Nuan Wang , Cong Wu , Yanan Zhang , Feng Qian , Ting Shao

Agricultural Technology Extension Center of Lanxi City, Lanxi, 321100, Zhejiang, China
Author    Correspondence author
International Journal of Horticulture, 2024, Vol. 14, No. 6   doi: 10.5376/ijh.2024.14.0036
Received: 20 Oct., 2024    Accepted: 22 Nov., 2024    Published: 05 Dec., 2024

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.

Wang N., Wu C., Zhang Y.N., Qian F., and Shao T., 2024, Key agronomic factors influencing rapeseed yield and quality and optimization strategies, International Journal of Horticulture, 14(6): 355-367 (doi: 10.5376/ijh.2024.14.0036)

This study explores the key agronomic factors affecting the yield and quality of rapeseed (Brassica napus L.), aiming to enhance its economic value through optimized cultivation practices. The findings show that climatic conditions (such as temperature, precipitation, and sunlight) play a crucial role in rapeseed growth and oil synthesis; extended daylight at high altitudes can prolong seed development periods, thereby increasing yield. Additionally, soil fertility and nutrient management, particularly the balanced application of nitrogen, phosphorus, potassium, and trace elements, are essential for improving both yield and quality in rapeseed. Appropriate planting density, weed control, and pest management also significantly impact plant growth quality. The study indicates that integrating precision agriculture with modern breeding techniques, such as QTL mapping and GWAS, under different ecological conditions can effectively enhance rapeseed resilience and nutritional value, thereby promoting sustainable production. This study provides practical scientific insights for optimizing rapeseed cultivation, contributing positively to global edible oil and bioenergy demand.

Rapeseed (Brassica napus L.); Yield optimization; Quality improvement; Agronomic factors; Climate impact; Precision agriculture