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Record W4409460111 · doi:10.1093/jas/skaf109

Effects of dietary supplementation of nitrate on enteric methane production, performance, and rumen microbiome of Hanwoo steers

2025· article· en· W4409460111 on OpenAlexaff
Rajaraman Bharanidharan, Byamungu Mayange Tomple, Jae Sung Lee, Athauda Arachige Kavindu Nirmal Athauda, Sujoung Huh, Woohyeong Hong, Na-Yeon Kim, Dong-Hyun Lim, Jong Geun Kim, Kyoung-Hoon Kim, J. Oh

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsCargill (Canada)
Fundersnot available
KeywordsHanwooRumenAnimal scienceDry matterChemistryNEFACompletely randomized designHayFermentationFood scienceBiologyBiochemistryFatty acid

Abstract

fetched live from OpenAlex

An in vivo experiment was performed to evaluate the effects of calcium ammonium nitrate (CAN; 5Ca (NO3)2·NH4NO3·10H2O, 75% DM NO₃⁻) supplementation on enteric CH4 emissions, ruminal fermentation and microbial community and productivity in Hanwoo (Korean native cattle) steers. Twenty Hanwoo steers (average body weight 348 ± 18 kg) were randomly allocated to 5 pens (4 head/pen) balanced for body weight, and then randomly assigned to 1 of 2 dietary treatments (2 head/treatment/pen): (1) the control (CON), 500 g/kg long stem timothy hay and 500 g/kg commercial concentrates; (2) NIT, control diet top-dressed with 2.5% CAN (1.578% NO3- in the dietary DM) for 115 d in a completely randomized design. Methane measurement was performed for 3 d starting from days 21, 51, 80, and 112 using whole-body respiratory chambers (RC). Rumen fluid and blood samples were collected on days 25 and 26, respectively. A decrease (P = 0.05) in dry matter intake (DMI) was observed in steers fed NIT both in the pen and RC. However, average daily gain and gain:feed were not adversely affected. Additionally, methemoglobin concentration was not influenced by the treatment, suggesting no potential toxicity of NO₃⁻ in steers fed NIT. A decrease (P < 0.05) in CH4 production (g/d) was noted in NIT throughout the feeding trial, but CH4 yield (g/kg DMI) was not different (P > 0.05) between treatments. Ruminal pH, ammonia concentration, and total volatile fatty acid production were not affected by the treatment, but NIT increased and decreased (P < 0.01) acetate and butyrate proportions, respectively, compared with CON. Steers in NIT group had increased (P < 0.05) ruminal abundance of Ruminococcus sp. and a tendency for increased Succiniclasticum (P = 0.07), and Selenomonas ruminantium (P = 0.07). However, NIT decreased (P < 0.05) the abundance of Olsenella, Atopobium and tended to decrease (P = 0.07) Methanobrevibacter ruminantium in the rumen. Overall, dietary supplementation of NO₃⁻ demonstrated a potential to reduce enteric CH4 production (g/d) by an average of 25.4% in Hanwoo beef cattle over time without causing NO₃⁻ intoxication in the early stage or negatively affecting growth performance throughout the trial. However, the lack of a sustained mitigation effect on CH₄ yield (g/kg DMI) suggests that further evaluation of NO₃⁻ supplementation under different dietary conditions is necessary.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.251
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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