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Record W3003781446 · doi:10.25630/pav.2019.45.82.006

Динамика поражения сортов картофеля вирусом Y в полевых условиях

2019· article· ru· W3003781446 on OpenAlexaboutno aff
J.S. Panicheva, D. M. Vasiliev, Т. П. Супрунова, A.N. Sakharov, А. Н. Игнатов

Bibliographic record

VenueKartofel` i ovoshi · 2019
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsPotato virus YBiologySolanum tuberosumCropPotyvirusHorticultureVirusAgronomySowingPlant virusVirology

Abstract

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Картофель (Solanum tuberosum L.) – одна из наиболее важных продовольственных культур в мире. Высокая заболеваемость картофеля вирусными болезнями серьезно влияет на урожайность культуры, приводя к экономическим потерям из-за выбраковки семенного картофеля и увеличения потерь при хранении. Вирус картофеля Y (Potato Virus Y, PVY) – наиболее распространенный и экономически значимый вирус по воздействию на урожай и качество клубней. В России общая частота заражения партий семенного картофеля вариантами PVY, по литературным данным, составляет не менее 55,8%. Цель исследования: влияние сорта картофеля на динамику накопления и распространения вирусной инфекции PVY в полевых условиях. Динамика накопления и распространения вирусной инфекции PVY была изучена в 2017–2018 годах на растениях 6 сортов картофеля (Торонто, Индиго, Манхеттен, Лайонхарт, Кармен, Вализа) селекции СГЦ «Дока-генные технологии» (Рогачево, Московская обл.) при различной степени семенного заражения. В полевом сезоне 2017 года на трех различных участках (с исходной зараженностью вирусами Y, X, S, M, A и PLRV не более 1%) была проведена искусственная инокуляция растений вирусом Y (штамм PVY-O). В 2018 году был собран посадочный материал шести сортов картофеля, удовлетворявший требованиям по сортовому разнообразию и контрастной зараженности в виде клубней, мини-клубней или микроклональных растений. Для оценки степени поражения отдельных растений использовали девятибалльную шкалу оценки вирусоустойчивости, для оценки влияния зараженности вирусом Y на рост растений был проведен биометрический анализ растений. Показ+ано, что при оптимальных условиях для развития и распространения вирусной инфекции в поле в 2018 году, динамика накопления вируса зависела от начальной степени зараженности растений и от сорта, а урожайность не коррелировала с ростом надземной части растений картофеля. При непосредственном соседстве здоровых и зараженных растений наблюдалось быстрое распространение патогена даже при использовании средств борьбы с переносчиками вируса. Potatoes (Solanum tuberosum L.) are one of the most important food crops in the world. The high incidence of viral diseases in potatoes has a serious impact on crop yields, resulting in economic losses due to culling of seed potatoes and increased storage losses. Potato Virus Y (Potato Virus Y, PVY) is the most common and economically significant virus in terms of crop and tuber quality effects. In Russia, the total frequency of infection of seed potato batches with PVY variants, according to literature data, is over 55.8%. The aim of our study was to study the effect of potato variety on the dynamics of accumulation and spread of PVY virus infection in the field. Dynamics of accumulation and spread of virus infection PVY under field conditions was studied in 2017–2018 plants of 6 varieties of potatoes (Toronto, Indigo, Manhattan, Lionhart, Carmen, Valiza) selection of LLC SGC Doka-gene (Rogachevo, Moscow region) under different levels of seed infection. In the 2017 field season, artificial inoculation of plants with Y virus (strain PVY-O) was carried out at three different sites (with initial infection with Y, X, S, M, A and PLRV viruses not exceeding 1%). In 2018, the planting material of 6 potato varieties was collected, which met the requirements for varietal diversity and contrast contamination in the form of tubers, mini-tubers or microclonal plants. To assess the degree of damage to individual plants, a 9-point scale of viral resistance was used, to assess the impact of y virus infection on plant growth, a biometric analysis of plants was carried out. It is shown that under optimal conditions for the development and spread of viral infection in the field in 2018, the dynamics of virus accumulation depended on the initial degree of infection of plants and on the variety, and the yield did not correlate with the growth of the above-ground part of potato plants. In the immediate vicinity of healthy and infected plants, there was a rapid spread of the pathogen, even with the use of vector control.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.009

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 head0.012
GPT teacher head0.196
Teacher spread0.184 · 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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Citations4
Published2019
Admission routes1
Has abstractyes

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