Evidence map›Paper›PMID 41820228›Full record

ArticleJournal of the science of food and agriculture2026

Soybean seed coat properties as determinants of natto and sprout quality.

Mehri Hadinezhad, Simon Lackey, Keith Hubbard, Makayla Giles, Elroy R Cober

Abstract read
In one paragraph

Article in Journal of the science of food and agriculture, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mehri HadinezhadOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-5704-1570
Simon LackeyOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada.
Keith HubbardOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada.
Makayla GilesOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada.
Elroy R CoberOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada.

Funding

Agriculture and Agri-Food CanadaEastern Canada Oilseeds Development Alliance J-003560
6 · The paper itself

Abstract

backgroundImproving breeding efficiency for superior soybean (Glycine max (L.) Merr.) germplasm used in natto and sprouts requires understanding how seed coat properties relate to quality and functional traits.

methodsWe measured seed weight, water uptake, and sprout length and thickness across various genotypes tested at different locations and years. For the 2023-2024 set, we also analyzed fresh sprout weight and the percentage of good sprouts. Seed coat percentage was determined as the seed coat weight relative to the total seed weight. Additionally, we established a robust and reproducible method using scanning electron microscopy (SEM) to directly measure seed coat thickness.

resultsGenotype was the dominant factor influencing nearly all traits, while location, year, and genotype × environment interactions were negligible - except for sprout length in one dataset. Seed coat percentage was unrelated to water uptake but inversely correlated with seed size, and did not consistently predict sprout thickness or length. Importantly, this study is the first to directly measure seed coat thickness and demonstrate its association with water uptake, offering a practical selection criterion for breeding programs targeting natto and sprout quality. SEM imaging further enables detailed analysis of seed coat layers and structural features, opening new opportunities for trait characterization.

conclusionBy introducing a direct, scalable approach to quantify seed coat traits, this work provides a foundation for more precise breeding strategies and highlights the role of structural seed attributes in improving specialty soybean products. Future research could integrate seed coat thickness into genomic selection models to accelerate breeding progress. © 2026 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Glycine maxSeedsGenotypeMicroscopy, Electron, ScanningPhenotypePlant BreedingSeedlingsWaterWaternatto and sprout qualityscanning electron microscopy (SEM)seed coat thicknesssoybean breeding

Identifiers

PMID41820228
PMCPMC13157243

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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.