scholarly journals Associations of postpartum lying time with culling, milk yield, cyclicity, and reproductive performance of lactating dairy cows

2019 ◽  
Vol 102 (4) ◽  
pp. 3362-3375 ◽  
Author(s):  
J.M. Piñeiro ◽  
B.T. Menichetti ◽  
A.A. Barragan ◽  
A.E. Relling ◽  
W.P. Weiss ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Reproductive Performance ◽  
Lactating Dairy Cows

Effect of Herbal Galactogogue (Sanjivani biokseera) on Milk Yield and Milk Constituents in Lactating Kankrej Cattle at Organised Farm

2019 ◽  
Vol 15 (02) ◽  
pp. 39-41
Author(s):  
H H Panchasara ◽  
A B Chaudhari ◽  
D A Patel ◽  
Y M Gami ◽  
M P Patel
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Milk Composition ◽  
Nutritional Requirements ◽  
Not Given ◽  
Distinct Effect ◽  
Lactating Dairy Cows ◽  
Group I ◽  
Effect Of Feeding

The study was conducted to evaluate the effect of feeding herbal galactogogue preparation (Sanjivani biokseera) on the milk yield and milk constituents in lactating Kankrej cows. Thirty-two lactating Kankrej cows in their 1st to 6th lactation were taken for the experiment from 3 days after calving up to 52 days postpartum. All the animals were fed as per the standard seasonally available roughages and concentrates to meet their nutritional requirements. The cows were randomly divided into two uniform groups of 16 cows in each according to initial milk yield and milk composition. The animals in group-I were not given any supplement and served as control. The animals in group-II were given Sanjivani biokseera (Naturewell Industries) @ 60 g per day for 1-month, commencing 3 days after calving, in addition to the usual feeds/fodders. A clear difference was observed in milk yield from day 8 onward of experiment between groups with significant (plessthan0 0.05) higher values from day 16-52 in cows fed herbal galactogogue as compared to control, but no such distinct effect on milk constituents was observed on day 52 when analyzed. The use of herbal galactogogue significantly (p lessthan 0.05) increased the overall average of 52 days milk production, which was 9.34 ± 0.21 lit/day in supplemented as compared to 7.75 ± 0.26 lit/day in control animals. It was concluded that herbal galactogogue (Sanjivani biokseera) could increase milk yield in lactating dairy cows through its galactopoetic property and improved rumen environment.

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 Effects of dietary supplementation of pioglitazone on metabolism, milk yield, and reproductive performance in transition dairy cows

2016 ◽  
Vol 85 (9) ◽  
pp. 1540-1548 ◽  
Author(s):  
Ali Reza Yousefi ◽  
Hamid Kohram ◽  
Ahmad Zare Shahneh ◽  
Mohammad Javad Zamiri ◽  
Ali Akbar Fouladi-Nashta
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Reproductive Performance ◽  
Dietary Supplementation ◽  
Transition Dairy Cows

1265 Association between management practices and reproductive performance of lactating dairy cows

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 610-610
Author(s):  
G. M. Schuenemann ◽  
J. M. Piñeiro ◽  
P. Turiello
Keyword(s):  
Dairy Cows ◽  
Reproductive Performance ◽  
Management Practices ◽  
Lactating Dairy Cows

scholarly journals RELATIONSHIP BETWEEN BLOOD METABOLIC PROFILES AND MILK YIELD ASSOCIATED WITH PARITY AND STAGE OF LACTATION IN CROSSBRED DAIRY COWS IN BANGLADESH

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
L Naher ◽  
M. A. Samad ◽  
S. H. M. F. Siddiki ◽  
M. T. Islam
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Metabolic Profile ◽  
Transition Period ◽  
Dairy Herds ◽  
Metabolic Profiles ◽  
Milk Samples ◽  
Stage Of Lactation ◽  
Lactating Dairy Cows ◽  
Calcium Phosphorus

Background: Cattle cross-breeding program has been launched throughout Bangladesh but this program has still focused mainly on biological rather than economic evaluation. Currently, 30000 dairy farms with mainly cross-bred cows are in operation throughout the country and this intensive dairy farming system with high milk yielding dairy cows is supposed to be associated with high incidence of sub-clinical nutritional and metabolic diseases. Objectives: The objective of this study was to detect the relationship between major blood metabolic profiles and milk yield associated with parity and stage of lactation in cross-bred dairy cows. Materials and Methods: Blood samples of 220 apparently healthy lactating cross-bred dairy cows (HF x L, n = 190; SH x L, n = 20 and JS x L, n = 10) of 10 dairy herds were collected for metabolic profile test (MPT) in Bangladesh during the period from July to November 2016. The major metabolic profiles which are associated with milk fever (calcium, phosphorus & magnesium) and ketosis (glucose) were considered in this study. These biochemical parameters were estimated to detect the influence of risk factors including herds, breeds, parities and lactation age of cross-bred lactating dairy cows by using the commercial kits in spectrophotometer method. Results: The evaluation of the biochemical constituents of 220 cross-bred lactating dairy cows revealed that 30% (n = 66) had hypocalcaemia and 20.45% (n = 45) had hypoglycemia. Significantly lower levels of average calcium (7.93 ± 0.36 mg/dl; p < 0.024) and glucose (43.44 ± 3.63 mg/dl; p < 0.0001) values were recorded in HF x L cross-bred dairy herd of BAUDF, Mymensingh in comparison to other investigated nine dairy herds. The highest milk yield was recorded at 7th parity (16 +- 0.91 liter / day) and 1st week of lactation (17.33 +- 1.09 liter / day) were associated with low mean calcium (8.09 +- 0.85 mg / dl; 6.68 +- 0.13 mg/dl) and glucose (36.45 +- 7.67 mg/dl; 32.31 +- 3.90 mg / dl) levels in comparison to the respective values of different parity and lactation weeks. Conclusions: A relationship between blood metabolic profiles and milk yield associated with herd, breed, parity and lactation stages was recorded in lactating crossbred dairy cows. The evaluation of blood metabolites at different stages of lactation cycle especially at transition period is required to detect the nutritional and metabolic health for optimum milk production and to achieve maximum reproductive potential of high yielding dairy cattle. The readily available milk samples could be used as a biological fluid to monitor the health and nutritional status of dairy cows by using mid-infrared (MIR) spectroscopy method to prevent sub-clinical metabolic disorders. Therefore, well developed laboratories with necessary equipment, test kits and reagent should be provided to perform MPT in both the blood and milk samples for practical uses. Keywords: Compton metabolic profile test, Metabolic profile, Lactating cross-bred cows, Calcium, Phosphorus, Magnesium, Glucose, Parity, Lactation stages

scholarly journals Addition of Clinoptilolite In The Diet Reduces Uterine PMN Leukocytes And Open Days In Multiparous Lactating Dairy Cows Managed In A Mountain Tropical Pasture-Based System

2021 ◽  
Author(s):  
Franklin I Sinchi ◽  
Jenny F. Zuin ◽  
Juan Pablo Garzón ◽  
Gonzalo E. López ◽  
Guido Calle ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Reproductive Performance ◽  
General Linear Model ◽  
Tropical Pasture ◽  
Chi Square ◽  
Lactating Dairy Cows ◽  
Uterine Health ◽  
Pmn Leukocytes ◽  
Chi Square Test ◽  
Subclinical Endometritis

Abstract This study was aimed to assess the effect of adding clinoptilolite in the diet on uterine health and reproductive performance in multiparous lactating dairy cows managed in a tropical pasture-based system above 2500 meters of altitude. Seventy-seven multiparous Holstein crossbred cows were allocated randomly into two groups: clinoptilolite supplemented cows (CLG, n = 42) and non-supplemented cows as control (CG, n = 35). Cows from CLG were supplemented with clinoptilolite from 30 days (50 g/cow/day) before to 60 days after calving (200 g/cow/day). Data were analyzed by general linear model, least squares means and chi-square test of SAS. In CLG cows, percentages of uterine PMN leukocytes (P<0.0001) and proportion of subclinical endometritis (P=0.0187) were lower than in CG. The interval calving to first corpus luteum was shorter (P=0.0759) in CLG than CG, and calving to first service interval was similar between treatments. Cows from CLG became pregnant 35 days earlier than CG cows (P=0.0224). In conclusion, daily addition of clinoptilolite in the diet decreased the proportion of cows with subclinical endometritis and shortened the interval from calving to conception in lactating dairy cows.

scholarly journals The Effect of the Season on the Behavior and Milk Yield of the Czech Fleckvieh Cows

2016 ◽  
Vol 64 (4) ◽  
pp. 1125-1130 ◽  
Author(s):  
Tomáš Černý ◽  
Milan Večeřa ◽  
Daniel Falta ◽  
Gustav Chládek
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Seasonal Influence ◽  
Seasonal Behavior ◽  
Lactating Dairy Cows ◽  
Standing Up ◽  
Humidity Index ◽  
The Subject ◽  
The Right ◽  
Lying Down

The aim of this study was to evaluate the seasonal behavior and milk yield of dairy cows of Czech Fleckvieh cattle. The subject of the monitoring was one section (housed in one quarter of barn) with 103 free cubicle beds with an average of 95 lactating dairy cows of Czech Fleckvieh cattle. In the seasons (spring, summer, autumn, winter) temperature (°C), relative humidity (%) and temperature-humidity index (THI) were monitored. Furthermore, behavioral signs were also observed (a total of 4,940 observations): dairy cows were either lying down (3,432 observations) or standing up (1,508 observations). In the conditions that dairy cows were standing up in the cubicle, up to 585 observations were proved. If dairy cows were standing up outside of the cubicle (923 observations), they were either lying on the left side (1,924 observations) or right side (1,508). Significant seasonal influence was found out (p < 0.05) on the number of dairy cows standing up (a maximum of 410 observations in the spring, a minimum of 342 observations in the summer) and then the number of cows lying both on the left (a maximum of 519 observations in the autumn and a minimum of 444 observations in the spring) and on the right side (a maximum of 415 observations in the winter, a minimum of 320 observations in the autumn). The seasonal influence was no significant (p > 0.05) in the remaining behavioral signs. With regard to milk yield, a significant seasonal influence was proved. The highest milk yield was reached with dairy cows in spring (29.27 kg of milk) and the lowest in the autumn (24.58 kg of milk). No significant differences of milk yield were detected between behavioral signs (p > 0.05). The maximum difference of milk yield was found out up to 1.39 kg between dairy cows lying down on the left side (28.35 kg) and the dairy cows standing up in a cubicle (26.96 kg) in the winter but even this difference was not statistically significant (p > 0.05).

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