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| تعداد مقالات | 3,094 |
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Screening of Superior Phenotypic and Physicochemical Indices of Equisetum arvense L. Using Path Analysis | ||
| Agrotechniques in Industrial Crops | ||
| دوره 5، شماره 3، مهر 2025، صفحه 182-188 اصل مقاله (444.87 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22126/atic.2025.11392.1175 | ||
| نویسندگان | ||
| Saiedeh Peyghambarzadeh1؛ Teimour Babaeinejad* 1؛ Javad Hadian2؛ Allahyar Fallah3؛ Navid Ghanavati1 | ||
| 1Department of Soil Science, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran | ||
| 2Department of Horticulture, Medicinal Plants and Drug Research Institute, Shahid Beheshti University G. C., Tehran, Iran | ||
| 3Department of Agronomy, Mazandaran Branch, Agricultural Research, Education and Extension Organization (AREEO), Rice Research Institute of Iran, Amol, Iran | ||
| چکیده | ||
| Horsetail (Equisetum arvense) has gained prominence in the herbal products industry, particularly for nail and hair-strengthening formulations, owing to its high silicon (Si) content. Silicon plays a crucial role in the plant's synthesis of key antioxidants, specifically phenolic and flavonoid compounds. Therefore, identifying methods to enhance the Si content in plants is of paramount importance. This study aimed to investigate and attempt to assess how inorganic (nitrogen and silicon) and organic (rice husk) compounds influence the phytochemical and growth properties of E. arvense. For this purpose, an RCBD experiment with three replications was conducted at the Rice Research Institute of Iran in 2019. The treatments included organic (rice husk) and inorganic (N and Si) fertilizers at varying proportions. The experiment results showed that the majority of traits were highly correlated with each other. Total flavonoid content exhibited the strongest correlations with total phenolic content (0.709) and rhizome count per plant (0.771), both of which were positive and statistically significant. Four types of models were generated four the stepwise regression analysis phase, in which total phenolic and total flavonoid contents exerted had the most significant influence in determining silicon content. The R² values for the models were as follows: Model 1 (22.1%), Model 2 (37.5%), Model 3 (59.6%), and Model 4 (63%). The direct positive effect for total phenolic content had a direct positive effect of 0.470 content was 0.470, while total flavonoid content showed a direct positive effect of 0.866 and a direct negative effect of -0.558. POD enzymatic activity demonstrated direct positive effects (1.524) as well as direct negative effects (-0.822 and -0.691). For stem length, direct positive effects were observed (1.312 and 0.320), along with direct negative effects (-0.558, -0.605, -0.691, and -0.831). | ||
تازه های تحقیق | ||
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| کلیدواژه‌ها | ||
| Horsetail؛ Organic and inorganic elements؛ Path analysis؛ Stepwise regression | ||
| مراجع | ||
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