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Record W4414831146 · doi:10.1093/jas/skaf300.541

PSXI-7 Rumen degradation kinetics of chicory forage as a monoculture and in mixture with meadow bromegrass and sainfoin.

2025· article· en· W4414831146 on OpenAlexaff
Brooke A Tindal, Aklilu W. Alemu, Bill Biligetu, Breeanna Kelln, Daalkhaijav Damiran, Isaac Adjaye Aboagye, H.A. Lardner

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsRumenForageDry matterHayFodderDegradation (telecommunications)Randomized block design

Abstract

fetched live from OpenAlex

Abstract Chicory (Chicorium intybus L.) is an herbaceous, high protein, low-fibre forage species with the potential to improve feed quality for livestock. The objective of this study was to evaluate the rumen degradation kinetics of forage chicory as monoculture, 2, and 3 species mixtures that include meadow bromegrass (Bromus riparius Rehm) and/or sainfoin (Onobrychis viciifolia Scop.). To evaluate the four treatments: (i) chicory (C) (100%); (ii) chicory-grass (CG) (50:50%); iii) chicory-grass-sainfoin (CGS) (50:25:25%); and iv) grass-sainfoin (GS) (50:50%) a replicated (n = 4) random complete block design was implemented. This study used three cannulated beef steers (Average BW = ~950kg), and animal use protocol was approved by the local animal care committee. Dried ground samples of treatment forages were incubated for 0, 4, 8, 12, 24, 48, and 72 h using a gradual all-in/all-out procedure. Residual samples were washed and dried for 144 h. Samples were analyzed for dry matter (DM), crude protein (CP) and neutral detergent fibre (NDF). Effectively degradable fraction (ED) and degradation rate (Kd) were calculated. Data analysis was performed using the mixed procedure of SAS (version 9.4). These data suggest that the addition of chicory into a hay diet will increase (P < 0.001) the effective degradability of DM (EDDM) all treatments containing chicory, C (676.7 g/kg DM), CG (635.6 g/kg DM), CGS (643.5 g/kg DM) all of which were greater than the non-chicory treatment GS (589.0 g/kg DM). Dry matter Kd for the C treatment (0.106%/h) was significantly higher (P < 0.001) than the CG (0.075%/h), CGS (0.073%/h) and GS (0.053%/h) treatment. The effective degradability of CP (EDCP) (P < 0.001) increased for all treatments containing chicory, C (74.90 g/kg DM), CG (61.50 g/kg DM), CGS (64.20 g/kg DM) vs. the non-chicory treatment GS (54.30 g/kg DM). Crude protein Kd values demonstrate that GS (0.095%/h) was lower (P = 0.005) than C (0.192%/h) and CG (0.181%/h), but the CGS treatment (0.131%/h) was not different (P > 0.05) from either the GS treatment or C and CG treatments. Treatments with a higher quantity of chicory, C (158.1 g/kg DM) and CGS (203.1 g/kg DM) have a significantly lower effective degradability of NDF (EDNDF) value (P < 0.001) vs. the high bromegrass treatments CG (230.1 g/kg DM) and GS (253.7 g/kg DM). NDF Kd values demonstrate that the C (0.081%/h) treatment is significantly higher (P < 0.001) than the CG (0.056%/h), CGS (0.053%/h) and GS (0.040%/h). Overall, the results from this study demonstrate that chicory provides improved nutrient and protein content and availability, improving the quality of high-fibre hay diets.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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