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Record W4293560907 · doi:10.28983/asj.y2022i8pp11-15

Immunological clustering of the spring barley gene pool in the conditions of the Ryazan region

2022· article· en· W4293560907 on OpenAlex
Olga Viktorovna Levakova

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

VenueThe Agrarian Scientific Journal · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsBipolarisPowdery mildewBiologySubspeciesGeographyVeterinary medicineHorticultureBotanyMedicineZoology

Abstract

fetched live from OpenAlex

The article presents the results of field studies of the collection gene pool of spring barley in the conditions of the Ryazan branch of the Federal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM" in 2017-2021 against the natural background of the development of fungal diseases. The aim of the research was to carry out immunological clustering of the collection gene pool of spring barley in the conditions of the Ryazan region and to identify the most promising forms for inclusion in crosses as parental forms. It was revealed that the vast majority of the studied varieties belonged to the group of highly resistant varieties. It was found that more than half of the varieties (57.8%) of the studied collection possessed complex resistance to a group of pathogens (reticulated (Perenophora teres Drechs), dark brown mottling (Bipolaris sorokiniana Shoem), powdery mildew (Erisiphe gramminis D.C.f.sp. hordei Marchal), dusty smut (Usnilago nuda Jen.)). spring barley. The following varieties showed high complex stability: Nur, Reliable, Moskovsky 3, Moskovsky 2, Dvina, Kalita, Hopper, Clear, Griv, Miar, Risk, Choice (Russia); Timerkhan (Tatarstan); Divosny, Gonor, Yakub, Batka, Fest, Khago (Belarus); Hetman, Kharkiv 102, Vinnytsia 17 (Ukraine); Ilek-1, Ilek-34 (Kazakhstan); Delphin (France); Linga, Irbe (Latvia); Izotta, Graice (Germany); Prosa, Pejas (Czech Republic); Collie (UK); B-934 (Canada). The greatest approximate productivity over the years of research has been revealed in the following varieties: Notable (Russia), Gonar (Belarus), Vivaldi (Austria), Eufel, Pioneer (France), Stratus (Poland), which have an advantage over the Yaromir standard by 0.3 – 0.7 t/ha. Reliable variety (Russia) had the highest resistance to lodging out of the entire studied gene pool of spring barley – 8.6 points. The use of a comprehensive ranking assessment revealed the priority of varieties of the Belarusian selection Divosny, Gonar and Czech varieties Pegas, Prosa, which occupy leading positions on the rating scale in terms of resistance to lodging, disease damage and productivity.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.967
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.200
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