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EVALUATION OF COLLECTION SAMPLES OF SPRING BARLEY ACCORDING TO A COMPLEX OF VALUABLE ECONOMIC CHARACTERISTICS IN THE CONDITIONS OF THE NOSIVSKA BREEDING AND RESEARCH STATION

2023· article· en· W4387349771 on OpenAlexaboutno aff
N. M. Bunyak

Bibliographic record

VenueBulletin of Uman National University of Horticulture · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPowdery mildewBiologyAgronomyHorticulture

Abstract

fetched live from OpenAlex

The article is devoted to the study of barley collection material and selection of samples with a complex of valuable economic characteristics in the conditions of the Northern Forest Steppe of Ukraine. In the period 2020–2022 was conducted to study 44 sorts and lines of domestic and foreign breeding of various ecological and geographical origins. The majority (18 samples) originate from Ukraine (UKR), 13 from Canada (CAN), 6 from Kazakhstan (KAZ), 4 from the Czech Republic (CZE), 2 from Serbia (SRB) and 1 sample from Austria (AUS), covering 9 varieties (var. nutans, var. inerme, var. ricotense, var. submedicum, var. parallelum, var. pallidum, var. nudum, var. medicum, var. deficiens). During three years of research, the collection material was divided grouping according to the height of the plants and the characteristics that shape productivity. Shortstemmed samples were selected: Clipper (AUS), Polygena, Trebon (SRB), Danielle (CZE), Arthur (CZE) and standard variety Vzyrets (UKR). According to the results of two years (2020, 2022), Shuffle (CZE) and Dianthus (UKR) samples were noted for their low stems. Samples were distinguished by resistance to diseases (powdery mildew, drechslera teres) and the quality of biochemical indicators of grain. According to the results of evaluation and study of spring barley, the best samples with a complex of valuable economic characteristics were selected: Stimul (UKR) and CDC Clear (CAN) (spike length, kernel number per spike, weight of grains from spike, mass of grains from a plant, mass of 1000 grains); Arthur (CZE) (short stem length, spike length, kernel number per spike, weight of grains from spike, weight of 1000 grains) and Inari (CZE) (spike length, kernel number per spike, weight of grains from spike, weight of 1000 grains). The samples Krasen (Orion) (UKR), CDC ExPlus (CAN), CDC Hilose (CAN) were characterized by high productive bushiness. The samples with high protein content (≥16.0%) were: Dianthus, Ly–1059, Ly–1096, Ly–1089 (UKR); Erie and Gateway (CAN).

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.

How this classification was reachedexpand

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.144
GPT teacher head0.304
Teacher spread0.160 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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