scholarly journals Effects of feeding frequency and environmental conditions on dry matter intake, milk yield and behaviour of dairy cows milked in conventional or automatic milking systems

2012 ◽  
Vol 11 (3) ◽  
pp. e42 ◽  
Author(s):  
Luciana Bava ◽  
Alberto Tamburini ◽  
Chiara Penati ◽  
Elisabetta Riva ◽  
Gabriele Mattachini ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Environmental Conditions ◽  
Dry Matter ◽  
Dry Matter Intake ◽  
Feeding Frequency ◽  
Automatic Milking ◽  
Automatic Milking Systems

scholarly journals Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times Per Day

Animals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 104
Author(s):  
Shulin Liang ◽  
Chaoqun Wu ◽  
Wenchao Peng ◽  
Jian-Xin Liu ◽  
Hui-Zeng Sun
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Dry Matter ◽  
Prediction Equation ◽  
Dry Matter Intake ◽  
Validation Dataset ◽  
Nutrient Requirements ◽  
Independent Dataset ◽  
Lactating Dairy Cows ◽  
Proposed Model

The objective of this study was to evaluate the feasibility of using the dry matter intake of first 2 h after feeding (DMI-2h), body weight (BW), and milk yield to estimate daily DMI in mid and late lactating dairy cows with fed ration three times per day. Our dataset included 2840 individual observations from 76 cows enrolled in two studies, of which 2259 observations served as development dataset (DDS) from 54 cows and 581 observations acted as the validation dataset (VDS) from 22 cows. The descriptive statistics of these variables were 26.0 ± 2.77 kg/day (mean ± standard deviation) of DMI, 14.9 ± 3.68 kg/day of DMI-2h, 35.0 ± 5.48 kg/day of milk yield, and 636 ± 82.6 kg/day of BW in DDS and 23.2 ± 4.72 kg/day of DMI, 12.6 ± 4.08 kg/day of DMI-2h, 30.4 ± 5.85 kg/day of milk yield, and 597 ± 63.7 kg/day of BW in VDS, respectively. A multiple regression analysis was conducted using the REG procedure of SAS to develop the forecasting models for DMI. The proposed prediction equation was: DMI (kg/day) = 8.499 + 0.2725 × DMI-2h (kg/day) + 0.2132 × Milk yield (kg/day) + 0.0095 × BW (kg/day) (R2 = 0.46, mean bias = 0 kg/day, RMSPE = 1.26 kg/day). Moreover, when compared with the prediction equation for DMI in Nutrient Requirements of Dairy Cattle (2001) using the independent dataset (VDS), our proposed model shows higher R2 (0.22 vs. 0.07) and smaller mean bias (−0.10 vs. 1.52 kg/day) and RMSPE (1.77 vs. 2.34 kg/day). Overall, we constructed a feasible forecasting model with better precision and accuracy in predicting daily DMI of dairy cows in mid and late lactation when fed ration three times per day.

scholarly journals Comparison of yield, composition and quality of milk of Polish Holstein-Friesian cows in conventional and automatic milking systems

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Magdalena Kolenda ◽  
Dariusz Piwczyński ◽  
Marcin Brzozowski ◽  
Beata Sitkowska ◽  
Piotr Wójcik
Keyword(s):  
Milk Yield ◽  
Dry Matter ◽  
Fat Content ◽  
Urea Content ◽  
Holstein Friesian ◽  
Automatic Milking ◽  
Automatic Milking Systems ◽  
Quality Of Milk ◽  
L1 And L2 ◽  
Friesian Cows

AbstractThe aim of the present study was to evaluate the changes in selected production and functional traits of Polish Holstein-Friesian cows after switching from a conventional (CMS) to an automatic milking system (AMS). The study consisted of 3398 Polish Holstein- Friesian dairy cows, from 16 herds in which CMS was changed to AMS. Cows were in their 1st (L1) or 2nd lactation (L2). The data consisted of milk yield [MY, kg], fat content [FC, %], protein content [PC, %], dry matter [DM, %], lactose content [LC, %], urea content [MU, mg/l], somatic cell count [SCC, thous./ml] and score [SCS, log]. The milking system had a significant impact on milk yield, fat, lactose, dry matter and urea contents. Regardless of lactation number, milk derived from CMS was characterised by higher values for FC, PC, DM SCC and SCS, while milk from AMS had higher MY, LC and MU. Multifactor analysis of variance also confirmed significant effect of herd, season, herd × milking system interaction on SCS in milk of cows in L1. In the studied herds change from CMS to AMS was evaluated separately for cows in L1 and L2. The transitioning from CMS to AMS resulted in the decrease of fat content in 6 L1 and 7 L2 herds, dry matter in 8 L1 and 5 L2 herds. SCS in milk also decreased in 4 L1 and 5 L2 herds. The change caused the increase of MY in 11 L1 and 9 L2 herds, lactose content in 6 L1 and 4 L2 herds and urea content in 9 L1 and 10 L2 herds. AMS may positively affect milk yield and health status, however, the change of milking system should be also accompanied by the change in herd management.

scholarly journals Non-structural carbohydrates in the nutrition of high-yielding dairy cows during a transition period

2010 ◽  
Vol 55 (No. 11) ◽  
pp. 468-478 ◽  
Author(s):  
K. Poláková ◽  
V. Kudrna ◽  
A. Kodeš ◽  
B. Hučko ◽  
Z. Mudřík
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Body Condition ◽  
Dry Matter ◽  
Rumen Fluid ◽  
Live Weight ◽  
Dry Matter Intake ◽  
Control Group ◽  
Maize Starch ◽  
Milk Performance

The main aim of this study was to investigate experimentally the effect of different composition of non-structural carbohydrates (NFC) in prepartum feed rations administered to high-yielding dairy cows at a high concentration of NFC in the diet on dry matter intake both before and after parturition and on subsequent milk performance, body condition and physiological traits of rumen fluid and blood. Thirty-six high-yielding dairy cows were allocated into one of the three well-balanced groups (K, O, and C), and each group received a different feeding rations. Feeding rations differed in non-structural carbohydrate (NFC) structure. The "K" (control) group received a feeding ration with NFC in the form of maize starch in particular, while the feeding rations of the other two (experimental) groups contained either (besides maize starch) saccharose from dried sugar beet (the "O" group) or a dominant amount of NFC was in the form of saccharose (the "C" group). After calving, all dairy cows were given the same feeding ration from the first day after parturition. The experiment was conducted for 21 days before and 50 days after calving. FR in the form of total mixed ration was offered ad libitum. Dry matter intake, milk performance, body condition, live weight, and blood and rumen parameters were recorded for the duration of the experiment. Average daily dry matter intake before calving was highest in the "K" group (14.32 kg per head). Differences among groups were statistically significant (P < 0.05). Prepartum dry matter consumption dropped as the rate of saccharose in the diet of cows increased. Dry matter consumption levelled off after calving. Milk yield was also highest in the "K" group (43.71 kg/head/day), but fatness of milk and thus the production of fat corrected milk were lowest in this group. The highest milk fat content (4.10%) and fat corrected milk production (44.03 kg/head/day) were recorded in the "C" group, whereas the highest milk protein concentration was found in the milk of the "O" group. The composition of NFC affected dry matter intake before parturition, but these concentrations did not significantly affect dry matter intake, milk yield, milk composition, live weight, body condition or blood serum and rumen fluid parameters after calving

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.

Effect of low light intensity at night on cow traffic in automatic milking systems

2014 ◽  
Vol 54 (10) ◽  
pp. 1784
Author(s):  
Fanny Hjalmarsson ◽  
Ingemar Olsson ◽  
Sabine Ferneborg ◽  
Sigrid Agenäs ◽  
Emma Ternman
Keyword(s):  
Light Intensity ◽  
Dairy Cows ◽  
Milk Yield ◽  
Negative Impact ◽  
Night Time ◽  
Low Light ◽  
Milking Frequency ◽  
Automatic Milking ◽  
Automatic Milking Systems ◽  
Reduced Light

Several studies have shown benefits of long-day (16 h) photoperiod in lactating dairy cows, but have not identified a suitable light intensity for the dark hours. It is known that the locomotion pattern of dairy cows is altered at low light intensities and this may translate to reduced cow traffic and milking frequency, which would have a negative impact on system productivity. However, it is also recognised that a significant disturbance of rest may have a negative impact on the health and productivity of high-yielding dairy cows. This study examined the effect of three different night-time light intensities (LOW: 11 ± 3, MED: 33 ± 1 and HIGH: 74 ± 6 lx) on number of gate passages, milking frequency and milk yield in dairy cows in automatic milking systems. The study was conducted in Sweden during the winter of 2012–13 and the treatments were applied in a crossover design to three herds with an automatic milking system. Minimum day time light intensity was 158 lx. Data on gate passages, milking frequency and milk yield for 172 ± 49 (mean ± s.d.) cows during the last 22 days of each 34-day study period were analysed for treatment differences and differences in daily distribution over 24 h, during day time and night time. Light intensity did not affect total number of gate passages per 24-h period and cow, but number of gate passages per hour and cow was in all treatments lower during night time than during day time. Milking frequency was increased in MED compared with both HIGH and LOW (P < 0.05). Milk yield decreased with reduced light intensity, and differed significantly between HIGH and LOW treatments, 45 ± 1 kg and 44 ± 1 kg, respectively (P < 0.001). Our conclusion is that reducing light intensity to 11 lx at night time does not affect cows’ general activity as gate passages remained the same for all treatments. However, milk yield decreased with reduced light intensity, which might be related to a lower feed intake. We argue that providing night light for dairy cows, as required by many welfare acts, might be related to production level rather than welfare aspects and that the recommendations should be revised.

Effect of post-ruminal infusion of glutamine on plasma amino acids, milk yield and composition in lactating dairy cows

2001 ◽  
Vol 81 (2) ◽  
pp. 229-235 ◽  
Author(s):  
J. C. Plaizier ◽  
J. -P. Walton ◽  
B. W. McBride
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Blood Plasma ◽  
Dairy Cows ◽  
Milk Yield ◽  
Dry Matter ◽  
Milk Composition ◽  
Plasma Amino Acid ◽  
Dry Matter Intake ◽  
Plasma Amino Acids

The objectives of this study were to examine the effect of supplying post-ruminal L-glutamine in mid-lactation Holstein dairy cows on plasma amino acid profile, dry matter intake, milk yield and milk composition. The experiment was designed as a 4 × 4 Latin square with four 2-wk periods. Cows were continuously infused post-ruminally with graded levels of L-glutamine (L-Gln) for 5 consecutive days during the second week of each period. During the last 24 h of the infusion, blood plasma was collected every 6 h for the determination of plasma amino acid concentrations. Plasma Gln concentration increased (P < 0.05) with increasing L-Gln daily infusions. Infusion of 0, 100, 200, and 300 g d–1 resulted in blood plasma Gln concentrations of 289.5, 299.2, 356.4 and 386.2 mmol L–1, respectively. The level of Gln infusion also resulted in a decrease in the blood plasma concentration of phenylalanine, but the concentrations of all other amino acids were not affected. The administration of Gln did not affect dry matter intake, milk yield and milk composition. Key words: Post-ruminal, L-glutamine, plasma amino acids, milk constituents

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