» Articles » PMID: 37893929

Quantitative Associations Between Season, Month, and Temperature-Humidity Index with Milk Yield, Composition, Somatic Cell Counts, and Microbial Load: A Comprehensive Study Across Ten Dairy Farms over an Annual Cycle

Overview
Journal Animals (Basel)
Date 2023 Oct 28
PMID 37893929
Authors
Affiliations
Soon will be listed here.
Abstract

This current study addresses the knowledge gap regarding the influence of seasons, months, and THI on milk yield, composition, somatic cell counts (SCC), and total bacterial counts (TBC) of dairy farms in northeastern regions of Iran. For this purpose, ten dairy herds were randomly chosen, and daily milk production records were obtained. Milk samples were systematically collected from individual herds upon delivery to the dairy processing facility for subsequent analysis, including fat, protein, solids-not-fat (SNF), pH, SCC, and TBC. The effects of seasons, months, and THI on milk yield, composition, SCC, and TBC were assessed using an analysis of variance. To account for these effects, a mixed-effects model was utilized with a restricted maximum likelihood approach, treating month and THI as fixed factors. Our investigation revealed noteworthy correlations between key milk parameters and seasonal, monthly, and THI variations. Winter showed the highest milk yield, fat, protein, SNF, and pH ( < 0.01), whereas both SCC and TBC reached their lowest values in winter ( < 0.01). The highest values for milk yield, fat, and pH were recorded in January ( < 0.01), while the highest protein and SNF levels were observed in March ( < 0.01). December marked the lowest SCC and TBC values ( < 0.01). Across the THI spectrum, spanning from -3.6 to 37.7, distinct trends were evident. Quadratic regression models accounted for 34.59%, 21.33%, 4.78%, 20.22%, 1.34%, 15.42%, and 13.16% of the variance in milk yield, fat, protein, SNF, pH, SCC, and TBC, respectively. In conclusion, our findings underscore the significant impact of THI on milk production, composition, SCC, and TBC, offering valuable insights for dairy management strategies. In the face of persistent challenges posed by climate change, these results provide crucial guidance for enhancing production efficiency and upholding milk quality standards.

Citing Articles

Assessment of Heat Processing Effects on Cortisol Concentration in Dairy Milk Products.

Ataallahi M, Park G, Nugrahaeningtyas E, Park K Food Sci Anim Resour. 2024; 44(6):1453-1461.

PMID: 39554820 PMC: 11564145. DOI: 10.5851/kosfa.2024.e36.


The Characteristics of Milk Fatty Acid Profile Predicted by Fourier-Transform Mid-Infrared Spectroscopy (FT-MIRS) in Chinese Holstein Cows.

Li C, Wang H, Fan Y, Zhou Z, Li Y, Liang S Animals (Basel). 2024; 14(19).

PMID: 39409734 PMC: 11475611. DOI: 10.3390/ani14192785.


Distribution of Bovine Mastitis Pathogens in Quarter Milk Samples from Bavaria, Southern Germany, between 2014 and 2023-A Retrospective Study.

Bechtold V, Petzl W, Huber-Schlenstedt R, Sorge U Animals (Basel). 2024; 14(17).

PMID: 39272289 PMC: 11394622. DOI: 10.3390/ani14172504.


Heat Stress Effects on Physiological and Milk Yield Traits of Lactating Holstein Friesian Crossbreds Reared in Tanga Region, Tanzania.

Habimana V, Nguluma A, Nziku Z, Ekine-Dzivenu C, Morota G, Mrode R Animals (Basel). 2024; 14(13).

PMID: 38998026 PMC: 11240610. DOI: 10.3390/ani14131914.


Milk microbiota of Holstein Friesian cattle reared in Lahore: Association with mastitis.

Salman M, Nawaz M, Yaqub T, Mushtaq M Saudi J Biol Sci. 2024; 31(6):103984.

PMID: 38633360 PMC: 11021365. DOI: 10.1016/j.sjbs.2024.103984.

References
1.
Alhussien M, Dang A . Milk somatic cells, factors influencing their release, future prospects, and practical utility in dairy animals: An overview. Vet World. 2018; 11(5):562-577. PMC: 5993762. DOI: 10.14202/vetworld.2018.562-577. View

2.
Bokharaeian M, Toghdory A, Ghoorchi T . Effects of dietary curcumin nano-micelles on growth performance, blood metabolites, antioxidant status, immune and physiological responses of fattening lambs under heat-stress conditions. J Therm Biol. 2023; 114:103585. DOI: 10.1016/j.jtherbio.2023.103585. View

3.
MHamdi N, Darej C, Attia K, El Akram Znaidi I, Khattab R, Djelailia H . Modelling THI effects on milk production and lactation curve parameters of Holstein dairy cows. J Therm Biol. 2021; 99:102917. DOI: 10.1016/j.jtherbio.2021.102917. View

4.
Khastayeva A, Zhamurova V, Mamayeva L, Kozhabergenov A, Karimov N, Muratbekova K . Qualitative indicators of milk of Simmental and Holstein cows in different seasons of lactation. Vet World. 2021; 14(4):956-963. PMC: 8167536. DOI: 10.14202/vetworld.2021.956-963. View

5.
Cartwright S, Schmied J, Karrow N, Mallard B . Impact of heat stress on dairy cattle and selection strategies for thermotolerance: a review. Front Vet Sci. 2023; 10:1198697. PMC: 10319441. DOI: 10.3389/fvets.2023.1198697. View