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Record W7057428367

Impact of necrotic enteritis on the growth curve and the evaluation of test parameters for measuring coccidial infection

2018· article· en· W7057428367 on OpenAlexaboutno aff

Bibliographic record

VenueOhioLink ETD Center (Ohio Library and Information Network) · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCoccidiosisEimeria maximaClostridium perfringensEnteritisEimeriaBody weight
DOInot available

Abstract

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Necrotic enteritis (NE) and coccidiosis are two pervasive diseases within the poultry industry.Necrotic enteritis has been shown to exhibit both immediate and sustained effects on body weight (BW) of broilers.While coccidiosis is commonly associated with NE, some reports suggest NetB+ Clostridium perfringens (CP) can cause NE in the absence of Eimeria or other predisposing factors.Three experiments were completed which evaluated the immediate effect of NE on BW and impact on the growth curve of broilers when NE was induced by various methods.In experiment 3.1, a dual infection model of Eimeria maxima (EM) and CP was compared to a non-challenged control (NC), while experiment 3.2 evaluated two different strains of EM dual infection, as well as six CP-only groups.Similarly, experiment 3.3 tested dual infection and CP-only groups.In all three experiments, BW was measured immediately before infection, then weekly through the end of the test period.In all three experiments, a decrease (p<0.05) in BW was observed immediately following the acute NE disease period of d21 -d23, with a long-term effect on the BW most clearly detected in the EM + CP dual infection models, and when high levels of CP-only were administered.Experiment 3.1 clearly maintained these differences in BW in an almost parallel fashion through the termination of the experiment on d35, with NC observed as 2,182.0± 29.5 g versus 1,967.1 ± 23.7 g in EM Guelph dual infection group (p<0.001).Experiment 3.2 resulted in a similar parallel trend iii in BW in EM M6 dual infection group compared to NC, but no statistical differences in BW with NC were observed following d22.Three groups in experiment 3.3, the EM M6 dual infection group and two CP only groups, resulted in differences (p<0.05) for several weeks following the challenge period, returning to similarity with NC by d42 and d35, respectively, but the parallel growth with NC continued to be observed through the entire trial, d56.In addition to showing the long-term impact of various forms of NE on broiler growth, these shifts can be used to measure the effects of treatments on prevention and recovery of broilers impacted by NE.With regard to coccidiosis, a variety of test parameters is used to measure the effectiveness of treatment strategies, such as lesion scores (LS), performance parameters such as body weight gain (BWG) and feed conversion ratio (FCR), and occasionally oocysts per gram of feces (OPG).Each of these parameters provide varying insight into the impact of Eimeria, may be subjective, and some are possibly influenced by non-disease related activity.Four experiments were completed that examined at least two test parameters that included BWG, LS, and OPG, for measuring the impact of coccidial infection in chickens and turkeys.In experiment 4.1, a challenged control (CC) was measured against three anti-coccidial groups (AC 1-3), while in experiments 4.2-4.4,non-challenged (NC) and CC were compared via BWG and OPG, plus LS in experiments 4.1, 4.3, and 4.4.In all experiments, an Eimeria challenge was orally administered.In experiment 4.1, CC displayed the highest BWG during the infection period and AC 3 showed the lowest at 404.55±19.69g and 327.46±15.42g, respectively (p<0.05), with a lack of statistical differences in LS.At 6 days post infection, peak oocyst shedding closely reflected BWG with the lowest knowledge.I am grateful for the people who have helped me on my way to reaching my potential, and would not be where I am today without you all.I would like to express my sincere appreciation to the members of the OARDC Poultry Health Lab.Whitney Briggs, your dedication to keeping this lab organized seems unmatched.I cannot express how much I appreciate the way you keep this lab running like a well-oiled machine, making it look easy when I know it is anything but easy.Thank you for your friendship, advice, endless assistance and patience, and for the shared laughter.Kim Wilson, thank you for your time, dedication, and always having a smile.Audrey Duff, my word guru, it is a pleasure and a privilege to have you as a friend.The constant laughter we have shared makes the days more enjoyable as they fly by.Thank you for being available, both inside and outside of the lab, to make graduate life a bit more bearable.Dr. Lisa Bielke, I am indebted to you for taking me into your lab, nurturing my potential, and helping me recognize my abilities.I am inspired by your intelligence, dedication, and work ethic and I will be forever grateful to the opportunities you have afforded me.I am excited to

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.253
Teacher spread0.231 · 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
Published2018
Admission routes1
Has abstractyes

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