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Record W564911090

Исходный материал для селекции овса на устойчивость к красно-бурой пятнистости, корневым гнилям и пыльной головне

2013· article· ru· W564911090 on OpenAlexaboutno aff
А. Б. Сайнакова

Bibliographic record

VenueAchievements of Science and Technology in Agro-Industrial Complex · 2013
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsMetisSmutBiologyHorticultureAgronomyVeterinary medicineMedicine
DOInot available

Abstract

fetched live from OpenAlex

The studies were conducted in the years 2002-2012 in the taiga zone of Western Siberia. Soil test sites sodpodzolic. The humus content of about 2,0%. We studied breeding patterns, surveys and observations were made by the procedures adopted in academia. During the study the degree of injury of oat plants redbrown spot ranged from 4,3 to 76,0 %, epidemics of the disease was observed 1 time. The correlation coefficient between precipitation and infected plants was 0,97 ± 0,02, and between indicators of air temperature and infection of plants is equal to 0,79 ± 0,04. Select only one line of oats 5866/93 [ Horizon χ Metis ] as srednevospriimchivaya. Infection of oat plants root rot does not exceed 25%. As a source of stability we have proposed line 2737/90, 3663/91, 5252/95. Promising combination: [Irtysh χ Monar], [31N714 χ 20N816], [N1121 χ aurea 603]. Immunological monitoring of breeding material allowed us to estimate resistance to loose smut. In hybrid nurseries allocated: 1,1% level combinations lesions less than 5% 75,5% less than 25% 13,4 % less than 50% and 10,0 % of the samples with a strong susceptibility to loose smut 50 %. Have noted a combination of crossing, practical resistance to loose smut : Integrale χ Metis; Commander χ Metis, [(Horizon χ Metis) χ (Skakyn χ 4198/87 )] and [(Metis χ 81N444 ) χ (Komec χ 45N1007)]. In the control samples revealed the nursery with a high resistance 31,4 % practical 17,7 %, the average susceptibility 7,9%; weak 40,7 %, a strong susceptibility 2,3%. Isolated lines with 0 index of sustainability: 2476/97 (Borter χ 17N788 ); 3083/99 (Borter χ 20N816 ); 2514/97 (Irtysh 13 χ 17N788); 2858/02 (Jaak χ Metis). On the background of a provocative test of competitive allocated 43,8 % of the rooms that have a high degree of stability, 20,1% practical resistance, 25,6 % low susceptibility, 9,3% the average susceptibility, 1,2 % a strong susceptibility. Marked lines with a high degree of resistance : 2142/94 (Irtysh 13 χ Monar); 2302/98 (31N714 χ 20N816); 1958/98 (Borter χ 12H794), as well as samples that have defeated loose smut does not exceed 5 % 5252/95 (N1121 χ aurea 603); 1376/90 (Skakyn χ Metis); 3663/91 (Dryg χ 81N444).

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.006
Science and technology studies0.0020.007
Scholarly communication0.0000.002
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.240
Teacher spread0.194 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2013
Admission routes1
Has abstractyes

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