scholarly journals The addition of external water to fresh grass does not affect dry matter intake, feeding behaviour and rumen characteristics in dairy cows

2003 ◽  
Vol 52 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Jos� Israel Cabrera Estrada ◽  
R�my Delagarde ◽  
Philippe Faverdin ◽  
Jean-Louis Peyraud
Keyword(s):  
Dairy Cows ◽  
Feeding Behaviour ◽  
Dry Matter ◽  
Dry Matter Intake ◽  
External Water

Dry matter intake and feeding behaviour of grazing dairy cows offered a mixed ration with or without canola meal

2017 ◽  
Vol 57 (7) ◽  
pp. 1277 ◽  
Author(s):  
M. M. Wright ◽  
M. J. Auldist ◽  
E. Kennedy ◽  
N. Galvin ◽  
F. R. Dunshea ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Feeding Behaviour ◽  
Dry Matter ◽  
Grazing Intensity ◽  
Ground Level ◽  
Dry Matter Intake ◽  
Canola Meal ◽  
Wheat Grain ◽  
Eating Time ◽  
Grazing Dairy Cows

Dry matter intake and feeding behaviour were measured in grazing dairy cows fed partial mixed rations with (PMR+C) and without (PMR–C) canola meal. In spring (early lactation), 32 Holstein–Friesian dairy cows were offered two amounts of the two supplement treatments in a two × two factorial arrangement of treatments for 24 days. Amounts of supplement were low (8 kg DM/cow.day) versus high (14 kg DM/cow.day). The PMR–C ration comprised wheat grain (59.5%, DM basis), maize grain (18.9%) and lucerne hay (21.6%). The PMR+C ration was the same, except some wheat grain was substituted with canola meal (21.6%). Both rations were isoenergetic, with a grain to forage ratio of 78 : 22 (DM basis). All cows were offered a low pasture allowance of 10 kg DM/cow.day to ground level. Replacing some wheat in a ration with canola meal increased pasture and total eating time. Dry matter intake did not differ between PMR–C and PMR+C cows. The present experiment also demonstrated that altering the amount of supplement did not influence the increase in eating time that occurred as a result of the inclusion of canola meal. Increasing the amount of supplement reduced pasture intake as a result of a reduction in grazing time and grazing intensity.

Dry matter intake and eating rate of grass by dairy cows is restricted by internal, but not external water

2004 ◽  
Vol 114 (1-4) ◽  
pp. 59-74 ◽  
Author(s):  
J.I.Cabrera Estrada ◽  
R Delagarde ◽  
P Faverdin ◽  
J.L Peyraud
Keyword(s):  
Dairy Cows ◽  
Dry Matter ◽  
Dry Matter Intake ◽  
Eating Rate ◽  
External Water

scholarly journals Fourier transform infrared spectroscopy of milk samples as a tool to estimate energy balance, energy- and dry matter intake in lactating dairy cows

2020 ◽  
pp. 1-8
Author(s):  
Amira Rachah ◽  
Olav Reksen ◽  
Nils Kristian Afseth ◽  
Valeria Tafintseva ◽  
Sabine Ferneborg ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Dry Matter ◽  
External Validation ◽  
Ftir Spectra ◽  
Dry Matter Intake ◽  
Energy Status ◽  
Test Set ◽  
Milk Samples ◽  
External Test ◽  
Body Energy

Abstract The objective of the study was to evaluate the potential of Fourier transform infrared spectroscopy (FTIR) analysis of milk samples to predict body energy status and related traits (energy balance (EB), dry matter intake (DMI) and efficient energy intake (EEI)) in lactating dairy cows. The data included 2371 milk samples from 63 Norwegian Red dairy cows collected during the first 105 days in milk (DIM). To predict the body energy status traits, calibration models were developed using Partial Least Squares Regression (PLSR). Calibration models were established using split-sample (leave-one cow-out) cross-validation approach and validated using an external test set. The PLSR method was implemented using just the FTIR spectra or using the FTIR together with milk yield (MY) or concentrate intake (CONCTR) as predictors of traits. Analyses were conducted for the entire first 105 DIM and separately for the two lactation periods: 5 ≤ DIM ≤ 55 and 55 < DIM ≤ 105. To test the models, an external validation using an independent test set was performed. Predictions depending on the parity (1st, 2nd and 3rd-to 6th parities) in early lactation were also investigated. Accuracy of prediction (r) for both cross-validation and external test set was defined as the correlation between the predicted and observed values for body energy status traits. Analyzing FTIR in combination with MY by PLSR, resulted in relatively high r-values to estimate EB (r = 0.63), DMI (r = 0.83), EEI (r = 0.84) using an external validation. Only moderate correlations between FTIR spectra and traits like EB, EEI and dry matter intake (DMI) have so far been published. Our hypothesis was that improvements in the FTIR predictions of EB, EEI and DMI can be obtained by (1) stratification into different stages of lactations and different parities, or (2) by adding additional information on milking and feeding traits. Stratification of the lactation stages improved predictions compared with the analyses including all data 5 ≤ DIM ≤105. The accuracy was improved if additional data (MY or CONCTR) were included in the prediction model. Furthermore, stratification into parity groups, improved the predictions of body energy status. Our results show that FTIR spectral data combined with MY or CONCTR can be used to obtain improved estimation of body energy status compared to only using the FTIR spectra in Norwegian Red dairy cattle. The best prediction results were achieved using FTIR spectra together with MY for early lactation. The results obtained in the study suggest that the modeling approach used in this paper can be considered as a viable method for predicting an individual cow's energy status.

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.

The effect of compound composition and silage characteristics on silage intake, feeding behaviour, production of milk and live-weight change in lactating dairy cows

1991 ◽  
Vol 52 (1) ◽  
pp. 11-19 ◽  
Author(s):  
D. A. Jackson ◽  
C. L. Johnson ◽  
J. M. Forbes
Keyword(s):  
Dairy Cows ◽  
Weight Change ◽  
Milk Fat ◽  
Feeding Behaviour ◽  
Dry Matter ◽  
Live Weight ◽  
Productive Performance ◽  
Lactating Dairy Cows ◽  
Principal Energy ◽  
Friesian Cows

ABSTRACTAn experiment was carried out to investigate the effects of compound composition and silage characteristics on silage intake, feeding behaviour and productive performance of dairy cows during the first 25 weeks of lactation. Over a period of 3 years, 36 lactating British Friesian cows (12 per year), in their third or later lactations, were divided into two groups. The cows in each group received either compound S, in which the principal energy source was cereal starch, or compound F containing a mixture of high quality digestible fibre. Cows given compound F ate 2·2 kg more silage dry matter per day (P < 0·05). The type of compound had no effect on the frequency of silage feeding and the time spent eating was significantly different only over weeks 10 to 25 of lactation (P < 0·05), with cows on compound F spending on average 20 min longer feeding per day. Cows on compound F produced 1·7 kg more milk per day than cows on compound S. Although there were no significant differences in the concentration of milk constituents, compound F was associated with higher yields of milk constituents. Significant differences were found between the years of experiment in the frequency of feeding (P < 0·05) and also in the concentration of milk protein and milk fat. There were no significant differences in the magnitude of live-weight change between treatments or year of experiment.

Sign in / Sign up

Export Citation Format

Share Document