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Record W4402541456 · doi:10.1093/jas/skae234.663

PSVIII-4 Physiochemical and nutrient profile study: Effect of oat varieties and types (feed type vs. milling type)

2024· article· en· W4402541456 on OpenAlexaff
Ganqi Deng, David Christensen, H.A. Lardner, Peiqiang Yu

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNutrientFood scienceType (biology)AgronomyChemistryBiologyOrganic chemistryEcology

Abstract

fetched live from OpenAlex

Abstract The objective of this project was to assess the impact of four oat varieties and types (feed type vs. milling type) on their physiochemical and nutrient profiles. Four oat varieties (Haymaker, Nasser, Arborg, and Summit) from 3 harvested yr (2018, 2019, 2020) were used for chemical analysis, energy profiles and protein and carbohydrate subfractions evaluations following the AOAC standard methods, NRC-2001 model, and CNCPS 6.5 model, respectively. The experiment design was a randomized compete block design with oat varieties as a fixed effect and harvested year as a random block effect. The MIXED model of SAS 9.4 was used for statistical analysis with significant level declared at P < 0.05 and trends at 0.05 ≤ P < 0.1, and SAS contrasts were used for comparing oat types (feed type vs. milling type). Results showed that Nasser oat had the greatest ether extract (EE), and non-protein nitrogen (NPN) value of the four varieties [4.05, and 3.74 % dry matter (DM); P < 0.01] while the value of crude protein (CP) of Nasser oat was least but had a similar CP content with Arborg and Summit oat (14.69, 15.78, and 15.40 % DM). Haymaker oat had the greatest CP content among the four varieties (17.57 % DM, P < 0.05). Arborg, Summit and Haymaker oat had similar acid detergent lignin (ADL) in the four oat varieties (3.60, 3.29, and 4.19 %DM), yet had greater ADL content compared with Nasser oat (1.63 % DM, P < 0.01). More importantly, Haymaker oat had greater indigestible neutral detergent fiber at 120 h (iNDF120h, % DM) compared with Summit oat (P < 0.05) and had similar iNDF120h content with Arborg and Nasser oat. There was a significant difference in EE, total carbohydrate (C HO), and ADL values between feed type and milling type (P < 0.05). Haymaker oat had the greatest truly digestible crude protein (tdCP) among the four oat varieties (17.42 % DM, P < 0.05). Nasser oat also had the greatest total digestible nutrients (TDN) and all energy values compared with other three oat varieties (P < 0.05), while Arborg and Summit oat had similar tdCP, TDNs and energy values. In addition, Haymaker oat had greater PA2 (6.62 vs. 5.37 % DM) and PB1 (10.18 vs. 8.72 % DM) than that of Nasser (P < 0.05) although they were the same oat types, and the indigestible fiber fractions (CC) of Nasser oat was least among these four varieties (5.04 %CHO or 3.93 % DM, P < 0.05). Haymaker also had greater RDPA2, RDPB1, total RDP, RUPA2, RUPB1, total RUP fractions than that of Nasser oat (P < 0.05). Feed type had relatively greater CP, greater energy values but with less total CHO contents than milling oat. In conclusion, Nasser oat could be an important source of grain to replace barley in the ration of dairy cattle.

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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.287
Teacher spread0.273 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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