冬小麦子粒品质性状多目标间接选择数学模型初探

The Mathematical Model of Indirect Selection for Multi-objective on Grain Quality Characters in Wheat

利用56个冬小麦品种(系),采用双重逐步回归的方法,建立了冬小麦子粒品质性状多目标间接选择数学模型.结果表明.适当增加株高和单株穗数,可同时提高单株子粒蛋白质产量与含量及干面筋含量;而增加单株子粒产量可以提高单株子粒蛋白质产量,但降低子粒蛋白质含量和干面筋含量;千粒重每增加1.0g,沉淀值减少0.07791ml;湿面筋含量随株高增加而增高,随结实小穗数增加而降低.

The mathematical model of indirect selection for multi-objective on grain quality characters in wheat was studied by adopting doable stepwise regression with 56 wheat varieties. The model showed that the grain protein yield per plant, grain protein content and dry gluten content might be raised through increasing plant height and ear number per plant.The protein yield per plant might be raised and the grain protein content and dry gluten content might be reduced through increasing grain yield . When 1000-kernel weight raised by 1.0g,sedimentation value reduced by 0.07791ml, Wet gluten content can raise with increase of plant height and can reduc with decrease of fertile spikeler per ear.