Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-24T06:04:03.807Z Has data issue: false hasContentIssue false

Seasonal variations in the composition of Holstein cow’s milk and temperature–humidity index relationship

Published online by Cambridge University Press:  11 February 2014

L. Bertocchi
Affiliation:
Istituto Zooprofilattico Sperimentale, Lombardia ed Emilia Romagna, Brescia, Italy
A. Vitali
Affiliation:
Dipartimento di Scienze e Tecnologie per l’Agricoltura, le Foreste, la Natura e l’Energia (DAFNE), Università degli Studi della Tuscia, Viterbo, Italy
N. Lacetera
Affiliation:
Dipartimento di Scienze e Tecnologie per l’Agricoltura, le Foreste, la Natura e l’Energia (DAFNE), Università degli Studi della Tuscia, Viterbo, Italy
A. Nardone
Affiliation:
Dipartimento di Scienze e Tecnologie per l’Agricoltura, le Foreste, la Natura e l’Energia (DAFNE), Università degli Studi della Tuscia, Viterbo, Italy
G. Varisco
Affiliation:
Istituto Zooprofilattico Sperimentale, Lombardia ed Emilia Romagna, Brescia, Italy
U. Bernabucci*
Affiliation:
Dipartimento di Scienze e Tecnologie per l’Agricoltura, le Foreste, la Natura e l’Energia (DAFNE), Università degli Studi della Tuscia, Viterbo, Italy
*
Get access

Abstract

A retrospective study on seasonal variations in the characteristics of cow’s milk and temperature–humidity index (THI) relationship was conducted on bulk milk data collected from 2003 to 2009. The THI relationship study was carried out on 508 613 bulk milk data items recorded in 3328 dairy farms form the Lombardy region, Italy. Temperature and relative humidity data from 40 weather stations were used to calculate THI. Milk characteristics data referred to somatic cell count (SCC), total bacterial count (TBC), fat percentage (FA%) and protein percentage (PR%). Annual, seasonal and monthly variations in milk composition were evaluated on 656 064 data items recorded in 3727 dairy farms. The model highlighted a significant association between the year, season and month, and the parameters analysed (SCC, TBC, FA%, PR%). The summer season emerged as the most critical season. Of the summer months, July presented the most critical conditions for TBC, FA% and PR%, (52 054±183 655, 3.73%±0.35% and 3.30%±0.15%, respectively), and August presented higher values of SCC (369 503±228 377). Each milk record was linked to THI data calculated at the nearest weather station. The analysis demonstrated a positive correlation between THI and SCC and TBC, and indicated a significant change in the slope at 57.3 and 72.8 maximum THI, respectively. The model demonstrated a negative correlation between THI and FA% and PR% and provided breakpoints in the pattern at 50.2 and 65.2 maximum THI, respectively. The results of this study indicate the presence of critical climatic thresholds for bulk tank milk composition in dairy cows. Such indications could facilitate the adoption of heat management strategies, which may ensure the health and production of dairy cows and limit related economic losses.

Type
Full Paper
Copyright
© The Animal Consortium 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aharoni, Y, Ravagnolo, O and Misztal, I 2002. Comparison of lactational responses of dairy cows in Georgia and Israel to heat load and photoperiod. Animal Science 75, 469476.CrossRefGoogle Scholar
Ali, AKA and Shook, GE 1980. An optimum transformation for somatic cell concentration in milk. Journal of Dairy Science 63, 487490.Google Scholar
Barash, H, Silanikove, N, Shamay, A and Ezra, E 2001. Interrelationships among ambient temperature, day length, and milk yield in dairy cows under a mediterranean climate. Journal of Dairy Science 84, 23142320.Google Scholar
Bernabucci, U, Lacetera, N, Ronchi, B and Nardone, A 2002. Effects of hot season on milk protein fractions in dairy cows. Animal Research 51, 2533.Google Scholar
Bernabucci, U, Lacetera, N, Baumgard, LH, Rhoads, RP, Ronchi, B and Nardone, A 2010. Metabolic and hormonal acclimation to heat stress in domesticated ruminants. Animal 4, 11671183.Google Scholar
Bouraoui, R, Lahmar, M, Majdoub, A, Djemali, M and Belyea, R 2002. The relationship of temperature–humidity index with milk production of dairy cows in a Mediterranean climate. Animal Research 51, 479491.CrossRefGoogle Scholar
Brügemann, K, Gernand, E, König von Borstel, U and König, S 2012. Defining and evaluating heat stress thresholds in different dairy cow production systems. Archiv Tierzucht 55, 1324.Google Scholar
Bryant, JR, Lopez-Villalobos, N, Pryce, JE, Holmes, CW, Johnson, DL and Garrick, DJ 2007. Environmental sensitivity in New Zealand dairy cattle. Journal of Dairy Science 90, 15381547.Google Scholar
Canavesi, F, Biffani, S, Finocchiaro, R and Nicolazzi, EL 2009. Changes in selection of Italian Holstein. Interbull Bullettin 40, 108114.Google Scholar
Dalh, GE and Petitclerc, D 2003. Management of photoperiod in the dairy herd for improved production and health. Journal of Animal Science 81, 1117.Google Scholar
Green, MJ, Bradley, AJ, Newton, H and Browne, WJ 2006. Seasonal variation of bulk milk somatic cell counts in UK dairy herds: investigations of the summer rise. Preventive Veterinary Medicine 74, 293308.Google Scholar
Harmon, RJ 1994. Physiology of mastitis and factors affecting somatic cell counts. Journal of Dairy Science 77, 21032112.Google Scholar
Hogan, J and Smith, KL 2012. Managing environmental mastitis. Veterinary Clinics of North America: Food Animal Practice 28, 217224.Google Scholar
Igono, MO, Bjotvedt, G and Sanford-Crane, HT 1992. Environmental profile and critical temperature effects on milk production of Holstein cows in desert climate. International Journal of Biometeorology 36, 7787.CrossRefGoogle ScholarPubMed
Jayarao, BM, Pillai, SR, Sawant, AA, Wolfgang, DR and Hegde, NW 2004. Guidelines for monitoring bulk tank milk somatic cell and bacterial counts. Journal of Dairy Science 87, 35613573.Google Scholar
Jordan, ER 2003. Effects of heat stress on reproduction. Journal of Dairy Science 86, E104E114.Google Scholar
Kelly, CF and Bond, TE 1971. Bioclimatic factors and their measurements. In A guide to environmental research in animals (ed. RG Yeck, RE McDowell, TE Bond, RW Dougherty, TE Hazen, HD Johnson, JE Johnston, CF Kelly, N Pace, SY Smith, LC Ulberg and WO Wilson), pp. 792. National Academic Science, Washington, DC, USA.Google Scholar
Lacetera, N, Bernabucci, U, Scalia, D, Kuzminsky, G, Ronchi, B and Nardone, A 2005. Lymphocyte functions in dairy cows in hot environment. International Journal of Biometeorology 50, 105110.Google Scholar
Lacetera, N, Bernabucci, U, Scalia, D, Basiricò, L, Morera, P and Nardone, A 2006. Heat stress elicits different responses in peripheral blood mononuclear cells from Brown Swiss and Holstein cows. Journal of Dairy Science 89, 46064612.Google Scholar
Nardone, A, Lacetera, N, Ronchi, B and Bernabucci, U 1992. [Effetti del caldo ambientale sulla produzione di latte e sui consumi alimentari di vacche Frisone]. Produzioni Animali 5, 115.Google Scholar
Nardone, A, Ronchi, B, Lacetera, N, Ranieri, MS and Bernabucci, U 2010. Effects of climate changes on animal production and sustainability of livestock systems. Livestock Science 130, 5769.Google Scholar
Nickerson, DM, Facey, DE and Grossman, GD 1989. Estimating physiological thresholds with continuous two-phase regression. Physiological Zoology 62, 866877.Google Scholar
Olde Riekerink, RG, Barkema, HW and Stryhn, H 2007. The effect of season on somatic cell count and the incidence of clinical mastitis. Journal of Dairy Science 90, 17041715.CrossRefGoogle ScholarPubMed
Ravagnolo, O and Misztal, I 2000. Genetic component of heat stress in dairy cattle, parameter estimation. Journal of Dairy Science 83, 21262130.Google Scholar
Ravagnolo, O, Misztal, I and Hoogenboom, G 2000. Genetic component of heat stress in dairy cattle, development of heat index function. Journal of Dairy Science 83, 21202125.CrossRefGoogle ScholarPubMed
Renna, M, Lussiana, C, Malfatto, V, Mimosi, A and Battaglini, LM 2010. Effect of exposure to heat stress conditions on milk yield and quality of dairy cows grazing on Alpine pasture. In Proceedings of 9th European IFSA Symposium, 4–7 July 2010, Vienna, Austria, pp. 1338–1348.Google Scholar
SAS/STAT 2008. User’s Guide: Statistics. Version 9.2. SAS Inst., Inc., Cary, NC.Google Scholar
Schukken, YH, Weersink, A, Leslie, KE and Martin, SW 1993. Dynamics and regulation of bulk milk somatic cell counts. Canadian Journal of Veterinary Research 57, 131135.Google Scholar
Segnalini, M, Nardone, A, Bernabucci, U, Vitali, A, Ronchi, B and Lacetera, N 2010. Dynamics of the temperature–humidity index in the Mediterranean basin. International Journal of Biometeorology 55, 253263.Google Scholar
Spiers, DE, Spain, JN, Sampson, JD and Rhoads, RP 2004. Use of physiological parameters to predict milk yield and feed intake in heat-stressed dairy cows. Journal of Thermal Biology 29, 759764.Google Scholar
Stanisiewski, EP, Mellenberger, RW, Anderson, CR and Tucker, HA 1985. Effect of photoperiod on milk yield and milk fat in commercial dairy herds. Journal of Dairy Science 68, 11341140.Google Scholar
StatSoft 2004. STATISTICA (data analysis software system), version 7. StatSoft Inc., Tulsa, OK, USA. www.statsoft.com.Google Scholar
Waage, S, Sviland, S and Ødegaard, SA 1998. Identification of risk factors for clinical mastitis in dairy heifers. Journal of Dairy Science 81, 12751284.Google Scholar
West, JW 2003. Effects of heat-stress on production in dairy cattle. Journal of Dairy Science 86, 21312144.Google Scholar
West, JW, Mullinix, BG and Bernard, JK 2003. Effects of hot, humid weather on milk temperature, dry matter intake, and milk yield of lactating dairy cows. Journal of Dairy Science 86, 232242.Google Scholar
Supplementary material: File

Bertocchi Supplementary Material

Figure S1

Download Bertocchi Supplementary Material(File)
File 767.5 KB
Supplementary material: File

Bertocchi Supplementary Material

Figure S2

Download Bertocchi Supplementary Material(File)
File 150.5 KB
Supplementary material: File

Bertocchi Supplementary Material

Figure S3

Download Bertocchi Supplementary Material(File)
File 213.5 KB