Xiaojing Yang , Han Liu

Modern Agricultural Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Journal of Energy Bioscience, 2025, Vol. 16, No. 4   
Received: 05 Jun., 2025    Accepted: 08 Jul., 2025    Published: 23 Jul., 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.

The study mainly summarizes some key factors and optimization methods for improving energy corn biomass yield. Appropriate planting density and row spacing can significantly increase the aboveground yield of corn. But how to plant it depends on the corn variety and local climatic conditions, and it cannot be a one-size-fits-all approach. In addition, the amount of nitrogen fertilizer and the time of harvest are also very important. Applying more nitrogen fertilizer appropriately and choosing the right time to harvest can increase the yield and biomethane output. From 1983 to 2017, thanks to new breeding techniques and increased planting density, corn biomass yield increased by about 30%. Among them, breeding has a greater impact on yield than planting density. In heavily polluted soils, applying some humic acid can also help, which can significantly increase corn dry matter yield and energy output. If the management input is high, such as enough fertilizer, the biomass yield will also be higher; however, with moderate input, the energy utilization rate may be better. Some new technologies now, such as remote sensing combined with crop models, can also help us more accurately estimate corn yields over a large area. This is very useful for adjusting field management. If you want to increase the yield of energy corn, it is very important to choose the right variety, arrange the planting density, manage the fertilizer, grasp the harvesting time, and add the help of some modern technology.

Energy corn; Biomass yield; Planting density; Nutrient management; Breeding optimization