Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh Cuttings and Its Modeling with Artificial Neural Networks
This study aimed to evaluate the rooting success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh cuttings in three different rooting media: 100% peat, 100% perlite, and a 50% peat–50% perlite mixture. Additionally, three concentrations of Indole Butyric Acid (IBA)—1000...
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2025-05-01
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| Series: | Horticulturae |
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| author | Türker Oğuztürk Cem Alparslan Yusuf Aydın Umut Öztatar Gülcay Ercan Oğuztürk |
| author_facet | Türker Oğuztürk Cem Alparslan Yusuf Aydın Umut Öztatar Gülcay Ercan Oğuztürk |
| author_sort | Türker Oğuztürk |
| collection | DOAJ |
| description | This study aimed to evaluate the rooting success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh cuttings in three different rooting media: 100% peat, 100% perlite, and a 50% peat–50% perlite mixture. Additionally, three concentrations of Indole Butyric Acid (IBA)—1000 ppm, 3000 ppm, and 6000 ppm—were tested, along with a control group consisting of non-hormone-treated cuttings. The chlorophyll content of the leaves was measured in µmol/m<sup>2</sup>, and its relationship with rooting success was examined. Measurements were conducted every 15 days over a 120-day period. The collected data were analyzed using both an artificial neural network (ANN) and SPSS 29.0.2 statistical software. Results indicated that perlite medium yielded the highest rooting rate and chlorophyll concentration, whereas the peat medium performed the poorest. While 1000 ppm IBA led to the greatest improvement in rooting rate, 6000 ppm resulted in the highest chlorophyll concentration. The highest chlorophyll levels were observed during measurement periods M7, M8, and M9. Analyses of peat moisture and pH indicated that the physicochemical properties of the rooting media significantly influenced cutting development. This study aims to support the identification of optimal propagation methods for this species and to contribute to the literature by developing an ANN model based on the measured parameters. |
| format | Article |
| id | doaj-art-249a4dd22a5e4e88ad97808f73ab0d08 |
| institution | Kabale University |
| issn | 2311-7524 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Horticulturae |
| spelling | doaj-art-249a4dd22a5e4e88ad97808f73ab0d082025-08-20T03:27:07ZengMDPI AGHorticulturae2311-75242025-05-0111656410.3390/horticulturae11060564Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh Cuttings and Its Modeling with Artificial Neural NetworksTürker Oğuztürk0Cem Alparslan1Yusuf Aydın2Umut Öztatar3Gülcay Ercan Oğuztürk4Department of Landscape Architecture, Recep Tayyip Erdoğan University, Rize 53020, TürkiyeDepartment of Mechanical Engineering, Recep Tayyip Erdoğan University, Rize 53020, TürkiyeDepartment of Landscape Architecture, Recep Tayyip Erdoğan University, Rize 53020, TürkiyeDepartment of Landscape Architecture, Recep Tayyip Erdoğan University, Rize 53020, TürkiyeDepartment of Landscape Architecture, Recep Tayyip Erdoğan University, Rize 53020, TürkiyeThis study aimed to evaluate the rooting success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh cuttings in three different rooting media: 100% peat, 100% perlite, and a 50% peat–50% perlite mixture. Additionally, three concentrations of Indole Butyric Acid (IBA)—1000 ppm, 3000 ppm, and 6000 ppm—were tested, along with a control group consisting of non-hormone-treated cuttings. The chlorophyll content of the leaves was measured in µmol/m<sup>2</sup>, and its relationship with rooting success was examined. Measurements were conducted every 15 days over a 120-day period. The collected data were analyzed using both an artificial neural network (ANN) and SPSS 29.0.2 statistical software. Results indicated that perlite medium yielded the highest rooting rate and chlorophyll concentration, whereas the peat medium performed the poorest. While 1000 ppm IBA led to the greatest improvement in rooting rate, 6000 ppm resulted in the highest chlorophyll concentration. The highest chlorophyll levels were observed during measurement periods M7, M8, and M9. Analyses of peat moisture and pH indicated that the physicochemical properties of the rooting media significantly influenced cutting development. This study aims to support the identification of optimal propagation methods for this species and to contribute to the literature by developing an ANN model based on the measured parameters.https://www.mdpi.com/2311-7524/11/6/564ANNchlorophyllindole butyric acid<i>Loropetalum chinense</i>rooting medium |
| spellingShingle | Türker Oğuztürk Cem Alparslan Yusuf Aydın Umut Öztatar Gülcay Ercan Oğuztürk Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh Cuttings and Its Modeling with Artificial Neural Networks Horticulturae ANN chlorophyll indole butyric acid <i>Loropetalum chinense</i> rooting medium |
| title | Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh Cuttings and Its Modeling with Artificial Neural Networks |
| title_full | Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh Cuttings and Its Modeling with Artificial Neural Networks |
| title_fullStr | Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh Cuttings and Its Modeling with Artificial Neural Networks |
| title_full_unstemmed | Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh Cuttings and Its Modeling with Artificial Neural Networks |
| title_short | Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of <i>Loropetalum chinense</i> var. <i>rubrum</i> Yieh Cuttings and Its Modeling with Artificial Neural Networks |
| title_sort | effect of different indole butyric acid iba concentrations in various rooting media on the rooting success of i loropetalum chinense i var i rubrum i yieh cuttings and its modeling with artificial neural networks |
| topic | ANN chlorophyll indole butyric acid <i>Loropetalum chinense</i> rooting medium |
| url | https://www.mdpi.com/2311-7524/11/6/564 |
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