摘要
利用多年水稻(早稻和晚稻)区域试验产量结果和有关试验点气象资料,分析了基因型×环境互作效应年间变化趋势、各试点平均产量与主要气象因子的关系、产量影响因子的主成分等,并用逐步回归分析法建立水稻产量回归模型。研究表明,水稻基因型×环境互作效应值在年度间相对稳定(早稻0.31,晚稻0.19)。试点平均产量与气象因子的相关性分析结果表明,产量与水稻生长季节(3-10月)的总积温(0.326 87)和总辐射(0.268 86)有较大的相关性,而与总雨量(-0.432 32)呈较大的负相关。影响产量的主成分因子分别是热量、粒重、生育期和粒数;利用各主成分进行逐步回归建立的产量回归方程,相关系数(R)达0.949 83*。
Data in regional trials of early and late rice and meteorological data at the test sites in Fujian were used to study the inter - annual variation of GEl （ genotype × environment interaction） in the province. GEl appeared to be relatively stable from year to year, Correlation analysis of the mean yield at each test site and the meteorological factors showed that grain yield of rice was correlated positively with light radiation and temperature during the rice - growing season （ March to October） and negatively with total rainfall. The principal influencing factors for grain yield were heat, kernel weight, growth duration and grain number. A regression model was established using step - wise regression of the principal components and the determination coefficient （R） was as high as 0. 949 83.
出处
《西南农业大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第5期579-583,共5页
Journal of Southwest Agricultural University
基金
福建省教育厅资助项目(JA00186)
福建农林大学校内青年教师基金资助项目(200201A01)
关键词
水稻
产量
气象因子
主成分分析
回归分析
rice
regional trial
meteorological factor
principal component analysis
regression analysis
