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Record W2393960955

Backcross Experiment of Shaziling Pig

2008· article· en· W2393960955 on OpenAlexaboutno aff
Yang Shi

Bibliographic record

VenueActa Ecologiae Animalis Domastici · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsBackcrossingLarge whiteBreedAnimal scienceBiologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

C×S(Canadian-Yorkshire×Shaziling) 2-way cross sows were mated with Shaziling boar.16 piglets which were experimental groups divided into two groups(F2 white group and F2 color group,8 heads pergroup) were chosen from F2,meanwhile 8 Shaziling piglets were chosen as control group.Experimental pigs of three groups were fed the same diet of energy and protein level.The trial lasted for 147 days.The results showed the daily gain(580.36g),feed/meat(3.96),lean meat rate(45.64%) of F2 white group were as similar as the F2 color group,and the above indexes of both groups were higher than that of the Shaziling group(510.63g,4.20,40.86%).Compared with orthogonal C×S,the daily gain of the F2 backcross pigs was as similar as orthogonal pigs,and feed/meat 8.17% higher,and lean meat rate 8.66% lower.The experiment indicated that backcross was not suitable in the swine production.The backcross will bring about hair color segregation and is harmful for conserration of local pig breed.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.232
Teacher spread0.194 · 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 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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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