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EVALUATION OF ECONOMIC CHARACTERS OF SOYBEAN VARIETIES UNDER THE CONDITIONS OF THE FOOTHILL-STEPPE ZONE OF EAST KAZAKHSTAN

2023· article· en· W4387896603 on OpenAlex
Larisa Merk, Elena Gerasimova, Stalina Zharkova

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

VenueVestnik Altajskogo gosudarstvennogo agrarnogo universiteta · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsSteppeGeographySunriseAgronomyBiologyArchaeologyMeteorology

Abstract

fetched live from OpenAlex

Half of the world’s plant protein consumption is made up of soy proteins. The cost of soy protein is several times lower than protein of animal origin. A third of the vegetable oil consumed by humans in the world is soybean oil. More than 400 types of food products are produced from soybean grains. The rapid development of the soybean growing and processing industry predetermines the expansion of commercial seed production volumes. This may be achieved by introducing highly productive commercial soybean varieties into other regions. This paper discusses the research findings on economic characters of 38 soybean varieties developed in Kazakhstan, Russia, Ukraine, Belarus, Germany, Canada and China under the conditions of the foothill-steppe zone of East Kazakhstan. The experiments were carried out under rainfed conditions. The length of the growing season and the yield formula of the varieties were determined. The indices of the protein and oil content in the seeds were evaluated. Regarding the length of the growing season, the varieties belong to the ultra-early ripening, very early ripening and early ripening groups. All studied varieties ripen under the conditions of the foothill-steppe zone of East Kazakhstan. Significant gains of 0.24-0.89 t ha of seed yields over the control were obtained from the following varieties: Vostochnaya krasavitsa, Tanais, Korsak, Saska, L. Viz, VNIIS-1, Dauriya, and Oressa. The lowest yields were obtained from the following varieties: Kharbin, L-N-S, Altom, Kofu, and Sibiryachka. The highest protein content in seeds was found in the varieties Alua - 39.4% and Vostochnaya krasavitsa - 39.0%. Protein content from 37.3 to 36.0% was found in the following varieties: Oressa, Ros, Pripyat, Volma, Lybid, Garmoniya, L-S-6, Sibiryachka, Zolotistaya, Soer 4, Daneliya and Saule. In the varieties Birlik KV, Vostochnaya krasavitsa, Alua, Lidiya, Dauriya, Soer 4, Amurskaya 401, L-S-6, Skulptor, Sunrise, Lybid, Desna, Tanais and Korsak, the thousand-seed weight was above 140 g. The largest seed weight was found in the varieties Korsak - 184.3 g and Tanais - 177.3 g.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.224
Teacher spread0.191 · 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