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Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation

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Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation. / Krogh, Mogens Agerbo; Hostens, M.; Salavati, Mazdak et al.

In: Animal, Vol. 14, No. 5, 1751731119002659, 05.2020, p. 1067-1075.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Krogh, MA, Hostens, M, Salavati, M, Grelet, C, Sørensen, MT, Wathers, DC, Ferris, CP, Marchitelli, C, Signorelli, F, Napolitano, F, Becker, F, Larsen, T, Matthews, E, Carter, F, Vanlierde, A, Opsomer, G, Gengler, N, Dehareng, F, Crowe, MA, Ingvartsen, KL & Foldager, L 2020, 'Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation', Animal, vol. 14, no. 5, 1751731119002659, pp. 1067-1075. https://doi.org/10.1017/S1751731119002659

APA

Krogh, M. A., Hostens, M., Salavati, M., Grelet, C., Sørensen, M. T., Wathers, D. C., Ferris, C. P., Marchitelli, C., Signorelli, F., Napolitano, F., Becker, F., Larsen, T., Matthews, E., Carter, F., Vanlierde, A., Opsomer, G., Gengler, N., Dehareng, F., Crowe, M. A., ... Foldager, L. (2020). Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation. Animal, 14(5), 1067-1075. [1751731119002659]. https://doi.org/10.1017/S1751731119002659

CBE

Krogh MA, Hostens M, Salavati M, Grelet C, Sørensen MT, Wathers DC, Ferris CP, Marchitelli C, Signorelli F, Napolitano F, et al. 2020. Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation. Animal. 14(5):1067-1075. https://doi.org/10.1017/S1751731119002659

MLA

Vancouver

Author

Krogh, Mogens Agerbo ; Hostens, M. ; Salavati, Mazdak et al. / Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation. In: Animal. 2020 ; Vol. 14, No. 5. pp. 1067-1075.

Bibtex

@article{757443a6fb2c408998e60bfab308430c,
title = "Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation",
abstract = "Both blood- and milk-based biomarkers have been analysed for decades in research settings, although often only in one herd, and without focus on the variation in the biomarkers that are specifically related to herd or diet. Biomarkers can be used to detect physiological imbalance and disease risk and may have a role in precision livestock farming (PLF). For use in PLF, it is important to quantify normal variation in specific biomarkers and the source of this variation. The objective of this study was to estimate the between- and within-herd variation in a number of blood metabolites (β-hydroxybutyrate (BHB), non-esterified fatty acids, glucose and serum IGF-1), milk metabolites (free glucose, glucose-6-phosphate, urea, isocitrate, BHB and uric acid), milk enzymes (lactate dehydrogenase and N-acetyl-β-D-glucosaminidase (NAGase)) and composite indicators for metabolic imbalances (Physiological Imbalance-index and energy balance), to help facilitate their adoption within PLF. Blood and milk were sampled from 234 Holstein dairy cows from 6 experimental herds, each in a different European country, and offered a total of 10 different diets. Blood was sampled on 2 occasions at approximately 14 days-in-milk (DIM) and 35 DIM. Milk samples were collected twice weekly (in total 2750 samples) from DIM 1 to 50. Multilevel random regression models were used to estimate the variance components and to calculate the intraclass correlations (ICCs). The ICCs for the milk metabolites, when adjusted for parity and DIM at sampling, demonstrated that between 12% (glucose-6-phosphate) and 46% (urea) of the variation in the metabolites{\textquoteright} levels could be associated with the herd-diet combination. Intraclass Correlations related to the herd-diet combination were generally higher for blood metabolites, from 17% (cholesterol) to approximately 46% (BHB and urea). The high ICCs for urea suggest that this biomarker can be used for monitoring on herd level. The low variance within cow for NAGase indicates that few samples would be needed to describe the status and potentially a general reference value could be used. The low ICC for most of the biomarkers and larger within cow variation emphasises that multiple samples would be needed - most likely on the individual cows - for making the biomarkers useful for monitoring. The majority of biomarkers were influenced by parity and DIM which indicate that these should be accounted for if the biomarker should be used for monitoring.",
keywords = "dairy, biomarker, physiological imbalance, variance, monitoring, BETA-HYDROXYBUTYRATE, FLUOROMETRIC-DETERMINATION, GLUCOSE-6-PHOSPHATE, DAIRY-COWS, PLASMA, SAMPLING TIME, FREE GLUCOSE, INDICATORS, NUTRITION, DIURNAL-VARIATION",
author = "Krogh, {Mogens Agerbo} and M. Hostens and Mazdak Salavati and Clement Grelet and S{\o}rensen, {Martin Tang} and Wathers, {D. C.} and Ferris, {C. P.} and C Marchitelli and F. Signorelli and F. Napolitano and F Becker and Torben Larsen and E. Matthews and F. Carter and Amelie Vanlierde and Gert Opsomer and Nicolas Gengler and F Dehareng and Crowe, {M. A.} and Ingvartsen, {Klaus L{\o}nne} and Leslie Foldager",
year = "2020",
month = may,
doi = "10.1017/S1751731119002659",
language = "English",
volume = "14",
pages = "1067--1075",
journal = "Animal",
issn = "1751-7311",
publisher = "Cambridge University Press",
number = "5",

}

RIS

TY - JOUR

T1 - Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation

AU - Krogh, Mogens Agerbo

AU - Hostens, M.

AU - Salavati, Mazdak

AU - Grelet, Clement

AU - Sørensen, Martin Tang

AU - Wathers, D. C.

AU - Ferris, C. P.

AU - Marchitelli, C

AU - Signorelli, F.

AU - Napolitano, F.

AU - Becker, F

AU - Larsen, Torben

AU - Matthews, E.

AU - Carter, F.

AU - Vanlierde, Amelie

AU - Opsomer, Gert

AU - Gengler, Nicolas

AU - Dehareng, F

AU - Crowe, M. A.

AU - Ingvartsen, Klaus Lønne

AU - Foldager, Leslie

PY - 2020/5

Y1 - 2020/5

N2 - Both blood- and milk-based biomarkers have been analysed for decades in research settings, although often only in one herd, and without focus on the variation in the biomarkers that are specifically related to herd or diet. Biomarkers can be used to detect physiological imbalance and disease risk and may have a role in precision livestock farming (PLF). For use in PLF, it is important to quantify normal variation in specific biomarkers and the source of this variation. The objective of this study was to estimate the between- and within-herd variation in a number of blood metabolites (β-hydroxybutyrate (BHB), non-esterified fatty acids, glucose and serum IGF-1), milk metabolites (free glucose, glucose-6-phosphate, urea, isocitrate, BHB and uric acid), milk enzymes (lactate dehydrogenase and N-acetyl-β-D-glucosaminidase (NAGase)) and composite indicators for metabolic imbalances (Physiological Imbalance-index and energy balance), to help facilitate their adoption within PLF. Blood and milk were sampled from 234 Holstein dairy cows from 6 experimental herds, each in a different European country, and offered a total of 10 different diets. Blood was sampled on 2 occasions at approximately 14 days-in-milk (DIM) and 35 DIM. Milk samples were collected twice weekly (in total 2750 samples) from DIM 1 to 50. Multilevel random regression models were used to estimate the variance components and to calculate the intraclass correlations (ICCs). The ICCs for the milk metabolites, when adjusted for parity and DIM at sampling, demonstrated that between 12% (glucose-6-phosphate) and 46% (urea) of the variation in the metabolites’ levels could be associated with the herd-diet combination. Intraclass Correlations related to the herd-diet combination were generally higher for blood metabolites, from 17% (cholesterol) to approximately 46% (BHB and urea). The high ICCs for urea suggest that this biomarker can be used for monitoring on herd level. The low variance within cow for NAGase indicates that few samples would be needed to describe the status and potentially a general reference value could be used. The low ICC for most of the biomarkers and larger within cow variation emphasises that multiple samples would be needed - most likely on the individual cows - for making the biomarkers useful for monitoring. The majority of biomarkers were influenced by parity and DIM which indicate that these should be accounted for if the biomarker should be used for monitoring.

AB - Both blood- and milk-based biomarkers have been analysed for decades in research settings, although often only in one herd, and without focus on the variation in the biomarkers that are specifically related to herd or diet. Biomarkers can be used to detect physiological imbalance and disease risk and may have a role in precision livestock farming (PLF). For use in PLF, it is important to quantify normal variation in specific biomarkers and the source of this variation. The objective of this study was to estimate the between- and within-herd variation in a number of blood metabolites (β-hydroxybutyrate (BHB), non-esterified fatty acids, glucose and serum IGF-1), milk metabolites (free glucose, glucose-6-phosphate, urea, isocitrate, BHB and uric acid), milk enzymes (lactate dehydrogenase and N-acetyl-β-D-glucosaminidase (NAGase)) and composite indicators for metabolic imbalances (Physiological Imbalance-index and energy balance), to help facilitate their adoption within PLF. Blood and milk were sampled from 234 Holstein dairy cows from 6 experimental herds, each in a different European country, and offered a total of 10 different diets. Blood was sampled on 2 occasions at approximately 14 days-in-milk (DIM) and 35 DIM. Milk samples were collected twice weekly (in total 2750 samples) from DIM 1 to 50. Multilevel random regression models were used to estimate the variance components and to calculate the intraclass correlations (ICCs). The ICCs for the milk metabolites, when adjusted for parity and DIM at sampling, demonstrated that between 12% (glucose-6-phosphate) and 46% (urea) of the variation in the metabolites’ levels could be associated with the herd-diet combination. Intraclass Correlations related to the herd-diet combination were generally higher for blood metabolites, from 17% (cholesterol) to approximately 46% (BHB and urea). The high ICCs for urea suggest that this biomarker can be used for monitoring on herd level. The low variance within cow for NAGase indicates that few samples would be needed to describe the status and potentially a general reference value could be used. The low ICC for most of the biomarkers and larger within cow variation emphasises that multiple samples would be needed - most likely on the individual cows - for making the biomarkers useful for monitoring. The majority of biomarkers were influenced by parity and DIM which indicate that these should be accounted for if the biomarker should be used for monitoring.

KW - dairy

KW - biomarker

KW - physiological imbalance

KW - variance

KW - monitoring

KW - BETA-HYDROXYBUTYRATE

KW - FLUOROMETRIC-DETERMINATION

KW - GLUCOSE-6-PHOSPHATE

KW - DAIRY-COWS

KW - PLASMA

KW - SAMPLING TIME

KW - FREE GLUCOSE

KW - INDICATORS

KW - NUTRITION

KW - DIURNAL-VARIATION

U2 - 10.1017/S1751731119002659

DO - 10.1017/S1751731119002659

M3 - Journal article

C2 - 31694730

VL - 14

SP - 1067

EP - 1075

JO - Animal

JF - Animal

SN - 1751-7311

IS - 5

M1 - 1751731119002659

ER -