scholarly journals The Effects of Non-Fiber Carbohydrate Content and Forage Type on Rumen Microbiome of Dairy Cows

Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3519
Author(s):  
Zihai Wei ◽  
Xiao Xie ◽  
Mingyuan Xue ◽  
Teresa G. Valencak ◽  
Jianxin Liu ◽  
...  
Keyword(s):  
Amino Acid ◽  
Vitamin B12 ◽  
Milk Yield ◽  
Dry Matter ◽  
Xylanase Activity ◽  
Amino Acid Biosynthesis ◽  
Dry Matter Intake ◽  
Acid Biosynthesis ◽  
Rumen Microbiota ◽  
Forage Type

The main objective of our current study was evaluating the effects of NFC supplementation and forage type on rumen microbiota and metabolism, by comparing microbial structures and composition among samples collected from cows fed AH (alfalfa-based diet), H-NFC (CS-based diet with high NFC) and L-NFC (CS-based diet with low NFC) diets. Our results show that microbial communities were structurally different but functionally similar among groups. When compared with L-HFC, NFC increased the population of Treponema, Ruminobacter, Selenomonas and Succinimonas that were negatively correlated with ruminal NH3-N, and urea nitrogen in blood, milk and urine, as well as significantly increasing the number of genes involved in amino acid biosynthesis. However, when compared to the AH group, H-NFC showed a higher abundance of bacteria relating to starch degradation and lactate production, but a lower abundance of bacteria utilizing pectin and other soluble fibers. This may lead to a slower proliferation of lignocellulose bacteria, such as Ruminococcus, Marvinbryantia and Syntrophococcus. Lower fibrolytic capacity in the rumen may reduce rumen rotation rate and may limit dry matter intake and milk yield in cows fed H-NFC. The enzyme activity assays further confirmed that cellulase and xylanase activity in AH were significantly higher than H-NFC. In addition, the lower cobalt content in Gramineae plants compared to legumes, might have led to the significantly down-regulated microbial genes involved in vitamin B12 biosynthesis in H-NFC compared to AH. A lower dietary supply with vitamin B12 may restrict the synthesis of milk lactose, one of the key factors influencing milk yield. In conclusion, supplementation of a CS-based diet with additional NFC was beneficial for nitrogen conversion by increasing the activity of amino acid biosynthesis in rumen microbiota in dairy cattle. However, lower levels of fibrolytic capacity may limit dry matter intake of cows fed H-NFC and may prevent increased milk yield.

Effect of post-ruminal infusion of glutamine on plasma amino acids, milk yield and composition in lactating dairy cows

2001 ◽  
Vol 81 (2) ◽  
pp. 229-235 ◽  
Author(s):  
J. C. Plaizier ◽  
J. -P. Walton ◽  
B. W. McBride
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Blood Plasma ◽  
Dairy Cows ◽  
Milk Yield ◽  
Dry Matter ◽  
Milk Composition ◽  
Plasma Amino Acid ◽  
Dry Matter Intake ◽  
Plasma Amino Acids

The objectives of this study were to examine the effect of supplying post-ruminal L-glutamine in mid-lactation Holstein dairy cows on plasma amino acid profile, dry matter intake, milk yield and milk composition. The experiment was designed as a 4 × 4 Latin square with four 2-wk periods. Cows were continuously infused post-ruminally with graded levels of L-glutamine (L-Gln) for 5 consecutive days during the second week of each period. During the last 24 h of the infusion, blood plasma was collected every 6 h for the determination of plasma amino acid concentrations. Plasma Gln concentration increased (P < 0.05) with increasing L-Gln daily infusions. Infusion of 0, 100, 200, and 300 g d–1 resulted in blood plasma Gln concentrations of 289.5, 299.2, 356.4 and 386.2 mmol L–1, respectively. The level of Gln infusion also resulted in a decrease in the blood plasma concentration of phenylalanine, but the concentrations of all other amino acids were not affected. The administration of Gln did not affect dry matter intake, milk yield and milk composition. Key words: Post-ruminal, L-glutamine, plasma amino acids, milk constituents

Structure of the yeast HIS5 gene responsive to general control of amino acid biosynthesis

1987 ◽  
Vol 208 (1-2) ◽  
pp. 159-167 ◽  
Author(s):  
Kiyoji Nishiwaki ◽  
Naoyuki Hayashi ◽  
Shinji Irie ◽  
Dong-Hyo Chung ◽  
Satoshi Harashima ◽  
...  
Keyword(s):  
Amino Acid ◽  
Amino Acid Biosynthesis ◽  
General Control ◽  
Acid Biosynthesis

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 Transfer RNA-dependent amino acid biosynthesis: An essential route to asparagine formation

2002 ◽  
Vol 99 (5) ◽  
pp. 2678-2683 ◽  
Author(s):  
B. Min ◽  
J. T. Pelaschier ◽  
D. E. Graham ◽  
D. Tumbula-Hansen ◽  
D. Soll
Keyword(s):  
Amino Acid ◽  
Amino Acid Biosynthesis ◽  
Transfer Rna ◽  
Acid Biosynthesis
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