Comparative analyses of enteric methane emissions, dry matter intake and milk somatic cell count in different residual feed intake categories of dairy cows

2020 ◽  
Author(s):  
Dagnachew Hailemariam ◽  
Ghader Manafiazar ◽  
John A. Basarab ◽  
Paul Stothard ◽  
Filippo Miglior ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Feed Intake ◽  
Somatic Cell Count ◽  
Dry Matter ◽  
Residual Feed Intake ◽  
Dry Matter Intake ◽  
Milk Traits

This study compared the different residual feed intake (RFI) categories of lactating Holsteins with respect to methane emission, dry matter intake (kg), milk somatic cell count (SCC, 103/mL) and β-hydroxybutyrate (BHB, mmol/L). RFI was calculated in 131 lactating Holstein cows that were then categorized into –RFI (RFI<0) vs. +RFI (RFI>0) and low (RFI<-0.5 SD) vs. high RFI (RFI>0.5 SD) groups. Milk traits were recorded in 131 cows while CH4 and CO2 were measured in 83. Comparisons of –RFI vs. +RFI and low vs. high RFI showed 7.8% (22.3±0.40 vs. 24.2±0.39) and 12.9% (21.1±0.40 vs. 24.2±0.45) decrease (P<0.05) in DMI of –RFI and low RFI groups, respectively. Similarly, –RFI and low RFI cows had lower (P<0.05) CH4 (g/d) by 9.7% (343.5±11.1 vs. 380.4±10.9) and 15.5% (332.5±12.9 vs. 393.5±12.6) respectively. Milk yield was not different (P>0.05) in –RFI vs. +RFI and low vs. high comparisons. The –RFI and low RFI cows had lower (P<0.05) SCC in –RFI vs. +RFI and low RFI vs. high RFI comparisons. BHB was lower (P<0.05) in low RFI compared to the high RFI group. Low RFI dairy cows consumed less feed, emitted less methane (g/d), and had lower milk SCC and BHB without differing in milk yield.

scholarly journals Effect of Somatic Cell Count on Milk Yield and Composition of First and Second Lactation Dairy Cows

2015 ◽  
Vol 14 (1) ◽  
pp. 3646 ◽  
Author(s):  
Mahmut Cinar ◽  
Ugur Serbester ◽  
Ayhan Ceyhan ◽  
Murat Gorgulu
Keyword(s):  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count

Hygienic quality, milk yield and basic composition of sheep milk depending on the stage of lactation

2016 ◽  
Vol 12 (1) ◽  
pp. 9-15
Author(s):  
Sylwia Bielińska-Nowak ◽  
Grażyna Czyżak-Runowska
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Dry Matter ◽  
Microbiological Quality ◽  
Basic Composition ◽  
Stage Of Lactation ◽  
Sheep Milk

The aim of the study was to determine the influence of the stage of lactation on the yield and quality of sheep milk. The material for the investigation was milk from morning milking of 30 East Friesian sheep in their third to fifth lactation. Milking began after the lambs were weaned and continued for about 120 days. Milk samples were collected individually from the sheep in three stages of lactation: at its peak, during the stabilized stage and at the end (late) lactation. Daily milk yield, total bacterial count, somatic cell count and the basic composition of the milk were determined. The microbiological quality of the milk was very high and the somatic cell count was favourable. As lactation progressed the somatic cell count increased while microbiological quality remained stable. At the end of lactation a significant increase was noted in the concentration of dry matter, protein and fat, accompanied by a decrease in lactose concentration, in comparison with the peak of lactation. Yield was shown to be negatively correlated with fat (–0.63; p≤0.01) and dry matter (–0.53; p≤0.01) and positively correlated with lactose (0.61; p≤0.01).

scholarly journals The Use of Teat-End Hyperkeratosis to Predict Somatic Cell Count and Milk Quality of Holstein Cows Raised in Egypt

2021 ◽  
Vol 44 (2) ◽  
pp. 213-221
Author(s):  
S. Abdelghany ◽  
N. H. Fahim ◽  
F. Samir ◽  
M. A. Radwan
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Digital Camera ◽  
Holstein Cows ◽  
Simple Linear Regression ◽  
Milk Traits ◽  
Unit Increase

The study aimed to investigate the association between teat-end hyperkeratosis (THK) and somatic cell count (SCC) and to assess the effect of SCC on milk yield, fat, and protein percentages of Holstein cows. A total of 740 udder quarters of 185 Holstein cows kept in three commercial herds in Egypt were enrolled in the study from May to September 2019. Foremilk samples were collected from udder quarters for assessing milk SCC, fat, and protein percentages. On the same cows, a digital picture of each teat end orifice was taken with a digital camera. Cows’ teats were assessed for THK and classified into two different groups of hyperkeratosis; mild and severe THK. SCC was converted to five classes of somatic cell score (SCS). Simple linear regression was performed to determine the loss of milk yield, fat, and protein percentages. SCC was significantly affected by THK (p<0.0001). About 57% of teats were classified as mild THK and 43% as severe THK. The teats with severe THK recorded higher SCC in milk. It was observed that SCS had a significant effect on fat and protein percentages (p<0.0001). A similar trend was shown for the effect of SCS on milk yield (p<0.05), where the highest values of milk traits were obtained for the lowest SCS. The loss of milk was 220 g/day. Also, fat and protein percentages decreased by 0.11% and 0.08%, respectively, for each unit increase in SCS, from zero to four. In conclusion, severe THK can lead to high SCC, which negatively affects milk traits.

scholarly journals Effect of Sulfur and Urea Fortification of Fresh Cassava Root in Fermented Total Mixed Ration on the Improvement Milk Quality of Tropical Lactating Cows

2020 ◽  
Vol 7 (3) ◽  
pp. 98
Author(s):  
Chanadol Supapong ◽  
Anusorn Cherdthong
Keyword(s):  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Crude Protein ◽  
Milk Quality ◽  
The Body ◽  
Total Mixed Ration ◽  
Cassava Root

The aim of the present research was to determine the influence of sulfur and urea combined with fresh cassava root in fermented total mixed ration (FTMR) on digestibility, fermentation in the rumen, blood metabolite, milk yield, and milk quality in tropical lactating dairy cows. Four mid-lactation Thai Holstein–Friesian crossbred cows were studied. Pre-experiment milk yield was 12.7 ± 0.30 kg/day, and the body weight was 495 ± 40.0 kg. Animals were evaluated in a 2 × 2 factorial in a 4 × 4 Latin square design to receive diets followed by: factor A, which was a dose of sulfur inclusion at 1.0% and 2.0%, and factor B, which was level of urea inclusion at 1.25% and 2.5% DM in FTMR. The hydrogen cyanide (HCN) concentrations reduced 99.3% to 99.4% compared with fresh cassava root when FTMR was supplemented with 1.0% and 2.0% sulfur, respectively. Intake of crude protein was increased based on urea level addition (p < 0.05). Blood thiocyanate concentration was increased by 21.6% when sulfur was supplemented at 2.0% compared to 1.0% (p < 0.05). There was no difference in protozoal concentration, whereas bacterial populations at 4 h after feeding were significantly greater by 6.1% with the FTMR supplemented with 2.0% sulfur and 2.5% urea (p < 0.01). Allantoin concentrations, excretion, absorption, and microbial crude protein showed significant interactions between sulfur levels and urea levels in cows fed diets supplemented with 2.0% sulfur and 2.5% urea (p < 0.05). The molar ratios of the volatile fatty acid (VFA) profile were affected by dietary FTMR (p < 0.01). Furthermore, propionic acid increased by 4.6% when diets were supplemented by 2.5% sulfur (p < 0.01). Milk fat and total solids increased when feed was supplemented with 2.0% sulfur and 2.5% urea (p < 0.05). The diets supplemented with 2.0% sulfur levels resulted in greater concentrations of milk thiocyanate (p < 0.05). The somatic cell count was significantly reduced throughout the experiment with increasing sulfur supplementation (p < 0.05). Animals fed diets supplemented with 2.0% sulfur exhibited a decreased somatic cell count by 18.3% compared with those fed diets supplemented with 1.0% sulfur. Thus, inclusion of 2.0% sulfur with 2.5% urea in FTMR containing fresh cassava root improved digestibility, ruminal fermentation, microbial crude protein synthesis, and milk qualities in dairy cows.

scholarly journals A cohort study of the effect of Streptococcus agalactiae on milk yield and somatic cell count in Norwegian dairy cows

2019 ◽  
Vol 102 (9) ◽  
pp. 8385-8399 ◽  
Author(s):  
Ingrid H. Holmøy ◽  
Ingrid Toftaker ◽  
Carsten Kirkeby ◽  
Olav Østerås ◽  
Hannah J. Jørgensen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Streptococcus Agalactiae ◽  
Somatic Cell Count ◽  
Norwegian Dairy

scholarly journals Genetic Aspects of Somatic Cell Count in Holstein Dairy Cows in Iran

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1637
Author(s):  
Hadi Atashi ◽  
Miel Hostens
Keyword(s):  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Genetic Correlation ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Random Regression ◽  
Fat Percentage ◽  
Protein Percentage ◽  
Holstein Dairy Cows

The aim of this study was to estimate the genetic parameters of somatic cell count (SCC) and its relationship with production traits in the first three parities in Iranian Holstein dairy cows. Data were 1,891,559 test-day records of SCC, milk yield, and milk compositions on 276,217 lactations on 147,278 cows distributed in 134 herds. The number of test-day records in the first, second and third parities were 995,788 (on 147,278 cows), 593,848 (on 85,153 cows), and 301,923 (on 43,786 cows), respectively. Test-day SCCs were transformed to somatic cell scores (SCS). A random regression test-day animal model through four-trait three-lactation was used to estimate variance components for test-day records of SCS and lactation traits were included. Gibbs sampling was used to obtain marginal posterior distributions for the various parameters using a single chain of 200,000 iterates in which the first 50,000 iterates of each chain were regarded as a burn-in period. The mean heritability estimates for SCS (0.15 to 0.18) were lower than those for milk yield (0.36 to 0.38), fat yield (0.30 to 0.31), protein yield (0.31 to 0.32), fat percentage (0.21 to 0.25), and protein percentage (0.21 to 0.22). Low negative genetic correlations ranging from −0.05 to −0.30 were found between SCS and yield traits (milk, fat, and protein yields). The genetic correlation found between SCS and fat percentage was close to zero, however, a low positive genetic correlation ranging from 0.12 to 0.17 was found between SCS and protein percentage. Based on the results, it can be concluded that genetic selection for decreasing SCS would also increase lactation yield. The estimates found in this study can be used to perform breeding value estimations for national genetic evaluations in Iranian Holsteins using a multiple-trait, multiple-lactation random regression model.

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.

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