Towards an Optimum Mixing Protocol for On-Farm Bulk Milk Sampling

Methods of mixing donor human milk during bottling results in fat differences between samples within a pool

The influence of milk-banking processes on nutrients in donor human milk (DHM) is largely unknown. Previous studies have measured nutrients between pools of DHM, but within-pool nutrient differences (between bottles from the same pool) have yet to be elucidated. The objective of this study was to gain a better understanding of the effect of different mixing characteristics on the distribution of fat, protein, IgA, and lysozyme in bottled, raw DHM. Pools of DHM were created in a laboratory setting according to published human milk-banking guidelines and assigned to a mixing treatment (mixing during bottling method, pooling container material, and refrigerated hold time). Four mixing protocols using glass pooling containers and a 1-h refrigerated hold time were tested: control (no mixing during bottling); manual-A (Man-A, hand swirl after pouring 3 bottles); manual-B (Man-B, hand swirl after pouring every bottle); and mechanical-G (Mech-G, continuous stirring with a magnet). As secondary objectives, we compared the effect of a glass and a plastic pooling container with mechanical mixing (mechanical-P, Mech-P), and compared refrigerated delays of 1 and 24 h before bottling with manual mixing (manual-A24, Man-A24). To control for differences in nutrient content, comparisons between treatments were made using absolute percent difference from the treatment-specific mean; and comparisons within a treatment were made using the ratio of fat content in a bottle to fat content in the first bottle of the same pool. We did not observe differences in nutrient distribution between Man-A, Man-B, and Mech-G in pools held for 1 h, but all were significantly different from the control for fat. There were no differences between glass or plastic pooling containers when mechanical mixing was used. Holding a pool in the refrigerator for 24 h before bottling created significantly greater fat distribution than holding a pool for 1 h. Outcomes were the result of controlled experiments. In summary, manual and mechanical mixing of 1,700-mL DHM pools produces similar fat and protein distributions when DHM is pooled and bottled after a 1-h hold time. When DHM is held for 24 h before bottling, more research is needed to determine the duration of initial mixing needed to reduce fat variability between bottles.

Bedding and bedding management practices are associated with mesophilic and thermophilic spore levels in bulk tank raw milk

Mesophilic and thermophilic spore-forming bacteria represent a challenge to the dairy industry, as these bacteria are capable of surviving adverse conditions associated with processing and sanitation and eventually spoil dairy products. The dairy farm environment, including soil, manure, silage, and bedding, has been implicated as a source for spores in raw milk. High levels of spores have previously been isolated from bedding, and different bedding materials have been associated with spore levels in bulk tank (BT) raw milk; however, the effect of different bedding types, bedding management practices, and bedding spore levels on the variance of spore levels in BT raw milk has not been investigated. To this end, farm and bedding management surveys were administered and unused bedding, used bedding, and BT raw milk samples were collected from dairy farms (1 or 2 times per farm) across the United States over 1 yr; the final data set included 182 dairy farms in 18 states. Bedding suspensions and BT raw milk were spore pasteurized (80°C for 12 min), and mesophilic and thermophilic spores were enumerated. Piecewise structural equation modeling analysis was used to determine direct and indirect pathways of association among farm and bedding practices, levels of spores in unused and used bedding, and levels of spores in BT raw milk. Separate models were constructed for mesophilic and thermophilic spore levels. The analyses showed that bedding material had a direct influence on levels of spores in unused and used bedding as well as an indirect association with spore levels in BT raw milk through used bedding spore levels. Specific bedding and farm management practices as well as cow hygiene in the housing area were associated with mesophilic and thermophilic spore levels in unused bedding, used bedding, and BT raw milk. Notably, levels of spores in used bedding were positively related to those in unused bedding, and used bedding spore levels were positively related to those in BT raw milk. The results of this study increase the understanding of the levels and ecology of mesophilic and thermophilic spores in raw milk, emphasize the possible role of bedding as a source of spores on-farm, and present opportunities for dairy producers to reduce spore levels in BT raw milk.

Reliability of the bulk milk somatic cell count as an indication of average herd somatic cell count

Bulk milk somatic cell count (BMSCC) is a frequently used parameter to estimate the subclinical mastitis prevalence in a dairy herd, but it often differs considerably from the average SCC of all individual cows in milk. In this study, first the sampling variation was determined on 53 dairy farms with a BMSCC ranging from 56 000 to 441 000 cells/ml by collecting five samples on each farm of the same bulk tank. The average absolute sampling variation ranged from 1800 to 19 800 cells/ml. To what extent BMSCC represents all lactating cows was evaluated in another 246 farms by comparing BMSCC to the average herd SCC corrected for milk yield (CHSCC), after the difference was corrected for the sampling variation of BMSCC. On average BMSCC was 49 000 cells/ml lower than CHSCC, ranging from −10 000 cells/ml to 182 000 cells/ml, while the difference increased with an increasing BMSCC. Subsequently, management practices associated with existing differences were identified. Farms with a small (<20%) difference between BMSCC and CHSCC administered intramuscular antibiotics for the treatment of clinical mastitis more often, used the high SCC history when cows were dried off more frequently and had a higher number of treatments per clinical mastitis case compared with farms with a large (⩾20%) difference. Farms feeding high-SCC milk or milk with antibiotic residues to calves were 2·4-times more likely to have a large difference. Although sampling variation influences the differences between BMSCC and CHSCC, the remaining difference is still important and should be considered when BMSCC is used to review the average herd SCC and the subclinical mastitis prevalence.