6种禾本科牧草种子产量因子与产量的岭回归模型研究

Ridge regression analysis of seed yield components of six grass species

采用多区组多因素正交试验设计,通过大样本岭回归分析求出6种禾本科牧草种子产量因子与产量的岭回归模型。结果表明,除蓝茎冰草的模型外,其他5种禾本科牧草的模型中,提高任1个种子产量因子,均可不同程度提高种子产量。6个模型中,5个种子产量因子每提高1个单位对其种子产量的提高大小排序为单粒种子重>每小穗种子粒数>每小穗小花数>每生殖枝小穗数>生殖枝数。

<Abstrcat>Based on multi-factor orthogonal designed field experiment,the ridge regression models of seed yield components and seed yield of the 6 grass species are founded through ridge regression analysis with big samples.Except the model of Agropyron L.,increasing any seed yield component can increase seed yield.The order of the seed yield components to its yield is weight per seed>seed numbers per spikelet>florets per spikelet>spikelets per shoot>shoots.