Evidence map›Paper›PMID 41225876›Full record

ArticlePlants (Basel, Switzerland)2025

Quinolizidine Alkaloid Composition of White Lupin Landraces and Breeding Lines, and Near-Infrared Spectroscopy-Based Discrimination of Low-Alkaloid Material.

Stefania Barzaghi, Barbara Ferrari, Elisa Biazzi, Aldo Tava, Paolo Annicchiarico

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Classification ofFrontiers in artificial intelligence · 2026
    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

5 authors.

Stefania BarzaghiCouncil for Agricultural Research and Economics, Research Centre for Animal Production and Aquaculture, 26900 Lodi, Italy.ORCID 0000-0002-5499-2178
Barbara FerrariCouncil for Agricultural Research and Economics, Research Centre for Animal Production and Aquaculture, 26900 Lodi, Italy.
Elisa BiazziCouncil for Agricultural Research and Economics, Research Centre for Animal Production and Aquaculture, 26900 Lodi, Italy.ORCID 0000-0002-1348-8709
Aldo TavaCouncil for Agricultural Research and Economics, Research Centre for Animal Production and Aquaculture, 26900 Lodi, Italy.ORCID 0000-0003-4657-4053
Paolo AnnicchiaricoCouncil for Agricultural Research and Economics, Research Centre for Animal Production and Aquaculture, 26900 Lodi, Italy.ORCID 0000-0001-8027-1035

Funding

European Commission 101000383European Commission 727230Ministry of Agricultural, Food and Forestry Policies RGV/FAO
6 · The paper itself

Abstract

White lupin improvement is challenged by the need to select for low seed content of total quinolizidine alkaloids (QAs) when crossing low-alkaloid (sweet-seed) with bitter-seed (landrace) material. This study, which focused on 45 international landraces and 142 broadly sweet-seed breeding lines, aimed at (a) assessing the ability of Near-Infrared Spectroscopy (NIRS) to distinguish broadly sweet-seed from bitter-seed material and, possibly, lines with particularly low QA content within broadly sweet-seed material; and (b) comparing landrace and breeding material in terms of the composition and amount of QA compounds. QA content was analyzed using a gas chromatography-mass spectrometry method. NIRS analyses were performed either on whole-seed samples or ground samples. The range of variation for total QA was 95-990 mg/kg among breeding lines and 14,041-37,321 among landraces. NIRS was able to discriminate broadly sweet-seed from bitter-seed material when using flour samples, non-destructive 10-seed samples, and even individual whole seeds (with <1% misclassification). It was unable to identify material with particularly low QA content. Landrace and breeding line germplasm differed in the proportions of individual QAs. Patterns of geographical variation for total QA content of landraces were identified. Our results can contribute to define an efficient NIRS-based pipeline to select for low total QA content.

Indexed as

discriminant analysisgenetic resourceslandracesLupinus albusNIRSnon-destructive sampleseed quality

Identifiers

PMID41225876
PMCPMC12608174

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.