Xinguang Cai , Yaodong Liu

Modern Agricultural Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Field Crop, 2025, Vol. 8, No. 6   
Received: 01 Oct., 2025    Accepted: 13 Nov., 2025    Published: 02 Dec., 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.

In subtropical rice-growing areas, the problems of rising labor costs and tight water resources have become increasingly prominent, promoting the rapid development of Mechanized Direct-seeded Rice (MDSR) technology. However, as the key factors affecting the yield and stability of mechanical direct seeding rice, the optimal combination of sowing period and planting density has not yet been systematically studied and precisely guided in subtropical regions. This study aims to clarify the influence mechanisms of different sowing periods and planting densities on the growth and development, population structure, yield composition and resource utilization efficiency of mechanically direct-sown rice in subtropical regions, explore their interaction relationships, and systematically evaluate the physiological and ecological performance of various combinations of sowing periods and densities through field trial cases conducted in South China. Combined with meteorological data and yield factor analysis, efficient and stable production plans were screened out, striving to provide a scientific basis for the regionalized cultivation of mechanical direct seeding rice. This research not only enriches the theoretical system of efficient rice cultivation, but also provides practical support for promoting the regional adaptation of mechanized and intelligent green rice cultivation, which is of great significance for ensuring food security and achieving sustainable agricultural development.

Rice (Oryza sativa L.); Mechanical live streaming; Planting density; Sowing period; Output optimization