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Results of studying wheatgrass (AgropyronGaertn.) accessions from the VIR global genetic resources collection in Yakutia

2021· article· en· W3150248704 on OpenAlex
Venera M. Koryakina, A. A. Kochegina

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

VenuePROCEEDINGS ON APPLIED BOTANY GENETICS AND BREEDING · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsGermplasmAgronomyBiologyCropForageRange (aeronautics)Biomass (ecology)AridGeographyDry matterFodderAgroforestryEcology

Abstract

fetched live from OpenAlex

With the globally changing climate, researchers seek to use plants adapted to extreme environments in breeding and genetic programs. As a forage crop, the wheatgrass from the genus AgropyronGaertn. is most suitable for such purposes. The area of temperature distribution for wheatgrass lies in the range from +42 (arid zone) to –60°C (Verkhoyansk). The use of different wheatgrass species as a crop for arid conditions is quite profoundly studied in the USA, Canada, Russia, and Kazakhstan. Genetic and breeding studies are underway in different countries. In Yakutia, with its extremely continental climate, wheatgrass has not yet been introduced as a crop, although it could play an important role in establishing a sustainable fodder reserve. The aim of the work was to study and select promising breeding source material, identifying germplasm with the best agronomic traits. As a result of a two-year study of 19 accessions of different wheatgrass species from the collection of VIR, undertaken in 2018 and 2019 in the collection nursery in Central Yakutia, plant forms were selected that exceeded the average green biomass yield for two cuts: k-52382 (wild crested wheatgrass, Pavlodar Region, Kazakhstan) by 43%, and k-48705 (wild-growing Kerch wheatgrass) by 40%. Besides, wild wheatgrass accession k-52382 was identified for its dry matter yield (40.2% higher than the average) and for the total green and dry matter yield for the two cuts (212.7 g/plant).Accessions k-52440 (wild Siberian wheatgrass, Stavropol Territory) and k-51330 (crested wheatgrass, Chelyabinsk Province) were selected for their high seed yield (43.5 g/m² and 41.7 g/m², respectively). The content of crude and digestible protein was the highest in k-50857 (crested wheatgrass cv. ‘Ephraim’, USA) and k-50858 (Siberian wheatgrass cv. ‘Vavilov II’, USA): 14.6% and 99 g/kg of feed, and 14.2% and 96 g/kg of feed, respectively. Winter hardiness of 12 accessions turned out to be 100%, with 80% in another 7 accessions.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.319

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.021
GPT teacher head0.215
Teacher spread0.194 · 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