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Record W7056521125

Genetic mapping of leaf rust (Puccinia triticina Eriks.) resistance in durum wheat (Triticum turgidum var. durum L.)

2019· dissertation· en· W7056521125 on OpenAlexfundaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersAgriculture and Agri-Food Canada
KeywordsRust (programming language)Wheat leaf rustDoubled haploidyTriticum turgidumQuantitative trait locusGenePopulationResistance (ecology)Gene mappingPuccinia recondita
DOInot available

Abstract

fetched live from OpenAlex

Leaf rust, caused by Puccinia triticina Eriks. (Pt = P. recondita Rob. Ex Desmaz. F. sp. tritici), is an economically significant pathogen affecting durum wheat (Triticum turgidum var. durum L.) crops worldwide. Genetic resistance is one of the most effective and environmentally friendly methods to control leaf rust in wheat. New sources of resistance genes need to be identified due to the threat of new Pt races to durum wheat production. Marker assisted selection (MAS) is a highly efficient method to select resistance genes in breeding programs particularly to pyramid multiple resistance genes in new varieties. The objective of this study was to characterize and map leaf rust resistance genes in a Canadian durum wheat Strongfield. A double haploid (DH) mapping population of 87 DH lines was developed from the cross Strongfield/Blackbird. Seedling rust tests with Pt isolates 12-3 MBDS, 06-1-1 TDBG, 128-1 MBRJ, 74-2 MGBJ, and 77-2 TJBJ revealed a single hypersensitive leaf rust resistance gene. Three genes segregated for resistance to isolate 1-1 BBBD at the seedling stage, one of which controlled resistance to the other five Pt isolates. Blackbird contributed one of the seedling resistance genes effective against isolate 1-1 BBBD. Parental lines and 87 DH lines were genotyped using the Illumina Infinium assay with the iSelect 90K wheat SNP array. A database search using the DNA sequences of linked markers provided a putative location in the Chinese Spring reference genome sequence. The gene conferring resistance to the six isolates used in the study mapped to the long arm of chromosome 3A and was temporarily designated as LrStr_3A. No leaf rust resistance gene has been detected in this region previously. Quantitative trait locus (QTL) analysis identified eight QTL controlling leaf rust resistance in field leaf rust nurseries. One of these QTL mapped to chromosome 3AL as the same region of LrStr_3A. Another QTL mapped to the expected location of the adult plant resistance (APR) gene Lr46 based upon the marker csLV46G22. Kompetitive allele-specific PCR (KASP) markers were developed for LrStr_3A that will be useful for MAS.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.374

Distilled classifier scores by category (both heads)

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

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 head0.011
GPT teacher head0.212
Teacher spread0.202 · 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 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
Published2019
Admission routes2
Has abstractyes

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