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The results of breeding work on naked spring barley

2021· article· en· W3210545133 on OpenAlex
Э. С. Дорошенко, Е. Г. Филиппов, А. А. Донцова, Д. П. Донцов, О. Yu. Petrenko

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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

VenueGrain Economy of Russia · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsCropHordeum vulgareGeographyProductivitySpring (device)BiologyAgronomyHorticultureAgricultural sciencePoaceaeEngineering

Abstract

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In recent decades, the demand for naked barley grain on the market has increased, that is why the breeders of the leading institutions of the Russian Federation resumed breeding research to develop new naked barley varieties. In this regard, the purpose of the current study was to develop a breeding material for naked spring barley, adapted to the conditions of the Rostov region and, on its basis, new varieties. There have been developed the new naked barley variety with high productivity and grain quality, adapted to the conditions of the North Caucasus. The study was carried out in the scientific crop rotation of the department of barley breeding and seed production of the FSBSI Agricultural Research Center “Donskoy” (Zernograd) in 2014–2020. Based on the best local spring barley varieties (‘Leon’ and ‘Shchedry’) and naked varieties of the VIR collection (‘Mancuria’ (Sweden), ‘NB-OWA’ (Nepal), ‘CDC-Dawn’ (Canada), ‘K-3780’ (Tajikistan) and ‘Golozerny’ (RF)) there have been developed and studied the new naked barley lines. There was found that according to the trait ‘plant height’ the lines ‘Leon x Golozerny’ and ‘Leon x Mancuria’ belonged to the middle-height group (90.2 cm and 83.4 cm, respectively). The rest of the lines belonged to the tall group, their height varied from 96.5 cm to 100.3 cm. According to the trait ‘earing date’ there has been identified the line ‘Leon x Golozerny’ (24V), which is more early-ripening (5 days less than that of the standard). The same line turned out to be the only one that significantly exceeded the standard (the standard variety ‘Ratnik’ on 4.5 t/ha) according to productivity +0.3 t / ha, and taking into account the absence of hulls, this difference significantly increased to +0.7 t/ha. There was established that according to the trait ‘1000-grain weight’, the lines ‘Leon x Mancuria’, ‘Leon x CDC-Dawn’, ‘Leon x K-3780’ and ‘Leon x Golozerny’ significantly exceeded the standard variety. The best indicators of grain quality were identified for the lines ‘Leon x K-3780’ and ‘Leon x Golozerny’. The lines ‘Leon x Mancuria’ and ‘Leon x Golozerny’ were the most resistant to powdery mildew. The current paper has presented the characteristics of the new naked spring barley variety ‘Zernogradsky 1717’, which has a great productivity and a set of positive economically valuable traits.

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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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.150

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 studies0.0000.000
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 head0.017
GPT teacher head0.189
Teacher spread0.172 · 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