|Keywords:||水稻;主成份分析法||Issue Date:||Jun-1993||Publisher:||臺灣農學會||Journal Issue:||162||Start page/Pages:||1-10||Source:||中華農學會報||Abstract:||
Thirty two rice varieties (lines) were used as materials in this study, and the principal component analysis was performed to elucidate the relationships between the panicle weight and its six components. According to the results of analysis, the first four components were extracted for study. From the scatter diagram of 32 varieties (lines) on plane defined by the first and second principal components, classification of rice varieties (lines) was made based on the value of panicle weight and the distance of varieties (lines) on the diagram. All varieties (lines) were classified into six groups: I-VI. The distinction among groups was very clear. The higher average number of spikelets per primary branch, number of secondary branches, total number spikelets of secondary branches, number of spikelets per panicle and weight of thousand grains of varieties (lines) were, the higher their panicle weight were. Positive correlations between panicle and its components were found, except number of secondary branches. The conclusion from correlation analysis was a little different from that of the principal component analysis's. The latter was superior for the study of the relationships between panicle weight and its components. The panicle weight was positively correlated to grain yield per hill, but it was negatively correlated to panicle number. Therefore, if we want to increase rice yield by breeding varieties with high panicle weight, the panicle number per unit area has to be kept not too low.
|Appears in Collections:||農藝系|
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