Tawee Phongsupan1, Supranee Dermpun1

Peerapon Sukon2 Suneerat Aiumlamai3*

Milk Fat to Protein Ratio and Somatic Cell Count in Bulk Milk of Dairy Farms in Upper Northeastern Region

Khon Kaen Veterinary Annual International Conference (KVAC) The 18th

March 30th, 2017

• Milk compositions can be used to indicate health status and imbalance of feed

• Fat, Protein, Fat to protein ratio (FPR)

Introduction

Imbalance of feed

Risk of diseases metabolic disorders (ketosis, acidosis), lameness , DA, reproductive problem and mastitis

• Use to indicate

FPR = Percentage of milk Fat

Percentage of milk Protein

Heuer et al., 1999

(Eicher, 2004)

• Bulk milk somatic cell count (BM SCC)

Monitor mastitis in dairy herd

• SCC Excellent marker for subclinical mastitis

Introduction

(Philpot, Nickerson, 1991) (Paape et al., 2002)

(NMC.,2017)

Introduction

Heuer et al., 1999

Introduction

1.0 1.3

Lack of fiber

Normal

Ketosis

FPR uses to indicate health status

Optimal range Lower range Higher range

NEB (lack of energy)

• Both a lower and a higher FPR increased the risk of mastitis (Windig et al., 2005)

Mastitis

Mastitis

Acidosis

Introduction

Garciaa et al., 2015 Gantner et al., 2016

The objectives of this study

• BM quality in Upper NE (2013-2016)

• Association between FPR and SCC

• BM data of dairy farms in Upper NE (2013-2016)

• A total of 40,272 milk records 21/185 MCC

Materials and Methods

Materials and Methods Milk Quality

• SCC (x103 cells/ml)

• % Fat, Protein, Lactose, SNF, and TS

Fossomatic 5000 basic®

MilkoScan FT6000®

Cut off values

*Heuer, 2010

• 2-20% TS1

• 2-10% Lactose1

• 2-9% Fat12 and Protein12

• 100x103 - 1,500x103cells/ml SCC1

1Performance range test of Automatic analyzers (Combifoss, Denmark) 2

Heuer, 2010

(Veterinary Research and Development Center)

• FPR was classified into three groups

• < 1.0

• 1.0-1.3 (optimal range)

• >1.3

Association of FPR and SCC using Kruskal Wallis Test

(Garciaa et al., 2015)

(Gantner et al., 2016)

Materials and Methods

• Descriptive analysis milk quality

Results and Discussion

FPR of individual cows 1.18 (Puangdee et al., 2016)

Results and Discussion

Strong policy on milk quality which resulted in a better milk composition

15.5% <1.0 11.8% >1.3

72.7% in optimal range

1.0-1.3

Results and Discussion

(Garciaa et al., 2015)

(Gantner et al., 2016)

Results and Discussion

Conclusion

• The BM SCC was significantly increased

when FPR was high

Acknowledgement

• Thanks to Veterinary Research and Development

Center (Upper Northeastern Region), Department of Livestock Development (DLD), Khon Kaen, Thailand for the bulk milk data

References

1. Heuer C, Schukken YH, Dobbelaar P. Postpartum Body Condition Score and Results from the First Test Day Milk as Predictors of Disease, Fertility, Yield, and Culling in Commercial Dairy Herds. J Dairy Sci. 1999;82:295-304.

2. Gantner V, Bobic T, Potocnik K. Prevalence of metabolic disorders and effect on subsequent daily milk quantity and quality in Holstein cows. Arch Anim Breed. 2016;59:381-6. Epub Published: 13 September 2016.

3. Garciaa C, Montiela R, Borderasa T, Girardb V. Relationship between β-hydroxybutyrate and the fat:protein ratio of milk during early lactation in dairy cows. Arch Med Vet 2015;47: 21-5. Epub Accepted: 19.06.2014.

4. Windig JJ, Calus MPL, de Jong G, Veerkamp RF. The association between somatic cell count patterns and milk production prior to mastitis. Livest Prod Sci. 2005 9/30/;96(2–3):291-9.

5. Paape M, Mehrzad J, Zhao X, Detilleux J, Burvenich C. Defense of the Bovine Mammary Gland by Polymorphonuclear Neutrophil Leukocytes. Journal of Mammary Gland Biology and Neoplasia. 2002 2002//;7(2):109-21.

6. Puangdee S, Duangjinda M, Boonkhum W, Katawatin S, Buaban S, Thepparat M. Genetic associations between milk fat-to-protein ratio,milk production and fertility in the first two lactations of Thai Holsteins dairy cattle. Anim Sci J. 2016. Epub Received 28 July 2015 accepted for publication 10 June 2016. Japanese Society of Animal Science.

(Garciaa et al., 2015) (Gantner et al., 2016)