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Keterkaitan Sifat Fisika Tanah Denganketahanan Tanaman Terhadap Penyakit Harita, Reza Septa; Bawamenewi, Putri Harta
Jurnal Ilmu Pertanian dan Perikanan Vol. 1 No. 1 (2024): PENARIK - Agustus
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/penarik.v2i2.80

Abstract

This study aims to examine the relationship between soil physical properties and plant resistance to diseases. Soil physical properties, such as texture, density, and water-holding capacity, significantly influence plant health and their susceptibility to pathogen attacks. Using experimental methods involving the measurement of soil parameters and analysis of plant responses to various diseases, the results indicate that soils with optimal texture and aeration contribute to reduced infection rates. These findings suggest that proper management of soil physical properties can enhance plant resistance, providing important implications for sustainable agricultural practices. The study advocates for an integrated approach to soil management to improve plant resilience against diseases, ultimately leading to increased agricultural productivity.
Penggunaan Persamaan Diferensial Dalam Pertumbuhan Tanaman Laia, Erniaman; Bawamenewi, Putri Harta; Hia, Apriani
Jurnal Ilmu Pertanian dan Perikanan Vol. 1 No. 2 (2024): PENARIK - Desember
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/penarik.v1i2.290

Abstract

The use of differential equations in plant growth is an effective mathematical approach to describe and model the dynamics of plant growth. Differential equations are used to depict changes in plant size and biomass over time, considering factors such as water availability, light, temperature, and nutrients. These models help in predicting agricultural yields, gaining deeper insights into plant physiological processes, and optimizing cultivation practices. By utilizing differential equations, researchers can develop more accurate plant growth models, which are useful in natural resource management and increasing agricultural productivity