Milk Composition and Production Efficiency within Feed-To-Yield Systems on Commercial Dairy Farms in Northern Ireland

Craig, Aimee-Louise; Gordon, Alan; Hamill, Gregory; Ferris, C.P.

doi:10.3390/ani12141771

Cited by 14 publications

(10 citation statements)

References 35 publications

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“…Similarly, analogous data were obtained when TC spiked in raw milk was processed on PureCubeNHS beads functionalized with a-TC8 aptamer (TC/TC0 for the eluted fraction e2). Additionally, milk contains several compounds that could interfere with the aptamer–antibiotic binding [ 44 , 45 ], while this adverse effect is less present when the interaction of antibiotics is mediated by small molecules or even ions [ 20 ].…”

Section: Resultsmentioning

confidence: 99%

Different Strategies for the Microfluidic Purification of Antibiotics from Food: A Comparative Study

et al. 2023

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The presence of residual antibiotics in food is increasingly emerging as a worrying risk for human health both for the possible direct toxicity and for the development of antibiotic-resistant bacteria. In the context of food safety, new methods based on microfluidics could offer better performance, providing improved rapidity, portability and sustainability, being more cost effective and easy to use. Here, a microfluidic method based on the use of magnetic microbeads specifically functionalized and inserted in polymeric microchambers is proposed. The microbeads are functionalized either with aptamers, antibodies or small functional groups able to interact with specific antibiotics. The setup of these different strategies as well as the performance of the different functionalizations are carefully evaluated and compared. The most promising results are obtained employing the functionalization with aptamers, which are able not only to capture and release almost all tetracycline present in the initial sample but also to deliver an enriched and simplified solution of antibiotic. These solutions of purified antibiotics are particularly suitable for further analyses, for example, with innovative methods, such as label-free detection. On the contrary, the on-chip process based on antibodies could capture only partially the antibiotics, as well as the protocol based on beads functionalized with small groups specific for sulfonamides. Therefore, the on-chip purification with aptamers combined with new portable detection systems opens new possibilities for the development of sensors in the field of food safety.

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Section: Resultsmentioning

confidence: 99%

Different Strategies for the Microfluidic Purification of Antibiotics from Food: A Comparative Study

et al. 2023

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“…The goat milk yield and composition according to goat breed and SCC group are presented in Table 2 . The present study showed that Saanen goats yielded ( p < 0.001) more milk (2.45 ± 0.04 vs. 1.71 ± 0.02 kg/day), but their milk was significantly lower in fat (3.13 ± 0.10 vs. 4.39 ± 0.13%) and protein (3.02 ± 0.04 vs. 3.53 ± 0.05%) content than that of Alpine goats [ 20 ]. Lower fat and protein content with higher milk yield in Saanen goats may be attributed to goat genetics and milk dilution effects [ 20 ].…”

Section: Resultsmentioning

confidence: 99%

“…The present study showed that Saanen goats yielded ( p < 0.001) more milk (2.45 ± 0.04 vs. 1.71 ± 0.02 kg/day), but their milk was significantly lower in fat (3.13 ± 0.10 vs. 4.39 ± 0.13%) and protein (3.02 ± 0.04 vs. 3.53 ± 0.05%) content than that of Alpine goats [ 20 ]. Lower fat and protein content with higher milk yield in Saanen goats may be attributed to goat genetics and milk dilution effects [ 20 ]. A few previous studies revealed similar milking results: Saanen goats had significantly higher daily milk yields (2.15–2.63 kg/day) compared with Alpine goats (1.76–2.08 kg/day) [ 21 , 22 ], while milk composition varied differently between investigated breeds.…”

Section: Resultsmentioning

confidence: 99%

Associations between Somatic Cell Count and Milk Fatty Acid and Amino Acid Profile in Alpine and Saanen Goat Breeds

Šlyžius

Anskienė

Palubinskas

et al. 2023

Animals

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The main goal of this study was to evaluate the relation of different SCC levels in goat milk with goat milk yield, milk composition, FA, and AA profiles. Whereas the investigated herd was composed of Alpine and Saanen goats, the influence of breed on milk parameters and milk yield was also assessed. The research was carried out in 2022 at a Lithuanian dairy goat farm with 135 goats (Saanen = 66 and Alpine = 69) without evidence of clinical mastitis. The current research revealed a relationship between SCC with goat milk yield and composition. Goats with a high SCC had significantly lower milk yield (p < 0.001), lower content of lactose (p < 0.01), fat (p < 0.001) and higher protein content (p < 0.05) in their milk. The increase in most AA was significantly associated with increased SCC. The higher quantity of Asp, Glu, Ala, Met, His, Lys, Arg, EAA, NEAA, and TAA (compared with the low SCC group) (p < 0.05–0.01), Leu, Tyr, and BCAA (compared with the low and medium SCC group) were found in the milk of the high SCC group (p < 0.05–0.01). The distribution of the main FA groups was also related to SCC and showed a significant decrease in SCFA (p < 0.01–0.001) and an increase in LCFA, PUFA, and BCFA in the high SCC group (p < 0.05). All individual AA and their groups (EAA, NEAA, TAA, BCAA) were significantly lower in the milk of the Saanen goat breed (p < 0.001). The most individual FA ranged between goat breeds, while the total amount of SFA, UFA, and MUFA wasn’t affected by breed (p > 0.05). The research revealed a statistically significant relationship between SCC, AA, and FA, suggesting that these traits may be used as a biomarker in the goat selection process.

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“…In this regard, the strongest effect with 0.91 was identified for protein content. Craig et al [46] already showed that protein content is closely related to productivity. With increasing milk yield, the amount of protein decreases, explaining the opposite signs of the path coefficients of milk yield and protein content in our model [46].…”

Section: Manifest Variables On Intramammary Infection and Productionmentioning

confidence: 99%

“…Craig et al [46] already showed that protein content is closely related to productivity. With increasing milk yield, the amount of protein decreases, explaining the opposite signs of the path coefficients of milk yield and protein content in our model [46]. Regarding udder health, protein content reacted very sensitively, especially to somatic cell count alterations, while fat content was more stable [9].…”

Section: Manifest Variables On Intramammary Infection and Productionmentioning

confidence: 99%

Inferring Causalities of Environmental and Genetic Factors for Differential Somatic Cell Count and Mastitis Pathogens in Dairy Cows Using Structural Equation Modelling

Wagner,

Brügemann,

Yin

et al. 2023

Genes

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The aim of this study was to establish and evaluate a structural equation model to infer causal relationships among environmental and genetic factors on udder health. For this purpose, 537 Holstein Friesian cows were genotyped, and milk samples were analyzed for novel traits including differential somatic cell counts and specific mastitis pathogens. In the structural model, four latent variables (intramammary infection (IMI), production, time and genetics) were defined, which were explained using manifest measurable variables. The measurable variables included udder pathogens and somatic differential cell counts, milk composition, as well as significant SNP markers from previous genome-wide associations for major and minor pathogens. The housing system effect (i.e., compost-bedded pack barns versus cubicle barns) indicated a small influence on IMI with a path coefficient of −0.05. However, housing system significantly affected production (0.37), with ongoing causal effects on IMI (0.17). Thus, indirect associations between housing and udder health could be inferred via structural equation modeling. Furthermore, genotype by environment interactions on IMI can be represented, i.e., the detection of specific latent variables such as significant SNP markers only for specific housing systems. For the latent variable genetics, especially one SNP is of primary interest. This SNP is located in the EVA1A gene, which plays a fundamental role in the MAPK1 signaling pathway. Other identified genes (e.g., CTNNA3 and CHL1) support results from previous studies, and this gene also contributes to mechanisms of the MAPK1 signaling pathway.

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Milk Composition and Production Efficiency within Feed-To-Yield Systems on Commercial Dairy Farms in Northern Ireland

Cited by 14 publications

References 35 publications

Different Strategies for the Microfluidic Purification of Antibiotics from Food: A Comparative Study

Different Strategies for the Microfluidic Purification of Antibiotics from Food: A Comparative Study

Associations between Somatic Cell Count and Milk Fatty Acid and Amino Acid Profile in Alpine and Saanen Goat Breeds

Inferring Causalities of Environmental and Genetic Factors for Differential Somatic Cell Count and Mastitis Pathogens in Dairy Cows Using Structural Equation Modelling

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