[Objective] This paper researched how to use specific approach to select quantitative characteristics which would be listed in the DUS Test Guideline of Tagetes L. [Method] With the aid of statistic analysis, the unif...[Objective] This paper researched how to use specific approach to select quantitative characteristics which would be listed in the DUS Test Guideline of Tagetes L. [Method] With the aid of statistic analysis, the uniformity, stability and correlation of 14 pre-selected characteristics were analyzed. [Result] The expression of peduncle length of terminal flower had low uniformity within a variety; the expres- sion of main stem thickness was not stable in continuous growing cycles; there were four pairs of quantitative characteristics which are （very） significantly correlated, namely, leaf length and leaf width, diameter of flower head and length of outer ligu- late floret, number of ligulate floret whorls and number of ligulate floret, leaf width and width of terminal leaflet of pinnate leaves. Based on the requirements of char- acteristic selection and the results of statistic analysis, five characteristics including peduncle length of terminal flower, thickness of the main stem, leaf width, length of outer ligulate floret and number of ligulate floret were deleted. [Conclusion] For the first time, this paper introduced the application of statistic analysis on the selection of quantitative characteristics.展开更多
基金Supported by Fund for Agro-scientific Research in the Public Interest(200903008-14)Chinese National 948 Program(2009-Z11)~~
文摘[Objective] This paper researched how to use specific approach to select quantitative characteristics which would be listed in the DUS Test Guideline of Tagetes L. [Method] With the aid of statistic analysis, the uniformity, stability and correlation of 14 pre-selected characteristics were analyzed. [Result] The expression of peduncle length of terminal flower had low uniformity within a variety; the expres- sion of main stem thickness was not stable in continuous growing cycles; there were four pairs of quantitative characteristics which are （very） significantly correlated, namely, leaf length and leaf width, diameter of flower head and length of outer ligu- late floret, number of ligulate floret whorls and number of ligulate floret, leaf width and width of terminal leaflet of pinnate leaves. Based on the requirements of char- acteristic selection and the results of statistic analysis, five characteristics including peduncle length of terminal flower, thickness of the main stem, leaf width, length of outer ligulate floret and number of ligulate floret were deleted. [Conclusion] For the first time, this paper introduced the application of statistic analysis on the selection of quantitative characteristics.
