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Record W2884427044 · doi:10.26898/0370-8799-2018-3-3

ECOLOGICAL PLASTICITY OF SPRING OATS IN THE CONDITIONS OF WESTERN SIBERIA

2018· article· en· W2884427044 on OpenAlexaboutno aff
M. A. Kozyrenko, V. N. Pakul, Д. Е. Андросов

Bibliographic record

VenueSiberian Herald of Agricultural Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsChernozemLoamHumusSpring (device)Yield (engineering)Soil textureGrain yieldAgronomyGeographyEnvironmental scienceBiologyEcologySoil water

Abstract

fetched live from OpenAlex

The works presents the results of studying 165 specimen of spring oats from the world collection The N.I. Vavilov All-Russian Research Institute of Plant Genetic Resources. The research was conducted in the northern forest-steppe zone of Western Siberia in 2014-2016. The soil on which the research was done can be characterized as leached chernozem, heavy loam by texture and particle size distribution, of medium capacity. The content of humus equals 7.8%, reaction of soil solution is close to neutral, рН is 6.0. In the horizon of 0-40 cm the content of N-NO3 is 35.4mg/kg, P2O5 – 122 mg/kg, K2O – 98 mg/kg. An assessment is given to spring oat specimen by the parameters of ecological plasticity bi and yield stability Si2 . The research was conducted in the conditions characterized in accordance with the index of environmental conditions Ij. The most favourable conditions developed in 2016, when the environment index Ij equaled 109.2. Adverse conditions were identifi ed in 2014, when Ij equaled -46.25, and in 2015, when Ij equaled -62.99. By the results of the dispersion analysis the dominating infl uence of environmental conditions on the yield of spring oat specimen is established at 85.3%, the share of genotype infl uence is 2.6%. Eight specimen of spring oats proved to exceed Creole standard variety by yield with the trait variability being from 29.3% to 87.1%. Sources for creation of intensive type varieties, with high responsiveness to favorable conditions for growth and development are identifi ed: IL 86-1158 (to 14316, the USA), Jumbo (to 14702, Germany), Hamilton (to 14761, the USA), Talisman (to 14785, Russia), Omikho (to 14827, Russia), OA 269 (to 14992, Canada), Stayer (to 15181, Russia), Eclipse (to 15187, Russia). High-yielding genotypes which react to environmental conditions to a medium degree (bi is nearing a unit), and have high yield stability (Si2 is nearing zero) are defi ned, namely Express (to 14505, Russia), bi = 1.04, Si2 = 0.053, Yubilyar (to 14723, Belarus), bi = 0.92, Si2 = 0.070, C.I. 7321 (to 14737, the USA), bi = 1.09, Si2 = 0.076, Vallntin (to 15189, Slovakia), bi = 1.13, Si2 = 0.050, CDC Bell (to 14805, Canada), bi = 0.62, Si2 = 0.0065.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.437

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 head0.019
GPT teacher head0.239
Teacher spread0.220 · 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 designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

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