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为了科学预测谷子的适宜种植密度,探索谷子种植密度与籽粒产量的数学预测模型。采用田间小区试验和非线性回归分析的方法,对主要的密度与作物产量的经验模型进行模拟和比较。结果表明,春谷种植密度对籽粒产量具有重要影响。谷子籽粒产量随着种植密度增加呈先升后降的趋势。二次曲线模型是模拟谷子密度与产量关系的最优模型。春播‘冀谷19’与‘冀谷31’的方程式分别为yj19=2725.528+86.885x-0.701x2与yj31=1289.529+131.318x-1.023x2,理论最适密度分别为61.97万株/hm2与64.18万株/hm2。由此得出,本研究确定的数学预测模型,将为春谷生产提供理论依据。
In order to predict the appropriate planting density of millet, and to explore the mathematic prediction model of millet planting density and grain yield. Empirical field plots and nonlinear regression analysis were used to simulate and compare the empirical models of the main density and crop yields. The results showed that planting density of spring valley had an important influence on grain yield. Grain yield of millet increased first and then decreased with increasing planting density. The quadratic curve model is the best model to simulate the relationship between millet density and yield. The equations of spring seeding ’Ji Gu 19’ and ’Ji Gu 31’ were yj19 = 2725.528 + 86.885x-0.701x2 and yj31 = 1289.529 + 131.318x-1.023x2, respectively. The optimal theoretical density was 61.97 million plants / hm2 and 641.8 thousand Strain / hm2. It is concluded that the mathematic forecast model determined in this study will provide a theoretical basis for spring valley production.