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Record W7081933340 · doi:10.1016/j.eti.2025.104508

Integrated rumen-animal-manure analysis of dairy emission mitigation by feeding apple pomace and hempseed cake

2025· article· en· W7081933340 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnvironmental Technology & Innovation · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
FundersBiotechnology and Biological Sciences Research CouncilDirectorate for Biological SciencesAgri-Food and Biosciences InstituteQueen's UniversityQueen's University Belfast
KeywordsManureRumenPomaceLatin squareForageAmmoniaTotal mixed rationFermentationDairy cattle

Abstract

fetched live from OpenAlex

Agri-food by-products are underused feed resources with the potential to reduce dairy emissions, yet most studies examined rumen and manure stages separately, which mask whole-system effects and shift environmental burdens between stages. This study is the first to assess the effects of incorporating apple pomace (AP) and hempseed cake (HC) into dairy cow diets on nitrogen and methane (CH 4 ) emissions, across the entire milk production chain, from rumen fermentation to downstream manure storage. A 3 (treatments) x 3 (Periods) Latin square design was used with 15 cows, treatment diets included (1) CON (control diet): basal diets with forage and concentrates; (2) AP: 10 % of AP replacing forage; (3) HC: 10 % of HC replacing concentrates. Faeces and urine outputs were collected separately from animals, for manure storage experiment. Feeding AP and HC decreased ( P < 0.01), respectively, enteric CH 4 production by 6.3 % and 6.7 %, CH 4 /feed intake by 10.6 % and 10.1 %, and CH 4 /milk yield by 9.8 % and 10.9 %. Inclusion of AP decreased urine N /total N intake, compared to CON and HC ( P < 0.05). In manure storage, the AP decreased the cumulative ammonia (NH 3 ) and CH 4 emissions by 24.8 % and 27.4 % than CON, respectively ( P < 0.05). The above mitigation actions through feeding AP and HC, when working together in implementation for feeding dairy cows, could decrease annual CO 2 equivalent emissions by 13 % and 10 % respectively. This is the first integrated study combining rumen fermentation with manure impacts, showing that AP and HC inclusion can be a practical approach to mitigate emissions in dairy farming. • Dietary inclusion of apple pomace and hempseed cake reduced the enteric methane emissions of dairy cows. • Dietary inclusion of apple pomace shifts the cows’ nitrogen output from urine to faece. • Less NH 3 and CH 4 emissions were produced in manure collected from cows fed apple pomace. • Both apple pomace and hempseed cake potentially contribute to less greenhouse effect.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.033
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
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 head0.004
GPT teacher head0.210
Teacher spread0.206 · 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