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Record W2907587706 · doi:10.2991/agrosmart-18.2018.50

Agronomic Characters of Hulless Barley Collection

2018· article· en· W2907587706 on OpenAlexaboutno aff
Vera Mikhailivna Gubanova, Mikhail Gubanov, A. A. Gryaznov

Bibliographic record

VenueInternational scientific and practical conference "Agro-SMART - Smart solutions for agriculture" (Agro-SMART 2018) · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The research was conducted in 2011-2013 in the northern forest-steppe of the Tyumen region.The vegetation period of hulless barley samples ranged from 63 to 80 days.The samples with the length of stages -seedling-heading -38-42 days and heading-ripening -29-33 days produced the yield higher than the standard Omsk bare-grain 1 by 2.9-60.6%.The largest number of samples (56.6%) formed the eighth group where protein content was 15.1-17.0%;30.2% of the samples appeared to be in the ninth group (17.1-20.1%),and 13.2% -in the seventh (14.0-14.9%).The highest average 1000 grain weight was observed in barley samples of the ninth group (42.8 g).The samples of the eighth group showed a lower characteristic value (40.3 g) while the samples of the seventh group where protein content was 14.0-14.9%had the lowest value (39.9 g).The average starch content in the samples of all groups was at the level of 58.8-60.5%.The limits of starch variations in barley samples were higher in the seventh group with high protein content.In the same group, the variation range of a trait was much higher (14.2%).The grain-unit g/cm 3 increased on average from 6.5 (seventh group) to 6.7 (ninth group).The largest variation range was in the eighth group (2.0).A reliable positive correlation with yielding properties was found in the group with very high protein content (17.1-20.1%).The highest correlation coefficients were found by interrelations with: protein content (r=0.400),1000 grain weight (r=0.687) and grain-unit g/cm 3 (r=0.656).A reliable negatively-associated relationship was found between the starch content and the yield (r=-0.382).The following samples showed high resistance to stem rust (Puccinia graminis Pers), namely: Local (k-3115, Tajikistan), Local (k-3170, Tajikistan), Local (k-3772, Dagestan), Local (k-19709, Denmark), Local (to-21747, Dagestan).By lodging resistance at the level of 9 points, the following samples were distinguished, namely: Local (k-3038, Turkmenistan), Local (k-3165, Tajikistan), Local (k-3938, Mongolia), Buck CDC (k-30173, Canada).In the ninth group with high protein content (17.1-20.1) the local sample from Tajikistan (K-3770) formed standard starch content (60.8%).The local cultivars from Iran (k-3082) and Georgia (k-838) had the highest 1000 grain weight (52.7-55.5 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.

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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.057
GPT teacher head0.278
Teacher spread0.221 · 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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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