Evidence map›Paper›PMID 38927730›Full record

ArticleGenes2024

Assessing Falling Number Stability Increases the Genomic Prediction Ability of Pre-Harvest Sprouting Resistance in Common Winter Wheat.

Theresa Albrecht, Michael Oberforster, Lorenz Hartl, Volker Mohler

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Evaluating reaction norm and fixed effect models for genomic selection of end-use quality in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Theresa AlbrechtBavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, 85354 Freising, Germany.
Michael OberforsterAustrian Agency for Health and Food Safety (AGES), Institute for Sustainable Plant Production, Spargelfeldstr. 191, 1220 Vienna, Austria.
Lorenz HartlBavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, 85354 Freising, Germany.ORCID 0000-0003-1448-3616
Volker MohlerBavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, 85354 Freising, Germany.ORCID 0000-0001-5835-0925

Funding

Arbeitsgemeinschaft industrieller Forschungsvereinigungen 123 EN/1Austrian Research Promotion Agency 844040
6 · The paper itself

Abstract

Pre-harvest sprouting (PHS) resistance is a complex trait, and many genes influencing the germination process of winter wheat have already been described. In the light of interannual climate variation, breeding for PHS resistance will remain mandatory for wheat breeders. Several tests and traits are used to assess PHS resistance, i.e., sprouting scores, germination index, and falling number (FN), but the variation of these traits is highly dependent on the weather conditions during field trials. Here, we present a method to assess falling number stability (FNS) employing an after-ripening period and the wetting of the kernels to improve trait variation and thus trait heritability. Different genome-based prediction scenarios within and across two subsequent seasons based on overall 400 breeding lines were applied to assess the predictive abilities of the different traits. Based on FNS, the genome-based prediction of the breeding values of wheat breeding material showed higher correlations across seasons (r=0.505-0.548) compared to those obtained for other traits for PHS assessment (r=0.216-0.501). By weighting PHS-associated quantitative trait loci (QTL) in the prediction model, the average predictive abilities for FNS increased from 0.585 to 0.648 within the season 2014/2015 and from 0.649 to 0.714 within the season 2015/2016. We found that markers in the

Indexed as

GerminationPlant BreedingQuantitative Trait LociTriticumGenome, PlantGenomicsPhenotypeSeasonsgenomic selectiongermination indexQTLseed dormancyTriticum aestivum

Identifiers

PMID38927730
PMCPMC11202678

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.