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Record W7008053785

Annual forages for grass-fed livestock production and the management practices used on Canadian grass-fed farms

2020· dissertation· en· W7008053785 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2020
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsForageFodderIrrigationSorghumTriticaleProduction (economics)
DOInot available

Abstract

fetched live from OpenAlex

Grass-fed production relies on perennial pastures to ensure high-quality forages are available for livestock. With strategic management, these pastures can in turn provide ecosystem benefits such as erosion protection, water management and wildlife habitat in addition to yielding meat and dairy products for consumers. Grass-fed production in Canada, however, often faces pasture shortages during the mid-summer when warm temperatures result in reduced pasture yields. The objective of this thesis was to better understand grass-fed production within Canada and to study the use of annual forages as a mid-summer feed option in grass-fed production. This was achieved through a research trial and the completion of farm case studies. The trial explored the use of annual forages as a mid-summer feed option in grass-fed production. Below average rainfall resulted in moisture deficit conditions in all site-years. The species tested under organic, grass-fed management were annual ryegrass, winter triticale, oat, millet, corn, and sorghum-sudangrass. Averaged across 3 site-years, sorghum-sudangrass and corn had the greatest total dry matter yield at 7138 and 5466 kg ha-1, respectively. Relative to the other crops in the study, winter triticale had simultaneously among the highest total digestible nutrients and crude protein concentrations and lowest acid detergent fibre concentrations. When the forage quality of the weeds was considered, by examining the total biomass rather than only the crop biomass, millet had simultaneously among the highest total digestible nutrients and crude protein concentrations and lowest acid detergent fibre concentrations. The farm case studies documented the management systems used on two Canadian grass-fed beef farms and two Canadian grass-fed dairy farms with a specific focus on the land base and how the land base was used to feed the cattle over the course of a year. Pasture management was a primary focus at all farms and innovative solutions to common challenges found at the farms included farm partnerships, crop-livestock integration, and grazing dairy cows with calves. The case studies confirmed that Canadian farms are producing both beef and dairy using a completely forage-based diet for livestock.

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 score0.114
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.223
Teacher spread0.198 · 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
Published2020
Admission routes1
Has abstractyes

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