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Determination of the effect of GA3 applications on plant development, nutrient content change and analysis of root architectural features using ML artificial neural network modelling in Tulipa saxatilis Cover

Determination of the effect of GA3 applications on plant development, nutrient content change and analysis of root architectural features using ML artificial neural network modelling in Tulipa saxatilis

By: Ömer Sari  
Open Access
|Oct 2024

Figures & Tables

Figure 1.

Measurement of tulips’ roots with 3D scanning WhinRhizo program (a: control, b: 100 ppm, c: 200 ppm and d: 400 ppm).
Measurement of tulips’ roots with 3D scanning WhinRhizo program (a: control, b: 100 ppm, c: 200 ppm and d: 400 ppm).

Figure 2.

The MLP structure with 7 inputs, 4 outputs, and 10 hidden neurons.
The MLP structure with 7 inputs, 4 outputs, and 10 hidden neurons.

Figure 3.

Change rate of plant upper part characteristics compared to control values after GA3 applications. GA3: gibberellic acid.
Change rate of plant upper part characteristics compared to control values after GA3 applications. GA3: gibberellic acid.

Figure 4.

Change rate of bulb properties compared to control values after GA3 applications. GA3: gibberellic acid.
Change rate of bulb properties compared to control values after GA3 applications. GA3: gibberellic acid.

Figure 5.

Change rate of vase life compared to control values after GA3 applications. GA3: gibberellic acid.
Change rate of vase life compared to control values after GA3 applications. GA3: gibberellic acid.

Figure 6.

Change rate of bulb nutrient content compared to control values after GA3 applications. GA3: gibberellic acid.
Change rate of bulb nutrient content compared to control values after GA3 applications. GA3: gibberellic acid.

Figure 7.

The rate of change of root architectural features compared to the control values of the analysis results after GA3 applications. GA3: gibberellic acid.
The rate of change of root architectural features compared to the control values of the analysis results after GA3 applications. GA3: gibberellic acid.

Figure 8.

DT obtained by J.48 Method. DT, decision tree.
DT obtained by J.48 Method. DT, decision tree.

Prediction performance of ML models representing the relationship between GA3 variables and the change of root architectural features of T_ saxatilis_

ClassifiersAccuracy (%)KappaTPFPPrecisionRecallF-score
MultilayerPerceptron85.90.810.860.040.880.860.86
Baggin74.20.650.740.080.750.740.74
J4885.70.800.860.050.870.860.86
PART80.00.730.800.060.820.800.80
LR94.30.920.940.010.940.940.94
MCC88.60.850.870.040.900.890.88

Correlations between vegetative, root architectural properties and bulb nutritional content_

Flower stem length (cm)Number of floverFlower stem diameter (mm)Perianth length (cm)Number of leavesLeaflength (cm)Leaf width (cm)Mother bulb diameter (mm)Number of bulbletBulblet diameter (mm)Bulblet weight (g)N (%)P (%)K (%)Ca (%)Mg (%)Fe (mg · kg−1)Cu (mg · kg−1)Zn (mg · kg−1)Mn (mg · kg−1)Root length (cm)Root surface area (cm2)Root diameter (mm)Root volume (cm3)Number of tipsNumber of forksNumber of crossings
Plant height (cm)0.996**–0.994**–0.9190.603–0.952*0.992**0.978*0.4500.740–0.2420.2360.262–0.991**–0.7250.1920.4010.324–0.1860.165–0.664 0.277–0.295–0.1800.4520.123–0.4890.058–0.614
Flower stem length (cm) –0.998**–0.9310.543–0.955*0.979*0.982*0.3720.678–0.2100.2340.305–0.975*–0.6840.2670.3560.408–0.1600.198–0.729 0.283–0.277–0.2150.3830.039–0.4930.033–0.671
Number of hovers 0.908–0.5120.971*–0.973*–0.969*–0.351–0.6670.264–0.292–0.3550.972*0.715–0.238–0.402–0.4120.216–0.1440.734 -0.2250.2200.161–0.351–0.0600.440–0.0900.644
Flower stem diameter –0.6170.784–0.917–0.981*–0.372–0.612–0.1580.127–0.0340.8950.400–0.504–0.008–0.442–0.211–0.5400.712 -0.6060.5690.553–0.4560.1800.7680.3330.837
Perianth length (cm) –0.3800.6950.6290.9480.9270.090–0.32–0.560–0.689–0.431–0.1590.151–0.4270.1850.3220.107 0.594–0.756–0.3100.982*0.468–0.684–0.272–0.182
Number of leaves –0.917–0.881–0.274–0.6140.473–0.512–0.5330.9280.820–0.096–0.578–0.3990.4350.0850.715 0.014–0.011–0.066–0.228–0.1570.213–0.3190.503
Leaf length (cm) 0.974*0.5530.811–0.2140.1710.155–0.998**–0.7260.1390.3940.220–0.1490.188–0.578 0.331–0.374–0.1990.5580.192–0.5370.021–0.573
Leaf width (cm) 0.4250.693–0.0340.0450.140–0.962*–0.5690.3570.2020.3860.0220.368–0.697 0.459–0.451–0.3820.471–0.029–0.650–0.149–0.742
Mother bulb weight (g) 0.927–0.117–0.182–0.546–0.562–0.513–0.4630.339–0.666–0.0240.0450.351 0.354–0.573–0.0290.978*0.715–0.431–0.0420.135
Mother bulb diameter (mm) –0.2780.047–0.242–0.823–0.738–0.3400.501–0.390–0.1860.0070.009 0.288–0.468–0.0010.8930.646–0.4400.087–0.087
Number of bulblet –0.943–0.6530.2660.8140.701–0.971*0.1860.995**0.917–0.014 0.829–0.718–0.9100.083–0.680–0.694–0.979*–0.478
Bulblet diameter (mm) 0.866–0.216–0.705–0.4570.8610.128–0.964*–0.854–0.233 -0.8660.8400.839–0.3620.3980.7300.951*0.294
Bulblet weight (g) –0.179–0.4390.0370.5260.598–0.702–0.539–0.608 -0.6880.7930.514–0.654–0.1090.5640.685–0.108
N (%) 0.763–0.090–0.444–0.1960.201–0.1340.559 -0.2840.3350.145–0.555–0.2350.494–0.0730.532
p (%) 0.491–0.9180.1280.7640.5340.216 0.353–0.221–0.526–0.374–0.678–0.147–0.679–0.071
K(%) –0.7200.8230.6730.806–0.707 0.603–0.380–0.821–0.289–0.937–0.591–0.703–0.891
Ca (%) –0.269–0.944–0.8250.018 -0.6750.5300.8210.1500.7760.5160.9040.412
Mg (%) 0.1380.344–0.921 0.1000.136–0.370–0.588–0.806–0.165–0.174–0.786
Fe (mg · kg−1) 0.9330.002 0.874–0.781–0.9250.177–0.623–0.748–0.992**–0.484
Cu(mg·kg−1) –0.305 0.950–0.840–1.000**0.250–0.657–0.901–0.969*–0.749
Zn (mg · kg−1) –0.157–0.0210.3320.2950.5700.2990.0780.854
Mn (mg·kg−1) –0.966*–0.9440.539–0.390–0.973*–0.925–0.645
Root length (cm) 0.828–0.7300.1430.9480.8360.479
Root surface area (cm2) –0.2330.6720.8990.963*0.767
Root diameter (mm) 0.560–0.599–0.246–0.011
Root volume (cm3) 0.3220.6100.689
Number of tips 0.8250.730
Number of forks 0.567
Number of crossings
DOI: https://doi.org/10.2478/fhort-2024-0024 | Journal eISSN: 2083-5965 | Journal ISSN: 0867-1761
Language: English
Page range: 381 - 398
Submitted on: May 7, 2024
Accepted on: Aug 26, 2024
Published on: Oct 9, 2024
Published by: Polish Society for Horticultural Sciences (PSHS)
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Ömer Sari, published by Polish Society for Horticultural Sciences (PSHS)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.