Paper · 2025 · The Plant Phenome Journal

Off‐the‐shelf image analysis models outperform human visual assessment in identifying genes controlling seed color variation in sorghum

Nikee Shrestha; Harshita Mangal; J. Vladimir Torres‐Rodriguez; et al.

5
claims
13
verbatim quotes
2
citations
2
research areas
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Open access · cc-by

Abstract

Abstract Seed color is a complex phenotype linked to both the impact of grains on human health and consumer acceptance of new crop varieties. Today, seed color is often quantified via qualitative human assessment or biochemical assays for specific colored metabolites. Imaging‐based approaches have the potential to be more quantitative than human scoring while being lower cost than biochemical assays. We assessed the feasibility of employing image analysis tools trained on rice ( Oryza sativa ) or wheat ( Triticum aestivum ) seeds to quantify seed color in sorghum ( Sorghum bicolor ) using a dataset of 1,500 images. Quantitative measurements of seed color from images were substantially more consistent across biological replicates than human assessment. Genome‐wide association studies conducted using color phenotypes for 682 sorghum genotypes identified more signals near known seed color genes in sorghum with stronger support than manually scored seed color for the same experiment. Previously unreported genomic intervals linked to variation in seed color in our study co‐localized with a gene encoding an enzyme in the biosynthetic pathway leading to anthocyanins, tannins, and phlobaphenes—colored metabolites in sorghum seeds—and with the sorghum ortholog of a transcription factor shown to regulate several enzymes in the same pathway in rice. The cross‐species transferability of image analysis tools, without the retraining, may aid efforts to develop higher value and health‐promoting crop varieties in sorghum and other specialty and orphan grain crops.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 5

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Image-based seed color measurements were more consistent across biological replicates than human assessment.

Taxon
sorghumSorghumt0
Outcome
consistent across biological replicatese1
Direction
moree1
Comparator
human assessmente1

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Sorghum
Sorghum · Taxon · picture of the genus (one of its species)Evelyn Simak · CC BY-SA 2.0 · Wikimedia Commons ↗

Verbatim

t0

“seed color variation in sorghum”

✓ located verbatim in the source · title, characters 104–135 · show in text ↑
e1

“Quantitative measurements of seed color from images were substantially more consistent across biological replicates than human assessment”

✓ located verbatim in the source · abstract, characters 623–760 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Image-based GWAS identified more signals near known seed color genes than manually scored seed color, with stronger support.

Taxon
sorghumSorghumt0
Outcome
signals near known seed color genese2
Qualifier
with stronger supporte2
Comparator
manually scored seed colore2

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Sorghum
Sorghum · Taxon · picture of the genus (one of its species)Evelyn Simak · CC BY-SA 2.0 · Wikimedia Commons ↗

Verbatim

t0

“seed color variation in sorghum”

✓ located verbatim in the source · title, characters 104–135 · show in text ↑
e2

“identified more signals near known seed color genes in sorghum with stronger support than manually scored seed color for the same experiment”

✓ located verbatim in the source · abstract, characters 853–993 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Previously unreported genomic intervals linked to seed color co-localized with a gene encoding an enzyme in the anthocyanin, tannin and phlobaphene biosynthesis pathway.

Taxon
sorghumSorghumt0
Gene
a gene encoding an enzymee4
Compound
anthocyanins, tannins, and phlobaphenese4
Outcome
genomic intervals linked to variation in seed colore3

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Sorghum
Sorghum · Taxon · picture of the genus (one of its species)Evelyn Simak · CC BY-SA 2.0 · Wikimedia Commons ↗

Verbatim

t0

“seed color variation in sorghum”

✓ located verbatim in the source · title, characters 104–135 · show in text ↑
e3

“Previously unreported genomic intervals linked to variation in seed color in our study”

✓ located verbatim in the source · abstract, characters 995–1081 · show in text ↑
e4

“with a gene encoding an enzyme in the biosynthetic pathway leading to anthocyanins, tannins, and phlobaphenes”

✓ located verbatim in the source · abstract, characters 1095–1204 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Previously unreported genomic intervals linked to seed color co-localized with the sorghum ortholog of a transcription factor that regulates pathway enzymes in rice.

Taxon
sorghumSorghumt0
Gene
sorghum ortholog of a transcription factore5
Outcome
genomic intervals linked to variation in seed colore3

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Sorghum
Sorghum · Taxon · picture of the genus (one of its species)Evelyn Simak · CC BY-SA 2.0 · Wikimedia Commons ↗

Verbatim

t0

“seed color variation in sorghum”

✓ located verbatim in the source · title, characters 104–135 · show in text ↑
e3

“Previously unreported genomic intervals linked to variation in seed color in our study”

✓ located verbatim in the source · abstract, characters 995–1081 · show in text ↑
e5

“with the sorghum ortholog of a transcription factor shown to regulate several enzymes in the same pathway in rice”

✓ located verbatim in the source · abstract, characters 1246–1359 · show in text ↑
Method / resourceauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Image analysis tools trained on rice or wheat seeds, used without retraining, may aid efforts to develop higher value sorghum varieties.

Taxon
sorghumSorghumt0
Outcome
efforts to develop higher valuee6
Comparator
trained on rice ( Oryza sativa ) or wheat ( Triticum aestivum ) seedse0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Sorghum
Sorghum · Taxon · picture of the genus (one of its species)Evelyn Simak · CC BY-SA 2.0 · Wikimedia Commons ↗

Verbatim

t0

“seed color variation in sorghum”

✓ located verbatim in the source · title, characters 104–135 · show in text ↑
e0

“image analysis tools trained on rice ( Oryza sativa ) or wheat ( Triticum aestivum ) seeds”

✓ located verbatim in the source · abstract, characters 445–535 · show in text ↑
e6

“image analysis tools, without the retraining, may aid efforts to develop higher value”

✓ located verbatim in the source · abstract, characters 1398–1483 · show in text ↑