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Liquid feeding corn-based diets to growing pigs: practical considerations and use of co-products

2012· book-chapter· en· W27047199 on OpenAlexaffabout
C. F. M. de Lange, Cuilan Zhu

Bibliographic record

VenueWageningen Academic Publishers eBooks · 2012
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPalatabilityDry matterDistillers grainsFood scienceBiologyBiotechnologyMicrobial inoculantAgronomy

Abstract

fetched live from OpenAlex

Liquid feeding has many potential benefits over conventional dry feeding of pigs, such as improved gut health, use of inexpensive liquid co-products from the food and biofuel industry, flexibility and ease of feed delivery, and manipulation of feeding value of ingredients with enzymes and microbial inoculants. These benefits can result in improved growth performance and feed efficiency, reduce the reliance on feeding antibiotics and improve public views on pork production and pork products. In the province of Ontario, Canada, about 20% of growingfinishing pigs are currently raised on liquid feeding systems and experience has been gained with liquid feeding corn-based diets. Based on growth performance of high health status pigs, there is limited benefit of liquid feeding corn-based diets to growing-finishing pigs. This is in contrast to European findings, where swine liquid feeding research is more focused on wheatand barley-based diets. Recent research shows that liquid feeding allows for an effective use of liquid corn distillers solubles and corn steep water. In general, and when used at 15% or less of feed dry matter content, the use of corn distillers solubles and corn steep water does not result in major changes in pig growth performance, or carcass and meat quality. The feeding value of wheat shorts appears improved in liquid fed pigs. There is potential to further enhance the value of feed ingredients for the pig by steeping with enzymes and controlled fermentation with microbial inoculants. Uncontrolled (proteolytic) fermentation which contributes to reduced feed palatability and nutritional value of liquid feeds can be minimized via control of feed pH and lactic acid content. When using liquid feeding systems, pigs should have access to an additional source of water. Management of liquid feeding systems requires computer and engineering skills and attention to detail, especially when using co-products with variable nutrient content. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.120
GPT teacher head0.291
Teacher spread0.170 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations9
Published2012
Admission routes2
Has abstractyes

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