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Record W4402533402 · doi:10.1093/jas/skae234.293

444 The effects of increasing standardized ileal digestible lysine-to-net energy ratio during at 24-day lactation period on primiparous sow nitrogen utilization and lactation performance

2024· article· en· W4402533402 on OpenAlexaff
Nicole Gregory, Lee‐Anne Huber

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLactationAnimal scienceNet energyBiologyChemistryPregnancy

Abstract

fetched live from OpenAlex

Abstract Primiparous sows (n = 50) were used to evaluate the impacts of increasing standardized ileal digestible (SID) Lys-to-net energy (NE) ratios on sow performance and nitrogen utilization during a 24-d lactation period. Sows were assigned to one of five diets with equally spaced and increasing SID Lys-to-NE ratios between 2.85 and 5.51 g SID Lys/Mcal NE. Desired ratios were achieved by blending the two extreme diets in varying proportions using a feeding system with feed blending capabilities and were provided to sows immediately after farrowing until weaning (d 24 ± 0.3). Litters were standardized to 13 ± 1 piglets within 24 h after birth and were not provided creep feed. Nitrogen balances were conducted between d 4 and 7 (NB1), 12 and 15 (NB2), and 20 and 23 (NB3) of lactation, with total urine collection and fecal grab sampling. Contrast statements were used to assess linear and quadratic effects of increasing the SID Lys-to-NE ratio. Linear (LBL) and quadratic broken-line and polynomial quadratic models were used to determine the optimum dietary Lys-to-NE ratios for maternal nitrogen retention. The Bayesian information criterion was used to assess best fit. Sow body weight (BW) and backfat depth losses over lactation decreased with increasing dietary SID Lys-to-NE ratio (linear; -19.0 to -5.9 ± 3.7 kg, P = 0.001 and -3.9 to -2.0 ± 0.7 mm, P = 0.003, respectively). No differences were observed for milk nitrogen output (69.3 ± 4.5, 74.2 ± 6.6, 85.6 ± 6.8 g/day for NB1, NB2, and NB3, respectively), overall piglet average daily gain (219 ± 10 g), and piglet BW at weaning (6.33 ± 0.24 kg). Sow average daily feed intake was not influenced by SID Lys-to-NE ratio (5.3 ± 0.2 kg/day) but sow nitrogen intake (linear; P < 0.001) and total nitrogen excretion (urine + feces; linear; P < 0.001) increased with dietary SID Lys-to-NE ratio in all NB periods. Nitrogen retention (linear; P < 0.001) and maternal nitrogen retention (nitrogen intake – nitrogen excretion – milk nitrogen output; P < 0.05) increased with dietary SID Lys-to-NE ratio in all NB periods (-22.8 to -2.7 ± 6.7, 3.6 to 36.3 ± 8.4, and 9.0 to 34.8 ± 6.8 g/d for maternal nitrogen retention in NB1, NB2, and NB3, respectively). The LBL model showed that maternal nitrogen retention was optimized beyond the SID Lys-to-NE ratio limits in NB1 but breakpoints were observed for maternal nitrogen retention at 4.74 and 4.85 g SID Lys/Mcal NE in NB2 and NB3, respectively. Therefore, optimizing the SID Lys-to-NE ratio during specific weeks of lactation could minimize maternal nitrogen losses of primiparous sows.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 integrity0.0000.001
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 head0.028
GPT teacher head0.310
Teacher spread0.282 · 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 designObservational
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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