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Record W1534313373

Identifying an optimum ω3:ω6 dietary content to improve bone health for laying hens with minimal detrimental impacts on production endpoints

2011· article· en· W1534313373 on OpenAlexaff
MJ Toscano, F. Booth, Tristan A. Cogan, L. H. Williams, John F. Tarlton

Bibliographic record

VenueBristol Research (University of Bristol) · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsBone mineral contentLayingAnimal scienceProduction (economics)Food scienceBiologyBone densityEngineeringEndocrinologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Introduction Keel fractures in laying hens is a serious welfare issue with up to 70% of birds within a flock having fractures. Their occurrence is likely owed to a combination of factors, including poor calcium retention and housing system. Our group has been researching using ω3-enhanced diets as a means to improve bone strength and reduce fractures following preliminary experiments indicating short chain ω3-based diets reduced fractures by 30-50% in commercial settings. Despite this finding, more recent work using a mixture of long and short chain ω3 content failed to deliver similar benefits to bone health and fracture level while increasing production losses. The current study was undertaken to identify whether reduced long chain content could yield benefits to bone health while minimizing negative impacts on production. Materials and Methods Thirty two Lohman Brown poultry layers were delivered to the University of Bristol, Langford Campus at approximately 23 weeks of age hereafter referred to as wk 0. Birds were randomly placed into one of eight pens across two rooms (4 birds/pen, 4 pens/room) and each pen provided ad-libitum access to one of four diets ranging in an ω3:ω6 of 0.12 to 1.35. Birds remained there until wk 12 whereupon they were killed by cervical dislocation, dissected with the keel, humeri, tibia, and caecal contents removed, which were then frozen at -80˚C until analysis. At weekly intervals, records were made of hen daily average, feed consumption, shell quality, and three normal eggs collected for assessment of shell width and biomechanic testing of two shell sections. At wk 7, a single egg from each pen (2 eggs/treatment) was collected for fatty acid analysis. Dissected tibia and humeri were used for quantification of bone mineral density and content using dual energy X-ray absorptiometry followed by biomechanic testing. To assess presence of keel fractures, birds were palpated upon arrival and again at wk 8 to assess the presence of keel fractures (Wilkins, et al. 2004) . At dissection, removed keels were visually assessed for fractures and then frozen until biomechanic testing. Lastly, to identify whether diet had an impact on the natural presence of campylobacterinfection rate in tissues, the presence and numbers of Campylobacter in the caecum and liver was established by direct plating of serial dilutions on mCCDA from samples collected during post-mortem. Data was statistically analyzed with MlwiN. The various responses were modelled as continuous variables with the exception of the presence of fractures which was modelled as a binary response. ω3:ω6 ration, week, and their interactions were included as continuous prediction variables with polynomial terms where applicable. Where repeated measures were taken (e.g., weekly production data), week was included in the model structure accordingly. Table 1 Biomechanic impact of diet on the tibia ω3:ω6 Measure 0.12 0.36 0.83 1.35 Pooled SD Diet1 x^n2 Ultimate Force (N) 210.48 222.20 206.18 223.55 35.82 ns - Ultimate Strain (mm) 1.84 2.07 2.06 2.04 0.28 ns - Ultimate Joule (E-1) 2.51 2.90 2.81 2.79 0.69 ns - Yield Stress (N) 95.45 93.99 96.01 103.52 19.98 ns - Yield Strain (mm) 0.31 0.30 0.34 0.31 0.06 ns - Young's Modulus 32.02 29.86 26.50 33.03 7.12 0.04 2 Elastic:Plastic 0.08 0.05 0.06 0.06 0.03 ns - 1P-value of the treatment term with the greatest polynomial; ns = non-significant. 2Value of the highest polynomial associated with the treatment effect. Results The number of poor quality eggs was found to exhibit a positive dose-dependent correlation with ω3:ω6 ratio (p = 0.03). The side section of the shell exhibited a linear negative correlation to ω3:ω6 for work required to reach structural failure, i.e. greater ω3:ω6 resulted in weaker shells (p = 0.02). Several parameters assessing tibia bone biomechanics manifested a treatment effect, although only ultimate work exhibited the anticipated increase where ω3:ω6 ratio positively correlated to the amount of work required (p = 0.04; Table 1). No treatment effect was found for the presence of keel fractures (p>0.5), though portions of the keel where found to exhibit a treatment effect in biomechanic strengthultimate stress albeit in a non-linear fashion with values greatest in birds receiving the 0.36 and 1.35 rations. PUFA analysis of egg yolks found dose dependent increases in ALA and EPA though total long chain content appeared to level off beyond the 0.83 ration. Campylobacter concentrations in the caecum exhibited a treatment effect (p = 0.04) of a parabolic nature with the greatest value in birds receiving the 0.36 ω3:ω6 ration. Conclusions. Our data indicate that some of the long chain ω3 diets’ negative impacts (i.e., poor egg quality) can be alleviated relieved while sufficient ω3 egg yolk quantity is maintained by providing a mixture of short and long chain ω3 content. Benefits of mixed ration to bone and overall health are less clear and will require further research. Acknowledgements The authors wish thank Rossyew, Optivite, and Noble Foods and BBSRC for funding. References Wilkins LJ, et al. Vet Rec 2004;155:547-9.

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 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.309
GPT teacher head0.336
Teacher spread0.027 · 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 teacher head, 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
Published2011
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