2025, Vol. 10, Issue 6, Part B
Statistical modeling of vegetative growth parameters of halwani and kamali grapevines under mulching and salicylic acid treatments
Author(s): Elena Marques, Antonio Silva and Carlos Ramirez
Abstract: This research aims to investigate the effects of mulching and salicylic acid treatments on the vegetative growth parameters of Halwani and Kamali grapevines. These treatments are critical in improving vine growth, especially under challenging environmental conditions. The research utilizes statistical modeling to analyze the impact of mulching and salicylic acid on key growth parameters such as shoot length, leaf area, stem diameter, and vine biomass. The research employed a randomized complete block design with four treatments: mulching with organic materials, salicylic acid foliar spray, a combination of both, and a control group with no treatment. Statistical tools, including ANOVA and regression analysis, were applied to evaluate the significance of the treatments on the growth parameters. The results indicated that mulching and salicylic acid application significantly enhanced vegetative growth in both grapevine cultivars, with the combined treatment showing the most substantial improvement. This suggests that integrating mulching with growth regulators such as salicylic acid can be an effective strategy for enhancing grapevine growth, particularly in arid regions. The findings also highlight the importance of optimizing vineyard management practices to improve grape production, particularly in areas facing water scarcity. This research provides valuable insights for vineyard managers seeking to improve grapevine health and productivity using sustainable agricultural practices.
DOI: 10.22271/maths.2025.v10.i6b.2208Pages: 169-172 | Views: 50 | Downloads: 0Download Full Article: Click Here
How to cite this article:
Elena Marques, Antonio Silva, Carlos Ramirez.
Statistical modeling of vegetative growth parameters of halwani and kamali grapevines under mulching and salicylic acid treatments. Int J Stat Appl Math 2025;10(6):169-172. DOI:
10.22271/maths.2025.v10.i6b.2208