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PRODUCTIVITY OF ALFALFA VARIETIES AND NUTRITIONAL VALUE OF THE RESULTING FEED IN THE CONDITIONS OF THE REPUBLIC OF BASHKORTOSTAN

2025· article· en· W4409617937 on OpenAlexaboutno aff
N.A. Batyakhina N.A., Т. М. Ахметов, Asylbaev Ilgiz G., Akchurin Rifkat L.

Bibliographic record

VenueVESTNIK OF THE BASHKIR STATE AGRARIAN UNIVERSITY · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsProductivityValue (mathematics)BiologyAgronomyBiotechnologyMathematicsEconomicsStatistics

Abstract

fetched live from OpenAlex

Alfalfa is one of the ancient crops cultivated by man. In many countries of the world it is called the queen of herbs and research in the direction of increasing its productivity is always highly relevant. The purpose of the research (2022–2024) is to assess the forage productivity of alfalfa varieties that can reveal their potential in the conditions of the Ufimskaya OS of the Ufa Federal Research Center of the Russian Academy of Sciences located in the southern forest-steppe zone of the Republic of Bashkortostan. The object of the study is the following varieties of variable alfalfa of Russian and foreign selection: Pamyati Yenikeeva (Bashkortostan), Anchor (Canada), Gladiator (USA), Bagira and Krasnodarskaya rannyaya (Krasnodar region), Progress (USA), 3384 (Turkey), Media and Krasnokutskaya variegated hybrid (Saratov region), 19790 (China), Manychskaya (Rostov region), Pestraya 57 (Orenburg region), Lada (Moscow region), Pavlovskaya variegated (Voronezh region). The zoned variety Galiya was used as a standard (st). As a result of the research, promising varieties of alfalfa were identified, characterized by high productivity and quality of forage mass. The Krasnokutskaya variegated hybrid and Anchor varieties significantly exceed the standard, exceeding the green mass yield by 19.9 % and 19.4 %, while the protein content was higher by 2.66 % and 2.73 %, respectively. Particularly noteworthy are the varieties distinguished by early flowering and a high number of seeds per pod – Pestraya 57 (the average number of seeds per pod is 5.6 pcs.); Media and Bagira (5.4 seeds per pod); Pamyati Yenikeeva (4.6 seeds per pod); Manychskaya (4.4 seeds per pod). These varieties are of particular interest for the northern forest-steppe zones of Bashkortostan, where the short growing season does not allow the use of late-ripening alfalfa varieties. A positive correlation was established between the green mass yield, the amount of precipitation (r = 0.493) and GTC (r = 0.461). A weak negative correlation was found between the yield of green mass and the average daily temperature regime (r = –0.282).

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 score0.804
Threshold uncertainty score0.321

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 head0.007
GPT teacher head0.173
Teacher spread0.166 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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