MétaCan
Menu
Back to cohort

Screening of world collection of grain crops in middle prizmurie to create tolerant varieties for infectious diseases

2019· article· en· W2989019274 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 · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyAgronomyCropMonocultureAgriculturePhytosanitary certificationBiotechnologyHorticulture

Abstract

fetched live from OpenAlex

The phytosanitary situation in the agro-biogeocenoses of the Middle Amur Region was considerably complicated due to noncompliance of the rules of crop rotation, oversaturation with a monoculture (soybean), instability of the hydrothermal regime, contributing to a large extent to the spread of a whole complex of diseases. Therefore, continuous monitoring of the gene pool of cereal crops for virulence to fungal diseases in the Middle Amur Region is particularly relevant. In this regard, the purpose of research is to screen the world collection of crops in the Middle Amur Region in order to create varieties that are tolerant to infectious diseases. Based on this, the main tasks of breeding work are to screen the world collection of cereals, isolate efficient sources and donors, and create new varieties and lines of grain crops with high resistance to the most harmful diseases. Over the past twenty years, screening of collection samples of grain crops for phytopathological resistance to fungal diseases and against a natural infectious background has been carried out on the experimental and specifically selected fields of the Far Eastern Research Institute of Agriculture. The object of research is spring wheat, spring oats, spring barley. As a result of research, a decrease in the damage of varieties of grain crops by all types of rust diseases and helminthosporium patches was established. By repeated hybridization and individual selections with the inclusion of effective sources and donors, varieties that are resistant to infectious diseases were created: spring oats - Express, Tigroviy, Premier, Marshal; spring wheat - Khabarovsk, Zaryanka, Lira 98, Elizaveta, Priamurskaya; spring barley - Yerofey, Rus', Musson, Kazminsky. The new generation varieties were transferred to the State Varietal Testing - Cardinal oats, Anfeya wheat and Khabarovsk barley with high immunity to pathogens of various etiologies. New lines of spring wheat, oats and barley, combining high productivity with resistance to the local pathogenic complex of diseases, were identified. There are varieties of spring triticale with high resistance to infectious diseases - AC Certa (Canada), Lana (Belarus), Skory (Leningrad region), Lotos (Belarus), Mykola (Ukraine), Yarilo (Krasnodar region), Pamyat’ Merezhko (Vladimir region .).

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 score0.784
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.018
GPT teacher head0.217
Teacher spread0.198 · 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