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Record W3151495624 · doi:10.5539/jsd.v14n2p179

Morphological and Volumetric Characteristics of Holstein-Gir Crossbred Calves’ Stomachs Fed Diets Comprising Cheese Whey and Milk Powder

2021· article· en· W3151495624 on OpenAlexvenueno aff
Maria Vivianne Freitas Gomes de Miranda, Tiago da Silva Teófilo, Ana Paula Pinheiro de Assis, Hélia Maria de Souza Leite, Andrezza Kyarelle Bezerra de Moura, Vítor Lucas de Lima Melo, JOSE Domingues Fontenele Neto, Patrícia de Oliveira Lima

Bibliographic record

VenueJournal of Sustainable Development · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsRumenCrossbreedWhole milkBiologyFood scienceDry matterAnimal scienceFermentation

Abstract

fetched live from OpenAlex

The objective of this study was to evaluate the effect of powdered cheese whey and milk powder as a substitute for whole milk on rumen development in calves up to 60 days of age. Twenty-one-week-old Holstein-Gir crossbred calves were randomized across four treatments and six replicates: LI: whole milk (Control); LP: milk powder; LPS1: 80% milk powder + 20% cheese whey powder; LPS2: 60% Milk Powder + 40% Cheese Whey Powder. The animals were slaughtered at 60 days of age. The consumption, weight of stomach and its compartments, ruminal papilla height, and rumen proliferative activity were measured. Dry matter intake, absolute and relative weights of the gastric compartments were similar. Significant differences were found in the development of rumen papillae and the mean height of the ventral sac was higher in the animals that received whole milk. There were no significant differences for cell proliferation rate in rumen papillae. It is suggested that feeding calves whey with powdered milk may be a viable alternative to the use of whole milk without harming dairy calves.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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 studies0.0000.000
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 head0.016
GPT teacher head0.230
Teacher spread0.214 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable DevelopmentSame topicRuminant Nutrition and Digestive PhysiologyFrench-language works237,207