Relationship between somatic cell count and milk performance of Polish Holstein-Friesian cows

Guliński, P.; Wyszomierski, K.; Salamończyk, Ewa

doi:10.5604/01.3001.0013.6977

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…In own studies, more milk was yielded from cows in the first half of the lactation period. Jakiel, Jesiolkiewicz, and Ptak (2011) demonstrated an increase in milk yield up to the sixth month of lactation, after that period a decline in productivity was recorded. In other studies (Edwards et al, 2014), milk yield was the highest in the initial phase of lactation.…”

Section: Milk Yield and Milking Frequencymentioning

confidence: 96%

Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees

Piwczyński

Sitkowska

Kolenda

et al. 2020

Animal Science Journal

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The situation on the dairy market and perspectives of change related to global dairy industry trends force breeders to intensively develop their farms as regards the implementation of new technology. The last several decades saw the implementation of new milking systems, such as the automatic milking system (AMS). Since the beginning of the 21st century the AMS has become an increasingly popular system in Europe (Koning & Rodenburg, 2004) as it offered the possibility of reducing labor and of adjusting the milking frequency to the animal's individual preferences and, theoretically, resulted in higher productivity of animals (Hayashi & Kawamura, 2002; Hogeveen, Ouweltjes, De Koning, & Stelwagen, 2001). The intensive growth of this market branch may be indicated by the fact that by 2017 one of the companies has installed more than 25,000 AMS (Lely, 2017). The most common reasons cattle breeders decide to install AMS on their farms is to decrease manual labor and to increase the milk yield of cows (Svennersten-Sjaunja & Pettersson, 2008). The profitability of milk production at a farm with AMS depends predominantly on the milk yield, which may be affected by a number of other factors, including: milking time and frequency, number of cows and milk flow rate, type of barn, traffic type, lying stalls, and feeding area (André, Berentsen, Engel, de Koning, &

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Section: Milk Yield and Milking Frequencymentioning

confidence: 96%

Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees

Piwczyński

Sitkowska

Kolenda

et al. 2020

Animal Science Journal

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“…The animals were fed with silage, corn silage, and grain by-products. In line with the mastitis severity scoring provided by the Polish Society of Animal Production (Polskie Towarzystwo Zootechniczne) PZH, udder quarters were examined and the somatic cell count (SCC) in animal milk was monitored to determine the animals' suitability for the study (Jakiel et al 2011). Based on the health status of each animal fifteen heads of dairy cattle were selected and divided into three groups (five animals in each).…”

Section: Animals and Ethics Statementmentioning

confidence: 99%

Polish Journal of Veterinary Sciences

Šerstņova¹,

Pilmane²,

Vitenberga-Verza³

et al. 2022

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Great economic losses to the dairy industry are associated with bovine mastitis, which results in poor milk quality and high treatment costs. Anti-inflammatory proteins play an important role in the suppression of the immune response against invading pathogenic microorganisms and are therefore being studied for possible use in the early diagnosis of mastitis. In our study, we used milk samples from 15 cows of Holstein Friesian breed with different health status (5 healthy, 5 subclinical, and 5 clinical animals), and tested them using immunohistochemical (IHC) analysis to evaluate the presence of IL-2, IL-10, TGF-β1, βDEF-2, DEF-3, and Cathelicidin LL37 proteins. The calculation of positively and negatively stained cells for each biomarker was performed using the semiquantitative counting method. We found the presence of all factors with the exception of Cathelicidin LL37, which was almost absent in milk samples of all animal groups. The significant decrease of IL-10, β-def2, and β-def3 expression levels within the 3 days of sampling, found in the milk of animals with sub-and clinical mastitis, indicates the loss of antiinflammatory protection of the affected cow's udder. In contrast, the stable increase of IL-2 and TGF-β1 positive cells observed in the milk of mastitis-affected cows, and the similar expression of these factors in the milk of healthy animals, indicate the possible lack of involvement of these cytokines at an early stage of udder inflammation.

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An attempt to develop a method for determining the typical chemical composition of the milk of Polish Holstein-Friesian cows – a proposal

Guliński

Kłopotowska

2019

Roczniki Naukowe Polskiego Towarzystwa Zootechnicznego

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The aim of this paper is to develop a method for determining the typical chemical composition of the milk of Polish Holstein-Friesian (PHF) cows. The paper uses data collected from 1329 test-day milking records from 20 herds of PHF dairy cattle in Sokołów County, from 2009 to 2015. The effect of the following factors on the chemical composition of milk was determined: lactation stage (15 one-month stages); age of cows (lactations 1, 2, 3–4, and 5–7); genotype (share of PHF breed: less than 50%, 50–75%, 75–82.5% and more than 82.5%); somatic cell count (SCC) in 1 ml of milk (in thousands: 0–200, 200–400, 400–1000 and more than 1000); feeding level (fat to protein (F/P) ratio): ≤1.0, 1.0–1.4, 1.4–1.7 and >1.7); calving season (autumn/winter, spring/summer) and daily milk yield (milk yield in kg: ≤15, 15–25, 25–35 and >35). Nutrition and udder health status were found to be the main factors influencing the chemical composition of milk. For selected cows with optimally balanced feed rations (F/P ratio in milk from 1.1 to 1.4) and a low somatic cell count (SCC ≤200,000/ml), daily yield was the main factor affecting the chemical composition of the milk. It was also concluded that government and scientific publications on the PHF breed should take into account the impact of the F/P ratio, SCC and yield of milk on its composition.

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Relationship between somatic cell count and milk performance of Polish Holstein-Friesian cows

Cited by 3 publications

References 4 publications

Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees

Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees

Polish Journal of Veterinary Sciences

An attempt to develop a method for determining the typical chemical composition of the milk of Polish Holstein-Friesian cows – a proposal

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