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Record W2099524587 · doi:10.4141/cjas-2014-163

Invited review: Development and expression of dairy calf feeding behaviour

2015· article· en· W2099524587 on OpenAlexafffundvenue
E.K. Miller-Cushon, T.J. DeVries

Bibliographic record

VenueCanadian Journal of Animal Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural AffairsUniversity of Guelph
KeywordsWelfareAnimal welfareBiologyAnimal scienceEcologyEconomics

Abstract

fetched live from OpenAlex

Miller-Cushon, E. K. and DeVries, T. J. 2015. Invited review: Development and expression of dairy calf feeding behaviour. Can. J. Anim. Sci. 95: 341–350. Feeding and housing practices for dairy calves impact performance and growth early in life, as well as feeding behaviour. There is also increasing evidence that early exposure to different feeding and housing strategies influence the development of feeding behaviour. The dairy calf needs access to milk in sufficient quantities to maintain health and high-levels of growth. In addition, intake of solid feed, such as grain concentrate, is necessary early in life to establish fermentation and develop the rumen. In dairy calves, feeding behaviour patterns can have direct impact on nutrient consumption and, consequently, growth. Further, recent research has provided evidence that behaviour patterns that develop in response to management factors early in life may persist once learned, potentially having longer-term implications for health and welfare. Thus, there is potential for various nutritional, housing, and management factors to impact the learning of feeding behaviour early in the life of dairy calves. This review provides several examples of early management factors that influence feeding behaviour of dairy calves and, in turn, impact calf growth and welfare. For example, providing continuous, ad libitum access to milk results not only in greater growth, but also in meal patterns that more closely resemble the natural behaviour of a calf suckling its dam. Housing management also has the potential to influence when, and how much, a calf eats. Whereas social facilitation promotes intake, particularly at weaning, competition for feed in group-housed calves restricts feeding patterns and degree of feeding synchrony. With regards to provision of solid feed, recent data suggest that providing physically effective hay, in addition to grain concentrate, may be beneficial for the rumen environment and consequent growth and efficiency. However, the physical form and presentation of forage may also influence feeding behaviour of calves, in particular feed sorting, which can impact both immediate nutrient intakes as well as the development and persistence of that behaviour. For example, calves provided hay and concentrate as a mixture begin to sort their feed early in life, with the pattern of sorting depending on hay particle size. Feed sorting in young calves may reflect a motivation to consume a proportion of hay in the diet. In general, it appears to be beneficial for early growth and welfare to support milk and solid feed intake through unrestricted allowances and less-competitive feeding environments. Continued research in this area is needed to assess the longevity of learned behaviour patterns, and what factors may influence their persistence.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.004

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 head0.059
GPT teacher head0.262
Teacher spread0.202 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations63
Published2015
Admission routes3
Has abstractyes

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