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Record W4410490973 · doi:10.3368/npj.25.3.179

Optimizing regeneration protocols for native Seeds of Success–collected milkvetch (<i>Astragalus</i>spp.) genetic resources

2025· article· en· W4410490973 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNative Plants Journal · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsAstragalusBiologyRegeneration (biology)FabaceaeBotanyTraditional medicineMedicineGenetics

Abstract

fetched live from OpenAlex

<h3>Abstract</h3> The USDA ARS National Plant Germplasm System conserves and promotes the use of important agricultural and ecological plant germplasm. In these collections, ~23,000 accessions representing 147 plant families have been acquired through the Bureau of Land Management Seeds of Success program. Unlike many of the cultivated crops in the collections, a significant proportion of these species lack basic biological information necessary for seed regeneration and long-term conservation. To fill knowledge gaps, we studied 5 native milkvetch (<i>Astragalus</i> L. [Fabaceae]) species to optimize germination protocols, characterize phenological and phenotypic traits, and test pollinator efficiency using various pollinator treatments. Germination trials tested 3 cold stratification (0, 2, or 6 wk in 4 °C [40 °F]) and 2 germination temperature (low: 15/25 °C [59/77 °F] and high: 20/30 °C [68/86 °F]) treatments in a full factorial design. Germination trial seedlings were outplanted at 2 sites (Prosser and Pullman, Washington) in fall 2020. We evaluated 3 pollination methods using honeybee (<i>Apis mellifera</i> Linnaeus [Apidae]), alfalfa leafcutting bee (<i>Megachile rotunda</i> Fabricius [Megachilidae]), and open pollination. Cold stratification increased germination in <i>A. drummondii</i> but had little effect on the other 4 species. Germination at the lower incubation temperatures was as effective, if not better, than germination at the higher temperatures. Only Canadian milkvetch (<i>Astragalus canadensis</i> L.) and two-grooved milkvetch (<i>A. bisulcatus</i> (Hook.) A. Gray) had sufficient survival in the Pullman location to move forward with pollinator treatments. Differences were not found in pollinator treatments for seed set or yield (<i>P</i> &gt; 0.05). <i>Astragalus canadensis</i> and <i>A. bisulcatus </i>performed generally better than other species evaluated with the highest number of established and surviving plants, good seed set, and highest seed yields. This research provides critical information on germplasm management and suggests the need for further research on protocol development.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.030
GPT teacher head0.290
Teacher spread0.261 · 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