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大豆主要性状间的灰色关联度分析 被引量:41

Analysis of Grey Correlative Grade among Main Characters of Soybean
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摘要 采用灰色关联度分析方法 ,对20个大豆品种主要性状进行了分析。试验结果表明,对单株产量影响最大的是单株粒数 ,其次是单株荚数和主茎节数 ,分枝数和株高对单株产量的影响较小。优势分析表明 ,大豆农艺性状对其脂肪含量的影响最大 ,对脂肪含量和蛋白质含量影响最大的是百粒重 ,其次是产量和单株荚数。 Twenty different soybean varieties were studied with grey correlative grade analysis among main characters of soybean.The result showed that the number of seeds per plant was the most effective factor for the yield per plant.The number of pods per plant,the number of nodes per stem and the number of branches per plant ranked after the number of seeds.And the plant height was the factor.Preponderant analysis indicated that effect of agronomic characters for oil content was larger than that of other qualitative charˉacters.100-seed-weight was the most effective factor among the agronomic characters for the content of protein and oil,followed by the yield per plant and the number of pods per plant.
出处 《沈阳农业大学学报》 CAS CSCD 2004年第1期1-3,共3页 Journal of Shenyang Agricultural University
基金 吉林省科技厅资助项目(9805882)
关键词 灰色关联分析 数量性状 大豆 蛋白质含量 产量 grey correlative analysis quantitative character soybean preponderant analysis
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