Abstract
Mastering the lodging risk of planting environment is of great significance to the optimal layout of maize varieties and the breeding of lodging resistant varieties. However, the existing lodging risk models are still at the stage of single or multi-factors independent analysis, and lack of assessment for different lodging types. To address this issue, based on the mechanism of different lodging types, the Archimedean copula function was used to describe the joint probability distribution of wind speed and precipitation, and the lodging risk assessment model of maize was established. By comparing the goodness of fit, when the rank correlation coefficient of these two is positive and negative, the corresponding optimal joint probability distribution functions are the Gumbel copula and Frank copula. According to the spatial distribution of lodging risk, the area from Liaodong Bay northward to Tongyu, Jilin province in the Northeast and the North China Plain has a high frequency of lodging, in which the probability of stalk lodging is two to four times that of root lodging. Finally, we discussed how to apply the lodging risk distribution results to optimize the maize variety test sites to improve the efficiency and reliability of the existing test system. The method proposed in this paper comprehensively considers the synergistic effect of multiple factors and can provide technical support for other risk assessment.
Highlights
Lodging is a phenomenon of crop stalks from the natural upright state to an inclined state caused by external factors [1,2] and is one of the important abiotic stresses of maize (Zea mays L.)
Understanding the lodging risk in the planting environment is helpful for agricultural management, and of great significance for breeding, especially for the maize multi-environment trial (MET) in China, which was selected based on qualitative experience and has a problem of low probability in lodging stress [5]
The study area in this paper contains a total of 57 meteorological stations, and we could not analyze the best estimation methods of function parameter, the optimal edge probability distribution of wind and precipitation, and the most suitable copula function for each station one by one
Summary
Lodging is a phenomenon of crop stalks from the natural upright state to an inclined state caused by external factors [1,2] and is one of the important abiotic stresses of maize (Zea mays L.). The mechanical damage caused by maize lodging increases the probability of plant infection, the complexity of field management, and increases the difficulty and cost of mechanized harvest [4]. The research on maize lodging focuses on the mechanism analysis, including genetic analysis, internal factors, such as plant shape differences [6,7,8], and external factors, such as differences in cultivation measures [9,10]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
