论文部分内容阅读
采用典范相关分析法和层次分析法对60个油菜品种(系)的24个性状构造优质高产油菜多目标综合选择指数。结果表明,两种指数都有一定的选择效果。典范相关分析法构造的指数可解决易测性状的选择,间接改良一些难测性状,具有实用性;层次分析法在构造指数时,可包含育种目标,选出的品系更符合生产要求,并具有通用性。
The Canonical Correlation Analysis and Analytical Hierarchy Process (AHP) were used to construct the multi-objective comprehensive selection index of high quality and high yield rapeseed for 24 traits of 60 rape cultivars (lines). The results show that both indices have a certain selection effect. The index constructed by Canonical Correlation Analysis can solve the selection of testable trait and indirectly improve some unpredictable traits, which is of practical value. The AHP can contain the goal of breeding when constructing index, and the selected line is more in line with the production requirements and has Versatility.