Tailored Weed Management in Mango Farm: Insights from Euphorbia heterophylla and Mimosa pudica Spatial Distribution
Year: 2025
Type: article
Abstract: Understanding the spatial variation in soil properties and the distribution of weeds is crucial for implementing sustainable weed management practices. This study aimed to explore the spatial distribution of Mimosa pudica and Euphorbia heterophylla, examining the impact of soil properties on their spatial distribution and density. The emerged weeds were counted on a regular grid (20x20m) with 60 observation points covering a study area of 2.49 ha. The physico-chemical properties of soil such as pH, temperature, moisture, total carbon, electrical conductivity (EC), total nitrogen (TN), available phosphorus, exchangeable potassium, exchangeable magnesium (Ex-Mg), exchangeable calcium (Ex-Ca) determined. The density of E. heterophylla had a positive correlation with TN (r=0.339), Ex-Mg (r=0.367), and Ex-Ca (r=0.438). By contrast, M. pudica exhibited a negative correlation with EC (r=-0.449). The geostatistical analysis uncovered diverse distribution patterns for E. heterophylla, M. pudica, and soil nutrients across the study. The analysis revealed the Gaussian model is suitable for E. heterophylla and TN, the spherical model for M. pudica, EC, and Ex-Mg, and the exponential model for Ex-Ca. The creation of individual weed distribution maps can serve as a valuable tool for implementing localized mechanical and chemical control methods, enhancing the efficiency, effectiveness, and cost-effectiveness of weed management. The knowledge is essential for making well-informed decisions on the site-specific management of E. heterophylla and M. pudica in Harumanis mango cultivation.
Source: Malaysian Applied Biology
Authors: Nurul Aiza, Khairun-Nisa Kamarudin, Seng-Chee Poh, Tse-Seng Chuah
Institutions: Universiti Teknologi MARA, Universiti Malaysia Terengganu
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDGs: Life on land, Zero hunger
Open Access status: diamond
Funder: Universiti Teknologi MARA
OpenAlex ID: W4411917100
