Effect of flax grain inclusion on rumen fermentation, digestion, and microbial protein synthesis in growing and finishing diets for beef cattle

Gilbery, T. C.; Lardy, G. P.; Hagberg, D.S.; Bauer, M. L.

doi:10.1016/j.anifeedsci.2010.06.008

Cited by 6 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mezzomo et al (2011) suggested that high rumen pH values observed in their study, despite only 13% roughage in the diet, could be because of the use of sugar cane bagasse, which has high levels of effective fiber and stabilizes the rumen environment via increasing rumination and saliva production. Gilbery et al (2010) used chopped alfalfa, whereas some other studies in the CH 4 database used ground alfalfa, which would be much lower in effective fiber. McGinn (2005, 2006) and Yang et al (2010) used corn and barley silage, though the chop length and effective fiber content were not reported.…”

Section: Ph Predictionsmentioning

confidence: 99%

“…However, modeling of rumen pH is complex and challenging. In addition, as discussed in the Materials and Methods section, prediction of pH via VFA concentration will also be sensitive to prediction of (2011) and Gilbery et al (2010), data used to evaluate starch digestibility came from Archibeque et al (2006Archibeque et al ( , 2007c and Yang et al (2010), and data used to evaluate ruminal pH came from McGinn (2005, 2006) V ru , as anything driven by concentration is sensitive to volume. It is also possible that the equations developed for V ru are not applicable to these data for some reason, but this is difficult to determine without observed V ru values to compare against.…”

Section: Ph Predictionsmentioning

confidence: 99%

“…Unfortunately, not all studies in this database reported comprehensive information on variables such as diet digestibility (NDF, CP, starch), which are important indicators of underlying model performance. The studies that reported observed whole-tract or rumen values for these variables were used to evaluate digestibility predictions, in addition to the literature data of Gilbery et al (2010), Yang et al (2010) and Mezzomo et al (2011).…”

Section: Evaluation Databasementioning

confidence: 99%

“…Since the level of dietary NDF is much lower than that of starch, quantitatively, errors in NDF digestibility would have a smaller impact on the model results than errors in starch digestibility. The NDF digestibility was the most difficult component to predict accurately, reflecting the challenge of (2011) and Gilbery et al (2010), data used to evaluate starch digestibility came from Archibeque et al (2006Archibeque et al ( , 2007a and Yang et al (2010), and data used to evaluate pH came from McGinn (2005, 2006), Yang et al (2010), Mezzomo et al (2011) and Gilbery et al (2010).…”

Section: Diet Digestibility Predictionsmentioning

confidence: 99%

See 3 more Smart Citations

Improving the prediction of methane production and representation of rumen fermentation for finishing beef cattle within a mechanistic model

et al. 2014

View full text Add to dashboard Cite

Section: Ph Predictionsmentioning

confidence: 99%

Section: Ph Predictionsmentioning

confidence: 99%

Section: Evaluation Databasementioning

confidence: 99%

Section: Diet Digestibility Predictionsmentioning

confidence: 99%

See 2 more Smart Citations

Improving the prediction of methane production and representation of rumen fermentation for finishing beef cattle within a mechanistic model

et al. 2014

View full text Add to dashboard Cite

“…Flax meal could hamper nutrient utilization because of anti‐nutritional components (Bhatty, ; Madhusudhan, Ramesh, Ogawua, Sasaoka, & Singh, ). However, the U 1 , U 1.5 heifers received up to 8% flax meal in their diets and Gilberry, Lardy, Hagberg, and Baur () reported that 8% flax meal in the diet did not alter the ruminal or total tract digestion of organic matter, crude protein, NDF and ADF in growing beef cattle. The increased proportion of slow‐release urea in the ration resulted in higher levels of rumen degradable protein, which promoted higher rumen microbial activity and proliferation, and increased DM digestibility and intake (Westwood, Lean, Garvin, & Wynn, ).…”

Section: Discussionmentioning

confidence: 99%

Effect of supplemental dietary slow‐release urea on growth performance and physiological status of dairy heifers

Zhang

Qiu

Shang

et al. 2018

Animal Science Journal

View full text Add to dashboard Cite

We examined the effect of supplemental dietary slow-release urea on the growth performance and physiological status of 16 dairy Holstein heifers (10 months of age, 322 ± 10 kg). The heifers were offered a formulated isocaloric and isonitrogenous 70:30 roughage : concentrate ration and were assigned randomly to one of four levels of slow-release urea supplementation (0% [U ], 1% [U ], 1.5% [U ] and 2% [U ] dry matter [DM]). The total study lasted 95 days, which included a 20 days adaptation period. Dry matter intake (DMI) of U was lower than the intakes of U and U (p < .05), while average daily gains (ADG) of U and U were higher than U and U (p < .05). Rumen volatile fatty acids concentration did not differ among the four treatments, while ammonia nitrogen concentration increased with an increase in urea level (p < .05). Serum blood urea nitrogen concentration was lower in U than in U and U while serum free fatty acids concentration in U was higher than in the other three treatments (p < .05). We concluded that the addition of urea at a level of 1.5 to 2.0% DM resulted in a reduction in DMI but the addition of 1.0%-1.5% urea resulted in the highest ADG, with no negative effects on rumen fermentation and health status of the calves.

show abstract

Ruminal dry matter disappearance, total gas and methane production, and fermentation parameters as affected by fat and protein concentration in by-product supplemented grass hay-based diets

et al. 2022

View full text Add to dashboard Cite

Context Dietary manipulation is an important means to mitigate methane emissions; however, relatively few options exist for forage-based diets. Aims This batch culture study evaluated the effects of crude protein (CP) and fat concentration on ruminal DM disappearance (DMD), total gas (GP) and methane production, and ruminal fermentation in grass hay-based diets supplemented with a range of by-product feeds. Methods Eight treatments provided low or high CP (8 or 12% diet DM, respectively), with range of fat concentrations (1.8–6.0% diet DM), and included: control (grass hay only); corn distillers grains with solubles at 8% (CDDGS8) and 12% CP (CDDGS12); flax at 8% (FS8) and 12% CP (FSCDDGS12); canola meal at 8% (Can8); and sunflower screenings from Winkler (SFW8) or Deloraine (SFD8) at 8%. Data were analysed as a randomised complete block design, with fixed effect of treatment and random effects of block and treatment × block. Comparisons were performed between: (1) control and mean of by-product treatments, (2) low and high CP treatments, (3) CDDGS treatments, (4) FS treatments, and (5) SF treatments. Low- and high-fat treatments at both CP concentrations, and the means of CDDGS and FS treatments differing in fat concentrations were also compared. Key results The DMD did not differ between control and by-product treatments; however, DMD was lower (P < 0.001) in treatments with 8% compared with 12% CP, and was higher (P ≤ 0.009) with low fat compared with high fat, regardless of CP. Total GP was not affected by CP; however, at low CP, treatments with higher fat had lower GP (P ≤ 0.015). Methane production did not differ between any of the low and high CP treatments, but was higher (P ≤ 0.003) in the low-fat compared with high-fat treatments, regardless of CP, as well as in FS versus CDDGS and SFD versus SFW. Conclusions Higher CP increased DMD in vitro, but did not affect GP, methane or fermentation. Implications Higher dietary fat can mitigate enteric methane production, but can negatively impact DMD in grass hay-based diets, which is an important consideration in terms of animal performance.

show abstract

Effect of flax grain inclusion on rumen fermentation, digestion, and microbial protein synthesis in growing and finishing diets for beef cattle

Cited by 6 publications

References 26 publications

Improving the prediction of methane production and representation of rumen fermentation for finishing beef cattle within a mechanistic model

Improving the prediction of methane production and representation of rumen fermentation for finishing beef cattle within a mechanistic model

Effect of supplemental dietary slow‐release urea on growth performance and physiological status of dairy heifers

Ruminal dry matter disappearance, total gas and methane production, and fermentation parameters as affected by fat and protein concentration in by-product supplemented grass hay-based diets

Contact Info

Product

Resources

About