Moving towards sustainable breeding objectives and cow welfare in dairy production: a South African perspective

Effect of olive cake supplementation on faecal microbiota profile of Holstein and Modicana dairy cattle

The present study aimed to investigate the effect of olive cake supplementation on faecal microbiota of Holstein (n = 16) and Modicana (n = 16) dairy cows. Although no difference in richness was detected, within breeds and between the two dietary treatment, the PERMANOVA analysis applied to the beta diversity allowed to discriminate samples according to breeds (p < 0.001) and treatment (p < 0.001). In Holstein cows, the olive cake supplementation led to the increase of Pseudobutyrivibrio and Christensenellaceae_R7-group genera (p < 0.05) recognized as health-promoting or associated with feed efficiency. Differently, no difference was detected between control and treated groups for Modicana suggesting a high adaptive capacity to diet changes. In addition, the higher prevalence of Firmicutes phyla in the Modicana microbiota reflected its better capacity to digest the fibrous sources. Our study supports the suitability of olive cake as a feed supplement for cows and could help validating a sustainable livestock system in the Mediterranean area, characterized by a relevant oil production and by a native breeds reared with extensive systems.

Exploring the effect of auditory stimuli on activity levels, milk yield and faecal glucocorticoid metabolite concentrations in Holstein cows

Health and welfare are inextricably linked within efficient and sustainable dairy production, and several potential risk factors may affect the well-being of dairy cows, including chronic stress. Although auditory stimuli could be used as a tool to decrease the potential stress that cows might experience, it is seldom applied to livestock production systems due to the perception that enrichment is an unnecessary expense. This study aimed to explore the effect of auditory stimuli as a form of enrichment in a Holstein herd by monitoring fecal glucocorticoid metabolite (fGCM) concentrations (a non-invasive, stress-associated biomarker). Cow activity level and milk yield were also measured. Nine cows in their second and third lactation were divided into 3 groups, using a Latin Square experimental design, exposing each cow group to each of the 3 treatments, namely constant exposure (CE), limited exposure (LE), and no exposure (NE) to classical music. FGCMs were quantified using a group-specific enzyme immunoassay detecting 11,17-dioxoandrostanes. Compared to LE and NE animals, cows exposed to constant music had significantly lower fGCM concentrations (P = 0.012), as well as higher milk yields (P < 0.0001) and lowered activity levels during the morning (P = 0.005) and the evening activity period (P = 0.048). These findings indicate that auditory stimuli in the form of classical music may have a positive effect on the welfare of cows as well as milk yield, which hold economic benefits for the producer and potentially reduces the number of cows needed for profitable production.

Applications of Omics Technology for Livestock Selection and Improvement

Conventional animal selection and breeding methods were based on the phenotypic performance of the animals. These methods have limitations, particularly for sex-limited traits and traits expressed later in the life cycle (e.g., carcass traits). Consequently, the genetic gain has been slow with high generation intervals. With the advent of high-throughput omics techniques and the availability of multi-omics technologies and sophisticated analytic packages, several promising tools and methods have been developed to estimate the actual genetic potential of the animals. It has now become possible to collect and access large and complex datasets comprising different genomics, transcriptomics, proteomics, metabolomics, and phonemics data as well as animal-level data (such as longevity, behavior, adaptation, etc.,), which provides new opportunities to better understand the mechanisms regulating animals’ actual performance. The cost of omics technology and expertise of several fields like biology, bioinformatics, statistics, and computational biology make these technology impediments to its use in some cases. The population size and accurate phenotypic data recordings are other significant constraints for appropriate selection and breeding strategies. Nevertheless, omics technologies can estimate more accurate breeding values (BVs) and increase the genetic gain by assisting the section of genetically superior, disease-free animals at an early stage of life for enhancing animal productivity and profitability. This manuscript provides an overview of various omics technologies and their limitations for animal genetic selection and breeding decisions.