Evidence map›Paper›PMID 42178381›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Evaluation and improvement of two European soybean VCU networks.

Jip J C Ramakers, Waqas A Malik, Kleens Mechtler, Christine Fintz, Cécile Collonnier, François Laurens, Hans-Peter Piepho, Fred A van Eeuwijk

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jip J C RamakersMathematical and Statistical Methods group-Biometris, Wageningen University and Research, Wageningen, the Netherlands. jip.ramakers@wur.nl.
Waqas A MalikBiostatistics Unit, Institute of Crop Science, University of Hohenheim, Stuttgart, Germany.
Kleens MechtlerAustrian Agency for Health and Food Safety (AGES), Vienna, Austria.
Christine FintzVariety Study Department, French Variety and Seed Study and Control Group (GEVES), Beaucouzé, France.
Cécile CollonnierCommunity Plant Varieties Office (CPVO), Angers, France.
François LaurensUniversity of Angers, INRAE, Institut Agro, IRHS, SFR QuaSaV, Angers, France.
Hans-Peter PiephoBiostatistics Unit, Institute of Crop Science, University of Hohenheim, Stuttgart, Germany.
Fred A van EeuwijkMathematical and Statistical Methods group-Biometris, Wageningen University and Research, Wageningen, the Netherlands.

Funding

Horizon 2020 Framework Programme 817970
6 · The paper itself

Abstract

Soybean (Glycine max, (L.) Merr.) productivity gains depend on accurate estimates of genetic trends, genotypic effects (G), and genotype-by-environment interactions (GEI). Here, we compiled a Value for Cultivation and Use (VCU) database of soybean varieties, evaluated from 2003 to 2018 in Austria (AT) and France (FR), to estimate genetic trends, G and GEI magnitudes, and variety-testing precision in grain yield, protein yield and protein content (%), using mixed-model methodology. We found that G and GEI variances were comparable in both countries, with a variety-testing precision, expressed as a relative detection threshold (LSD for elite standards), of about 7.5% for grain yield and protein yield, and about 2% for protein content. Grain yield correlated moderately negatively with protein content at the genotypic level. Despite this, although genetic trends in protein content were non-significant and near-zero (slightly negative in FR), trends in grain yield and protein yield were significant and strongly positive (1.97-2.05% yr

Indexed as

Gene-Environment InteractionGlycine maxPlant BreedingAustriaEdible GrainFranceGenotypePhenotype

Identifiers

PMID42178381
PMCPMC13199210

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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.