Risk Assessment of Different Maize (<i>Zea mays</i> L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model

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 assessme...

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Autores principales:	Xuli Zan, Ziyao Xing, Xiang Gao, Wei Liu, Xiaodong Zhang, Zhe Liu, Shaoming Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	maize lodging risk assessment joint probability distribution copula function Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/698a3e26c1e04aa986b0d61121f72f02
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spelling	oai:doaj.org-article:698a3e26c1e04aa986b0d61121f72f022021-11-25T17:52:44ZRisk Assessment of Different Maize (<i>Zea mays</i> L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model10.3390/ijgi101107232220-9964https://doaj.org/article/698a3e26c1e04aa986b0d61121f72f022021-10-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/723https://doaj.org/toc/2220-9964Mastering 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.Xuli ZanZiyao XingXiang GaoWei LiuXiaodong ZhangZhe LiuShaoming LiMDPI AGarticlemaize lodgingrisk assessmentjoint probability distributioncopula functionGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 723, p 723 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	maize lodging risk assessment joint probability distribution copula function Geography (General) G1-922
spellingShingle	maize lodging risk assessment joint probability distribution copula function Geography (General) G1-922 Xuli Zan Ziyao Xing Xiang Gao Wei Liu Xiaodong Zhang Zhe Liu Shaoming Li Risk Assessment of Different Maize (<i>Zea mays</i> L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model
description	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.
format	article
author	Xuli Zan Ziyao Xing Xiang Gao Wei Liu Xiaodong Zhang Zhe Liu Shaoming Li
author_facet	Xuli Zan Ziyao Xing Xiang Gao Wei Liu Xiaodong Zhang Zhe Liu Shaoming Li
author_sort	Xuli Zan
title	Risk Assessment of Different Maize (<i>Zea mays</i> L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model
title_short	Risk Assessment of Different Maize (<i>Zea mays</i> L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model
title_full	Risk Assessment of Different Maize (<i>Zea mays</i> L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model
title_fullStr	Risk Assessment of Different Maize (<i>Zea mays</i> L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model
title_full_unstemmed	Risk Assessment of Different Maize (<i>Zea mays</i> L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model
title_sort	risk assessment of different maize (<i>zea mays</i> l.) lodging types in the northeast and the north china plain based on a joint probability distribution model
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/698a3e26c1e04aa986b0d61121f72f02
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Risk Assessment of Different Maize (<i>Zea mays</i> L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model

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