论文部分内容阅读
为了探讨不同种植密度对大豆性状及产量的影响,确定晋北区大豆的适宜种植密度,以晋豆43号为试验材料,设置了6个不同密度处理进行研究,结果表明:随着密度的加大,株高呈先升后降趋势,茎粗、主茎节数、分枝数、单株粒数、单株荚数、单株粒重均下降,百粒重先降后升,产量呈先增后降的趋势,适宜种植密度为21万~27万株/hm~2。相关性分析和通径分析表明:密度是优化大豆群体结构的重要措施,维持合理的种植密度,同时适当地提高单株粒重和分枝数,有利于提高大豆产量。通过SPSS曲线估计,得出种植密度与大豆产量关系的最佳预测模型是二次曲线模型y=b_0+b_1x+b_2x~2,晋北区大豆种植密度与产量关系最佳数学预测模型是y=-5762.478+791.819x-16.147x2,理论最适密度为24.5191万株/hm~2,产量为4 046.61kg/hm~2。该研究为晋北早熟区大豆高产栽培技术提供科学依据。
In order to study the effect of different planting densities on soybean traits and yield, and to determine the suitable planting density of soybean in Jinbei District, six different density treatments were set up with Jinzhu 43 as the experimental material. The results showed that with the increase of density The plant height and the plant height increased first and then decreased. The stem diameter, the number of main stems, the number of branches, the number of single plant per plant, the number of pods per plant and the weight per plant all decreased. After the downward trend, suitable planting density of 210000 ~ 270000 / hm ~ 2. Correlation analysis and path analysis showed that density was an important measure to optimize soybean population structure. Maintaining reasonable planting density and increasing grain weight and number of branches per plant at the same time were beneficial to increase soybean yield. According to the SPSS curve, the best prediction model of the relationship between planting density and soybean yield is the quadratic curve model y = b_0 + b_1x + b_2x ~ 2. The best mathematical prediction model of soybean planting density and yield in Jinbei is y = -5762.478 + 791.819x-16.147x2, the theoretical optimum density was 2451.91 plants / hm2, and the yield was 4 046.61 kg / hm2. This study provides a scientific basis for high-yield cultivation techniques of soybean in the precocious region of northern Jinbei.