[Dynamic prediction and evaluation method of maize chilling damage].
In order to prevent and alleviate the chilling damage of maize, a dynamic prediction and evaluation method on its emergence and loss was developed by using an improved dynamic model of maize growth and dry matter accumulation, and new parameters and damage indices. The method followed the thermal constant theory and the principles of maize biology and ecology, utilized relative accumulated temperature as the leading factor of maize development stage prediction and damage discretion, and took dry matter shortage rate as the loss rate of the damage. The results of test and tryout showed that the method was objective and applicable, and suited for various places of Northeastern China through areal adjustment of parameters and indices.
Ma
Shuqing
S
Institute of Meteorological Science of Jilin Province, Changchun, China. jlmsq@mail.jl.cn
Liu
Yuying
Y
Wang
Qi
Q
D018533:Biomass; D003080:Cold Temperature; D005069:Evaluation Studies as Topic; D008962:Models, Theoretical; D013696:Temperature; D003313:Zea mays / Q000254:growth & development* / Q000502:physiology