The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach
Authors
Đalović, IvicaMitrović, Petar
Trivan, Goran
Jelušić, Aleksandra
Pezo, Lato
Janić Hajnal, Elizabet
Popović Milovanović, Tatjana
Article (Published version)
Metadata
Show full item recordAbstract
Infections with phytoplasma present one of the most significant biotic stresses influencing plant health, growth, and production. The phytoplasma ‘Candidatus Phytoplasma solani’ infects a variety of plant species. This pathogen impacts the physiological and morphological characteristics of plants causing stunting, yellowing, leaf curling, and other symptoms that can lead to significant economic losses. The aim of this study was to determine biochemical changes in peony (Paeonia tenuifolia L.), mint (Mentha × piperita L.), and dill (Anethum graveolens L.) induced by ‘Ca. Phytoplasma solani’ in Serbia as well as to predict the impact of the biotic stress using artificial neural network (ANN) modeling. The phylogenetic position of the Serbian ‘Ca. Phytoplasma solani’ strains originated from the tested hosts using 16S rRNA (peony and carrot strains) and plsC (mint and dill strains) sequences indicated by their genetic homogeneity despite the host of origin. Biochemical parameters significa...ntly differed in asymptomatic and symptomatic plants, except for total anthocyanidins contents in dill and the capacity of peony and mint extracts to neutralize superoxide anions and hydroxyl radicals, respectively. Principal Component Analysis (PCA) showed a correlation between different chemical parameters and revealed a clear separation among the samples. Based on the ANN performance, the optimal number of hidden neurons for the calculation of TS, RG, PAL, LP, NBT, •OH, TP, TT, Tflav, Tpro, Tant, DPPH, and Car was nine (using MLP 8-9-13), as it produced high r2 values (1.000 during the training period) and low SOS values. Developing an effective early warning system for the detection of plant diseases in different plant species is critical for improving crop yield and quality.
Keywords:
‘Candidatus Phytoplasma solani’ / peony / mint / dill / carrot / biotic stressSource:
Horticulturae, 2024, 10, 5, 426-Publisher:
- Basel : MDPI
Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200032 (Institute of Field and Vegetable Crops, Novi Sad) (RS-MESTD-inst-2020-200032)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200053 (University of Belgrade, Institute for Multidisciplinary Research) (RS-MESTD-inst-2020-200053)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200051 (Institute of General and Physical Chemistry, Belgrade) (RS-MESTD-inst-2020-200051)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200222 (Institute for Food Technology, Novi Sad) (RS-MESTD-inst-2020-200222)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200010 (Institute for Plant Protection and Environment, Belgrade) (RS-MESTD-inst-2020-200010)
Collections
Institution/Community
FiVeRTY - JOUR AU - Đalović, Ivica AU - Mitrović, Petar AU - Trivan, Goran AU - Jelušić, Aleksandra AU - Pezo, Lato AU - Janić Hajnal, Elizabet AU - Popović Milovanović, Tatjana PY - 2024 UR - http://fiver.ifvcns.rs/handle/123456789/4548 AB - Infections with phytoplasma present one of the most significant biotic stresses influencing plant health, growth, and production. The phytoplasma ‘Candidatus Phytoplasma solani’ infects a variety of plant species. This pathogen impacts the physiological and morphological characteristics of plants causing stunting, yellowing, leaf curling, and other symptoms that can lead to significant economic losses. The aim of this study was to determine biochemical changes in peony (Paeonia tenuifolia L.), mint (Mentha × piperita L.), and dill (Anethum graveolens L.) induced by ‘Ca. Phytoplasma solani’ in Serbia as well as to predict the impact of the biotic stress using artificial neural network (ANN) modeling. The phylogenetic position of the Serbian ‘Ca. Phytoplasma solani’ strains originated from the tested hosts using 16S rRNA (peony and carrot strains) and plsC (mint and dill strains) sequences indicated by their genetic homogeneity despite the host of origin. Biochemical parameters significantly differed in asymptomatic and symptomatic plants, except for total anthocyanidins contents in dill and the capacity of peony and mint extracts to neutralize superoxide anions and hydroxyl radicals, respectively. Principal Component Analysis (PCA) showed a correlation between different chemical parameters and revealed a clear separation among the samples. Based on the ANN performance, the optimal number of hidden neurons for the calculation of TS, RG, PAL, LP, NBT, •OH, TP, TT, Tflav, Tpro, Tant, DPPH, and Car was nine (using MLP 8-9-13), as it produced high r2 values (1.000 during the training period) and low SOS values. Developing an effective early warning system for the detection of plant diseases in different plant species is critical for improving crop yield and quality. PB - Basel : MDPI T2 - Horticulturae T1 - The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach IS - 5 SP - 426 VL - 10 DO - 10.3390/horticulturae10050426 ER -
@article{ author = "Đalović, Ivica and Mitrović, Petar and Trivan, Goran and Jelušić, Aleksandra and Pezo, Lato and Janić Hajnal, Elizabet and Popović Milovanović, Tatjana", year = "2024", abstract = "Infections with phytoplasma present one of the most significant biotic stresses influencing plant health, growth, and production. The phytoplasma ‘Candidatus Phytoplasma solani’ infects a variety of plant species. This pathogen impacts the physiological and morphological characteristics of plants causing stunting, yellowing, leaf curling, and other symptoms that can lead to significant economic losses. The aim of this study was to determine biochemical changes in peony (Paeonia tenuifolia L.), mint (Mentha × piperita L.), and dill (Anethum graveolens L.) induced by ‘Ca. Phytoplasma solani’ in Serbia as well as to predict the impact of the biotic stress using artificial neural network (ANN) modeling. The phylogenetic position of the Serbian ‘Ca. Phytoplasma solani’ strains originated from the tested hosts using 16S rRNA (peony and carrot strains) and plsC (mint and dill strains) sequences indicated by their genetic homogeneity despite the host of origin. Biochemical parameters significantly differed in asymptomatic and symptomatic plants, except for total anthocyanidins contents in dill and the capacity of peony and mint extracts to neutralize superoxide anions and hydroxyl radicals, respectively. Principal Component Analysis (PCA) showed a correlation between different chemical parameters and revealed a clear separation among the samples. Based on the ANN performance, the optimal number of hidden neurons for the calculation of TS, RG, PAL, LP, NBT, •OH, TP, TT, Tflav, Tpro, Tant, DPPH, and Car was nine (using MLP 8-9-13), as it produced high r2 values (1.000 during the training period) and low SOS values. Developing an effective early warning system for the detection of plant diseases in different plant species is critical for improving crop yield and quality.", publisher = "Basel : MDPI", journal = "Horticulturae", title = "The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach", number = "5", pages = "426", volume = "10", doi = "10.3390/horticulturae10050426" }
Đalović, I., Mitrović, P., Trivan, G., Jelušić, A., Pezo, L., Janić Hajnal, E.,& Popović Milovanović, T.. (2024). The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach. in Horticulturae Basel : MDPI., 10(5), 426. https://doi.org/10.3390/horticulturae10050426
Đalović I, Mitrović P, Trivan G, Jelušić A, Pezo L, Janić Hajnal E, Popović Milovanović T. The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach. in Horticulturae. 2024;10(5):426. doi:10.3390/horticulturae10050426 .
Đalović, Ivica, Mitrović, Petar, Trivan, Goran, Jelušić, Aleksandra, Pezo, Lato, Janić Hajnal, Elizabet, Popović Milovanović, Tatjana, "The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach" in Horticulturae, 10, no. 5 (2024):426, https://doi.org/10.3390/horticulturae10050426 . .