Effect of beta-glucan supplementation on feed intake, digestibility of nutrients and ruminal fermentation in Thai native beef cattle

2018 ◽  
Vol 102 (6) ◽  
pp. 1509-1514 ◽  
Author(s):  
Anusorn Cherdthong ◽  
Anuthida Seankamsorn ◽  
Chaichana Suriyapha ◽  
Pin Chanjula ◽  
Metha Wanapat
Keyword(s):  
Beef Cattle ◽  
Feed Intake ◽  
Ruminal Fermentation ◽  
Beta Glucan

Comparison of alfalfa and mixed alfalfa-sainfoin pastures for grazing cattle: Effects on incidence of bloat, ruminal fermentation, and feed intake

2006 ◽  
Vol 86 (3) ◽  
pp. 383-392 ◽  
Author(s):  
Y. Wang ◽  
B. P. Berg ◽  
L. R. Barbieri ◽  
D. M. Veira ◽  
T. A. McAllister
Keyword(s):  
Beef Cattle ◽  
Feed Intake ◽  
Enzyme Activities ◽  
Volatile Fatty Acids ◽  
Extracellular Polysaccharide ◽  
Free Access ◽  
Ruminal Fermentation ◽  
Access To Water ◽  
Proteolytic Activities ◽  
D 12

Grazing experiments were conducted over two years to evaluate the effects of incorporating sainfoin (Onobrychis viciifolia) into alfalfa (Medicago sativa) pasture on bloat, ruminal fermentation, and feed intake. Pastures of alfalfa (Alf) and alfalfa-sainfoin (AS) were established by cross-seeding (in 1998) or parallel-seeding in (1999) sainfoin into strip-seeded alfalfa. The pastures were used in grazing studies in 1999 and 2000. For periods of 4 or 5 d, 12 ruminally cannulated Jersey steers were turned out into pastures from 0830 to 1430 daily (without access to water) then were moved to a fenced area (with free access to water but no feed) until the next morning. Feed intake during grazing was estimated using alkane markers, development of bloat was assessed, and ruminal fluid (RF) fermentation properties were determined. Incidence of bloat on first-growth pastures grazed at early bloom in 1999 was unaffected by sainfoin (at 8.3%, DM basis) but was reduced by 80% (P < 0.001) in AS pasture compared with Alf, when grazed at full-bud in 2000 (12.1% sainfoin). With re-growth forage, bloat incidence was decreased by 77% (P < 0.05) on pasture containing 35% sainfoin, but treatment effect was not observed on pastures containing < 23% sainfoin. Incidence of bloat was reduced as the proportion of sainfoin in herbage mass increased. In 2000, ruminal ammonia concentrations were reduced (P < 0.05) with mixed forage containing ≥ 12.1% sainfoin, compared with Alf. Protozoal numbers, RF viscosity, and total volatile fatty acids (VFA) were unaffected by sainfoin in the forage, but acetate:propionate ratios were consistently reduced (P ≤ 0.036). Extracellular polysaccharide-degrading enzyme activities in RF were increased (carboxymethylcellulase and β-glucanase, P ≤ 0.034; xylanase, P = 0.008 and 0.08) by sainfoin at ≥ 12.1%, and proteolytic activities (intracellular and extracellular) were reduced (P ≤ 0.01). Enzyme activities were unaffected by sainfoin at ≤ 9.1%. Sainfoin did not affect (P ≥ 0.202) organic matter intake from any of the pastures surveyed. Sainfoin was more effective for reducing bloat when cattle were grazing first growth pastures than when grazing re-growth. Including 35% sainfoin in mixed alfalfa-sainfoin pastures reduced, but did not eliminate, bloat in beef cattle and enhanced protein utilization by decreasing proteolytic activity. Feed efficiency may be improved through associative effects of the two forages. Key words: Alfalfa, beef cattle, feed intake, grazing, pasture bloat, sainfoin

scholarly journals Influence of Supplementing Sesbania Grandiflora Pod Meal at Two Dietary Crude Protein Levels on Feed Intake, Fermentation Characteristics, and Methane Mitigation in Thai Purebred Beef Cattle

2020 ◽  
Author(s):  
Narirat Unnawong ◽  
Anusorn Cherdthong ◽  
Sarong So
Keyword(s):  
Beef Cattle ◽  
Feed Intake ◽  
Crude Protein ◽  
Volatile Fatty Acids ◽  
Nitrogen Excretion ◽  
Ruminal Fermentation ◽  
Fermentation Products ◽  
Ch4 Production ◽  
Sesbania Grandiflora ◽  
N Concentration

The aim of the study was to evaluate the effect of crude protein (CP) levels in concentrate and Sesbania grandiflora pod meal (SG) supplementations on feed intake, rumen fermentation, and methane (CH4) mitigation in Thai purebred beef cattle. Four cattle with 100 &plusmn; 5.0 kg body weight were used in this study. A 2 &times; 2 factorial experiment in a 4 &times; 4 Latin square design were conducted, in which factor A was the CP contents in concentrate of 14, and 16% of dry matter (DM) and factor B was the supplement contents of SG at 0.4% and 0.6% DM intake, respectively. The results showed that the CP contents in concentrate and SG had no interaction effect on intake, digestibility, ruminal ecologies, ruminal fermentation products, and nitrogen utilization. Increasing CP contents in concentrate did not influence DM intake and nutrients&rsquo; digestibility, and SG supplementation at 0.6% significantly (P&lt;0.05) decreased CP digestibility. Increasing CP content to 16% increased significantly (P&lt;0.05) the ruminal ammonia nitrogen (NH3-N) concentration while decreased significantly (P&lt;0.05) the NH3-N concentration, protozoal number, and blood urea nitrogen (BUN) at 4 h post-feeding. The 0.6% supplementation of the SG increased significantly average total volatile fatty acids (VFAs) and propionate (C3) concentration while decreased significantly average acetate (C2), C2:C3 ratio, and CH4 production, which was 2.71% for C2, 13.17% for C2:C3 ratio, and 4.37% for CH4 production lower than 0.4% supplementation. Fecal nitrogen excretion was significantly decreased when supplemented with 0.6% of the SG. In conclusion, 0.6% of the SG supplementation showed a greater effect on intake, rumen manipulation, and CH4 mitigation and would recommend supplementation to a concentrate-based diet containing either 14% or 16% CP content.

scholarly journals Influence of Supplementing Sesbania grandiflora Pod Meal at Two Dietary Crude Protein Levels on Feed Intake, Fermentation Characteristics, and Methane Mitigation in Thai Purebred Beef Cattle

2021 ◽  
Vol 8 (2) ◽  
pp. 35
Author(s):  
Narirat Unnawong ◽  
Anusorn Cherdthong ◽  
Sarong So
Keyword(s):  
Beef Cattle ◽  
Feed Intake ◽  
Crude Protein ◽  
Volatile Fatty Acids ◽  
Latin Square ◽  
Ammonia Nitrogen ◽  
Nitrogen Utilization ◽  
Ruminal Fermentation ◽  
Fermentation Products ◽  
Sesbania Grandiflora

The aim of the study was to evaluate the effect of crude protein (CP) levels in concentrate and Sesbania grandiflora pod meal (SG) supplementation on feed intake, rumen fermentation, and methane (CH4) mitigation in Thai purebred beef cattle. Four cattle with 100 ± 5.0 kg body weight were used in this study. A 2 × 2 factorial experiment in a 4 × 4 Latin square design was conducted, in which factor A was the CP levels in concentrate of 14% and 16% of dry matter (DM) and factor B was the supplement levels of SG at 0.4% and 0.6% DM intake, respectively. The results showed that the CP content in concentrate and SG supplementation had no interaction effect on intake, digestibility, ruminal ecologies, ruminal fermentation products, and nitrogen utilization. Increasing CP content to 16% significantly (p < 0.05) increased the ruminal ammonia nitrogen (NH3-N), nitrogen (N) intake, N absorption, and N retention. SG supplementation significantly (p < 0.05) decreased CP digestibility, NH3-N, blood urea nitrogen, and protozoa. In addition, SG significantly decreased acetate (C2), acetate to propionate ratio, methane, and fecal N excretion, while it significantly increased total volatile fatty acids (VFAs) and propionate (C3) concentration. In conclusion, SG could mitigate methane emission and enhance nitrogen utilization.

scholarly journals RAPID COMMUNICATION: Residual feed intake in beef cattle is associated with differences in protein turnover and nutrient transporters in ruminal epithelium

2019 ◽  
Vol 97 (5) ◽  
pp. 2181-2187
Author(s):  
Ahmed A Elolimy ◽  
Emad Abdel-Hamied ◽  
Liangyu Hu ◽  
Joshua C McCann ◽  
Daniel W Shike ◽  
...  
Keyword(s):  
Amino Acid ◽  
Beef Cattle ◽  
Protein Degradation ◽  
Insulin Signaling ◽  
Feed Intake ◽  
Feed Efficiency ◽  
Protein Turnover ◽  
Residual Feed Intake ◽  
Ubiquitin Proteasome ◽  
Ruminal Epithelium

Abstract Residual feed intake (RFI) is a widely used measure of feed efficiency in cattle. Although the precise biologic mechanisms associated with improved feed efficiency are not well-known, most-efficient steers (i.e., with low RFI coefficient) downregulate abundance of proteins controlling protein degradation in skeletal muscle. Whether cellular mechanisms controlling protein turnover in ruminal tissue differ by RFI classification is unknown. The aim was to investigate associations between RFI and signaling through the mechanistic target of rapamycin (MTOR) and ubiquitin-proteasome pathways in ruminal epithelium. One hundred and forty-nine Red Angus cattle were allocated to 3 contemporary groups according to sex and herd origin. Animals were offered a finishing diet for 70 d to calculate the RFI coefficient for each. Within each group, the 2 most-efficient (n = 6) and least-efficient animals (n = 6) were selected. Compared with least-efficient animals, the most-efficient animals consumed less feed (P &lt; 0.05; 18.36 vs. 23.39 kg/d DMI). At day 70, plasma samples were collected for insulin concentration analysis. Ruminal epithelium was collected immediately after slaughter to determine abundance and phosphorylation status of 29 proteins associated with MTOR, ubiquitin-proteasome, insulin signaling, and glucose and amino acid transport. Among the proteins involved in cellular protein synthesis, most-efficient animals had lower (P ≤ 0.05) abundance of MTOR, p-MTOR, RPS6KB1, EIF2A, EEF2K, AKT1, and RPS6KB1, whereas MAPK3 tended (P = 0.07) to be lower. In contrast, abundance of p-EEF2K, p-EEF2K:EEF2K, and p-EIF2A:EIF2A in most-efficient animals was greater (P ≤ 0.05). Among proteins catalyzing steps required for protein degradation, the abundance of UBA1, NEDD4, and STUB1 was lower (P ≤ 0.05) and MDM2 tended (P = 0.06) to be lower in most-efficient cattle. Plasma insulin and ruminal epithelium insulin signaling proteins did not differ (P &gt; 0.05) between RFI groups. However, abundance of the insulin-responsive glucose transporter SLC2A4 and the amino acid transporters SLC1A3 and SLC1A5 also was lower (P ≤ 0.05) in most-efficient cattle. Overall, the data indicate that differences in signaling mechanisms controlling protein turnover and nutrient transport in ruminal epithelium are components of feed efficiency in beef cattle.

scholarly journals 127 Predicting Dry Matter Intake of Gestating and Lactating Beef Cows

2020 ◽  
Vol 98 (Supplement_2) ◽  
pp. 58-58
Author(s):  
Megan A Gross ◽  
Claire Andresen ◽  
Amanda Holder ◽  
Alexi Moehlenpah ◽  
Carla Goad ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Milk Yield ◽  
Feed Intake ◽  
Beef Cows ◽  
Multiple Regression Equation ◽  
Validation Data ◽  
Data Set ◽  
Lactating Cows ◽  
Downward Bias ◽  
Protein Supply

Abstract In 1996, the NASEM beef cattle committee developed and published an equation to estimate cow feed intake using results from studies conducted or published between 1979 and 1993 (Nutrient Requirements of Beef Cattle). The same equation was recommended for use in the most recent version of this publication (2016). The equation is sensitive to cow weight, diet digestibility and milk yield. Our objective was to validate the accuracy of this equation using more recent published and unpublished data. Criteria for inclusion in the validation data set included projects conducted or published within the last ten years, direct measurement of forage intake, adequate protein supply, and pen feeding (no tie stall or metabolism crate data). The validation data set included 29 treatment means for gestating cows and 26 treatment means for lactating cows. Means for the gestating cow data set was 11.4 ± 1.9 kg DMI, 599 ± 77 kg BW, 1.24 ± 0.14 Mcal/kg NEm per kg of feed and lactating cow data set was 14.5 ± 2.0 kg DMI, 532 ± 116.3 kg BW, and 1.26 ± 0.24 Mcal NEm per kg feed, respectively. Non intercept models were used to determine equation accuracy in predicting validation data set DMI. The slope for linear bias in the NASEM gestation equation did not differ from 1 (P = 0.07) with a 3.5% positive bias. However, when the NASEM equation was used to predict DMI in lactating cows, the slope for linear bias significantly differed from 1 (P &lt; 0.001) with a downward bias of 13.7%. Therefore, a new multiple regression equation was developed from the validation data set: DMI= (-4.336 + (0.086427 (BW^.75) + 0.3 (Milk yield)+6.005785(NEm)), (R-squared=0.84). The NASEM equation for gestating beef cows was reasonably accurate while the lactation equation underestimated feed intake.

Genetic and phenotypic parameter estimates for feed intake and other traits in growing beef cattle, and opportunities for selection123

2011 ◽  
Vol 89 (11) ◽  
pp. 3452-3459 ◽  
Author(s):  
K. M. Rolfe ◽  
W. M. Snelling ◽  
M. K. Nielsen ◽  
H. C. Freetly ◽  
C. L. Ferrell ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Feed Intake ◽  
Parameter Estimates ◽  
Phenotypic Parameter

183 Designing Research for Beef Cattle Production in Extensive Environments

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 98-99
Author(s):  
Timothy DelCurto ◽  
Sam Wyffels
Keyword(s):  
Beef Cattle ◽  
Statistical Inference ◽  
Multiple Regression ◽  
Feed Intake ◽  
Cattle Production ◽  
Modeling Tools ◽  
Activity Monitors ◽  
Multiple Observations ◽  
Wide Range ◽  
Beef Cattle Production

Abstract Designing research for beef cattle production in rangeland environments is an ongoing challenge for researchers worldwide. Specifically, creating study designs that mirror actual production environments yet have enough observations for statistical inference is a challenge that often hinders researchers in efforts to publish their observations. Numerous journals will accept “case study” or observational results that lack valid statistical inference. However, these journals are limited in number and often lack impact. Approaches are available to gain statistical inference by creating multiple observations within a common group of animals. Approaches to increasing statistical observations will be discussed in this presentation. Modeling animal behavior and performance on extensive rangeland landscapes is commonly practiced in wildlife ecology and, more recently, has been published in Animal Science journals. Additionally, new technology has made it possible to apply treatments (e.g., supplementation studies) to individual animals on extensive environments where large, diverse herds/flocks of cattle/sheep are managed as a single group. Use of individual animal identification (EID) and feed intake technology has opened a wide range of research possibilities for beef cattle production systems research in rangeland environments. Likewise, global positioning system (GPS) collars and activity monitors have created the opportunity to evaluate animal grazing behavior in remote and extensive landscapes. The use of multiple regression models to evaluate resource use in extensive environments will, in turn, help managers optimize beef cattle production and the sustainable use of forage/rangeland resources. Embracing new technologies such as GPS, activity monitors, EID tags, and feed intake monitors combined with multiple regression modeling tools will aid in designing and publishing beef cattle production research in extensive rangeland environments.

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