scholarly journals Effects of prepartum roughage neutral detergent fiber levels on periparturient dry matter intake, metabolism, and lactation in heat-stressed dairy cows

2010 ◽  
Vol 93 (6) ◽  
pp. 2589-2597 ◽  
Author(s):  
J. Kanjanapruthipong ◽  
N. Homwong ◽  
N. Buatong
Keyword(s):  
Dairy Cows ◽  
Dry Matter ◽  
Neutral Detergent Fiber ◽  
Dry Matter Intake

Feeding amount affects the sorting behavior of lactating dairy cows

2010 ◽  
Vol 90 (1) ◽  
pp. 1-7 ◽  
Author(s):  
E K Miller-Cushon ◽  
T J DeVries
Keyword(s):  
Particle Size ◽  
Dairy Cows ◽  
Dry Matter ◽  
Size Fraction ◽  
Particle Size Analysis ◽  
Neutral Detergent Fiber ◽  
Dry Matter Intake ◽  
Size Analysis ◽  
Once Daily ◽  
Lactating Dairy Cows

The objective of this study was to determine whether feed sorting behavior in dairy cattle is influenced by the amount of feed provided. Six lactating Holstein cows, individually fed a total mixed ration once daily, were exposed to two treatments in a crossover design with 7-d periods. The treatments were: (1) lower feed amount (LFA; target 10% orts), and (2) higher feed amount (HFA; target 20% orts). Dry matter intake (DMI) was monitored daily for each animal. On the final 4 d of each treatment period, fresh feed and orts were sampled for particle size analysis. The particle size separator had three screens (19, 8, 1.18 mm) and a bottom pan, resulting in four fractions (long, medium, short, fine). Sorting was calculated as the actual intake of each particle size fraction expressed as a percentage of the predicted intake of that fraction. Actual orts percentage averaged 11.5% for the LFA and 18.0% for the HFA treatments. When on the HFA cows sorted for the medium particles to a greater extent than on the LFA (103.0 vs. 101.1%). Further, when on the HFA treatment cows sorted against short particles to a greater extent than on the LFA (95.2 vs. 98.6%). Despite greater sorting on the HFA treatment, the concentrations of neutral detergent fiber (NDF; 29.6%) and starch (27.1%) in the feed consumed were similar between treatments. Given this, and that DMI was greater on the HFA treatment compared with the LFA treatment (29.7 vs. 26.5 kg d-1), greater intakes of NDF (8.7 vs. 7.8 kg d-1) and starch (8.0 vs. 7.2 kg d-1) were also observed on the HFA treatment. The results suggest that, despite causing greater feed sorting, increasing the feeding amount for lactating dairy cows promoted higher DMI and did not prevent the consumption of a ration balanced to meet their nutritional requirements.Key words: Feeding amount, sorting behavior, dairy cow

Digestibility of Nutrients as Influenced by Supplementation of Exogenous Fibrolytic Enzymes in Dry Non-pregnant Cows

2019 ◽  
Vol 14 (04) ◽  
Author(s):  
P. M, Lunagariya ◽  
R. S. Gupta ◽  
S. V. Shah ◽  
Y. G. Patel
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Dairy Cows ◽  
Dry Matter ◽  
Body Weight Gain ◽  
The Body ◽  
Neutral Detergent Fiber ◽  
Acid Detergent Fiber ◽  
Fibrolytic Enzymes ◽  
Nitrogen Free Extract

The study was planned to evaluate the effect of exogenous fibrolytic enzymes (EFE) supplementation for 56 days @ 240 mg/kg total mixed ration (TMR) on digestibility of dry matter and nutrients in dairy cows. Six dry non-pregnant cows were assigned in each treatment with and without EFE. The digestibility trial of seven days was conducted after 49 days of feeding. Dry matter and nutrients intake of cows was not influenced by EFE. The supplementation of EFE had improved digestibility of dry matter, organic matter, crude fiber, neutral detergent fiber, cellulose (p less than 0.01), as well as digestibility of nitrogen-free extract and acid detergent fiber, was also higher (pless than 0.05). The body weight gain of cows was higher on the supplementation of EFE in TMR. The study concluded that feeding exogenous fibrolytic enzymes (240 mg/kg) supplemented TMR improved digestibility of dry matter and nutrients, which was reflected as higher body weight gain in dry non-pregnant Gir and crossbred dairy cows.

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.

scholarly journals The Performance of Steers Fed on Sugarcane in natura or Ensiled with Concentrate

2017 ◽  
Vol 9 (3) ◽  
pp. 226
Author(s):  
Dheynne Alves Vieira ◽  
Andréia Santos Cezário ◽  
Wallacy Barbacena Rosa dos Santos ◽  
Jeferson Corrêa Ribeiro ◽  
Tiago Neves Pereira Valente ◽  
...  
Keyword(s):  
Crude Protein ◽  
Dry Matter ◽  
Neutral Detergent Fiber ◽  
Dry Matter Intake ◽  
Daily Weight Gain ◽  
Zebu Cattle ◽  
Feed Conversion ◽  
Average Daily Weight Gain ◽  
High Dry Matter ◽  
Randomized Experimental Design

The aim of this study was to evaluate the performance of crossbred Holstein × Zebu steers fed on the diets containing sugarcane in natura or ensiled with two levels of concentrate (30% and 70%). A total of 32 males of 394 kg of body weight were used in a completely randomized experimental design with four treatments and seven repetitions. The animals reported a high dry matter intake (DMI) (P < 0.05) when fed on the high concentrate levels. The increase in concentrate levels resulted in an approximately 25% to 60% higher DMI as compared to the lowest level offered by silage-based diets and sugarcane in natura. The highest apparent digestibility coefficients of dry matter were observed in the diets based on sugarcane in natura (P < 0.05). The sugarcane based diets also affected (P > 0.05) the digestibility of organic matter, neutral detergent fiber, crude protein, ether extract, and non-fiber carbohydrates. There were no differences (P > 0.05) between the diets for average daily weight gain, carcass dressing, carcass gain, and feed conversion. The diets based on sugarcane in nature or ensiled with 30% and 70% concentrates do not influence the performance of crossbred Holstein × Zebu cattle.

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