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Record W4253077195 · doi:10.36814/pgr.2021.29.02

Study of lentil varieties from Canada and Turkey in the northern steppe of Ukraine

2021· article· en· W4253077195 on OpenAlexaboutno aff
O. O. Kulinich, KF Kandaurova, I. O. Kobos

Bibliographic record

VenueGenetičnì resursi roslin · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsYield (engineering)CultivarMaximHorticultureGeographyBiologyPolitical sciencePhysics

Abstract

fetched live from OpenAlex

Aim. Evaluate in the northern steppe of Ukraine varieties of lentils grown in Canada and Turkey. Results and Discussion. The features of growth and development of lentil varieties originating from Canada and Turkey have been determined. According to research, varieties of Canadian origin are more adapted to the conditions of the northern steppe of Ukraine, they are almost not inferior in yield to the standard, and some exceeded it in this trait. On average, for three years of research, the most productive variety was CDC Maxim 2.32 t/ha it is 0.16 t/ha more than the standard. Relatively high average productivity at the level of the standard was characterized by cultivars CDC Impress, CDC Imperial, CDC Greenland, CDC Viceroy 2.17-2.09 t/ha. The best yields in 2018 were the variety CDC Greenland – 2.32 t/ha – large seed variety with yellow cotyledons and the variety CDC Maxim – 2.30 t/ha – which belongs to small seeded with red cotyledons, but the excess of yield over the variety Lensa, which was used as a standard, was within the statistical error. In 2019, the variety CDC Maxim was also characterized by the highest yield of 2.02 t/ha, a high yield was also given by the variety CDC Impress 2.02 t/ha. This year, the advantage of these varieties over the standard was statistically significant + 0.36 t/ha. In 2020, the maximum yield was in the varieties CDC Viceroy 2.67 t/ha, and CDC Maxim 2.63 t/ha, but this excess yield compared to the standard was within the statistical error. Varieties from Turkey in given climatic conditions proved to be worse. In all years they yielded less to the yield of the standard and varieties from Canada. The average yield of the most productive variety Altıntoprak was 1.55 t/ha 0.51 t/ha less than the standard, and the maximum of the same variety 2.07 t/ha in 2020 is also less than the standard. Conclusions. In the conditions of the northern steppe of Ukraine, some of the Canadian varieties are not inferior to the local ones in terms of yield, and in some years they exceed them. When sown in the spring, lentils from Turkey are significantly inferior in yield to local and Canadian varieties.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.433

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.190
Teacher spread0.171 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2021
Admission routes1
Has abstractyes

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