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Record W2003218007 · doi:10.4141/a05-032

Body weights, carcass characteristics, fat content, and their relationships in ganders of the Selected Chinese and Synthetic strains, and Embden-sired strain crosses

2005· article· en· W2003218007 on OpenAlexaffvenueabout
J.N.B. Shrestha, A.A. GRUNDER

Bibliographic record

VenueCanadian Journal of Animal Science · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyCrossbreedStrain (injury)SireAnimal scienceCarcass weightBody weightVeterinary medicineAnatomyMedicine

Abstract

fetched live from OpenAlex

In 1986, 247 ganders of the Selected Chinese and Selected Synthetic strains, and Large Embden and Small Embden- sired strain crosses at the Greenbelt farm of the Centre for Food and Animal Research in Ottawa, Canada, were evaluated. The Chinese and Synthetic (developed from the Pilgrim, Chinese and Hungarian) strains had been selected for four generations to increase egg production over a 24-wk laying period and body weight at 16 wk of age, and simultaneously decrease total fat content. Two Embden strains, Large and Small, denoting contrasting body sizes, had been imported from the United States of America for potential use in crossbreeding as terminal sire strains. Strains and strain crosses were ranked from high to low, for body weights at 9 and 16 wk of age, liveweight at slaughter and eviscerated carcass weight. Large Embden × Selected Chinese were largest followed by Small Embden × Selected Synthetic and Small Embden × Selected Chinese strain crosses, in turn followed by the Selected Chinese and Selected Synthetic strains. Small Embden-sired crosses were not significantly different except for body weight at 9 wk of age and eviscerated carcass weight. The Large Embden × Selected Chinese strain cross had a dressing percent of 63, significantly higher than 60–61% for the remaining strains or strain crosses. In general, the ranking of strains and strain crosses for liver weight was similar to rankings for body weights, except that the Small Embden-sired crosses were not significantly different from the Selected Chinese strain, and the Small and Large Embden-sired Selected Chinese crosses had similar liver weight. The Selected Synthetic strain had a significantly smaller neck than that of the other strains and strain crosses; Small Embden-sired crosses were not significantly different. Large Embden × Selected Chinese and Small Embden × Selected Synthetic strain crosses and the Selected Chinese strain had similar neck weight. When fat was expressed as a percentage of carcass weight, the strains and strain crosses had similar proportion of abdominal fat. On the other hand the Large Embden × Selected Chinese strain cross had significantly more intestinal fat (4.83%) than any of the strains and strain crosses (2.97 to 3.73%) and a similar proportion of total fat (10.87%) to the Small Embden × Selected Chinese strain cross (8.79%) but significantly more than the remaining strains and strain crosses (7.53 to 8.20%). The correlations of body weights at 9 and 16 wk of age with eviscerated carcass weight (0.65 and 0.90), abdominal fat weight (0.32 and 0.59), intestinal fat weight (0.27 and 0.55) and total fat weight (0.23 and 0.47) were deemed potentially useful. The correlations between percentage of fat parameters and body weights were low (0.20 a n d 0.37) or negligible. The inherent potential in the large-bodied Embden strain for growth can complement the small-bodied Selected Chinese strain that excels in egg production, fertility and hatchability to produce a strain cross with considerable promise for commercial production of goose meat. Key words: Chinese strain, Synthetic strain, Embden strain, body weights, abdominal and intestinal fat

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.220
Teacher spread0.187 · 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

Citations1
Published2005
Admission routes3
Has abstractyes

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