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[目的]分析江苏地区玉米品种植株性状的相关性,并探讨环境因素对玉米植株性状的影响。[方法]在江苏盐城大丰市开展玉米植株性状相关性试验,采用随机区组试验设计,播种密度6.75万株/hm2;在江苏省宿迁市沭阳县、连云港赣榆县和徐州丰县开展环境因素对玉米植株性状的影响试验,播种密度6.75万株/hm2。[结果]比较不同品种的植株性状,发现不同类型的品种间穗下节间数、穗上节间数、地上总节数、株高、穗位高等植株性状显著不同;品种的生育期与植株的地上总节数和穗下节数呈极显著正相关,株高与植株的总节数呈显著正相关,穗位高与植株的穗下节数呈显著相关。对3个地点的植株性状和环境因素分析后发现,穗上节数受环境影响小,积温与株高、地上总节数呈极显著正相关,积温与穗位高呈显著正相关;降雨量与株高、穗位高、穗上节数、穗下节数、地上总节数呈正相关,其中与株高呈显著正相关。[结论]该研究可为江苏省玉米新品种选育及高产栽培提供参考。
[Objective] The research aimed to analyze the correlation of plant traits in maize varieties in Jiangsu Province and explore the influence of environmental factors on plant traits in maize. [Method] The correlation test of corn plant traits was carried out in Dafeng, Yancheng, Jiangsu Province. Randomized block design was used to test the planting density of 67 500 plants / hm2. Environmental factors were investigated in Shuyang County, Suqian City, Jiangsu Province, Ganyu County, Lianyungang City and Feng County, Xuzhou City Effects on plant traits of corn, planting density 6.75 million / hm2. [Result] Comparing the plant traits of different varieties, it was found that the plant traits of different types of cultivars were significantly different among the internodes, ear upper internodes, There was a significant positive correlation between total number of nodes on the ground and the number of ear undergrowth. There was a significant positive correlation between the plant height and the total number of nodes of the plant. After analyzing the plant traits and environmental factors in three locations, it was found that the upper ear number affected by the environment was small, and the accumulated temperature had significant positive correlation with the plant height and the total number of nodes on the ground. There was a significant positive correlation between accumulated temperature and ear height; It had a positive correlation with plant height, ear height, number of upper panicles, number of inferior panicles and total number of nodes on the ground, with significant positive correlation with plant height. [Conclusion] This study could provide reference for breeding new corn varieties and high yielding cultivars in Jiangsu Province.