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Productivity and parameters of adaptability of collection specimens of the cocksfoot

2022· article· en· W4223470861 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

VenueAgrarian science · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptabilityDactylis glomerataForageProductivityGeographyGrazingAgricultureGrowing seasonYield (engineering)AgronomyBiologyEcologyPoaceaeArchaeology

Abstract

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Relevance. The cocksfoot (Dactylis glomerata L.) remains an agricultural crop of high fodder value for the Komi Republic, grown both in pure form and as one of the components in grass mixtures. This forage grass is recommended for use in hayfields and pastures, being high-yielding, retaining for a long time in grass mixtures, growing quickly after mowing and grazing. Methods. In the collection nursery of the Institute of Agrobiotechnology named A.V. Zhuravsky of the Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences (Komi Republic, Syktyvkar), from 2016 to 2018, promising populations of cocksfoot of various ecological and geographical origin were studied by economic characteristics and parameters of adaptability, obtained from the world collection of Federal research center «N.I. Vavilov all-Russian Institute of Plant Genetic Resources – VIR»: 11 from the Northwestern Federal District of Russia (Komi Republic, Arkhangelsk, Pskov and Leningrad regions), 3 from the Ural Federal District (Tyumen and Sverdlovsk regions), 1 from the Siberian Federal District (Tomsk Region), 4 foreign samples from Northern Europe (Norway, Finland) and North America (Canada). The purpose of the research is to evaluate the yield indicator of green mass of specimens of cocksfoot in the collection nursery, to establish the parameters of adaptability and, on their basis, to select the most promising numbers for further breeding work. During the growing season during the years of research, various meteorological conditions were noted, which reflected the unstable nature of the fallout and distribution of precipitation, which made it possible to comprehensively evaluate the specimens of the cocksfoot and give them a more objective assessment based on the prevailing external environmental conditions. Results. As a result of research, it was found that according to a set of economically valuable parameters, specimens 45945, 47268 and 41826 were identified with a yield of green mass on average for two cuttings of 205–237 c/ha. Based on the obtained parameters of adaptability, specimens 36684, 47268, 33392 are classified as the most stable and plastic ones, which represent a valuable source material for further study and breeding work.

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)0.001
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 score0.657
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.018
GPT teacher head0.188
Teacher spread0.170 · 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