MétaCan
Menu
Back to cohort
Record W4376880766 · doi:10.3103/s1068367423020143

Ecological Study of Alfalfa Varieties of Different Geographical Origin in the South of the Central Russian Upland

2023· article· en· W4376880766 on OpenAlexaboutno aff
М А Тормозин, V I Cherniavskih, L. D. Sajfutdinova, A. A. Zyryantseva

Bibliographic record

VenueRussian Agricultural Sciences · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsBroomFodderSowingBiologyAgronomyDry matterCultivarYield (engineering)Ecology

Abstract

fetched live from OpenAlex

Abstract Research was conducted to study the fodder and seed productivity of alfalfa varieties, alfalfa sowing, and yellow alfalfa of different geographical origin in the potential range of harmful viral phytoplasma infections (“witch’s broom alfalfa”) in the southern Middle Russian uplands and to identify the most productive and resistant varieties for further breeding. Seventeen alfalfa varieties were studied in seed and fodder use. We evaluated varieties and breeding patterns of the Middle Urals (Sarga, Victoria, 193-95 d, 20-89 N, Vela × Sarga), Moscow suburbs breeding (Nakhodka, Vega 87), breeding of the Central Black Earth region (Belgorod 86, Krasnoyaruzhskaya 1, Krasnoyaruzhskaya 2, Pavlovskaya 7), Canada (Dakota), Germany (Verko, Plato), France (Luzelle, Galaxy), and Saratov region (Artemida). Under the conditions of the southern Srednerusskaya Upland, varieties and variety samples of the Ural breeding have the most stable seed yield: at the level of 76.3–84.2 g/m2 on average over 3 years of research. In terms of total dry matter yield over a 3-year period, they are not inferior to domestic and imported varieties, those most widely distributed in the Central Black Earth Region (CCR), and allow for an average 3-year yield of 516.8–537.9 g/m2 dry matter. Among the varieties of hybrid alfalfa and sowing alfalfa, varieties of European selection are most susceptible to virus-phytoplasma infections (VPL): the prevalence of VPL for 3 years is 12.1–16.3% on average. In this group of varieties, varieties of heterohybrid cultivars and breeding samples of Ural alfalfa variegated varieties are least affected: the incidence of VPL averaged over 3 years is 3.3–4.5%. The lowest incidence of VPL was found in the alfalfa yellow variety Pavlovskaya 7, with an average incidence of 1.6% over 3 years. In order to increase alfalfa seed production and its resistance to VPL in the south of the Srednerusskaya Upland, the Ural varieties and selection samples Sarga, Victoria, 193-95 d, 20-89 H, Vela × Sarga, and the yellow alfalfa variety Pavlovskaya 7 should be used in breeding work.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
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 head0.027
GPT teacher head0.225
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

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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRussian Agricultural SciencesSame topicAgricultural Productivity and Crop ImprovementFrench-language works237,207