scholarly journals The relationship between plasma osmolarity and feed efficiency in beef cattle and effect of feeding cows medicated feed through mineral containing AltosidRTM IGR on the growth of beef calves

2016 ◽  
Author(s):  
Taylor Diane Harrison
Keyword(s):  
Beef Cattle ◽  
Feed Efficiency ◽  
Plasma Osmolarity ◽  
Beef Calves ◽  
The Relationship ◽  
Effect Of Feeding

The relationship between feed efficiency traits and fertility in young beef bulls

2013 ◽  
Vol 93 (2) ◽  
pp. 185-192 ◽  
Author(s):  
B. J. Awda ◽  
S. P. Miller ◽  
Y. R. Montanholi ◽  
G. Vander Voort ◽  
T. Caldwell ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Sperm Motility ◽  
Feed Efficiency ◽  
Performance Test ◽  
Prediction Models ◽  
Sperm Viability ◽  
Multiple Trait ◽  
Progressive Motility ◽  
Beef Bulls ◽  
The Relationship

Awda, B. J., Miller, S. P., Montanholi, Y. R., Vander Voort, G., Caldwell, T., Buhr, M. M. and Swanson, K. C. 2013. The relationship between feed efficiency traits and fertility in young beef bulls. Can. J. Anim. Sci. 93: 185–192. Great efforts have been taken in recent years for improving feed efficiency in beef cattle. Despite there being several studies on biological factors associated with this trait, little is known about the potential relationships between fertility and feed efficiency in beef cattle. The objective of this study was to examine the relationship between feed efficiency traits and bull fertility traits [sperm motility, viability and scrotal circumference (SC)]. From a total of 328 crossbred beef bulls that were subjected to a performance test (112 d in each of 6 yr), SC was measured and semen collected from 110 bulls using the electroejaculation method (average age±SE=417±2.5 d). Sperm were extended, cooled, and frozen in liquid nitrogen. Two residual feed intake (RFI) measures were considered with different prediction models for dry matter intake (DMI), RFIKoch included size and growth rate and RFIbkft included the additional adjustment for backfat thickness (BKFT). Sperm viability, motility and progressive motility of the 10 bulls with the greatest RFIKoch (Hi-RFIKoch) were greater than those of the 10 bulls with the lowest RFIKoch (Lo-RFIKoch; P<0.05, 0.01, and 0.05, respectively). Sperm motility (P<0.01), progressive motility and SC (P<0.05) of the 10 bulls with the greatest RFIbkft (Hi-RFIbkft) were greater than those of the 10 bulls with the lowest RFIbkft (Lo-RFIbkft). In summary, these data indicate that young beef bulls with greater feed efficiency have decreased sperm motility, sperm viability and SC, which is an undesirable effect of selection for improved feed efficiency that needs to be addressed through multiple trait selection.

The Relationship of Feed Efficiency to Digestion Rates of Beef Cattle

1951 ◽  
Vol 10 (3) ◽  
pp. 726-732 ◽  
Author(s):  
J. P. Baker ◽  
R. W. Colby ◽  
C. M. Lyman
Keyword(s):  
Beef Cattle ◽  
Feed Efficiency ◽  
Relationship Of ◽  
The Relationship

The Relationship of Serum Protein Bound Iodine Levels to Rates of Gain in Beef Cattle

1953 ◽  
Vol 12 (1) ◽  
pp. 3-9 ◽  
Author(s):  
H. O. Kunkel ◽  
R. W. Colby ◽  
Carl M. Lyman
Keyword(s):  
Beef Cattle ◽  
Serum Protein ◽  
Relationship Of ◽  
The Relationship

Endocannabinoid concentrations in plasma during the finishing period are associated with feed efficiency and carcass composition of beef cattle

2017 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
V. M. Artegoitia ◽  
A. P. Foote ◽  
R. G. Tait ◽  
L. A. Kuehn ◽  
R. M. Lewis ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Feed Efficiency ◽  
Carcass Composition

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 PSVI-22 Rumen microbiome of beef cattle is modulated by backgrounding systems

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 220-220
Author(s):  
Bobwealth O Omontese ◽  
Ashok K Sharma ◽  
Jason Langlie ◽  
Joe Armstrong ◽  
Alfredo DiCostanzo ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Developmental Stages ◽  
Production Systems ◽  
Rumen Fluid ◽  
Illumina Miseq ◽  
High Energy ◽  
Shannon Index ◽  
Bacterial Gene ◽  
Beef Calves ◽  
Rumen Microbiome

Abstract Backgrounding (BKG) segment in beef production systems is characterized by utilization of different forages which affect growth performance and carcass characteristics. However, it is unclear how BKG systems impact rumen microbiome. We investigated rumen microbiome dynamics of beef calves under different BKG systems. At weaning, Angus and Angus x Simmental beef calves (n = 38) were stratified by age, weight, and sex in a completely randomized design into 1 of 3 BKG treatments for 55 d: 1) perennial pasture (PP; quackgrass, orchardgrass; smooth bromegrass, red clover, and alfalfa); 2) summer annual cover crop (CC; cereal oats, purple top turnips, hunter forage brassica, and graza forage radish); and 3) dry lot (DL; haylage, corn, and DDGS). After BKG, all calves were assigned to a high energy ration in a feedlot. Rumen sample was collected via esophageal tubing at weaning, BKG and feedlot. A total of 190 rumen fluid samples were used to sequence the hypervariable V4 region of the 16S rRNA bacterial gene on an Illumina MiSeq platform. The results showed that BKG systems largely influenced rumen bacterial communities. Specifically, microbiome composition and diversity were not different at weaning, diverged significantly during BKG (Shannon index, Bray Curtis distance metrics; P &lt; 0.001) and homogenized during feedlot. During the BKG segment, the bacterial genera Agrobacterium, Coprococcus, and Ruminococcus were dominant in CC whereas Fibrobacteraceae and Mycoplasmataceae was most dominant in DL. Moreover, rumen microbiome patterns of CC and DL calves showed increased plasticity in early stages of development but not during feedlot with PP showing fewer changes over time. These results indicate that BKG systems significantly modulate the rumen microbiome of beef cattle and, underscore the importance of early developmental stages as potential targets for feeding interventions that can impact the animal microbiome to enhance animal performance.

scholarly journals 395 Impact of pig mortality on U.S. pig producers

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 184-185
Author(s):  
Caleb M Shull
Keyword(s):  
Feed Efficiency ◽  
Management Practices ◽  
Production Systems ◽  
Research Priorities ◽  
Functional Approach ◽  
Production Cycle ◽  
Limiting Factor ◽  
Significant Challenge ◽  
The Relationship ◽  
Positive Step

Abstract Swine producers in the U.S. face a significant challenge. On top of the ever-changing market dynamics that lead to wide swings in profitability or loss, is an underlying issue of pig mortality that the industry must address. While significant improvements in total piglets born per litter have been achieved over the last 10 years, pig mortality has seen no improvement or has worsened (Figure 1). When expressed as a percentage of piglets born (excluding mummies), a total of 7.9% were recorded as stillborn and 13.4% died prior to weaning in 2019. Assuming a typical mortality range of 7–10% from weaning to harvest, a typical U.S. producer could expect to lose around 27–30% of all piglets born. In addition, the average producer had around 12% annual sow mortality (Figure 1). Litter size and post-weaning growth rate and feed efficiency will always factor heavily into research priorities due to the economic impact associated with those traits; however, the opportunity to drive value through reduction in pig losses across the production cycle is staggering. In defense of the industry, improving pig survival is not an easy task for a number of reasons. The sample size (i.e., number of pigs) required to do mortality research correctly is often a limiting factor for many production systems. Furthermore, a cross-functional approach is likely required to make significant improvements in mortality. Specifically, the relationship between genetics, health, and management practices warrant consideration. Recent collaboration across the industry to improve mortality is a positive step forward and this collaboration should continue moving forward.

The Relationship of Certain Blood Constituents to Rate and Economy of Gain in Beef Cattle

1959 ◽  
Vol 18 (1) ◽  
pp. 314-322 ◽  
Author(s):  
R. L. Arthaud ◽  
A. B. Schultze ◽  
R. M. Koch ◽  
V. H. Arthaud
Keyword(s):  
Beef Cattle ◽  
Blood Constituents ◽  
Relationship Of ◽  
The Relationship
Sign in / Sign up

Export Citation Format

Share Document