A Simulation Study on Optimization of Sowing Time of Maize (<i>Zea mays</i> L.) for Maximization of Growth and Yield in the Present Context of Climate Change under the North China Plain

A Simulation Study on Optimization of Sowing Time of Maize (<i>Zea mays</i> L.) for Maximization of Growth and Yield in the Present Context of Climate Change under the North China Plain

Adjusting the sowing dates of crops is an effective measure for adapting them to climate change, but very few studies have explained how the optimum sowing dates can be determined. In this study, we used the sowing date field data from 2018 to 2021 from Hebei Gucheng Agricultural Meteorology Nationa...

Full description

Bibliographic Details
Main Authors: Yixuan Wu, Guangsheng Zhou, Yanling Song, Sanxue Ren, Jinjian Geng, Huarong Zhao, Xingyang Song
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Agronomy
Subjects:
maize
yield
light-temperature potential productivity
optimal sowing date
North China Plain
Online Access:https://www.mdpi.com/2073-4395/13/2/385

Internet

https://www.mdpi.com/2073-4395/13/2/385

Similar Items