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Record W1983418674 · doi:10.2135/cropsci2001.413611x

Host Plant Resistance Genes for Fusarium Head Blight: Mapping and Manipulation with Molecular Markers

2001· article· en· W1983418674 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCrop Science · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyQuantitative trait locusFusariumGeneticsHordeum vulgareGibberella zeaeCultivarMolecular markerGeneChemotypePlant disease resistancePoaceaeAgronomyBotany

Abstract

fetched live from OpenAlex

Fusarium head blight (FHB), caused by Fusarium graminearum Schwabe [teleomorph Gibberella zeae (Schwein.)], or scab, causes severe reductions in yield and quality of wheat ( Triticum aestivum L.) and barley ( Hordeum vulgare L.). Evaluation of FHB resistance is laborious and subject to environmental influence; therefore, molecular markers for FHB resistance genes will greatly enhance selection for FHB resistance. This review seeks to summarize information on molecular markers associated with quantitative trait loci (QTL) for resistance to FHB in wheat and barley and the use of those markers for marker assisted selection. Our goal is to summarize the current state of knowledge on the genetics of FHB resistance, the map locations of QTL for FHB resistance, and the future directions and potential applications of this research. In wheat, five types of resistance have been described, and Type II resistance (expressed in Chinese wheat cultivar Sumai 3) is the easiest type to assess. Several research groups are developing molecular markers associated with genes for FHB resistance from Sumai 3, a widely used source of Type II resistance in wheat breeding programs worldwide. In four different populations, each having Sumai 3 or a derivative as one parent, one to four QTL have been identified that explain up to 63% of the variation in resistance. QTL were identified on chromosomes 3BS and 6BL in three or more populations. Recently, in barley, restriction fragment length polymorphism (RFLP) markers associated with genes for FHB resistance, deoxynivalenol (DON) accumulation, and kernel discoloration were identified on all seven chromosomes. Three regions, located on chromosomes 2, 3, and 5 were identified in several mapping populations. Comparing the QTL locations between wheat and barley shows that the barley chromosome 3 QTL is located in a syntenous region in wheat. The following areas of research on molecular markers associated with FHB resistance should be emphasized: (i) identifying and mapping better resistance sources in wheat and barley; (ii) validating QTL in additional populations; and (iii) developing markers that can be easily used in breeding programs and across populations.

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.

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)0.000
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 score0.892
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.219
Teacher spread0.195 · 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