Paper · 2025 · BMC Plant Biology

Quantum machine learning driven optimization of nutrient-hormone interactions for enhanced in vitro regeneration of common bean

Ramazan Katırcı; Muhammad Aasim; Farhan Aadil; et al.

8
claims
16
verbatim quotes
3
citations
3
research areas
✓
Open access · cc-by-nc-nd

Abstract

Common bean (Phaseoulus vulgarsis) is an important edible legume crop, but its improvement through modern biotechnological tools has been limited due to the lack of efficient and reproducible in vitro regeneration protocols. This bottleneck restricts the application of biotechnological applications like genetic transformation, genome editing, and crop improvement. To address the challenges, an experiment was designed to investigate the combined effect of KNO3 with Indole Butyric acid (IBA) and naphthalene acetic acid (NAA) on shoot proliferation using two different explants, followed by optimizing the results with quantum machine learning (QML) analysis. Results demonstrated enhanced shoot proliferation with increased KNO3 levels (5700 mg/L), with a shoot count of 6.44 from the shoot meristem explant in the presence of NAA. Whereas lower KNO3 concentration enlarged the shoot length. Results also revealed the impact of auxin-explant interaction, highlighting the significance of a tailored medium for in vitro regeneration. To strengthen prediction and optimization, classical and quantum machine learning (ML) algorithms were also used. A custom quantum circuit, utilizing RX, RZ, and Hadamard gates, was introduced to enhance classification accuracy using quantum superposition and entanglement principles. Results demonstrated the superior performance of a custom quantum circuit with an accuracy and F1 score of 83% and 84% respectively, for shoot counts. Whereas comparable performance was observed for shoot length classification. This hybrid computational approach not only reduced experimental uncertainty but also increased the nutrient-hormone optimization. These findings demonstrate the potential of hybrid quantum-classical approaches in plant biotechnology. The optimized in vitro system can facilitate downstream applications in plant biotechnology for breeding of legumes and other crops.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by-nc-nd. 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 8

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Increased KNO3 at 5700 mg/L with NAA enhanced shoot proliferation to a shoot count of 6.44 from shoot meristem explants.

Taxon
common beanPhaseolus vulgarist0
Organ / stage
shoot meristem explante0
Treatment
increased KNO3 levels (5700 mg/L)e0
Outcome
shoot counte0
Direction
enhancede0
Value
6.44e0
Qualifier
in the presence of NAAe0

Not reportedComparator

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

Phaseolus vulgaris
Phaseolus vulgaris · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Results demonstrated enhanced shoot proliferation with increased KNO3 levels (5700 mg/L), with a shoot count of 6.44 from the shoot meristem explant in the presence of NAA.”

✓ located verbatim in the source · abstract, characters 663–835 · show in text ↑
t0

“common bean”

✓ located verbatim in the source · title, characters 116–127 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Lower KNO3 concentration enlarged shoot length.

Taxon
common beanPhaseolus vulgarist0
Treatment
lower KNO3 concentratione0
Outcome
shoot lengthe0
Direction
enlargede0

Not reportedComparator

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

Phaseolus vulgaris
Phaseolus vulgaris · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Whereas lower KNO3 concentration enlarged the shoot length.”

✓ located verbatim in the source · abstract, characters 836–895 · show in text ↑
t0

“common bean”

✓ located verbatim in the source · title, characters 116–127 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Auxin and explant interaction affected in vitro regeneration.

Taxon
common beanPhaseolus vulgarist0
Treatment
auxin-explant interactione0
Outcome
in vitro regeneratione0

Not reportedDirection

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

Phaseolus vulgaris
Phaseolus vulgaris · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Results also revealed the impact of auxin-explant interaction, highlighting the significance of a tailored medium for in vitro regeneration.”

✓ located verbatim in the source · abstract, characters 896–1036 · show in text ↑
t0

“common bean”

✓ located verbatim in the source · title, characters 116–127 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The custom quantum circuit had 83% accuracy for shoot count classification.

Taxon
common beanPhaseolus vulgarist0
Outcome
accuracye0
Direction
superiore0
Value
83%e0
Qualifier
for shoot countse0

Not reportedComparator

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

Phaseolus vulgaris
Phaseolus vulgaris · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Results demonstrated the superior performance of a custom quantum circuit with an accuracy and F1 score of 83% and 84% respectively, for shoot counts.”

✓ located verbatim in the source · abstract, characters 1322–1472 · show in text ↑
t0

“common bean”

✓ located verbatim in the source · title, characters 116–127 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The custom quantum circuit had 84% F1 score for shoot count classification.

Taxon
common beanPhaseolus vulgarist0
Outcome
F1 scoree0
Direction
superiore0
Value
84%e0
Qualifier
for shoot countse0

Not reportedComparator

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

Phaseolus vulgaris
Phaseolus vulgaris · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Results demonstrated the superior performance of a custom quantum circuit with an accuracy and F1 score of 83% and 84% respectively, for shoot counts.”

✓ located verbatim in the source · abstract, characters 1322–1472 · show in text ↑
t0

“common bean”

✓ located verbatim in the source · title, characters 116–127 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Shoot length classification showed comparable performance.

Taxon
common beanPhaseolus vulgarist0
Outcome
shoot length classificatione0
Direction
comparablee0
Comparator
comparable performancee0

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

Phaseolus vulgaris
Phaseolus vulgaris · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Whereas comparable performance was observed for shoot length classification.”

✓ located verbatim in the source · abstract, characters 1473–1549 · show in text ↑
t0

“common bean”

✓ located verbatim in the source · title, characters 116–127 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The hybrid computational approach reduced experimental uncertainty.

Taxon
common beanPhaseolus vulgarist0
Outcome
experimental uncertaintye0
Direction
reducede0

Not reportedComparatorValue

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

Phaseolus vulgaris
Phaseolus vulgaris · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“This hybrid computational approach not only reduced experimental uncertainty but also increased the nutrient-hormone optimization.”

✓ located verbatim in the source · abstract, characters 1550–1680 · show in text ↑
t0

“common bean”

✓ located verbatim in the source · title, characters 116–127 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The hybrid computational approach increased nutrient-hormone optimization.

Taxon
common beanPhaseolus vulgarist0
Outcome
nutrient-hormone optimizatione0
Direction
increasede0

Not reportedComparatorValue

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

Phaseolus vulgaris
Phaseolus vulgaris · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“This hybrid computational approach not only reduced experimental uncertainty but also increased the nutrient-hormone optimization.”

✓ located verbatim in the source · abstract, characters 1550–1680 · show in text ↑
t0

“common bean”

✓ located verbatim in the source · title, characters 116–127 · show in text ↑

potassium nitrate · growth · Phaseolus vulgaris (common bean)Positive and negative results

3 papers: 2 positive, 1 negative or no effect

1 paper in the same direction as this paper · 1 in the opposite direction

  1. negative
  2. positive
See all 3 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.