摘要
将藜麦地上部的鲜重视为藜麦生物量指标,并通过Matlab软件对藜麦生物量累积及相关气象因素进行相关性分析,发现藜麦生物量累积与水气压、积温、日照、蒸发量、相对湿度及降水量等气象因素都具有显著的相关性;用SPSS软件对藜麦生物量累积与气象因素进行Logistic生长模型的拟合,明确阐述藜麦长势与主要的气象因素之间的相互关系。同时,利用多元微分和一元线性回归分析,研究各类气象因素对藜麦生长发育的共同作用及单向作用,其拟合结果较明显地表现了藜麦生长与相关气象因素之间的关系。
In this paper,the fresh weight of quinoa is considered as the index of quinoa biomass,and the correlation analysis of the biomass accumulation and its related meteorological factors was conducted by Matlab software. It was found that the biomass accumulation of quinoa had significant correlation with water pressure,accumulated temperature,sunshine,evaporation,relative humidity and precipitation; we fitted the Logistic Growth Model of the biomass accumulation of quinoa and meteorological factors by SPSS software,and clarified the relationship between the growth of quinoa and the main meteorological factors. Simultaneously,using multiple differential and one-dimensional linear regression,we studied the effects of various meteorological factors on the growth and development of quinoa. The fitting results show that the relationship between the growth of quinoa and the related meteorological factors is obvious.
出处
《吉林农业大学学报》
CAS
CSCD
北大核心
2017年第6期743-747,共5页
Journal of Jilin Agricultural University
基金
吉林省教育厅"十三五"科学技术研究项目(JJKH20170296KJ)
吉林省教育厅高校创新团队项目
国家自然科学基金项目(41601454)
吉林省科技发展计划项目(20150204058NY
20160519014JH)
第八批吉林省工程研究中心项目
长春市科技计划项目(14NK027)
关键词
藜麦
气象因素
生长模型
多元微分
一元线性回归
吉林省
quinoa
meteorological factor
growth model
multiple differential
one-dimensionallinear regression
Jilin province
