Effect of season, lactation, parity and milk production on milk inflammatory parameters in healthy and mastitis infected Sahiwal cows

INDU PANCHAL; SUMIT MAHAJAN; JINU MANOJ; DEEPTI DHINDSA

doi:10.56093/ijans.v92i2.122076

Authors

INDU PANCHAL Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125 004 India
SUMIT MAHAJAN Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125 004 India
JINU MANOJ Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125 004 India
DEEPTI DHINDSA Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125 004 India

https://doi.org/10.56093/ijans.v92i2.122076

Keywords:

Electrical conductivity, Mastitis, pH, Sahiwal, Somatic cell count

Abstract

The present investigation was undertaken to study the effect of different season, stages of lactation, parity and milk production on milk inflammatory parameters in healthy and mastitis infected Sahiwal cows. Three parameters, viz. pH, electrical conductivity (EC) and somatic cell count (SCC) were taken to assess the quality of milk. The study was conducted on 100 selected Sahiwal cows maintained at livestock farm at National Dairy Research Institute, Karnal, Haryana. Significant higher values of pH, EC and SCC were found in milk samples during rainy season, followed by winter and summer. Effect of parity, lactation and milk production on inflammatory parameters was non-significant. The pH, EC and SCC also differed significantly in healthy, subclinical and clinical stages of mastitis. A significant positive coefficient of correlation was observed between SCC and EC (r=0.679) whereas moderate (r=0.526) but significant positive correlation was found in pH and EC. In view of above results, it can be deduced that the elevated value of pH, EC and SCC indicates inflammation into the udder of the animals which leads to reduced quality of milk. Hence it is imperative that pH, EC and SCC need to be considered along with effective management strategies.

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References

Alhussien M N and Dang A K. 2018. Milk somatic cells, factors influencing their release, future prospects, and practical utility in dairy animals: An overview. Veterinary World 11(5): 562. DOI: https://doi.org/10.14202/vetworld.2018.562-577

Aurelia P, Cristian C, Camelia R, Vioara M and Gheorghe M. 2009. The study of the main parameters quality of buffalo milk. Journal of Central European Agriculture 10(3): 201– 06.

Boas D F V, Filho A E V, Pereira M A, Junior L C R and Faro L E. 2017. Association between electrical conductivity and milk production traits in Dairy Gyr cows. Journal of Applied Animal Research 45(1): 227–33. DOI: https://doi.org/10.1080/09712119.2016.1150849

Bogni C, Odierno L, Raspanti C, Giraudo J, Larriestra A, Reinoso E, Lasagno M, Ferrari M, Ducros E, Frigerioc C, Bettera S, Pellegrino M S, Frola I, Dieser S and Vissio C. 2011 War against mastitis: Current concepts on controlling bovine mastitis pathogens. In: Méndez-Vilas A; Education Science against microbial pathogens: Communicating current research and technological advances. Formatex Research Center, pp 483–494.

Dang A K, Mukherjee J and Kapila S. 2010. In vitro phagocytic activity of milk neutrophils during lactation cycle in Murrah buffaloes of different parity. Journal of Animal Physiology and Animal Nutrition 94: 706–71. DOI: https://doi.org/10.1111/j.1439-0396.2010.01013.x

Daunoras K. 2008. Research into correlation of milk electrical conductivity and freezing point depression. Electronics and Electrical Engineering-Kaunas: Technologija 81(1): 23–26.

De U K and Mukherjee R. 2009. Prevalence of mastitis in cross breed cows. Indian Veterinary Journal 86(8): 858–59.

Deshapriya R M C, Rahularaj R and Ranasinghe R M S B K. 2019. Mastitis, somatic cell count and milk quality: An overview. Sri Lanka Veterinary Journal 66: 1–12. DOI: https://doi.org/10.4038/slvj.v66i1.32

Gaddi R M, Isloor S, Rathnamma D, Avinash B, Veeregowda B M, Bhaskar R and Suguna R. 2016. Multiplex-PCR to detect pathogens and analysis of relation of age and stage of lactation of cows to sub-clinical mastitis. Journal of Experimental Biology and Agriculture Science 4: S59–68. DOI: https://doi.org/10.18006/2016.4(Spl-3-ADPCIAD).S59.S68

Hagnestam-Nielsen C and Ostergaard S. 2009. Economic impact of clinical mastitis in a dairy herd assessed by stochastic simulation using different methods to model yield losses. Animal 3: 315–28. DOI: https://doi.org/10.1017/S1751731108003352

Halasa T and Kirkeby C. 2020. Differential somatic cell count: value for udder health management. Frontiers in Veterinary Science 7: 609055. DOI: https://doi.org/10.3389/fvets.2020.609055

Jingar S C, Mehla R K, Mahendra S and Pankaj K. Singh 2014. Effect of stages and level of milk production on mastitis incidence in cows and murrah buffaloes. Journal of Bio Innovation 3: 117–23.

Kavitha K L, Rajesh K, Suresh K, Satheesh K and Syama Sundar N. 2009. Buffalo mastitis- Risk factors. Buffalo Bull 28(3): 134–37.

Khate K and Yadav B R. 2010. Incidence of mastitis in Sahiwal cattle and Murrah buffaloes of a closed organized herd. Indian Journal of Animal Sciences 80(5): 467–69.

Mammadova N M and Keskin I. 2015. Application of neural network and adaptive neuro-fuzzy inference system to predict subclinical mastitis in dairy cattle. Indian Journal of Animal Research 49(5): 671–79. DOI: https://doi.org/10.18805/ijar.5581

Manoj J and Singh M K. 2020. Seasonal prevalence and antibiogram studies of bovine mastitis in Southern Haryana. Journal of Animal Research 10(6): 1037–42. DOI: https://doi.org/10.30954/2277-940X.06.2020.24

Ogola H and Shitanua J. 2007. Effect of mastitis on raw milk compositional quality. Journal of Veterinary Science 8(3): 237– 42. DOI: https://doi.org/10.4142/jvs.2007.8.3.237

Panchal I, Sawhney I K and Dang A K. 2016b. Relation between electrical conductivity, dielectric constant, somatic cell count and some other milk quality parameters in diagnosis of subclinical mastitis in Murrah buffaloes. Indian Journal of Dairy Science 69(3): 267–71.

Panchal I, Sawhney I K, Sharma A K and Dang A K. 2016a. Classification of healthy and mastitis Murrah buffaloes by application of neural network models using yield and milk quality parameters. Computers and Electronics in Agriculture 127: 242–48. DOI: https://doi.org/10.1016/j.compag.2016.06.015

Petzer I M, Karzis J, Donkin E F, Webb E C and Etter E. 2017. Somatic cell count thresholds in composite and quarter milk samples as indicator of bovine intramammary infection status. Journal of Veterinary Research 84: 12–69. DOI: https://doi.org/10.4102/ojvr.v84i1.1269

Purohit G N, Gaur M and Shekher C. 2014. Mammary gland pathologies in the parturient buffalo. Asian Pacific Journal of Reproduction 3(4): 322–36. DOI: https://doi.org/10.1016/S2305-0500(14)60048-8

Sharma N, Rho G J, Hong Y H, Kang T Y, Lee H K, Hur T Y and Jeong D K. 2012. Bovine mastitis: An asian perspective. Asian Journal of Animal and Veterinary Advances 7: 454–76. DOI: https://doi.org/10.3923/ajava.2012.454.476

Sharma N, Singh N K and Bhadwal M S. 2011. Relationship of somatic cell count and mastitis: An overview. Asian Australasian Journal of Animal Sciences 24: 429–38. DOI: https://doi.org/10.5713/ajas.2011.10233

Singh K, Mishra K K, Shrivastava N, Jha A K and Ranjan R. 2021. Prevalence of sub-clinical mastitis in dairy cow of Rewa district of Madhya Pradesh. Journal of Animal Research 11(1): 89–95. DOI: https://doi.org/10.30954/2277-940X.01.2021.11

Srivastava A K, Manimaran A and Prasad S. 2015. Mastitis in Dairy Animals: An Update. Satish Serial Publishing House, New Delhi, India.

Syridion D, Layek S S, Behera K, Mohanty T K, Kumaresan A, Manimaran A, Dang A K and Prasad S. 2014. Effects of parity, season, stage of lactation, and milk yield on milk somatic cell count, pH and electrical conductivity in crossbred cows reared under subtropical climatic conditions. Milchwissenschaft 67(4): 362–65.

Vida J, Arunas J and Ruta M. 2004. Relationship between somatic cell counts and milk production or morphological traits of udder in black and white cows. Turkish Journal of Veterinary and Animal Sciences 30: 47–51.