Effect of organic selenium on blood progesterone, metabolites, milk yield and service period of Jersey cows

2020 ◽  
pp. 7-11

The aim of this study was to determine the effect of yeast based organic selenium (Se) on post-partum progesterone concentration, blood metabolites, service period and milk yield. Dairy Jersey cows (n=15) having almost similar body weight, age, parity and body condition score were divided into three groups of equal number. One group served as a control that was given no Se supplementation. Second and third groups were supplemented with Se at the rate of 0.3 and 0.4 mg/kg of dry matter intake, respectively. The results revealed that after parturition, there was significantly (P<0.05) higher concentration of progesterone in Se treated group of Jersey cows (P<0.05). Week wise, concentration of progesterone in blood increased significantly (P<0.05). There was a decrease in length of service period in Se treated groups. Blood concentrations of glucose, cholesterol and triglyceride increased significantly (P<0.05) on weekly basis. However, these blood metabolites did not change significantly between the control and Se treated groups. Milk yield did not change significantly between the control and Se treated groups. The results of current study indicated that supplementation of yeast based organic Se at the rate of 0.4 mg/kg dry matter intake improved the progesterone concentration and decreased the service period but had no effect on blood metabolites and milk yield.

1999 ◽  
Vol 1999 ◽  
pp. 98-98
Author(s):  
E. Molina ◽  
A. Ferret ◽  
G. Caja ◽  
S. Calsamiglia ◽  
J. Gasa

Manchega (MN) and Lacaune (LC) are two semi-coarse-wooled dairy breeds with similar size but different milk yield, the latter producing twice as much milk as the former (Pérez, 1997). The aim of this experiment was to compare, under the same feed conditions, dry matter intake and performance in late pregnancy and lactation and digestive pools of these two breeds.Twenty-four ewes, 12 per breed, were used in three different periods: late pregnancy (8 weeks), rearing (5 weeks) and milking (7 weeks). At lambing, average body weight was 74.4 vs 78.5 kg, for LC and MN, respectively. Dry matter intake (DMI), apparent dry matter digestibility (DMD), body condition score (BCS) and milk yield (MY) standardized according to Bocquier et al. (1993) were recorded.


Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1258
Author(s):  
Mousa Zarrin ◽  
Meysam Sanginabadi ◽  
Mahrokh Nouri ◽  
Amir Ahmadpour ◽  
Lorenzo E. Hernández-Castellano

This study aimed to investigate the effect of prepartum and postpartum feed restriction on body weight (BW), blood metabolites, and hormones as well as colostrum and milk yields and compositions in fat-tailed dairy sheep. In this study, 20 multiparous and pregnant ewes were randomly allocated to either the control (Ctrl; n = 10) or the feed-restricted (FR; n = 10) groups from week −5 to week 5 relative to parturition. Despite dry matter intake being decreased in the FR group compared to the Ctrl throughout both prepartum and postpartum periods, no differences in BW were detected between groups in any of the studied periods. Feed restriction increased both free fatty acids and beta-hydroxybutyrate concentrations during both prepartum and postpartum periods. Similarly, feed restriction increased triglyceride concentration postpartum. Additionally, feed restriction increased insulin and growth hormone and decreased prolactin concentrations during both prepartum and postpartum periods. Feed restriction caused a decreased colostrum yield and a relative increase of the main colostrum components in the FR group. Similarly, milk yield decreased in the FR group compared to the Ctrl group, although milk components were not affected. In conclusion, feed restriction did not affect BW but decreased colostrum and milk yield in fat-tailed dairy sheep.


1996 ◽  
Vol 62 (2) ◽  
pp. 225-231 ◽  
Author(s):  
E. Zerbini ◽  
A. G. Wold ◽  
D. Demissie

AbstractEighteen F1 crossbred dairy cows (Friesian × Boran and Simmental × Boran) were allocated to one of three diet groups (H: natural pasture hay; H+3: natural pasture hay + 3 kg concentrate; and H+5: natural pasture hay + 5 kg concentrate) using a stratified random sampling procedure, with parity, milk production genotype, body weight and body condition score as blocking variables. Cows on each diet were then allocated to three draught forces (7, 11 and 15 kg draught force per 100 kg live weight) in a cross-over design to investigate relationships between work output, live-weight changes, dry-matter intake (DMI) and milk yield. Each cow worked for 36 days in early lactation (from calving to 90 days) and for a further 36 days in late lactation (from 250 to 340 days post partum). Work output was similar for cows on each of the three diets. Cows on the H diet consumed more hay than cows on H+3 and H−5 diets. Hay and total DMI, milk yield and milk fat were similar across draught forces and during working and resting days when the cows were not pregnant. Similar results were obtained when cows were from 82 to 172 days pregnant. Pregnancy did not affect the ability of cows to perform work at different intensities. During working days cows lost live weight both when pregnant and when non-pregnant. During rest days, non-pregnant cows on diets H, H+3 and H+5 compensated proportionately 0·12, 0·59 and 0·59, respectively, of the live weight lost during working days. Pregnant cows on diet H+3 and H+5 compensated proportionately 0·95 and 1·77 live weight, respectively. Lower total live-weight losses during the pregnant period could be attributed partly to relatively greater DMIs and lower milk production, but also to gestation. Prediction of live-weight change from total DMI above maintenance, milk yield and work output during periods of 6 working days was poor (R2 = 0·18). However, the same parameters explained adequately changes in live weight for supplemented and non-supplemented working cows (R2 = 0·38 and 0·79, respectively) during a period of 90 days.


2020 ◽  
Vol 49 (1) ◽  
pp. 6-14
Author(s):  
Deise Aline Knob ◽  
Armin Manfred Scholz ◽  
Roberto Kappes ◽  
Wagner Bianchin Rodrigues ◽  
Dileta Regina Moro Alessio ◽  
...  

2016 ◽  
Vol 96 (3) ◽  
pp. 434-447 ◽  
Author(s):  
G. Bilal ◽  
R.I. Cue ◽  
J.F. Hayes

The objective of the present study was to estimate genetic parameters of milk yield (MY), intake traits, type traits, body condition score (BCS), and number of breedings (NOB) in first lactation Canadian Holsteins with a focus on the possibility of using type traits as an indicator of feed intake. Data were obtained from the Canadian Dairy Network and Valacta. A mixed linear model was fitted under REML for the statistical analysis. The multivariate (five traits) model included the fixed effects of age at calving, stage of lactation, and herd-round-classifier for type traits; age at calving, stage of lactation, and herd–year–season of calving (HYS) for BCS; age at calving and HYS for MY, feed intake, and NOB. Animal and residual effects were fitted as random effects for all traits. Estimates of heritabilities for MY, dry matter intake (DMI), angularity, body depth, stature, dairy strength, final score, BCS, and NOB were 0.41, 0.13, 0.24, 0.30, 0.50, 0.30, 0.22, 0.20, and 0.02, respectively. Genetic correlations between type traits and DMI ranged from 0.16 to 0.60. Results indicate that type traits appear to have the potential to predict DMI as a combination/index of two or more traits.


Animals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 104
Author(s):  
Shulin Liang ◽  
Chaoqun Wu ◽  
Wenchao Peng ◽  
Jian-Xin Liu ◽  
Hui-Zeng Sun

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.


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