Meili Chen

Jinhua Wucheng Chenmeili Family Farm, Jinhua, 321075, Zhejiang, China
Author    Correspondence author
Bioscience Methods, 2025, Vol. 16, No. 1   doi: 10.5376/bm.2025.16.0002
Received: 03 Nov., 2024    Accepted: 05 Jan., 2025    Published: 26 Jan., 2025

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Chen M.L., 2025, Insights into optimizing cultivation practices for enhanced yield and quality in fresh-eating maize, Bioscience Methods, 16(1): 11-22 (doi: 10.5376/bm.2025.16.0002)

The increasing consumer demand for high-yield and high-quality fresh-eating maize necessitates the adoption of scientific cultivation practices to enhance its yield and quality. This study reviews the latest advancements in optimizing cultivation practices for fresh maize, focusing on key strategies such as planting density, water and fertilizer management, integrated pest and disease control, mechanization, and smart technologies. Findings indicate that precise planting density and water-fertilizer management significantly improve yield and quality, while eco-friendly practices like intercropping and crop rotation enhance soil health and reduce pest risks. Moreover, intelligent monitoring and mechanized operations further boost management efficiency and product quality. Despite the immense potential of optimized cultivation practices in fresh maize production, challenges such as climate change, technical dissemination, and limitations of small-scale farming persist. Future efforts should integrate smart technologies with precision management, develop region-specific cultivation models, and promote sustainable agricultural practices. This study provides theoretical support and practical guidance for fresh maize producers, contributing to the development of efficient and sustainable modern agriculture.

Fresh-eating maize; Cultivation optimization; Precision management; Ecological agriculture; Smart technologies