Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of Loropetalum chinense var. rubrum Yieh Cuttings and Its Modeling with Artificial Neural Networks DOI Creative Commons
Türker Oğuztürk, Cem Alparslan, Yusuf AYDIN

и другие.

Horticulturae, Год журнала: 2025, Номер 11(6), С. 564 - 564

Опубликована: Май 22, 2025

This study aimed to evaluate the rooting success of Loropetalum chinense var. rubrum Yieh cuttings in three different media: 100% peat, perlite, and a 50% peat–50% perlite mixture. Additionally, concentrations Indole Butyric Acid (IBA)—1000 ppm, 3000 6000 ppm—were tested, along with control group consisting non-hormone-treated cuttings. The chlorophyll content leaves was measured µmol/m2, its relationship examined. Measurements were conducted every 15 days over 120-day period. collected data analyzed using both an artificial neural network (ANN) SPSS 29.0.2 statistical software. Results indicated that medium yielded highest rate concentration, whereas peat performed poorest. While 1000 ppm IBA led greatest improvement rate, resulted concentration. levels observed during measurement periods M7, M8, M9. Analyses moisture pH physicochemical properties media significantly influenced cutting development. aims support identification optimal propagation methods for this species contribute literature by developing ANN model based on parameters.

Язык: Английский

Plant Growth-Promoting Microbes for Resilient Farming Systems: Mitigating Environmental Stressors and Boosting Crops Productivity—A Review DOI Creative Commons
Assiya Ansabayeva, Murat Makhambetov, Nazih Y. Rebouh

и другие.

Horticulturae, Год журнала: 2025, Номер 11(3), С. 260 - 260

Опубликована: Фев. 28, 2025

This review delves into the role of plant growth-promoting microbes (PGPMs) in sustainable agriculture by enhancing soil health, improving stress tolerance, and controlling diseases. PGPMs, which include bacteria, fungi, other microorganisms, are increasingly recognized as important contributors to promoting eco-friendly agricultural practices. Their ability improve nutrient availability, stimulate growth, protect crops from environmental stressors makes them a cornerstone for resilient efficient farming systems. By reducing dependency on synthetic fertilizers pesticides, PGPMs play vital preserving resources, minimizing greenhouse gas (GHG) emissions, combating climate change’s negative impacts. article thoroughly explores complex interactions between nutrients, pathogens, abiotic stressors. It also examines how these influence phytohormone production signaling pathways, ultimately impacting crop growth development. Furthermore, this discusses enhance uptake, modulate immune responses, resilience, offering holistic understanding their multifaceted contributions farming. synthesizing current research highlighting future directions, underscores potential revolutionize activities, ensuring food security sustainability face global challenges.

Язык: Английский

Процитировано

3
Foliar Application of a Mixture of Exogenous Substances Induces Tolerance to Drought Stress in Tea [Camellia sinensis (L.) O. Kuntze] Plants DOI

Sanam Safaei-Chaeikar,

Ahmad Shirinfekr, Seyedeh-Somayyeh Shafiei-Masouleh

и другие.

Journal of soil science and plant nutrition, Год журнала: 2025, Номер unknown

Опубликована: Май 9, 2025

Язык: Английский

Процитировано

0
Effect of Cutting Phenological Stage, Chemical Treatments, and Substrate on Rooting Softwood Cuttings of Tree Peony DOI Creative Commons
Dongli Li, Fangyun Cheng, Xiwen Tao

и другие.

Horticulturae, Год журнала: 2025, Номер 11(5), С. 552 - 552

Опубликована: Май 20, 2025

Tree peony is well-known for its ornamental value, medicine function, oil, and edible use. However, the difficulty in propagating tree impedes cultivation industrial advancement. Softwood cutting an effective method to promote propagation of peony. This research investigated effects several factors (cultivar, phenological stage, auxin type, polyamine, substrate) on rooting softwood The results showed that ability varied with cultivars stages, highest rates being ‘High noon’ ‘Jinghua Qingxue’ during vigorous growth reaching 50% 53.33%, respectively. IBA 2000 mg·L−1 was optimal cuttings, maximum root number (5.67) length (6.3 cm). Putrescine 1.0 mM could significantly improve rate quality which had 54.17% cocopeat/perlite substrate (v:v 1:1). Anatomical observation most adventitious roots were generated from callus meristem nodules differentiated cortical parenchyma cells while a few came stem bark, as well integrated induction. study innovation supplement research, protocol primarily established cuttings

Язык: Английский

Процитировано

0
Effect of Different Indole Butyric Acid (IBA) Concentrations in Various Rooting Media on the Rooting Success of Loropetalum chinense var. rubrum Yieh Cuttings and Its Modeling with Artificial Neural Networks DOI Creative Commons
Türker Oğuztürk, Cem Alparslan, Yusuf AYDIN

и другие.

Horticulturae, Год журнала: 2025, Номер 11(6), С. 564 - 564

Опубликована: Май 22, 2025

This study aimed to evaluate the rooting success of Loropetalum chinense var. rubrum Yieh cuttings in three different media: 100% peat, perlite, and a 50% peat–50% perlite mixture. Additionally, concentrations Indole Butyric Acid (IBA)—1000 ppm, 3000 6000 ppm—were tested, along with control group consisting non-hormone-treated cuttings. The chlorophyll content leaves was measured µmol/m2, its relationship examined. Measurements were conducted every 15 days over 120-day period. collected data analyzed using both an artificial neural network (ANN) SPSS 29.0.2 statistical software. Results indicated that medium yielded highest rate concentration, whereas peat performed poorest. While 1000 ppm IBA led greatest improvement rate, resulted concentration. levels observed during measurement periods M7, M8, M9. Analyses moisture pH physicochemical properties media significantly influenced cutting development. aims support identification optimal propagation methods for this species contribute literature by developing ANN model based on parameters.

Язык: Английский

Процитировано

0