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

2019 ◽  
Vol 15 (3) ◽  
pp. 9-21
Author(s):  
Piotr Guliński ◽  
Anna Kłopotowska
Keyword(s):  
Chemical Composition ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Scientific Publications ◽  
Lactation Stage ◽  
Holstein Friesian ◽  
Calving Season ◽  
The Impact

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.

RELATIONSHIPS BETWEEN SPEED OF MILKING AND SOMATIC CELL COUNT AND PRODUCTION IN HOLSTEINS

1983 ◽  
Vol 63 (4) ◽  
pp. 781-789 ◽  
Author(s):  
R. K. MOORE ◽  
J. E. MOXLEY ◽  
B. W. KENNEDY ◽  
E. B. BURNSIDE
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Genetic Correlations ◽  
Heritability Estimate ◽  
Phenotypic Correlations ◽  
Cell Counts ◽  
Holstein Friesian ◽  
The Relationship

Milking speed data were obtained for 2604 Holstein-Friesian cows, identified by sire, in test herds located in Quebec and Ontario. Milk samples were collected from each cow and analyzed for somatic cell count. Completed or projected lactation production records were available for this sample of cows. Two-minute yield and total milking time were adjusted for the effect of milk yield at sampling and the raw cell counts were transformed to the natural log scale. Sire and error variances were obtained by maximum likelihood (ML) methods and used to estimate heritabilities of and correlations between traits. The heritability estimate for the adjusted 2-min. yield, 0.23, was higher than that for the adjusted total milking time (0.13), with the estimates for the two unadjusted measures being intermediate (0.18). The phenotypic correlations between milking speed and somatic cell count were small. However, there were two distinct linear phases to the relationship between the adjusted 2-min yield and cell count. Small but significant phenotypic correlations were observed between unadjusted measures of milking speed and lactation production (0.11–0.22); however, correlations were not significant when adjustments were made for the milk yield at sampling. Genetic correlations between milking speed and somatic cell count were moderate to large and indicated an antagonistic relationship between faster milking speed and cell count. Also, the genetic correlations suggested some antagonism between increasing 2-min yield and lactation production, while the relationship between lactation traits and milking time was small. Key words: Milking speed, somatic cell count, correlations, heritabilities, Holsteins

The relationships between udder-quarter somatic-cell counts and milk and milking parameters in cows managed with an automatic milking system

2020 ◽  
Vol 60 (15) ◽  
pp. 1830
Author(s):  
Beata Sitkowska ◽  
Dariusz Piwczyński ◽  
Magdalena Kolenda
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Mean Values ◽  
Natural Logarithm ◽  
Cell Counts ◽  
Milk Flow ◽  
Lactation Stage ◽  
Milk Performance

Context Some milking parameters such as milk yield, milk flow, milking duration, milk conductivity and somatic-cell count can all be listed as economically important traits in dairy practice. Aims The aim of the study was to investigate the relationships among lactation stage, lactation number, milking season and milk-performance traits at an udder-quarter level, including somatic-cell count (SCC), milk yield (MY), milking duration (MD), time in box (TB), milk flow (MF) and milk conductivity (MC). An additional aim was to analyse milking-parameter levels in milkings with a SCC lower and higher than 400000 cells/mL. Methods The study included an analysis of 1621582 successful milkings obtained from six herds of dairy cattle equipped with milking robots (AMS). Key results The study confirmed that MD and MY differed greatly between front and rear quarters. Rear quarters took longer to be milked but produced more milk. During the first 100 days of lactation, the primiparous cows spent more time in the robot than did multiparous cows; however, in the second and third lactations, older cows were spending more time in the AMS. For primiparous cows, MF increased with time, being the highest at the end of lactation (>200 days in milk). A different trend has been found in the group of multiparous cows, where a steady decrease in MF was observed with subsequent lactation stages. A lower MC was recorded for cows in their first lactation than for multiparous cows. Data obtained from primiparous cows showed the highest MC to occur between 100 and 200 days of lactation. In the group of multiparous cows, MC increased with the lactation stage. It was also shown that the mean values obtained for MY, MD and TB were higher for cows with a lower SCC (<400000). Correlations between lnSCC (the natural logarithm of SCC) and MY and between lnSCC and MD were negative and low, while those between lnSCC and MC and lnSCC and MF were positive. Moderate correlations were found between lnSCC and total MC. Conclusions The study confirmed the differences in the performance of different udder quarters in relation to MY, MD, TB, MF, MS and SCC. Implications AMS provides farmers with vast data on milk and milking parameters. By monitoring changes in these parameters, farmer may be able to predict the level of production of their herd and the health of cows.

scholarly journals Analysis of lactation curves, milk constituents, somatic cell count and urea in milk of cows by the mathematical model of Wood

2011 ◽  
Vol 80 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Marcin Gołębiewski ◽  
Piotr Brzozowski ◽  
Łukasz Gołębiewski
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Dry Matter ◽  
Dairy Herd ◽  
Sufficient Information ◽  
Holstein Friesian ◽  
Lactation Curve ◽  
Daily Milk Yield

Analysis of lactation curves of milk, basic milk constituents, somatic cell count and urea in milk provide sufficient information for efficient dairy herd management and also is significant in genetic evaluation. The aim of the study was to apply the Wood’s model to fit lactation curve of milk yield as well as fat, protein, dry matter, lactose, somatic cell count and urea in cows’ milk. This study was conducted on dairy cows of Montbéliard (n = 686) and Polish Holstein-Friesian (n = 933) breeds. We analyzed data on the above mentioned milk constituents in the samples collected between 1995 and 2007. Data from 5,034 lactations were collected. Type C1 of the curve typical for standard lactation was the most frequent when daily milk yield, lactose and urea were analyzed. However, curves of fat protein and dry matter were described as type C4. The Wood’s model showed the highest accuracy when milk yield and protein content were investigated; poor fitting was observed for fat content. The Wood’s model brought better accuracy for Polish Holstein-Friesian cows compared to Montbéliards. Precision of mathematical models fitting is R2 (adjusted determination coefficient). The highest values of R2 were noticed when lactation and protein curves were investigated. The lowest R2 was determined for urea and somatic cell count.

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

2016 ◽  
Vol 12 (1) ◽  
pp. 17-23
Author(s):  
Piotr Guliński ◽  
Krzysztof Wyszomierski ◽  
Ewa Salamończyk
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Holstein Friesian ◽  
Study Population ◽  
Milk Performance ◽  
Daily Milk Yield ◽  
Daily Milk ◽  
Friesian Cows

The average somatic cell count in the milk analysed was 326,000 cells/ml. For the 4 groups of cows distinguished in the study, with daily milk yield of ≤15 kg, 15-25 kg, 25-35 kg and >35 kg, the somatic cell count was 771,000, 393,000, 240,000 and 180,000 cells/ml, respectively. Statistical analysis revealed significant differences in the somatic cell count in milk from cows with different productivity. A highly significant correlation coefficient was obtained for the daily milk yield of the cows and the somatic cell count in the milk (r=−0.81). The negative coefficient indicates that an increase in the quantity of milk was accompanied by a decrease in the somatic cell count in the milk. The regression equation obtained suggests that in the study population a decline in somatic cell count of 100,000 cells/ml was accompanied by an increase in daily milk yield of 3.8 kg. The analysis showed that there is a negative correlation between SCC and milk yield of cows. An increase in milk yield was found to be accompanied by a decrease in the number of somatic cells in 1 ml of milk, which indicates an improvement in its quality.

scholarly journals Effect of temperament of Jersey and Holstein Friesian cows on milk production traits and somatic cell count (Short Communication)

2011 ◽  
Vol 54 (6) ◽  
pp. 594-599 ◽  
Author(s):  
M. Orbán ◽  
K. K. Gaál ◽  
F. Pajor ◽  
A. Szentléleki ◽  
P. Póti ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Production ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Production Traits ◽  
Holstein Friesian ◽  
Daily Milk Yield ◽  
Daily Milk ◽  
Friesian Cows

Abstract. The aim of present study was to investigate the relationships between temperament score and milk production, as well as somatic cell count in a herd of Jersey and Holstein Friesian breeds. The temperament of 283 Jersey and 69 Holstein Friesian cows were assessed (scored) by the temperament score test (behaviour of animals was assessed in a 5-score system (1: calm, 5: nervous) while spending 30 s on the scale during weighing). The daily milk yield, fat, protein content and somatic cell count were also investigated in this study. Our investigation did not reveal any correlation between daily milk yield and temperament score. But milk somatic cell count was showed positive moderate relation with the temperament scores of Jersey (rrank=0.67; P=0.0001) and Holstein Friesian (rrank=0.66; P=0.0001) cows. Calmer cows had lower somatic cell count (Jersey: 135.40×103/cm3; Holstein Friesian: 176.07×103/cm3) compared to the more temperamental cows (Jersey: 540.44×103/cm3; P=0.0001; Holstein Friesian: 744.91×103/cm3; P=0.0001, resp.).

Milk yield and somatic cell count during the following lactation after selective treatment of cows at dry-off

2011 ◽  
Vol 78 (4) ◽  
pp. 489-499 ◽  
Author(s):  
Päivi J Rajala-Schultz ◽  
Audrey H Torres ◽  
Fred J DeGraves
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Negative Impact ◽  
Clinical Mastitis ◽  
Dairy Herds ◽  
Selective Treatment ◽  
The Impact ◽  
To Receive

Selective dry cow therapy (SDCT) has received increasing attention in recent years owing to global concerns over agricultural use of antimicrobial drugs and development of antimicrobial resistance. The objective of this study was to evaluate the effect of SDCT on milk yield and somatic cell count (SCC) in dairy herds in the USA. Cows in four Ohio dairy herds were categorized into two groups (low-SCC and high-SCC) at dry-off based on their SCC and clinical mastitis (CM) history during the lactation preceding the dry-off. Low-SCC cows were randomly assigned to receive or not to receive intramammary antibiotics at dry-off. Milk yield and SCC of these cows during the following lactation were compared using linear mixed effects models, adjusting for parity, calving season, stage of lactation, previous lactation milk yield and herd. Milk yield of untreated and treated low-SCC cows at dry-off did not differ significantly during the following lactation. Overall, treated low-SCC cows had 16% lower SCC (approximately 35 000 cells/ml, P=0·0267) than the untreated cows during the following lactation; however, the effect was variable in different herds. Moreover the impact of treatment, or the lack thereof, on milk yield varied considerably between herds. The results suggested that in some herds treating all cows at dry-off may be beneficial while in other herds leaving healthy cows without antibiotic dry cow treatment has no negative impact on milk yield or milk quality (SCC), and in fact, may be beneficial. Further studies are needed to identify characteristics of herds where treating all cows routinely at dry-off may be needed for maintaining good udder health and where switching to selective treatment of cows at dry-off would be the optimal approach to achieve best results.

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