results found in the present study demonstrated a promising potential of NMR-based metabolomics for a rapid analysis and classification of milk samples, both of which are useful for the dairy industry.
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