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Record W7112102988

Evaluation of Yellow-flowered Alfalfa (Medicago sativa L. subsp. Falcata (L.) Arcang.) for Grazing in the Northern Great Plains

2011· article· W7112102988 on OpenAlexaboutno aff

Bibliographic record

VenueOpen PRAIRIE (South Dakota State University) · 2011
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicPasture and Agricultural Systems
Canadian institutionsnot available
Fundersnot available
KeywordsGrazingPerennial plantPastureAgropyron cristatumPopulationSeeding
DOInot available

Abstract

fetched live from OpenAlex

Alfalfa (Medicago saliva L.) is a perennial legume that is widely utilized for hay, pasture, haylage, and green manure in the United States and Canada. Inclusion of alfalfa in grazing lands in the Northern Great Plains has been an interest for many years. However, persistence of alfalfa under grazing can be poor, especially when harsh environemental conditions contribute additional stress. Demand exists for alfalfa that can establish and persist in semiarid grazing lands. A naturalized population of predominantly yellow-flowered alfalfa (Medicago saliva L. subsp ..falcata [L.] Arcang.) exists in the Grand River National Grassland in northwestern South Dakota. Increased use of this alfalfa in agricultural production systems has the potential to provide sustainable benefits. Few studies have evaluated persistence and performance of naturalized yellow-flowered alfalfa in comparision with other alfalfa populations. Contemporary research about interseeding naturalized yellow-flowered alfalfa in semiarid grazing lands is also needed. Our objectives were: I) to determine the suitability of yellow-flowered alfalfa populations for pasture use in the Northern Great Plains, and 2) to evaluate the effect of seeding date, sod suppression, and seeding rate on initial establishment of yellow-flowered alfalfa interseeded in crested wheatgrass [Agropyron cristatum (L.) Gaertn.]. Research was conducted in the Northern Great Plains to address these two objectives. Research results revealed that yellow-flowered alfalfa populations are persistent under a wide variety of stresses including mob grazing and ice sheets. Initially establishing yellow-flowered alfalfa in crested wheatgrass stands is possible. However, growing conditions (e.g. precipitation) appear to have a greater influence on initial establishment than seeding date, sod suppression, and seeding rate. This thesis is intended to provide the reader with relevant information about yellow-flowered alfalfa research conducted from 2006 through 20 l 0. The author encourages future research that would expand on the studies described in this thesis.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

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 head0.103
GPT teacher head0.253
Teacher spread0.150 · 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
Published2011
Admission routes1
Has abstractyes

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