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Record W4409200054 · doi:10.12737/2073-0462-2025-5-11

EVALUATION OF SOFT SPRING WHEAT LINES AND VARIETIES BY BREEDING INDICES

2025· article· en· W4409200054 on OpenAlexaboutno aff
К. В. Зенкина, Tat'yana Aseeva

Bibliographic record

VenueVestnik of Kazan state agrarin university · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsSpring (device)AgronomyBiologyPlant breedingEngineering

Abstract

fetched live from OpenAlex

The studies were conducted in 2019-2023 to evaluate soft spring wheat samples for the main economically important traits and to identify valuable forms for breeding. The material for the study was 26 varieties and lines of spring soft wheat bred by Far Eastern Research Institute of Agriculture, standard – Khabarovchanka. The soil of the site is meadow-brown podzolic-gley heavy loamy with pHsalt less than 4.5 units. In May-July of 2019, the excessive waterlogging was noted (HTC=2.6), in 2021-2023 – drought conditions (HTC=1.0…1.4), in 2020 – within the average long-term values (HTC=1.7). According to grain yield (35.0…38.2 c/ha), the following varieties and breeding lines were distinguished: 21/1-01, 65/2-11, Zaryanka, 26/2-14, 19/1-14, 14/2-00, 29/8-06, 60/2-09, 11/7-14, Dalira, 48/2-14, 43/3-14, Elizaveta, 22/2-16, 47/1-14, which reliably exceeded the standard by 3.9…6.9 c/ha. The greatest influence on the productivity was exerted by the factor “year” - 67.8%, the effect of the factor “variety” reached 7.7%, their interaction - 24.5%. Promising for breeding work are the lines 94/3-09, 29/8-06, 55/5-09, 48/2-14, 19/1-14, 65/2-11, 26/2-14, 118/1-99, 47/1-14, 11/7-14, 65/1-17, 43/3-14, selected as a result of cluster analysis (Ward’s method) of standardized values of a number of breeding indices: Mexican, which characterizes resistance to lodging (MI = 0.012 ... 0.016); Canadian, allowing to estimate the specific ear yield (KI = 0.153 ... 0.171); Finno-Scandinavian, determining the grain-forming ability (FSI = 0.321 ... 0.383); linear density of the spike, reflecting the genotype-environment relationship (LPC = 3.769 ... 4.292); spike potential, which characterizes potential productivity (IPC = 0.076 ... 0.092); the ratio of size to the number of grains in the spike, demonstrating competitiveness (ICC = 0.976 ... 1.204); prospects, indicating breeding value (IP = 0.326 ... 0.390); plant productivity, which indicates resistance to unfavorable environmental factors (IPR = 7.757 ... 9.713). High-yielding lines with high selection value include 29/8-06, 55/5-09, 48/2-14, 19/1-14, 65/2-11, 26/2-14, 118/1-99, 47/1-14, 11/7-14, 65/1-17, 43/3-14.

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)0.000
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 score0.773
Threshold uncertainty score0.169

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.019
GPT teacher head0.214
Teacher spread0.195 · 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
Published2025
Admission routes1
Has abstractyes

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