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Record W2171746159 · doi:10.4141/a99-090

An examination of fertility, hatchability, embryo mortality, and chick weight in double versus single-yolked broiler breeder eggs

2000· article· en· W2171746159 on OpenAlexfundvenueno aff
G.M. Fasenko, F.E. Robinson, B. L. Danforth, I. Zelter

Bibliographic record

VenueCanadian Journal of Animal Science · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsFlockBiologyHatchingIncubationYolkFertilityEmbryoAnimal scienceBroilerYolk sacPopulationEcologyFishery

Abstract

fetched live from OpenAlex

The objective of this study was to document the fertility and embryonic mortality problems that result in the poor hatchability of double yolk (DY) versus (single yolk) SY broiler breeder eggs. Both SY (n = 64) and DY (n = 141) eggs were collected from a commercial Hubbard Hi-Y flock and the eggs incubated for 21 d. All eggs were candled and weighed at 7, 14 and 18 d, and any non-viable eggs were removed and broken open to assess fertility, and if fertile, stage of embryonic death. Any unhatched eggs remaining after 21 d of incubation were broken open so that fertility, hatchability and embryo mortality could be calculated. Because there is the potential for two chicks to hatch from a DY egg, fertility, hatchability, and embryo mortality were calculated on a per yolk basis rather than an egg basis. Fertility, hatchability, and hatchability of fertile eggs were significantly lower (P < 0.05) in DY compared to SY eggs. Early- (≤7 d of incubation), mid (8–14 d of incubation), and late (≥15 d of incubation) embryonic mortality was significantly higher in DY vs. SY eggs. Chick body weights were significantly greater in solitary chicks hatching from DY eggs versus chicks hatching from SY eggs. Key words: Double yolk, embryo mortality, broiler breeders, chick weight, hatchability, fertility

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.056
GPT teacher head0.279
Teacher spread0.224 · 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.

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

Citations21
Published2000
Admission routes2
Has abstractyes

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