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Effect of inclusion of hatchery discarded infertile egg meal with shell on In vitro digestibility of puppy food

2022· article· en· W4360788561 on OpenAlexaboutno aff
Gurslamat Singh, Sandeep Uniyal, Amit Sharma, Daljeet Kaur, Udeybir Singh Chahal

Bibliographic record

VenueIndian Journal of Animal Nutrition · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquatic life and conservation
Canadian institutionsnot available
Fundersnot available
KeywordsPuppyMealVeterinary medicineHatcheryBiologyAnimal scienceMedicineFood scienceFish <Actinopterygii>Fishery

Abstract

fetched live from OpenAlex

The present study was undertaken to investigate the effect of inclusion of infertile egg meal with shell obtained from the hatchery on in vitro digestibility of commercial puppy food. The infertile egg meal obtained from the GADVASU hatchery was first broken in a tray along with shell and dried in a hot air oven at 65°C for 48 hours and then grinded to form infertile egg meal with shell (IEMS). The IEMS was subsequently analysed for microbiological examination and in vitro digestibility of puppy food at graded inclusion level of 2.5, 5, 7.5 and 10%. The chemical analysis of the IEMS revealed that the DM, CP, EE, CF, TA, AIA, Ca and P was 35.5, 33.2, 26.5, 0.1, 20.5, 0.1, 9.1 and 1.13 %,respectively. The microbiological examination revealed that IEMS samples were negative for Salmonella and E. coli bacteria, while the total viable count was 2060 CFU at 1:10 dilution which subsequently become nil in further dilution and thus the bacterial contamination of IEMS was negligible. Results revealed that the in vitro digestibility of dry matter was significantly (P<0.05) highest in commercial puppy food (87.3 %) and 2.50 % level of IEMS (86.1%) and was significantly (P<0.05) lowest at 10% level of IEMS (82.94%). The in vitro organic matter digestibility was significantly (P<0.05) higher in commercial puppy food (88.4%) and 2.5% IEMS level (87.4%) as compared to 7.5 % (84.8%) and 10 % (84.0%) level of inclusion of IEMS however, it was comparable with 5% level of IEMS inclusion. The ether extract digestibility was significantly (P<0.05) highest in 2.5% level of IEMS (97.0%) and significantly (P<0.05) lowest in commercial puppy feed (91.9%). The crude protein digestibility was significantly (P<0.05) higher in the commercial puppy food, 2.5 %, 5 % and 7.5 % level of IEMS as compared to 10% level of IEMS. It was concluded that IEMS is a good source of alternative protein and can be included at 2.5 and 5 % level in the diet of Labrador puppy food.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.134

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 studies0.0000.000
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 head0.011
GPT teacher head0.220
Teacher spread0.208 · 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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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