MétaCan
Menu
Back to cohort

Analysis of polymorphism of strawberry genotypes (Fragaria L.) according to the strawberry red root spot resistance gene RPF1 for identification of strawberry forms promising for breeding and horticulture

2020· article· en· W3048225184 on OpenAlexaboutno aff
А. С. Лыжин, I. V. Luk’yanchuk

Bibliographic record

VenueProceedings of the National Academy of Sciences of Belarus Agrarian Series · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsnot available
Fundersnot available
KeywordsFragariaBiologyGenotypeMarker-assisted selectionHorticultureGenetic markerBotanyBreeding programAlleleCultivarGeneGenetics

Abstract

fetched live from OpenAlex

Red root spot (Phytophthora fragariae var. fragariae Hickman) is one of the most important strawberry diseases in the temperate climate zone. Identification of forms, carrying resistance genes, is an important stage in breeding programs aimed at obtaining red root spot resistant strawberry varieties. Diagnostic DNA markers of target genes will increase reliability of identification and efficiency of strawberry breeding for the creation of resistant genotypes. The purpose of this study is analysis of polymorphism of wild species of Fragaria L. genus and strawberry varieties (F. × ananassa Duch.) according to the strawberry red root spot resistance gene Rpf1 using molecular markers. The research sunjects were the wild species F. orientalis Los., F. moschata Duch., F. ovalis Rydb., F. virginiana Duch. ssp. platypetala and strawberry varieties (F. × ananassa Duch.) of different ecological and geographic origin. Total genomic DNA of strawberry was extracted from the fresh leaves using the Puchooa method. To assess the allelic state of Rpf1 gene, SCAR-R1A marker (linked to the Rpf1 dominant allele) and OPO-16C marker (linked to the rpf1 recessive allele) have been used. SCAR-R1A marker was identified in wild species F. virginiana Duch. ssp. platypetala (vegetation region: British Columbia, Canada), pineapple strawberry varieties Bylinnaya and promising selected forms 62-41 (Bylinnaya × Feyyerverk), 65-17 and 65-24 (Olimpiyskaya nadezhda × Bylinnaya). These genotypes are characterized by heterozygous Rpf1rpf1 genotype according to Rpf1 gene (both markers are present in genotype) and can be used as red root spot resistance source in marker-assisted selection. In the remaining studied genotypes of strawberry, SCAR-R1A marker was not detected, which presumably indicated their homozygous recessive genotype rpf1rpf1 according to Rpf1 gene. The research results can be useful for breeders of strawberry and researchers of plant biodiversity of p. Fragaria.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.049
GPT teacher head0.282
Teacher spread0.232 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of Sciences of Belarus Agrarian SeriesSame topicBerry genetics and cultivation researchFrench-language works237,207