Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples

Samková, Eva; Špička, Jiřı́; Hanuš, Oto; Roubal, Petr; Pecová, Lenka; Hasoňová, Lucie; Smetana, Pavel; Klimešová, Marcela; Čítek, J.

doi:10.3390/ani10061095

Cited by 10 publications

(8 citation statements)

References 46 publications

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“…The use of different analytical methods might also be a crucial factor. Samková et al (2020) recently showed that the FT-IR method can be advantageously used, especially for those FA and FA groups that are present in high proportions of the total milk fat. Results for FA present in milk in low proportions should, however, be interpreted with caution, because of lower correlation coefficients between FT-IR and GC values for these traits.…”

Section: Discussionmentioning

confidence: 99%

The effect of ruminal fluid pH on milk fatty acids composition in cattle

Komisarek

Stefańska

Nowak

2022

Annals of Animal Science

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The present study aimed to evaluate the effects of ruminal fluid pH on the fatty acids (FA) profile of bovine milk. The experiment was performed on 250 Polish Holstein-Friesian cows reared in 11 commercial high-yielding dairy farms. Ruminal fluid samples were collected by rumenocentesis, and fat and FA concentrations in milk were analyzed by Fourier transform infrared spectroscopy. According to ruminal fluid pH, cows were categorized into three pH groups: high pH (pH > 5.8), moderate pH (pH 5.8–5.6), and low pH (pH < 5.6). Milk produced by low-rumen pH cows had a decreased fat content as compared to milk from moderate- and high-rumen pH cows (P ≤ 0.05). Moreover, milk from low-rumen pH cows was characterized by the lowest level of short-chain FA (SCFA; P ≤ 0.05), and consequently, the highest medium-chain FA to SCFA ratio (P ≤ 0.01). The regression analysis showed that these traits explained a small proportion of rumen pH variance, which makes them unreliable indicators of subacute ruminal acidosis (SARA) in dairy cows. However, despite the extensive variability in milk fat composition observed in this study, the effect of ruminal pH on SCFA in all the analyzed herds showed the same trend. Future research aimed to identify SARA biomarkers should therefore be conducted using techniques that allow detection of more individual FA in milk, including SCFA.

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Section: Discussionmentioning

confidence: 99%

The effect of ruminal fluid pH on milk fatty acids composition in cattle

Komisarek

Stefańska

Nowak

2022

Annals of Animal Science

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“…Given the association of HYK with energy balance, it is also important to consider milk components which greatly influence milk energy output. Specifically, milk fat represents half of the energy in milk [ 25 ] and the profile of FA within the milk can shed light on the source of milk fat [ 26 , 27 ]. Milk fat percent is commonly reported as being greater in cows with HYK [ 16 , 17 , 23 , 28 ], consistent with the data presented herein.…”

Section: Discussionmentioning

confidence: 99%

Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights

Pralle

Amdall²,

Fourdraine

et al. 2021

Animals

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Prediction of hyperketonemia (HYK), a postpartum metabolic disorder in dairy cows, through use of cow and milk data has allowed for high-throughput detection and monitoring during monthly milk sampling. The objective of this study was to determine associations between predicted HYK (pHYK) and production parameters in a dataset generated from routine milk analysis samples. Data from 240,714 lactations across 335 farms were analyzed with multiple linear regression models to determine HYK status. Data on HYK or disease treatment was not solicited. Consistent with past research, pHYK cows had greater previous lactation dry period length, somatic cell count, and dystocia. Cows identified as pHYK had lower milk yield and protein percent but greater milk fat, specifically greater mixed and preformed fatty acids (FA), and greater somatic cell count (SCC). Differential somatic cell count was greater in second and fourth parity pHYK cows. Culling (60d), days open, and number of artificial inseminations were greater in pHYK cows. Hyperketonemia prevalence decreased linearly in herds with greater rolling herd average milk yield. This research confirms previously identified risk factors and negative outcomes associated with pHYK and highlights novel associations with differential SCC, mixed FA, and preformed FA across farm sizes and production levels.

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“…The determination of the FAs was performed on a Varian 3800 instrument (Varian Techtron, Palo Alto, CA, USA). The identification of FAs in the milk fat was performed using Supelco standards according to Samková et al [ 22 ]. The FA proportions were stated as g/100 g of FAs.…”

Section: Methodsmentioning

confidence: 99%

Associations among Farm, Breed, Lactation Stage and Parity, Gene Polymorphisms and the Fatty Acid Profile of Milk from Holstein, Simmental and Their Crosses

Samková

Čítek

Brzáková

et al. 2021

Animals

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This study aimed to analyze the factors affecting the fatty acid (FA) profile in cow’s milk. The effects of a farm, lactation parity and stage, breed and polymorphisms in the AGPAT6, DGAT1, LEP, FASN and SCD1 genes were evaluated. A total of 196 Holstein cows, 226 Simmental cows and seven crosses were sampled 751 times. The cows were kept at five farms and were in the first up to the sixth lactation, and 49 individual FAs and 11 groups were analyzed. The farm significantly affected the proportion of all FAs except for C16:1n-7c and isoC14:0. Additionally, the lactation stage was significant for most FAs, and the opposite was true for lactation parity. The effect of the breed was negligible. For the gene polymorphisms, the SCD1 TT genotype exceeded the CC in C10:0, C12:0, C14:0, C16:1n-7c and C18:2, and the opposite was true for C10:1, C12:1, C14:1n-5c, isoC17:0, C16:1 and C18:1, i.e., the TT genotype was higher for saturated FAs, and the CT genotype was higher for monounsaturated FAs. The results hint at the intermediary heredity of the SCD1 gene. The FASN gene was strongly associated with four FAs and branched-chain FAs, and genotype AG was better than GG. LEP was significant for five individual FAs and branched-chain FAs. The differences in FA composition among genotypes were rather small, which could lead to overestimation of the effect and needs to be considered in the next research.

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Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples

Cited by 10 publications

References 46 publications

The effect of ruminal fluid pH on milk fatty acids composition in cattle

The effect of ruminal fluid pH on milk fatty acids composition in cattle

Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights

Associations among Farm, Breed, Lactation Stage and Parity, Gene Polymorphisms and the Fatty Acid Profile of Milk from Holstein, Simmental and Their Crosses

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